METHODS AND SYSTEMS FOR ANALYZING TARGETABLE PATHOLOGIC PROCESSES IN COVID-19 VIA GENE EXPRESSION ANALYSIS

Information

  • Patent Application
  • 20230220470
  • Publication Number
    20230220470
  • Date Filed
    May 10, 2021
    4 years ago
  • Date Published
    July 13, 2023
    a year ago
Abstract
The present disclosure provides systems and methods for machine learning classification and assessment of COVID-19 disease based on gene expression data. In an aspect, a method for determining a COVID-19 disease state of a subject may comprise: (a) assaying a biological sample obtained or derived from the subject to produce a data set comprising gene expression measurements of the biological sample at each of a plurality of COVID-19 disease-associated genomic loci; (b) computer processing the data set to determine the COVID-19 disease state of the subject; and (c) electronically outputting a report indicative of the COVID-19 disease state of the subject.
Description
BACKGROUND

SARS-CoV2 is a coronavirus and causative agent of the COVID-19 pandemic. COVID-19 typically causes mild respiratory symptoms, but may escalate to acute respiratory distress syndrome (ARDs) with an increased risk of respiratory failure and death. However, the trajectory of disease progression and the status of affected tissues in COVID-19 patients has not been elucidated. A comprehensive analysis of gene expression data from the blood, lung, and airway of COVID-19 patients is performed to investigate the host response to SARS-CoV2 infection. Results indicate that COVID-19 pathogenesis is driven by populations of myeloid-lineage cells with highly inflammatory but distinct transcriptional signatures, suggesting a progression in activation from the periphery to the lung tissue. In addition, through analysis of immune cells and inflammatory pathways enriched in each compartment, a model of the systemic response to SARS-CoV2 is constructed, and therapeutics targeting key upstream regulators of pathways contributing to COVID-19 pathogenesis are identified.


SUMMARY

In an aspect, the present disclosure provides a method of identifying one or more records having a specific phenotype, the method comprising: receiving a plurality of first records, wherein each first record is associated with one or more of a plurality of phenotypes; receiving a plurality of second records, wherein each second record is associated with one or more of the plurality of phenotypes, and wherein the plurality of second records and the plurality of first records are non-overlapping; applying a machine learning algorithm to at least one first record and at least one second record to determine a classifier; receiving a plurality of third records, wherein the third records are distinct from the plurality of first records and the plurality of second records; and applying the classifier to the plurality of third records to identify one or more third records associated with the specific phenotype.


In some embodiments, the first records and the second records comprise nucleic acid sequencing data, transcriptome data, genome data, epigenome data, proteome data, metabolome data, virome data, metabolome data, methylome data, lipidomic data, lineage-ome data, nucleosomal occupancy data, a genetic variant, a gene fusion, an insertion or deletion (indel), or any combination thereof. In some embodiments, the first records and the second records are in different formats. In some embodiments, the first records and the second records are from different sources, different studies, or both. In some embodiments, the phenotype comprises a disease state, an organ involvement, a medication response, or any combination thereof. In some embodiments, the classifier comprises an elastic generalized linear model classifier, a k-nearest neighbors classifier, a random forest classifier, or any combination thereof.


In some embodiments, the elastic generalized linear model classifier employs an elastic penalty of about 0.8 to about 1. In some embodiments, the elastic generalized linear model classifier employs an elastic penalty of at least about 0.8, about 0.825, about 0.85, about 0.875, about 0.9, about 0.925, about 0.95, about 0.975, or about 1. In some embodiments, the elastic generalized linear model classifier employs an elastic penalty of at most about 0.8, about 0.825, about 0.85, about 0.875, about 0.9, about 0.925, about 0.95, about 0.975, or about 1. In some embodiments, the elastic generalized linear model classifier employs an elastic penalty of about 0.8 to about 0.825, about 0.8 to about 0.85, about 0.8 to about 0.875, about 0.8 to about 0.9, about 0.8 to about 0.925, about 0.8 to about 0.95, about 0.8 to about 0.975, about 0.8 to about 1, about 0.825 to about 0.85, about 0.825 to about 0.875, about 0.825 to about 0.9, about 0.825 to about 0.925, about 0.825 to about 0.95, about 0.825 to about 0.975, about 0.825 to about 1, about 0.85 to about 0.875, about 0.85 to about 0.9, about 0.85 to about 0.925, about 0.85 to about 0.95, about 0.85 to about 0.975, about 0.85 to about 1, about 0.875 to about 0.9, about 0.875 to about 0.925, about 0.875 to about 0.95, about 0.875 to about 0.975, about 0.875 to about 1, about 0.9 to about 0.925, about 0.9 to about 0.95, about 0.9 to about 0.975, about 0.9 to about 1, about 0.925 to about 0.95, about 0.925 to about 0.975, about 0.925 to about 1, about 0.95 to about 0.975, about 0.95 to about 1, or about 0.975 to about 1. In some embodiments, the elastic generalized linear model classifier employs an elastic penalty of about 0.8, about 0.825, about 0.85, about 0.875, about 0.9, about 0.925, about 0.95, about 0.975, or about 1.


In some embodiments, the k-nearest neighbors classifier employs a K value of the size of the plurality of distinct first data sets, wherein k is about 1 to about 20. In some embodiments, the k-nearest neighbors classifier employs a K value of the size of the plurality of distinct first data sets, wherein k is at least about 1, about 2, about 3, about 4, about 5, about 6, about 8, about 10, about 12, about 14, about 16, or about 20. In some embodiments, the k-nearest neighbors classifier employs a K value of the size of the plurality of distinct first data sets, wherein k is at most about 1, about 2, about 3, about 4, about 5, about 6, about 8, about 10, about 12, about 14, about 16, or about 20. In some embodiments, the k-nearest neighbors classifier employs a K value of the size of the plurality of distinct first data sets, wherein k is about 1 to about 2, about 1 to about 3, about 1 to about 4, about 1 to about 5, about 1 to about 6, about 1 to about 8, about 1 to about 10, about 1 to about 12, about 1 to about 14, about 1 to about 16, about 1 to about 20, about 2 to about 3, about 2 to about 4, about 2 to about 5, about 2 to about 6, about 2 to about 8, about 2 to about 10, about 2 to about 12, about 2 to about 14, about 2 to about 16, about 2 to about 20, about 3 to about 4, about 3 to about 5, about 3 to about 6, about 3 to about 8, about 3 to about 10, about 3 to about 12, about 3 to about 14, about 3 to about 16, about 3 to about 20, about 4 to about 5, about 4 to about 6, about 4 to about 8, about 4 to about 10, about 4 to about 12, about 4 to about 14, about 4 to about 16, about 4 to about 20, about 5 to about 6, about 5 to about 8, about 5 to about 10, about 5 to about 12, about 5 to about 14, about 5 to about 16, about 5 to about 20, about 6 to about 8, about 6 to about 10, about 6 to about 12, about 6 to about 14, about 6 to about 16, about 6 to about 20, about 8 to about 10, about 8 to about 12, about 8 to about 14, about 8 to about 16, about 8 to about 20, about 10 to about 12, about 10 to about 14, about 10 to about 16, about 10 to about 20, about 12 to about 14, about 12 to about 16, about 12 to about 20, about 14 to about 16, about 14 to about 20, or about 16 to about 20. In some embodiments, the k-nearest neighbors classifier employs a K value of the size of the plurality of distinct first data sets, wherein k is about 1, about 2, about 3, about 4, about 5, about 6, about 8, about 10, about 12, about 14, about 16, or about 20.


In some embodiments, the K-value of the random forest classifier is incremented by 1 if the k-value is an even number. In some embodiments, applying a machine learning algorithm to the third data set comprises applying a machine learning algorithm to a plurality of unique third data sets.


In some embodiments, the classifier identifies said one or more third records associated with the specific phenotype with an accuracy of about 70% to about 100%. In some embodiments, the classifier identifies said one or more third records associated with the specific phenotype with an accuracy of at least about 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%. In some embodiments, the classifier identifies said one or more third records associated with the specific phenotype with an accuracy of at most about 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%. In some embodiments, the classifier identifies said one or more third records associated with the specific phenotype with an accuracy of about 70% to about 75%, about 70% to about 80%, about 70% to about 85%, about 70% to about 90%, about 70% to about 95%, about 70% to about 100%, about 75% to about 80%, about 75% to about 85%, about 75% to about 90%, about 75% to about 95%, about 75% to about 100%, about 80% to about 85%, about 80% to about 90%, about 80% to about 95%, about 80% to about 100%, about 85% to about 90%, about 85% to about 95%, about 85% to about 100%, about 90% to about 95%, about 90% to about 100%, or about 95% to about 100%. In some embodiments, the classifier identifies said one or more third records associated with the specific phenotype with an accuracy of about 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%.


In some embodiments, the classifier identifies said one or more third records associated with the specific phenotype with an accuracy of about 70% to about 100%. In some embodiments, the classifier identifies said one or more third records associated with the specific phenotype with an accuracy of at least about 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%. In some embodiments, the classifier identifies said one or more third records associated with the specific phenotype with an accuracy of at most about 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%. In some embodiments, the classifier identifies said one or more third records associated with the specific phenotype with an accuracy of about 70% to about 75%, about 70% to about 80%, about 70% to about 85%, about 70% to about 90%, about 70% to about 95%, about 70% to about 100%, about 75% to about 80%, about 75% to about 85%, about 75% to about 90%, about 75% to about 95%, about 75% to about 100%, about 80% to about 85%, about 80% to about 90%, about 80% to about 95%, about 80% to about 100%, about 85% to about 90%, about 85% to about 95%, about 85% to about 100%, about 90% to about 95%, about 90% to about 100%, or about 95% to about 100%. In some embodiments, the classifier identifies said one or more third records associated with the specific phenotype with an accuracy of about 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%.


In some embodiments, the classifier herein enables a specific phenotype association sensitivity of about 70% to about 100%. In some embodiments, the classifier herein enables a specific phenotype association sensitivity of at least 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%. In some embodiments, the classifier herein enables a specific phenotype association sensitivity of at most 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%. In some embodiments, the classifier herein enables a specific phenotype association sensitivity of about 70% to about 75%, about 70% to about 80%, about 70% to about 85%, about 70% to about 90%, about 70% to about 95%, about 70% to about 100%, about 75% to about 80%, about 75% to about 85%, about 75% to about 90%, about 75% to about 95%, about 75% to about 100%, about 80% to about 85%, about 80% to about 90%, about 80% to about 95%, about 80% to about 100%, about 85% to about 90%, about 85% to about 95%, about 85% to about 100%, about 90% to about 95%, about 90% to about 100%, or about 95% to about 100%. In some embodiments, the classifier herein enables a specific phenotype association sensitivity of about 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%.


In some embodiments, the classifier herein enables a specific phenotype association specificity of about 70% to about 100%. In some embodiments, the classifier herein enables a specific phenotype association specificity of at least 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%. In some embodiments, the classifier herein enables a specific phenotype association specificity of at most 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%. In some embodiments, the classifier herein enables a specific phenotype association specificity of about 70% to about 75%, about 70% to about 80%, about 70% to about 85%, about 70% to about 90%, about 70% to about 95%, about 70% to about 100%, about 75% to about 80%, about 75% to about 85%, about 75% to about 90%, about 75% to about 95%, about 75% to about 100%, about 80% to about 85%, about 80% to about 90%, about 80% to about 95%, about 80% to about 100%, about 85% to about 90%, about 85% to about 95%, about 85% to about 100%, about 90% to about 95%, about 90% to about 100%, or about 95% to about 100%. In some embodiments, the classifier herein enables a specific phenotype association specificity of about 70%, about 75%, about 80%, about 85%, about 90%, about 95%, or about 100%.


In some embodiments, the method further comprises filtering the first records, the second records, or both. In some embodiments, the filtering comprises removing outliers, removing background noise, removing data without annotation data, normalizing, scaling, variance correcting, Weighted Gene Co-expression Network Analysis, enrichment analysis, dimensionality reduction, or any combination thereof. In some embodiments, the normalizing is performed by Robust Multi-Array Analysis (RMA), Guanine Cytosine Robust Multi-Array Analysis (GCRMA), Linear Models for Microarray Data, variance stabilizing transformation (VST), normal-exponential quantile correction (NEQC), or any combination thereof. In some embodiments, the variance correction comprises employing a local empirical Bayesian shrinkage, adjusting the p-values for multiple hypothesis testing using the Benjamini-Hochberg correction, and removing all data with a set false discovery rate


In some embodiments, the false discovery rate is about 0.000001 to about 0.2. In some embodiments, the false discovery rate is at least about 0.000001. In some embodiments, the false discovery rate is at most about 0.2. In some embodiments, the false discovery rate is about 0.000001 to about 0.00005, about 0.000001 to about 0.00001, about 0.000001 to about 0.0005, about 0.000001 to about 0.0001, about 0.000001 to about 0.005, about 0.000001 to about 0.001, about 0.000001 to about 0.05, about 0.000001 to about 0.01, about 0.000001 to about 0.2, about 0.00005 to about 0.00001, about 0.00005 to about 0.0005, about 0.00005 to about 0.0001, about 0.00005 to about 0.005, about 0.00005 to about 0.001, about 0.00005 to about 0.05, about 0.00005 to about 0.01, about 0.00005 to about 0.2, about 0.00001 to about 0.0005, about 0.00001 to about 0.0001, about 0.00001 to about 0.005, about 0.00001 to about 0.001, about 0.00001 to about 0.05, about 0.00001 to about 0.01, about 0.00001 to about 0.2, about 0.0005 to about 0.0001, about 0.0005 to about 0.005, about 0.0005 to about 0.001, about 0.0005 to about 0.05, about 0.0005 to about 0.01, about 0.0005 to about 0.2, about 0.0001 to about 0.005, about 0.0001 to about 0.001, about 0.0001 to about 0.05, about 0.0001 to about 0.01, about 0.0001 to about 0.2, about 0.005 to about 0.001, about 0.005 to about 0.05, about 0.005 to about 0.01, about 0.005 to about 0.2, about 0.001 to about 0.05, about 0.001 to about 0.01, about 0.001 to about 0.2, about 0.05 to about 0.01, about 0.05 to about 0.2, or about 0.01 to about 0.2. In some embodiments, the false discovery rate is about 0.000001, about 0.00005, about 0.00001, about 0.0005, about 0.0001, about 0.005, about 0.001, about 0.05, about 0.01, or about 0.2.


In some embodiments, the Weighted Gene Co-expression Network Analysis comprises calculating a topology matrix, clustering the data based on the topology matrix, and correlating module eigenvalues for traits on a linear scale by Pearson correlation, for nonparametric traits by Spearman correlation, and for dichotomous traits by point-biserial correlation or t-test. The Pearson correlation or the Product Moment Correlation Coefficient (PMCC), is a number between −1 and 1 that indicates the extent to which two variables are linearly related. The Spearman correlation is a nonparametric measure of rank correlation; statistical dependence between the rankings of two variables.


In some embodiments, the one or more records having a specific phenotype correspond to one or more subjects, and the method further comprises identifying the one or more subjects as (i) having a diagnosis of a disease state or condition, (ii) having a prognosis of a disease state or condition, (iii) being suitable or not suitable for enrollment in a clinical trial for a disease state or condition, (iv) being suitable or not suitable for being administered a therapeutic regimen configured to treat a disease state or condition, (v) having an efficacy or not having an efficacy of a therapeutic regimen configured to treat a disease state or condition, based at least in part on the specific phenotype corresponding to the one or more subjects.


In another aspect, the present disclosure provides a non-transitory computer-readable storage media encoded with a computer program including instructions executable by a processor to create an application for identifying one or more records having a specific phenotype, the application comprising: a first receiving module receiving a plurality of first records, wherein each first record is associated with one or more of a plurality of phenotypes; a second receiving module receiving a plurality of second records, wherein each second record is associated with one or more of the plurality of phenotypes, and wherein the plurality of second records and the plurality of first records are non-overlapping; a machine learning module applying a machine learning algorithm to at least one first record and at least one second record to determine a classifier; a third receiving module receiving a plurality of third records, wherein the third records are distinct from the plurality of first records and the plurality of second records; and a classifying module applying the classifier to the plurality of third records to identify one or more third records associated with the specific phenotype.


In some embodiments, the first records and the second records comprise nucleic acid sequencing data, transcriptome data, genome data, epigenome data, proteome data, metabolome data, virome data, metabolome data, methylome data, lipidomic data, lineage-ome data, nucleosomal occupancy data, a genetic variant, a gene fusion, an insertion or deletion (indel), or any combination thereof. In some embodiments, the first records and the second records are in different formats. In some embodiments, the first records and the second records are from different sources, different studies, or both. In some embodiments, the phenotype comprises a disease state, an organ involvement, a medication response, or any combination thereof. In some embodiments, the classifier comprises an elastic generalized linear model classifier, a k-nearest neighbors classifier, a random forest classifier, or any combination thereof. In some embodiments, the elastic generalized linear model classifier employs an elastic penalty of about 0.9. In some embodiments, the k-nearest neighbors classifier employs a K-value of about 5% of the size of the plurality of distinct first data sets. In some embodiments, the K-value of the random forest classifier is incremented by 1 if the k-value is an even number. In some embodiments, applying a machine learning algorithm to the third data set comprises applying a machine learning algorithm to a plurality of unique third data sets. In some embodiments, said classifier identifies said one or more third records associated with the specific phenotype with an accuracy of at least about 70%. In some embodiments, the method further comprises filtering the first records, the second records, or both. In some embodiments, the filtering comprises removing outliers, removing background noise, removing data without annotation data, normalizing, scaling, variance correcting, Weighted Gene Co-expression Network Analysis, enrichment analysis, dimensionality reduction, or any combination thereof. In some embodiments, the normalizing is performed by Robust Multi-Array Analysis (RMA), Guanine Cytosine Robust Multi-Array Analysis (GCRMA), Linear Models for Microarray Data, variance stabilizing transformation (VST), normal-exponential quantile correction (NEQC), or any combination thereof. In some embodiments, the variance correction comprises employing a local empirical Bayesian shrinkage, adjusting the p-values for multiple hypothesis testing using the Benjamini-Hochberg correction, and removing all data with a false discovery rate of less than 0.2. In some embodiments, the Weighted Gene Co-expression Network Analysis comprises calculating a topology matrix, clustering the data based on the topology matrix, and correlating module eigenvalues for traits on a linear scale by Pearson correlation, for nonparametric traits by Spearman correlation, and for dichotomous traits by point-biserial correlation or t-test.


In another aspect, the present disclosure provides a method for identifying a disease state or a susceptibility thereof of a subject, comprising: (a) using an assay to process a biological sample derived from the subject to generate a quantitative measure of each of a plurality of disease-associated genomic loci; (b) processing the dataset to identify the disease state or the susceptibility thereof of the subject; and (c) electronically outputting a report indicative of the disease state or the susceptibility thereof of the subject.


In some embodiments, the plurality of quantitative measures comprises gene expression measurements. In some embodiments, the disease state comprises an active COVID-19 condition or an inactive COVID-19 condition.


In another aspect, the present disclosure provides a computer-implemented method for assessing a disease state or condition of a subject, comprising: (a) receiving a dataset of a biological sample of the subject; (b) selecting one or more data analysis tools, wherein the one or more data analysis tools comprise an analysis tool selected from the group consisting of: a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, a Gene Set Variation Analysis (GSVA) tool (e.g., P-Scope), and a combination thereof; (c) processing the dataset using the one or more data analysis tools to generate a data signature of the biological sample of the subject; and (d) based at least in part on the data signature generated in (c), assessing the disease state or condition of the subject.


In some embodiments, the dataset comprises gene expression measurements. In some embodiments, the disease state comprises an active COVID-19 condition or an inactive COVID-19 condition.


In some embodiments, the dataset comprises mRNA gene expression or transcriptome data, DNA genomic data, proteomic data, metabolomic data, or a combination thereof. In some embodiments, the biological sample is selected from the group consisting of: a whole blood (WB) sample, a PBMC sample, a tissue sample, and a cell sample. In some embodiments, assessing the condition of the subject comprises identifying a disease or disorder of the subject.


In some embodiments, the method further comprises identifying a disease or disorder of the subject at a sensitivity or specificity of at least about 70%. In some embodiments, the method further comprises determining a likelihood of the identification of the disease or disorder of the subject. In some embodiments, the method further comprises providing a therapeutic intervention for the disease or disorder of the subject. In some embodiments, the method further comprises monitoring the disease or disorder of the subject, wherein the monitoring comprises assessing the disease or disorder of the subject at a plurality of time points, wherein the assessing is based at least on the disease or disorder identified at each of the plurality of time points.


In some embodiments, selecting the one or more data analysis tools comprises receiving a user selection of the one or more data analysis tools. In some embodiments, selecting the one or more data analysis tools is automatically performed by the computer without receiving a user selection of the one or more data analysis tools.


In another aspect, the present disclosure provides a computer system for assessing a disease state or condition of a subject, comprising: a database that is configured to store a dataset of a biological sample of the subject; and one or more computer processors operatively coupled to the database, wherein the one or more computer processors are individually or collectively programmed to: (i) select one or more data analysis tools, wherein the one or more data analysis tools comprise an analysis tool selected from the group consisting of: a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, a Gene Set Variation Analysis (GSVA) tool (e.g., P-Scope), and a combination thereof; (ii) process the dataset using the one or more data analysis tools to generate a data signature of the biological sample of the subject; and (iii) based at least in part on the data signature generated in (ii), assess the disease state or condition of the subject.


In some embodiments, the dataset comprises gene expression measurements. In some embodiments, the disease state comprises an active COVID-19 condition or an inactive COVID-19 condition.


In another aspect, the present disclosure provides a non-transitory computer-readable medium comprising machine-executable code that, upon execution by one or more computer processors, implements a method for assessing a disease state or condition of a subject, the method comprising: (a) receiving a dataset of a biological sample of the subject; (b) selecting one or more data analysis tools, wherein the one or more data analysis tools comprise an analysis tool selected from the group consisting of: a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, a Gene Set Variation Analysis (GSVA) tool (e.g., P-Scope), and a combination thereof (c) processing the dataset using the one or more data analysis tools to generate a data signature of the biological sample of the subject; and (d) based at least in part on the data signature generated in (c), assessing the disease state or condition of the subject.


In some embodiments, the dataset comprises gene expression measurements. In some embodiments, the disease state comprises an active COVID-19 condition or an inactive COVID-19 condition.


In any embodiment described herein, the one or more data analysis tools can be a plurality of data analysis tools each independently selected from a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, a Gene Set Variation Analysis (GSVA) tool (e.g., P-Scope), and a combination thereof.


In another aspect, the present disclosure provides a method for determining a COVID-19 disease state of a subject, comprising: (a) assaying a biological sample obtained or derived from the subject to produce a data set comprising gene expression measurements of the biological sample at each of a plurality of COVID-19 disease-associated genomic loci, wherein the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of a gene selected from the group of genes listed in Table 6 and Tables 7A-7C; (b) computer processing the data set to determine the COVID-19 disease state of the subject; and (c) electronically outputting a report indicative of the COVID-19 disease state of the subject.


In some embodiments, the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 105, 110, 115, 120, 125, 130, 135, 140, 145, 150, 155, 160, 165, 170, 175, 180, 185, 190, 195, 200, 205, 210, 215, 220, 225, 230, 235, 240, 245, 250, 255, 260, 265, 270, 275, 280, 285, 290, 295, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800, 850, 900, 950, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 2700, 2800, 2900, 3000, 3100, 3200, 3300, 3400, 3500, 3600, 3700, 3800, 3900, 4000, 4100, 4200, 4300, 4400, 4500, 4600, 4700, 4800, 4900, 5000, 5100, 5200, 5300, 5400, 5500, 5600, 5700, 5800, 5900, or 6000 genes selected from the group of genes listed in Table 6 and Tables 7A-7C.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with an accuracy of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with a sensitivity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with a specificity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with a positive predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with a negative predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with an Area-Under-Curve (AUC) of at least about 0.50, at least about 0.55, at least about 0.60, at least about 0.65, at least about 0.70, at least about 0.75, at least about 0.80, at least about 0.85, at least about 0.90, at least about 0.91, at least about 0.92, at least about 0.93, at least about 0.94, at least about 0.95, at least about 0.96, at least about 0.97, at least about 0.98, at least about 0.99, or more than about 0.99.


In some embodiments, the subject has received a diagnosis of the COVID-19 disease. In some embodiments, the subject is suspected of having the COVID-19 disease. In some embodiments, the subject is at elevated risk of having the COVID-19 disease or having severe complications from the COVID-19 disease. In some embodiments, the subject is asymptomatic for the COVID-19 disease. In some embodiments, the method further comprises administering a treatment to the subject based at least in part on the determined COVID-19 disease state. In some embodiments, the treatment is configured to treat the COVID-19 disease state of the subject. In some embodiments, the treatment is configured to reduce a severity of the COVID-19 disease state of the subject. In some embodiments, the treatment is configured to reduce a risk of having the COVID-19 disease. In some embodiments, the treatment comprises a drug. In some embodiments, the drug is selected from the group listed in Tables 8A-8B.


In some embodiments, (b) comprises using a trained machine learning classifier to analyze the data set to determine the COVID-19 disease state of the subject. In some embodiments, the trained machine learning classifier is trained using gene expression data obtained by a data analysis tool selected from the group consisting of: a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, and a Gene Set Variation Analysis (GSVA) tool. In some embodiments, the trained machine learning classifier is selected from the group consisting of a linear regression, a logistic regression, a Ridge regression, a Lasso regression, an elastic net (EN) regression, a support vector machine (SVM), a gradient boosted machine (GBM), a k nearest neighbors (kNN), a generalized linear model (GLM), a naïve Bayes (NB) classifier, a neural network, a Random Forest (RF), a deep learning algorithm, and a combination thereof.


In some embodiments, (b) comprises comparing the data set to a reference data set. In some embodiments, the reference data set comprises gene expression measurements of reference biological samples at each of the plurality of COVID-19 disease-associated genomic loci. In some embodiments, the reference biological samples comprise a first plurality of biological samples obtained or derived from subjects having the COVID-19 disease and a second plurality of biological samples obtained or derived from subjects not having the COVID-19 disease.


In some embodiments, the biological sample is selected from the group consisting of: a blood sample, isolated peripheral blood mononuclear cells (PBMCs), a biopsy sample, and any derivative thereof.


In some embodiments, the method further comprises determining a likelihood of the determined COVID-19 disease state.


In some embodiments, the method further comprises monitoring the COVID-19 disease state of the subject, wherein the monitoring comprises assessing the COVID-19 disease state of the subject at a plurality of time points.


In some embodiments, a difference in the assessment of the COVID-19 disease state of the subject among the plurality of time points is indicative of one or more clinical indications selected from the group consisting of: (i) a diagnosis of the COVID-19 disease state of the subject, (ii) a prognosis of the COVID-19 disease state of the subject, and (iii) an efficacy or non-efficacy of a course of treatment for treating the COVID-19 disease state of the subject.


In another aspect, the present disclosure provides a computer system for determining a COVID-19 disease state of a subject, comprising: a database that is configured to store a dataset comprising gene expression data, wherein the gene expression data is obtained by assaying a biological sample obtained or derived from the subject to produce gene expression measurements of the biological sample at each of a plurality of COVID-19 disease-associated genomic loci, wherein the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of a gene selected from the group of genes listed in Table 6 and Tables 7A-7C; and one or more computer processors operatively coupled to the database, wherein the one or more computer processors are individually or collectively programmed to: (i) computer process the data set to determine the COVID-19 disease state of the subject; (ii) electronically output a report indicative of the COVID-19 disease state of the subject.


In some embodiments, the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 105, 110, 115, 120, 125, 130, 135, 140, 145, 150, 155, 160, 165, 170, 175, 180, 185, 190, 195, 200, 205, 210, 215, 220, 225, 230, 235, 240, 245, 250, 255, 260, 265, 270, 275, 280, 285, 290, 295, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800, 850, 900, 950, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 2700, 2800, 2900, 3000, 3100, 3200, 3300, 3400, 3500, 3600, 3700, 3800, 3900, 4000, 4100, 4200, 4300, 4400, 4500, 4600, 4700, 4800, 4900, 5000, 5100, 5200, 5300, 5400, 5500, 5600, 5700, 5800, 5900, or 6000 genes selected from the group of genes listed in Table 6 and Tables 7A-7C.


In some embodiments, the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with an accuracy of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with a sensitivity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with a specificity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with a positive predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with a negative predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with an Area-Under-Curve (AUC) of at least about 0.50, at least about 0.55, at least about 0.60, at least about 0.65, at least about 0.70, at least about 0.75, at least about 0.80, at least about 0.85, at least about 0.90, at least about 0.91, at least about 0.92, at least about 0.93, at least about 0.94, at least about 0.95, at least about 0.96, at least about 0.97, at least about 0.98, at least about 0.99, or more than about 0.99.


In some embodiments, the subject has received a diagnosis of the COVID-19 disease. In some embodiments, the subject is suspected of having the COVID-19 disease. In some embodiments, the subject is at elevated risk of having the COVID-19 disease or having severe complications from the COVID-19 disease. In some embodiments, the subject is asymptomatic for the COVID-19 disease. In some embodiments, the one or more computer processors are individually or collectively programmed to further direct a treatment to be administered to the subject based at least in part on the determined COVID-19 disease state. In some embodiments, the treatment is configured to treat the COVID-19 disease state of the subject. In some embodiments, the treatment is configured to reduce a severity of the COVID-19 disease state of the subject. In some embodiments, the treatment is configured to reduce a risk of having the COVID-19 disease. In some embodiments, the treatment comprises a drug. In some embodiments, the drug is selected from the group listed in Tables 8A-8B.


In some embodiments, (i) comprises using a trained machine learning classifier to analyze the data set to determine the COVID-19 disease state of the subject. In some embodiments, the trained machine learning classifier is trained using gene expression data obtained by a data analysis tool selected from the group consisting of: a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, and a Gene Set Variation Analysis (GSVA) tool. In some embodiments, the trained machine learning classifier is selected from the group consisting of a linear regression, a logistic regression, a Ridge regression, a Lasso regression, an elastic net (EN) regression, a support vector machine (SVM), a gradient boosted machine (GBM), a k nearest neighbors (kNN), a generalized linear model (GLM), a naïve Bayes (NB) classifier, a neural network, a Random Forest (RF), a deep learning algorithm, and a combination thereof.


In some embodiments, (i) comprises comparing the data set to a reference data set. In some embodiments, the reference data set comprises gene expression measurements of reference biological samples at each of the plurality of COVID-19 disease-associated genomic loci. In some embodiments, the reference biological samples comprise a first plurality of biological samples obtained or derived from subjects having the COVID-19 disease and a second plurality of biological samples obtained or derived from subjects not having the COVID-19 disease.


In some embodiments, the biological sample is selected from the group consisting of: a blood sample, isolated peripheral blood mononuclear cells (PBMCs), a biopsy sample, and any derivative thereof.


In some embodiments, the one or more computer processors are individually or collectively programmed to further determine a likelihood of the determined COVID-19 disease state.


In some embodiments, the one or more computer processors are individually or collectively programmed to further monitor the COVID-19 disease state of the subject, wherein the monitoring comprises assessing the COVID-19 disease state of the subject at a plurality of time points.


In some embodiments, a difference in the assessment of the COVID-19 disease state of the subject among the plurality of time points is indicative of one or more clinical indications selected from the group consisting of: (i) a diagnosis of the COVID-19 disease state of the subject, (ii) a prognosis of the COVID-19 disease state of the subject, and (iii) an efficacy or non-efficacy of a course of treatment for treating the COVID-19 disease state of the subject.


In another aspect, the present disclosure provides a non-transitory computer readable medium comprising machine-executable code that, upon execution by one or more computer processors, implements a method for determining a COVID-19 disease state of a subject, the method comprising: (a) assaying a biological sample obtained or derived from the subject to produce a data set comprising gene expression measurements of the biological sample at each of a plurality of COVID-19 disease-associated genomic loci, wherein the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of a gene selected from the group of genes listed in Table 6 and Tables 7A-7C; (b) computer processing the data set to determine the COVID-19 disease state of the subject; and (c) electronically outputting a report indicative of the COVID-19 disease state of the subject.


In some embodiments, the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 105, 110, 115, 120, 125, 130, 135, 140, 145, 150, 155, 160, 165, 170, 175, 180, 185, 190, 195, 200, 205, 210, 215, 220, 225, 230, 235, 240, 245, 250, 255, 260, 265, 270, 275, 280, 285, 290, 295, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800, 850, 900, 950, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 2700, 2800, 2900, 3000, 3100, 3200, 3300, 3400, 3500, 3600, 3700, 3800, 3900, 4000, 4100, 4200, 4300, 4400, 4500, 4600, 4700, 4800, 4900, 5000, 5100, 5200, 5300, 5400, 5500, 5600, 5700, 5800, 5900, or 6000 genes selected from the group of genes listed in Table 6 and Tables 7A-7C.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with an accuracy of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with a sensitivity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with a specificity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with a positive predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with a negative predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.


In some embodiments, the method further comprises determining the COVID-19 disease state of the subject with an Area-Under-Curve (AUC) of at least about 0.50, at least about 0.55, at least about 0.60, at least about 0.65, at least about 0.70, at least about 0.75, at least about 0.80, at least about 0.85, at least about 0.90, at least about 0.91, at least about 0.92, at least about 0.93, at least about 0.94, at least about 0.95, at least about 0.96, at least about 0.97, at least about 0.98, at least about 0.99, or more than about 0.99.


In some embodiments, the subject has received a diagnosis of the COVID-19 disease. In some embodiments, the subject is suspected of having the COVID-19 disease. In some embodiments, the subject is at elevated risk of having the COVID-19 disease or having severe complications from the COVID-19 disease. In some embodiments, the subject is asymptomatic for the COVID-19 disease. In some embodiments, the method further comprises administering a treatment to the subject based at least in part on the determined COVID-19 disease state. In some embodiments, the treatment is configured to treat the COVID-19 disease state of the subject. In some embodiments, the treatment is configured to reduce a severity of the COVID-19 disease state of the subject. In some embodiments, the treatment is configured to reduce a risk of having the COVID-19 disease. In some embodiments, the treatment comprises a drug. In some embodiments, the drug is selected from the group listed in Tables 8A-8B.


In some embodiments, (b) comprises using a trained machine learning classifier to analyze the data set to determine the COVID-19 disease state of the subject. In some embodiments, the trained machine learning classifier is trained using gene expression data obtained by a data analysis tool selected from the group consisting of: a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, and a Gene Set Variation Analysis (GSVA) tool. In some embodiments, the trained machine learning classifier is selected from the group consisting of a linear regression, a logistic regression, a Ridge regression, a Lasso regression, an elastic net (EN) regression, a support vector machine (SVM), a gradient boosted machine (GBM), a k nearest neighbors (kNN), a generalized linear model (GLM), a naïve Bayes (NB) classifier, a neural network, a Random Forest (RF), a deep learning algorithm, and a combination thereof.


In some embodiments, (b) comprises comparing the data set to a reference data set. In some embodiments, the reference data set comprises gene expression measurements of reference biological samples at each of the plurality of COVID-19 disease-associated genomic loci. In some embodiments, the reference biological samples comprise a first plurality of biological samples obtained or derived from subjects having the COVID-19 disease and a second plurality of biological samples obtained or derived from subjects not having the COVID-19 disease.


In some embodiments, the biological sample is selected from the group consisting of: a blood sample, isolated peripheral blood mononuclear cells (PBMCs), a biopsy sample, and any derivative thereof.


In some embodiments, the method further comprises determining a likelihood of the determined COVID-19 disease state.


In some embodiments, the method further comprises monitoring the COVID-19 disease state of the subject, wherein the monitoring comprises assessing the COVID-19 disease state of the subject at a plurality of time points.


In some embodiments, a difference in the assessment of the COVID-19 disease state of the subject among the plurality of time points is indicative of one or more clinical indications selected from the group consisting of: (i) a diagnosis of the COVID-19 disease state of the subject, (ii) a prognosis of the COVID-19 disease state of the subject, and (iii) an efficacy or non-efficacy of a course of treatment for treating the COVID-19 disease state of the subject.


Another aspect of the present disclosure provides a non-transitory computer-readable medium comprising machine executable code that, upon execution by one or more computer processors, implements any of the methods above or elsewhere herein.


Another aspect of the present disclosure provides a system comprising one or more computer processors and computer memory coupled thereto. The computer memory comprises machine executable code that, upon execution by the one or more computer processors, implements any of the methods above or elsewhere herein.


Additional aspects and advantages of the present disclosure will become readily apparent to those skilled in this art from the following detailed description, wherein only illustrative embodiments of the present disclosure are shown and described. As will be realized, the present disclosure is capable of other and different embodiments, and its several details are capable of modifications in various obvious respects, all without departing from the disclosure. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not as restrictive.





BRIEF DESCRIPTION OF THE DRAWINGS

The patent application file contains at least one drawing executed in color. Copies of this patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.


The novel features of the disclosure are set forth with particularity in the appended claims. A better understanding of the features and advantages of the present disclosure will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the disclosure are utilized, and the accompanying drawings of which:



FIG. 1A shows transcriptional changes in the progression of the pathologic response to SARS-CoV2 traced through three compartments (blood, lung, and airway) from activation and mobilization of immune cells in the blood, to infiltration into the lung tissue and airway of infected patients.



FIGS. 1B-1D show differences in inflammatory pathways and immune cell types enriched in COVID-19 patients as compared to healthy controls as well those that were differentially enriched between the blood, lung, and airway compartments, including increased inflammatory pathway signatures (FIG. 1B), decreased lymphoid cell signatures (FIG. 1C), and increased myeloid cell signatures (FIG. 1D) in COVID-19 patients.



FIGS. 2A-2F show differential expression of specific genes of interest (FIGS. 2A-2B); GSVA enrichment of non-hematopoietic cell type gene signatures including fibroblasts, Type I and Type II alveolar cells, ciliated lung cells, club cells, and a general lung tissue cell signature (FIGS. 2C-2E); and increased expression of the viral entry genes ACE2 and TMPRSS2, which are typically expressed on lung epithelium (ref), in the airway of SARS-CoV2-infected patients (FIG. 2F).



FIGS. 3A-3F show that PBMC cluster 8 was dominated by an inflammatory monocyte population defined by C2, C5, CXCL10, CCR2 and multiple interferon-stimulated genes, whereas cluster 3 contained hallmarks of alternatively activated (M2) macrophages and/or myeloid-derived suppressor cells (MDSCs), including CD33, CD36, CD93 and ITGAM (FIG. 3A; similar to the blood, lung-derived monocyte/myeloid genes segregated into clusters associated with common myeloid-lineage cell functions, such as chemotaxis and pattern recognition, as well as multiple subpopulations (FIG. 3E);



FIGS. 4A-4D show GSVA evaluation of both monocyte cell surface and monocyte secreted gene expression confirmed heterogeneous cell surface markers in the BAL, and increased chemokine secretion in the lung (FIG. 4A); Each cluster was evaluated in its respective tissue sample and control by GSVA (FIG. 4B); comparison of the co-expressed genes between each tissue myeloid population shows that many of the increased genes in each tissue are shared (FIG. 4C); and significant overlap, as determined by Fisher's Exact Test, in many populations (FIG. 4D).



FIGS. 5A-5E show myeloid cell population in the PBMCs was found to be highly glycolytic, whereas there was no significant change to metabolism detected in the lung, and the population in the BAL was reliant on OXPHOS (FIG. 5A); although myeloid cell signatures were associated with the NLRP3 inflammasome in the PBMCs and lungs, this association was not found in the BAL (FIG. 5B); the classical complement cascade was significantly correlated with the increased myeloid cells in both PBMCs and BAL, whereas the alternative complement cascade was significantly correlated with the myeloid cells in the lung (FIG. 5C); the myeloid cells in the PBMCs were also significantly correlated with the cell cycle, but this may be more evident of plasma cells in the blood (FIG. 5D); additionally, the lung and BAL myeloid populations were negatively correlated with apoptosis (FIG. 5E).



FIGS. 6A-6B show results from pathway analysis on DEGs from each of the peripheral blood, lung, and airway compartments using IPA canonical signaling pathway and upstream regulator analysis functions, including that interferon signaling, the inflammasome, and other components of antiviral, innate immunity were reflected by the disease state gene expression profile compared to healthy controls (FIG. 6A); and that upstream regulators predicted to mediate responses to the virus in each compartment indicated uniform involvement of proinflammatory cytokines with type I interferon regulation dominant in the diseased lung (FIG. 6B).



FIG. 7 shows that by comparing DE results from multiple compartments (the blood, lung, and airway) in COVID-19 patients, we have developed a model of the systemic pathogenic response to SARS-CoV2 infection.



FIGS. 8A-8C show previously defined gene modules characterizing immune and inflammatory cells and processes.



FIGS. 9A-9B show increased expression of Type I interferon genes (IFNA4, IFNA6, IFNA10) and significant enrichment of the Type I and Type II IGS specifically in the lung tissue, but not in the blood or airway of COVID-19 patients.



FIGS. 10A-10C show GSVA enrichment of non-hematopoietic cell type gene signatures including fibroblasts, Type I and Type II alveolar cells, ciliated lung cells, club cells, and a general lung tissue cell signature.



FIGS. 11A-11D show that peripheral blood exhibited profoundly suppressed T cells determined by the downregulation of T cell activation markers CD28, LCK and ITK (FIG. 11A); metabolic function in the lung was varied, however, upregulated genes segregated with glycolysis, potentially reflecting cellular activation (cluster 18), whereas OXPHOS was predominantly downregulated along with other nuclear processes (transcription and mRNA processing) (FIG. 11B); similar to the PBMC compartment, T cells were decreased in the airway (FIGS. 11A and 11C); non-hematopoietic cell signatures in the BAL were similar in content to those derived from in vitro COVID19-infected lung epithelium primary cell lines (NHBE) REF (FIG. 11D);



FIGS. 12A-12F show upregulation of FCN1 (cluster 15), SELL (cluster 14) and S100A8/A9 (cluster 4) which comprise an inflammatory monocyte signature (G1 population) derived from the BAL fluid of COVID patients recently described by Liao et al. (FIG. 12A); the G1 and G2 population genes, characterized by predominately interferon-stimulated genes, were increased in the lung (FIG. 12B); conversely, the “novel intermediate macrophage” population (G2) characterized by inflammatory mediators and chemokines such as CCL2, CCL3 and CCL4, was increased in the BAL, but not the PBMCs (FIG. 12C); additionally, per patient analyses confirmed the presence of the “pro-fibrotic, SPP1+” macrophage (G3) and “lung alveolar macrophage” populations (G4) in the BAL, although there also may be some evidence of these populations in the lung (FIGS. 12D-12E); evidence of recently described alveolar macrophages (AMs; G4 population) specifically in the airway (Liao et al., 2020), although these markers were distributed among multiple clusters, including FABP4 and PPARG in cluster 17, SPP1 and MRC1 in cluster 10, and MARCO and TFRC in clusters 34 and 7, respectively (FIG. 12E); and comparison of this population with additional previously defined myeloid populations demonstrated significant overlap with IFN-activated macrophages, CX3CR1+ lining macrophages (arthritis model) and an alveolar macrophage phenotype (FIG. 12F).



FIGS. 13A-13C show that DE interrogation of all possible myeloid cell-specific genes demonstrated further heterogeneity in expression of markers, such as CD14, CD300C, and OSCAR between compartments.



FIG. 14 shows that for each gene, a Pearson correlation coefficient was calculated with every other myeloid cell gene for both the samples and controls in each tissue compartment; and the resultant correlation coefficient matrices were then hierarchically clustered into two clusters based upon co-expression.



FIGS. 15A-15E show results from evaluating metabolism in each compartment using GSVA, including that the TCA cycle was significantly increased in PBMCs, whereas OXPHOS is significantly increased in the BAL (FIGS. 15C-15D), and that additionally, pro-cell cycle genes were increased in PBMCs and pro-apoptosis genes were decreased.



FIG. 16 shows a computer system 1601 that is programmed or otherwise configured to, for example, perform methods of the disclosure.



FIG. 17 shows conserved and differential enrichment of immune cells and pathways in blood, lung, and airway of SARS-CoV2-infected patients.



FIGS. 18A-18C show elevated IFN expression in the lung tissue of COVID-19 patients. FIG. 18A: Normalized log 2 fold change RNA-seq expression values for IFN-associated genes from blood, lung, and airway of individual COVID-19 patients. The dotted line represents the expression of each gene in healthy individuals (for blood and lung) or PBMCs from COVID-19 patients (airway). FIG. 18B: Individual sample gene expression from the blood, lung, and airway was analyzed by GSVA for enrichment of IFN-related gene signatures. FIG. 18C: Normalized log 2 fold change RNA-seq expression values for anti-viral genes as in (section a). Generated using GraphPad Prism v8.4.2 (www.graphpad.com). #p<0.2, ##p<0.1, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001



FIGS. 19A-19D show that viral entry gene expression correlates with enhanced expression of inflammatory mediators in SARS-CoV2-infected lungs. FIGS. 19A-19B: Normalized log 2 fold change RNA-seq expression values for chemokines and chemokine receptors (section a) and IL-1 family members (FIG. 19B) from blood, lung, and airway of COVID-19 patients as in FIG. 18A. FIG. 19C: Individual sample gene expression from the blood, lung, and airway was analyzed by GSVA for enrichment of various lung tissue cell categories. FIG. 19D: Normalized log 2 fold change RNA-seq expression values for viral entry genes as in FIGS. 19A-19B. Generated using GraphPad Prism v8.4.2 (www.graphpad.com). #p<0.2, ##p<0.1, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001



FIGS. 20A-20F show that PPI analysis identifies different myeloid cell subsets and metabolic pathways in blood, lung, and airway of COVID-19 patients.



FIGS. 21A-21F show that different co-expression-derived myeloid populations are found in blood, lung, and airway of COVID-19 patients.



FIG. 22 shows an analysis of biological activities of myeloid subpopulations.



FIGS. 23A-23B show a pathway analysis of SARS-CoV-2 blood, lung, and airway.



FIG. 24 shows a graphical model of COVID-19 pathogenesis.



FIGS. 25A-25D show that metaclusters identify differentially expressed cell populations and functional gene clusters in SARS-CoV2 infected tissues and cell lines.



FIGS. 26A-26F shows an evaluation of macrophage gene signatures in myeloid-derived clusters from COVID-affected blood, lung and BAL fluid.



FIG. 27 shows heterogeneous expression of monocyte/myeloid cell genes in different CoV2 tissue compartments as compared to control.



FIG. 28 shows an analysis of biological activities of myeloid subpopulations.



FIGS. 29A-29E show a pathway analysis of SARS-CoV-2 lung tissue. FIG. 29A: Remaining significant upstream regulators operative in SARS-CoV-2 lung tissue predicted by IPA upstream regulator analysis. Upstream regulator analysis was also conducted on DEGs from each individual COVID-19 lung compared to healthy controls due to observed heterogeneity. FIG. 29B: significant results displayed for Lung1-CoV2 vs. Lung-CTL. FIG. 29C: significant results displayed for Lung2-CoV2 vs. Lung-CTL. Chemical reagents, chemical toxicants, and non-mammalian endogenous chemicals were culled from results. The boxes with the dotted outline separate small molecules/drugs/compounds that were predicted as upstream regulators from pathway molecules and complexes. FIGS. 29D-29E: IPA canonical signaling pathway analysis was conducted on individual COVID-19 lung samples. Pathways and upstream regulators were considered significant by |Activation Z-Score|≥2 and overlap p-value <0.01.





DETAILED DESCRIPTION

Unless otherwise defined, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.


Certain Terms

As used herein, the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise. Any reference to “or” herein is intended to encompass “and/or” unless otherwise stated.


As used herein, the term “about” refers to an amount that is near the stated amount by 10%, 5%, or 1%, including increments therein.


As used herein, the phrases “at least one”, “one or more”, and “and/or” are open-ended expressions that are both conjunctive and disjunctive in operation. For example, each of the expressions “at least one of A, B and C”, “at least one of A, B, or C”, “one or more of A, B, and C”, “one or more of A, B, or C” and “A, B, and/or C” means A alone, B alone, C alone, A and B together, A and C together, B and C together, or A, B and C together.


As used herein, the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise. Any reference to “or” herein is intended to encompass “and/or” unless otherwise stated.


As used herein, the term “subject” refers to an entity or a medium that has testable or detectable genetic information. A subject can be a person, individual, or patient. A subject can be a vertebrate, such as, for example, a mammal. Non-limiting examples of mammals include humans, simians, farm animals, sport animals, rodents, and pets. The subject may be displaying a symptom(s) indicative of a health or physiological state or condition of the subject, such as a disease or disorder of the subject. As an alternative, the subject can be asymptomatic with respect to such health or physiological state or condition.


As used herein, the term “sample,” generally refers to a biological sample obtained from or derived from one or more subjects. Biological samples may be processed or fractionated before further analysis. Biological samples may include a whole blood (WB) sample, a PBMC sample, a tissue sample, a purified cell sample, or derivatives thereof. In some embodiments, a whole blood sample may be purified to obtain the purified cell sample. The term “derived from” used herein refers to an origin or source, and may include naturally occurring, recombinant, unpurified or purified molecules.


To obtain a blood sample, various techniques may be used, e.g., a syringe or other vacuum suction device. A blood sample can be optionally pre-treated or processed prior to use. A sample, such as a blood sample, may be analyzed under any of the methods and systems herein within 4 weeks, 2 weeks, 1 week, 6 days, 5 days, 4 days, 3 days, 2 days, 1 day, 12 hr, 6 hr, 3 hr, 2 hr, or 1 hr from the time the sample is obtained, or longer if frozen. When obtaining a sample from a subject (e.g., blood sample), the amount can vary depending upon subject size and the condition being screened. In some embodiments, at least 10 mL, 5 mL, 1 mL, 0.5 mL, 250, 200, 150, 100, 50, 40, 30, 20, 10, 9, 8, 7, 6, 5, 4, 3, 2, or 1 μL of a sample is obtained. In some embodiments, 1-50, 2-40, 3-30, or 4-20 μL of sample is obtained. In some embodiments, more than 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95 or 100 μL of a sample is obtained.


As used herein the term “diagnose” or “diagnosis” of a status or outcome includes predicting or diagnosing the status or outcome, determining predisposition to a status or outcome, monitoring treatment of patient, diagnosing a therapeutic response of a patient, and prognosis of status or outcome, progression, and response to particular treatment.


The sample may be taken before and/or after treatment of a subject with a disease or disorder. Samples may be obtained from a subject during a treatment or a treatment regime. Multiple samples may be obtained from a subject to monitor the effects of the treatment over time. The sample may be taken from a subject known or suspected of having a disease or disorder for which a definitive positive or negative diagnosis is not available via clinical tests. The sample may be taken from a subject suspected of having a disease or disorder. The sample may be taken from a subject experiencing unexplained symptoms, such as fatigue, nausea, weight loss, aches and pains, weakness, or bleeding. The sample may be taken from a subject having explained symptoms. The sample may be taken from a subject at risk of developing a disease or disorder due to factors such as familial history, age, hypertension or pre-hypertension, diabetes or pre-diabetes, overweight or obesity, environmental exposure, lifestyle risk factors (e.g., smoking, alcohol consumption, or drug use), or presence of other risk factors.


In some embodiments, a sample can be taken at a first time point and assayed, and then another sample can be taken at a subsequent time point and assayed. Such methods can be used, for example, for longitudinal monitoring purposes to track the development or progression of a disease. In some embodiments, the progression of a disease can be tracked before treatment, after treatment, or during the course of treatment, to determine the treatment's effectiveness. For example, a method as described herein can be performed on a subject prior to, and after, treatment with a disease state or condition therapy to measure the disease's progression or regression in response to the disease state or condition therapy.


After obtaining a sample from the subject, the sample may be processed to generate datasets indicative of a disease or disorder of the subject. For example, a presence, absence, or quantitative assessment of nucleic acid molecules of the sample at a panel of disease state or condition-associated or interferon-associated genomic loci or may be indicative of a disease state or condition of the subject. Processing the sample obtained from the subject may comprise (i) subjecting the sample to conditions that are sufficient to isolate, enrich, or extract a plurality of nucleic acid molecules, and (ii) assaying the plurality of nucleic acid molecules to generate the dataset (e.g., microarray data, nucleic acid sequences, or quantitative polymerase chain reaction (qPCR) data). Methods of assaying may include any assay known in the art or described in the literature, for example, a microarray assay, a sequencing assay (e.g., DNA sequencing, RNA sequencing, or RNA-Seq), or a quantitative polymerase chain reaction (qPCR) assay.


In some embodiments, a plurality of nucleic acid molecules is extracted from the sample and subjected to sequencing to generate a plurality of sequencing reads. The nucleic acid molecules may comprise ribonucleic acid (RNA) or deoxyribonucleic acid (DNA). The extraction method may extract all RNA or DNA molecules from a sample. Alternatively, the extraction method may selectively extract a portion of RNA or DNA molecules from a sample. Extracted RNA molecules from a sample may be converted to cDNA molecules by reverse transcription (RT).


The sample may be processed without any nucleic acid extraction. For example, the disease or disorder may be identified or monitored in the subject by using probes configured to selectively enrich nucleic acid (e.g., RNA or DNA) molecules corresponding to a panel of disease state or condition-associated or interferon-associated genomic loci. The probes may be nucleic acid primers. The probes may have sequence complementarity with nucleic acid sequences from one or more of the panel of disease state or condition-associated or interferon-associated genomic loci. The panel of disease state or condition-associated or interferon-associated genomic loci may comprise at least 2, at least 3, at least 4, at least 5, at least 6, at least 7, at least 8, at least 9, at least 10, at least 11, at least 12, at least 13, at least 14, at least 15, at least 16, at least 17, at least 18, at least 19, at least 20, at least about 25, at least about 30, at least about 35, at least about 40, at least about 45, at least about 50, at least about 55, at least about 60, at least about 65, at least about 70, at least about 75, at least about 80, at least about 85, at least about 90, at least about 95, at least about 100, or more disease state or condition-associated or interferon-associated genomic loci.


The probes may be nucleic acid molecules (e.g., RNA or DNA) having sequence complementarity with nucleic acid sequences (e.g., RNA or DNA) of one or more genomic loci (e.g., disease state or condition-associated or interferon-associated genomic loci). These nucleic acid molecules may be primers or enrichment sequences. The assaying of the sample using probes that are selective for the one or more genomic loci (e.g., disease state or condition-associated or interferon-associated genomic loci) may comprise use of array hybridization, polymerase chain reaction (PCR), or nucleic acid sequencing (e.g., RNA sequencing or DNA sequencing, such as RNA-Seq).


The assay readouts may be quantified at one or more genomic loci (e.g., disease state or condition-associated or interferon-associated genomic loci) to generate the data indicative of the disease or disorder. For example, quantification of array hybridization or polymerase chain reaction (PCR) corresponding to a plurality of genomic loci (e.g., disease state or condition-associated or interferon-associated genomic loci) may generate data indicative of the disease or disorder. Assay readouts may comprise quantitative PCR (qPCR) values, digital PCR (dPCR) values, digital droplet PCR (ddPCR) values, fluorescence values, etc., or normalized values thereof.


Big Data Analysis Tools and Drug/Target Scoring Algorithms


The present disclosure provides systems and methods to perform data analysis using drug or target scoring algorithms and/or big data analysis tools. In various aspects, such drug or target scoring algorithms and/or big data analysis tools may be used to perform analysis of data sets including, for example, mRNA gene expression or transcriptome data, DNA genomic data, proteomic data, metabolomic data, other types of “-omic” data, or a combination thereof. Systems and methods of the present disclosure may use one or more of the following: a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, and a Gene Set Variation Analysis (GSVA) tool (e.g., P-Scope).


A method to assess a condition (e.g., COVID-19) of a subject may comprise using one or more data analysis tools and/or algorithms. The method may comprise receiving a dataset of a biological sample of a subject. Next, the method may comprise selecting one or more data analysis tools and/or algorithms. For example, the data analysis tools and/or algorithms may comprise a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, a Gene Set Variation Analysis (GSVA) tool (e.g., P-Scope), or a combination thereof. Next, the method may comprise processing the dataset using selected data analysis tools and/or algorithms to generate a data signature of the biological sample of the subject. Next, the method may comprise assessing the condition of the subject based on the data signature.


The BIG-C (Biologically Informed Gene Clustering) tool may be configured to sort large groups of genes into a set of functional groups (e.g., 53 functional groups). The functional groups are created utilizing publicly available information from online tools and databases including UniProtKB/Swiss-Prot, GO Terms, KEGG pathways, NCBI PubMed, and the Interactome. The functional groups may include one or more of: Active RNA, Anti-apoptosis, anti-proliferation, autophagy, chromatin remodeling, cytoplasm and biochemistry, cytoskeleton, DNA repair, endocytosis, endoplasmic reticulum, endosome and vesicles, fatty acid biosynthesis, cell surface, transcription, glycolysis and gluconeogenesis, golgi, immune cell surface, immune secreted, immune signaling, integrin pathway, interferon stimulated genes, intracellular signaling, lysosome, melanosome, MHC class I, MHC class II, microRNA processing, microRNA, mitochondrial transcription, mitochondria, mitochondria oxidative phosphorylation, mitochondrial TCA cycle, mRNA processing, mRNA splicing, non-coding RNA, nuclear receptor, nucleus and nucleolus, palmitoylation, pattern recognition receptors, peroxisomes, pro-apoptosis, pro-cell cycle, proteasome, pseudogenes, RAS superfamily, reactive oxygen species protection, secreted and extracellular matrix, transcription factors, transporters, transposon control, ubiquitylation and sumoylation, unfolded protein and stress, and unknown. Enrichment scores for each group are calculated based on an overlap p value to determine the functional groups over or under-expressed in the gene expression dataset. The BIG-C may be configured such that each gene is sorted into only one of the 53 functional groups, allowing for a quick and relatively simple understanding of types of genes enriched and co-expressed in a big dataset.


The I-Scope™ tool may be configured to identify immune infiltrates. Hematopoietic cells are unique in that they move throughout the body patrolling for threats to the host, and may infiltrate tissue sites not normally home to immune cells. I-Scope™ may be configured to identify hematopoietic cells through an iterative search of more than 17,000 genes identified in more than 50 microarray datasets. From this search, 1226 candidate genes are identified and researched for restriction in hematopoietic cells as determined by the HPA, GTEx and FANTOMS datasets (e.g., available at proteinatlas.org). 926 genes meet the criteria for being mainly restricted to hematopoietic lineages (brain, reproductive organ exclusions were permitted). These genes are researched for immune cell specific expression in 27 hematopoietic sub-categories: alpha beta T cell, T cell, regulatory T Cell, activated T cell, anergic T cell, gamma delta T cells, CD8 T, NK/NKT cell, NK cell, T & B cells, B cells, germinal center B cells, B cell and plasmacytoid dendritic cell, T &B & myeloid, B & myeloid, T & myeloid, MHC Class II expressing cell, monocyte, dendritic cell, plasmacytoid dendritic cells, myeloid cell, plasma cell, erythrocyte, neutrophil, low density granulocyte, granulocyte, and platelet. Transcripts are entered into I-Scope™ and the number of transcripts in each category determined. Odd's ratios are calculated with confidence intervals using the Fisher's exact test in R.


The T-Scope™ tool may be configured to help identify types of non-hematopoietic cells in gene expression datasets. T-Scope™ may be configured by downloading approximately 10,000 tissue enriched and 8,000 cell line enriched genes from the human protein atlas along with their tissue or cell line designation (e.g., available at proteinatlas.org). Genes found in more than four tissues are eliminated. Housekeeping genes described in the gene expression study by She et al. are also removed (e.g., as described by She et al., “Definition, conservation and epigenetics of housekeeping and tissue-enriched genes,” BMC Genomics 2009, 10:269, which is incorporated herein by reference in its entirety). This list is further curated by removing genes differentially expressed in 34 hematopoietic cell gene expression datasets and adding kidney specific genes from datasets downloaded from the GEO repository and processed by Ampel BioSolutions. The resulting categories of genes represent genes enriched in the following 42 tissue/cell specific categories: adrenal gland, breast, cartilage, cerebral cortex, uterine cervix, chondrocyte, colon, duodenum, endometrium, epididymis, esophagus fallopian tube, esophagus, fibroblast, heart muscle, keratinocyte, kidney, liver, lung, melanocyte, ovary pancreas, parathyroid gland, placenta, podocyte, prostrate, rectum, salivary gland, seminal vesicle, skeletal muscle, skin, small intestine, smooth muscle, stomach, synoviocyte, testis, kidney loop of henle, kidney proximal tubule, kidney distal tubule, and kidney collecting duct.


The CellScan tool may be a combination of I-Scope™ and T-Scope™, and may be configured to analyze tissues with suspected immune infiltrations that should also have tissue specific genes. CellScan may potentially be more stringent than either I-Scope™ or T-Scope™ because it may be used to distinguish resident tissue cells from non-resident hematopoietic cells.


The MS (Molecular Signature) Scoring tool may be configured to assess specific pathways in a disease state. Information on genes that encode for proteins that participate in a specific signaling pathway, and whether the gene product promotes or inhibits the pathway, are compiled and curated through literature mining. Curated pathways presented by the company include CD40-CD40ligand, IL-6, IL-12/23, TNF, IL-17, IL-21, S1P1, IL-13 and PDE4, but this method may be used for any known signaling pathway with available data. To determine if a signaling pathway is over or under-expressed in a microarray dataset, the gene list for each signaling pathway may be queried against the limma differentially expressed genes from a disease state compared to healthy controls, and the differentially expressed genes in the signaling pathway may be identified for each set. The fold changes for genes that promoted the pathway may be added together and the fold changes for genes that inhibited the pathway may be subtracted from the score. This total score may be normalized based on the number of genes that could be detected on the specific microarray platform used for the experiment. Activation scores of −100 to +100 may be determined using this method with negative scores indicating an inhibition of the specific pathway in the disease state and positive scores indicating an up-regulation of a specific pathway in the disease state. The Fischer's exact test may be performed to determine if there was sufficient overlap of genes between the experimental differentially expressed genes and the genes in the signaling pathway.


Gene Set Variation Analysis (GSVA) may be performed (for example, as described in Catalina et al. (2019, Communications Biology, “Gene expression analysis delineates the potential roles of multiple interferons in systemic lupus erythematosus”, which is incorporated herein by reference in its entirety) to determine enrichment of signaling pathways in individual patient samples. Gene set variation analysis may be performed using an open source software package for the coding language R available at the R Bioconductor (bioconductor.org), e.g., as described by Hanzelman et al., (“GSVA: gene set variation analysis for microarray and RNA-Seq data,” BMC Bioinformatics, 2013, which is incorporated herein by reference in its entirety). The modules of genes to interrogate the datasets may be developed. Modules of genes determined to represent a specific signaling pathway or process may be identified (e.g., using publicly available datasets). For example, the IFNB1 signaling pathway is taken from a publicly available gene expression dataset of peripheral blood cells treated with IFNB1 in vitro. Genes co-expressed in this dataset (genes either all increased or decreased compared to control treated peripheral blood) are used to create modules of genes representing the IFNB1 signaling pathway, and GSVA is used to determine the enrichment of this set of genes and hence the IFNB1 signaling pathway in individual patient and control samples.


BIG-C™ Big Data Analysis Tool


BIG-C® is a fast and efficient cloud-based tool to functionally categorize gene products. With coverage of over 80% of the genome, BIG-C® leverages publicly available databases such as UniProtKB/Swiss-Prot, GO terms, KEGG pathways, NCBI PubMed and Interactome to place genes into 53 functional categories. The sorting into only one of 53 functional groups allows for a quick and relatively simple understanding of types of genes enriched and co-expressed in a big dataset. This assists in deriving further insights from genes expressed for a given disease state in human or pre-clinical mouse models.


BIG-C® can be used to functionally categorize immunological genes that are not covered in cancer databases such as GO and KEGG (e.g., as described by Grammer et al. 2016, “Drug repositioning in SLE: crowd-sourcing, literature-mining and Big Data analysis,” Lupus, 25 (10), 1150-1170, which is incorporated herein by reference in its entirety). Using a knowledge base of over 5000 patients with systemic lupus erythematosus (SLE), over 16432 genes may be each placed into one of 53 BIG-C® functional categories, and statistical analysis may be performed to identify enriched categories. BIG-C® categories may be cross-examined with the GO and KEGG terms to obtain additional information and insights.


A sample BIG-C® workflow may comprise the following steps. First, SLE genomic datasets are derived from whole blood, peripheral blood mononuclear cells, affected tissues, and purified immune cells. Second, datasets are analyzed using DE analysis or Weighted Gene Coexpression Network Analysis (WGCNA). Third, expressed genes are annotated using publicly available databases (e.g., UniProtKB/Swiss-Prot database, Human Immunodeficiencies database, Mouse MGI database, Entrez Molecular Sequence database, PubMed, and the Human Tissue Atlas). Fourth, signatures are cross-referenced with purified single-cell microarray datasets and RNAseq experiments. Fifth, BIG-C® is leveraged to separate the individual annotated genes into one of 53 functional categories shown in Table 1 (e.g., as described by Labonte et al. 2018, “Identification of alterations in macrophage activation associated with disease activity in systemic lupus erythematosus,” PloS one, 13 (12), e0208132, which is incorporated herein by reference in its entirety). Sixth, chi-squared analysis is used to determine enriched categories of interest from overlap p-values. Seventh, enriched categories are cross-examined with GO and KEGG terms to derive key insights for further analysis.









TABLE 1







BIG-C Categories















Immune










Cell
General Cell
Immune
Intracellular
MHC Class
MHC Class
Secreted

Pat. Recog.


Surface
Surface
Signaling
Signaling
I
II
Immune
Secreted ECM
Receptors





Interferon
PRO-Cell
Anti-Cell
PRO
Anti
Unfold Prot.
Proteasome
Autophagy
Ubiquity lation


Gene Sig
Cycle
Cycle
Apoptosis
Apoptosis
Stress





General
Transcript.
Nuc
Chromatin
DNA
mRNA
mRNA
MicroRNA
Cytoskeleton


Transcript.
Factors
Horm.
Remodel
Repair
Translation
Splicing
Processing





Receptors








Integrin
RAS
WNT
Lysosome
Endocytosis
Endosome
Endoplas.
Oxidative
TCA Cycle


Pathway
Superfamily
Signaling


& Vesicles
Retic.
Phosphor.



Mito. DNA
Mito
FA
Transporters
Cytoplasm
Peroxisomes
ROS
Nuclear &
Active RNA


toRNA

Biosynth

Biochem

Protection
Nucleolus



MicroRNA
Melanosome
Unknown
Pseudogenes
Transposon
Golgi
Glycolysis
Palmitoylation







Control









I-Scope™ Big Data Analysis Tool


I-Scope™ may be a tool configured for cross-examining the presence and activity of varying types of immune cell infiltrates with observed gene expression patterns. It may take annotated gene expression data and analyze it for hematopoietic cell lineage. I-Scope™ can be used downstream of the BIG-C® (Biologically Informed Gene-Clustering) tool in that it helps to provide even more insight into the nature of the genes being expressed after categorization.


I-Scope™ addresses the need to understand the involvement of specific cells for a given disease state. While it is helpful to understand the relative up-regulation and down-regulation at the gene expression level, it is even more informative to understand specifically in which cells this is occurring. I-Scope™ may be configured to identify hematopoietic cells through an iterative search of more than 17,000 genes identified in more than 50 microarray datasets (e.g., as described by Hubbard et al., “Analysis of Lupus Synovitis Gene Expression Reveals Dysregulation of Pathogenic Pathways Activated within Infiltrating Immune Cells,” Arthritis Rheumatol, 2018; 70 (suppl 10), which is incorporated herein by reference in its entirety). I-Scope™ may function by restricting the analysis to genes of hematopoietic cell heritage and allow for cross-checking against purified single-cell experiments or datasets. The cross-check confirms and categorizes specific transcript signatures to the 28 hematopoietic cell sub-categories shown in Table 2, ultimately allowing for cellular activity analysis across multiple samples and disease states. When combined with BIG-C® categories, the cellular activity can be correlated to specific functions within a given cell type.









TABLE 2







I-Scope™ Cell Sub-Categories













Monos/
Plasma







Macs
Cells
T-Cells
B-Cells
Dendritic
T&B Cells
CD8 T





Myeloid
Tact
LDG
Hematopoietic
Neutrophil
Ag
Granulocytes


Cells




Presentation



Platelets
pDC
T, B, Mono
Langerhans
Bact
Mono and
Erythrocytes







B



Mast Cell
T reg
Gd T
T anergic
FDC
CD4T
T/NK/NKT








Cells









A sample I-Scope™ workflow may comprise the following steps. First, candidate genes are identified from datasets (associated with a disease state or condition) potentially associated with immune cell expression. Second, using HPA, GTEx, and FANTOMS datasets, expression signatures associated with hematopoietic cell lineage are identified. Third, signatures are cross-referenced with purified single-cell microarray datasets and RNAseq experiments. Fourth, transcripts are categorized into 28 hematopoietic cell sub-categories and assess cellular expression across different samples and disease states. Odd's ratios are calculated with confidence intervals using the Fisher's exact test in R. An I-Scope™ signature analysis for a given sample may lead to the I-Scope™ signature analysis across multiple samples and disease states.


T-Scope™ Big Data Analysis Tool


The T-Scope™ tool may be configured for cross-examining gene expression signatures of a given sample with a database of non-hematopoietic cell types (e.g., as described by Hubbard et al., “Analysis of Gene Expression from Systemic Lupus Erythematosus Synovium Reveals Unique Pathogenic Mechanisms [Abstract], Annual Meeting of the American College of Rheumatology; June 2019; Chicago, Ill., which is incorporated herein by reference in its entirety). T-Scope™ may comprise a database of 704 transcripts allocated to 45 independent categories. Transcripts detected in the sample are matched to one of the cellular categories within the T-Scope™ tool to derive further insights on tissue cell activity. T-Scope™ can be used downstream of the BIG-C® (Biologically Informed Gene-Clustering) tool to understand which tissue cell types are present. In conjunction with I-Scope™ (which provides information related to immune cells), T-Scope™ can be performed to provide a complete view of all possible cell activity in a given sample.


T-Scope™ addresses the need to understand the involvement of specific tissue cells for a given disease state. While it is helpful to understand the relative up-regulation and down-regulation at the gene expression level, it is even more informative to understand specifically in which cells this is occurring. T-Scope™ may be configured by downloading a set of approximately 10,000 tissue enriched and 8,000 cell line enriched genes from the Human Protein Atlas along with their tissue or cell line designation. Genes differentially expressed in hematopoietic cell datasets are removed and kidney specific genes are added from the GEO repository. T-Scope™ may function by restricting the analysis to genes of known tissue cell heritage and allow for cross-checking against purified single-cell experiments or datasets. The cross-check confirms and categorizes specific transcript signatures to the 45 tissue cell sub-categories (as shown in Table 3), ultimately allowing for cellular activity analysis across multiple samples and disease states. When combined with BIG-C® categories, the cellular activity can be correlated to specific functions within a given tissue cell type.









TABLE 3







T-Scope™ 45 Categories of Tissue Cells















Adipose
Adrenal


Cerebral
Cervix,





Tissue
Gland
Breast
Cartilage
Cortex
Uterine
Chondrocyte
Colon
Dendritic





Duodenum
Endometrium
Endothelial
Epididymis
Erythrocytes
Esophagus
Fallopian
Fibroblast
Gallbaldder








Tube




Heart Muscle
Keratinocyte
Keratinocyte
Kidney
Kidney
Kidney Loop
Kidney
Kidney
Kidney




Skin

Distal

Proximal
Tubule Duct
Tubule






Tubules

Tubules




Langherhans
Liver
Lung
Melanocyte
Podocyte
Prostate
Rectum
Salivary
Seminal









Gland
Vesicle


Skeletal
Skin
Small
Smooth
Stomach
Synoviocyte
Testis
Thyroid
Urinary


Muscle

Intenstine
Muscle



Gland
Bladder









A sample T-Scope™ workflow may comprise the following steps. First, candidate genes are identified from differential expression datasets (associated with a disease state or condition) potentially associated with tissue cell expression. Second, using publicly available databases, expression signatures associated with potential tissue cell activity are identified. Third, signatures are cross-referenced with microarray, scRNAseq or RNAseq experiments. Fourth, transcripts are categorized into 45 tissue cell sub-categories and cellular expression is assessed across different samples and disease states. Results may be obtained using T-Scope™ in combination with I-Scope™ for identification of cells post-DE-analysis.


Cell Scan Big Data Analysis Tool


A cloud-based genomic platform may be configured to provide users with access to CellScan™, which comprises a suite of tools for the identification, analysis, and prioritization of targets for drug development and/or repositioning. This platform is powered by a database containing the genomic information gathered from 5000+ autoimmune patients. The cloud-based genomic platform may leverage results from RNAseq and microarray experiments in conjunction with clinical information, such as medication and lab tests, to provide previously undiscovered insights.


CellScan™ may go beyond typical ‘omics analysis by performing one or more of the following: functionally categorizing genes and their products (e.g., using BIG-C®); deconvolving gene expression data to identify unique immunological cell types from blood or biopsy samples (e.g., using I-Scope™); identifying tissue specific cell from biopsy samples (e.g., using T-Scope™); identifying receptor-ligand interactions and subsequent signaling pathways (e.g., using MS-Scoring™); ranking genes and their products for targeting by drugs and miRNA mimetics; and prioritizing FDA-approved drugs and drugs-in-development for treatment in patients or pre-clinical models.


CellScan™ applications may include one or more of: Biomarker Discovery, Disease Mechanisms, Drug Mechanism of Action, Drug Mechanism of Toxicity, and Target Identification and Validation. Experimental approaches supported by CellScan™ may include one or more of: lncRNA, Metabolomics, MicroArray, miRNA, mRNA, qPCR, Proteomics, and RNAseq.


Data analysis and interpretation with CellScan™ may build on comprehensive, manually curated content of a knowledge base. Powerful, quick, and efficient tools may be used to perform deep analysis of NGS and miRNA data to identify gene function, immunological and tissue cell type, pathways, and target/drug appropriate for a specific disease state.


CellScan™ features may be configured to optimize or maximize the impact of information that surfaces in an analysis so that interpretation of a dataset is comprehensive and elucidates actionable insights. These features may include one or more of: NGS RNAseq data analysis, biomarker scoring, and prioritizing targets and drugs for human clinical trials and/or pre-clinical models. The NGS RNAseq data analysis may comprise interrogating RNA and miRNA data for function, cell-type (immunological or tissue) and pathways. The biomarker scoring may comprise using a knowledge base and gene expression data to assess and prioritize biomarkers associated with a target disease or phenotype. The target/drug prioritization may comprise leveraging objective scoring of targets and drugs based on parameters such as scientific rationale, evidence in mouse/human cells, prior clinical data, overall drug properties, and the risk of adverse events.


The knowledge base may be a repository created from millions of individual pieces of information gathered about genes, cells, tissues, drugs, and diseases, and manually reviewed for accuracy and includes rich contextual details and links to original publications. The knowledge base may enable access to relevant and substantiated knowledge from primary literature as well as public and private databases for comprehensive interpretation of NGS/RNAseq data elucidating function/pathways and prioritize targets/drugs for given disease states. Table 4 shows an example list of reference databases for the content in CellScan™, with both human and mouse species-specific identifiers supported.









TABLE 4





Reference Databases for Content in CellScan ™


















Affymetrix
Entrez Gene
HPA
scRNAseq


Agilent
FANTOM5
Illumina
STITCH


BrainArray
GenBank
Interactome
Mouse





Genome





Database





(MGD)


CAS Registry
Gene Symbol-human
KEGG
UCSC


Number
(Hugo/HGNC)

(hg 18)


Clinicaltrials.gov
Gene Symbol-mouse
LINCS/CLUE
UCSC



(Entrez Gene)

(hg 19)


CodeLink
GNF Tissue
Mosby's Drug
Unigene



Expression Body
Consult




Atlas




DrugBank
GO terms
NCBI PubMed
Uniprot/





Swiss-Prot





Accession


Drugs@FDA
Goodman & Gilman's
NCI-60 Cell Line




Pharmacological Basis
Expression Atlas




of Therapeutics




Ensembl
GTEx
Refseq









MS (Molecular Signature) Scoring™ Analysis Tool


MS-Scoring™ may be configured to identify receptor-ligand interactions and predict ongoing signaling pathways. In addition, MS-Scoring™ may be used to validate molecular pathways as potential targets for new or repurposed drug therapies. The specificity of next-generation drug therapies requires a way to understand the potential of a given therapy to act on the intended biochemical target. Moreover, a potential application of this is the repositioning of drug therapies that may have the correct biochemical targeting to address multiple clinical needs beyond the initial intended therapeutic value.


MS-Scoring™ may be specifically developed to address gaps in the QIAGEN IPA® (Ingenuity Pathway Analysis) tool that does not contain many immunologically relevant pathways. Similar to IPA®, MS-Scoring™ 1 may use log-fold change information to score the target and its signaling pathway to verify the viability of the targets. If the fold-change of the genes of a signaling pathway appears to be upregulated or inhibitors appear to be downregulated, MS-Scoring™ 1 may provide a score of +1. Conversely if the genes of a signaling pathway appear downregulated or the inhibitors upregulated, MS-Scoring™ 1 may provide a score of −1. A score of zero may be provided if no fold-change is observed. The scores may then be summed and normalized across the entire pathway to yield a final % score between −100 (inhibition) and +100 (up-regulation). Higher absolute magnitude scores, scores that are close to −100 or +100, may indicate a high potential for therapeutic targeting. The Fischer's exact test may be performed to determine if there is sufficient overlap of genes between the experimental differentially expressed genes and the genes in the signaling pathway.


A sample MS-Scoring™ 1 workflow may comprise the following steps. First, potential drugs and pathways are identified by LINCS (Library of Integrated Network-Based Cellular Signatures) as candidates for therapeutic intervention. Second, MS-Scoring™ 1 is used to evaluate individual transcript elements of the target pathway. Third, signatures are cross-referenced with purified single-cell microarray datasets and RNAseq experiments. Fourth, scores are compiled and normalized to provide an overall % score for the pathway and higher absolute magnitude scores indicate a higher potential for therapeutic targeting.


MS-Scoring™ 2 may utilize custom-defined gene modules that represent a signaling pathway or process and is particularly useful for gene expression datasets from microarray or RNAseq. The MS-Scoring™ 2 tool may be configured to take a deeper look at signaling pathways analyzed using the MS-Scoring™ 1. The tool may analyze raw gene expression data and assess enrichment by the Gene Set Variation Analysis (as described herein), which assigns an indexed score to the individual co-expressed pathways between −1 and +1 indicating levels of down-regulation and up-regulation respectively.


A sample MS-Scoring™ 2 workflow may comprise the following steps. First, a signaling pathway of interest is selected from the MS-Scoring™ 2 menu. Second, a raw gene expression data is inputted into the MS-Scoring™ 2 tool. Third, enrichment of signaling pathway (s) is assessed on a patient by patient basis. Fourth, the data can then be used to drive insight for the target signaling pathways in individual patient samples.


Gene Set Variation Analysis (GSVA)


Gene Set Variation Analysis (GSVA) algorithms may be performed (for example, as described in Catalina et al. (2019, Communications Biology, “Gene expression analysis delineates the potential roles of multiple interferons in systemic lupus erythematosus”, which is incorporated herein by reference in its entirety) to determine enrichment of signaling pathways in individual patient samples. Gene set variation analysis may be performed using an open source software package for the coding language R available at the R Bioconductor (bioconductor.org), e.g., as described by Hanzelman et al., (“GSVA: gene set variation analysis for microarray and RNA-Seq data,” BMC Bioinformatics, 2013, which is incorporated herein by reference in its entirety) and as described by [R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. www.R-project.org/], which is incorporated herein by reference in its entirety. The modules of genes to interrogate the datasets may be developed. Modules of genes determined to represent a specific signaling pathway or process may be identified (e.g., using publicly available datasets). For example, the IFNB1 signaling pathway is taken from a publicly available gene expression dataset of peripheral blood cells treated with IFNB1 in vitro. Genes co-expressed in this dataset (genes either all increased or decreased compared to control treated peripheral blood) are used to create modules of genes representing the IFNB1 signaling pathway, and GSVA is used to determine the enrichment of this set of genes and hence the IFNB1 signaling pathway in individual patient and control samples.


A GSVA-based data analysis tool may be developed for use in analyzing specific sets of gene pathways. The GSVA-based data analysis tool (e.g., P-Scope) may use a GSVA statistical test-based tool using different sets of genes to analyze certain pathways. Such sets of genes may include, for example, human genes, mouse genes, or a combination thereof.


Computer Systems


The present disclosure provides computer systems that are programmed to implement methods of the disclosure. FIG. 16 shows a computer system 1601 that is programmed or otherwise configured to, for example, perform methods of the disclosure.


The computer system 1601 can regulate various aspects of analysis, calculation, and generation of the present disclosure, such as, for example, performing methods of the disclosure. The computer system 1601 can be an electronic device of a user or a computer system that is remotely located with respect to the electronic device. The electronic device can be a mobile electronic device.


The computer system 1601 includes a central processing unit (CPU, also “processor” and “computer processor” herein) 1605, which can be a single core or multi core processor, or a plurality of processors for parallel processing. The computer system 1601 also includes memory or memory location 1610 (e.g., random-access memory, read-only memory, flash memory), electronic storage unit 1615 (e.g., hard disk), communication interface 1620 (e.g., network adapter) for communicating with one or more other systems, and peripheral devices 1625, such as cache, other memory, data storage and/or electronic display adapters. The memory 1610, storage unit 1615, interface 1620 and peripheral devices 1625 are in communication with the CPU 1605 through a communication bus (solid lines), such as a motherboard. The storage unit 1615 can be a data storage unit (or data repository) for storing data. The computer system 1601 can be operatively coupled to a computer network (“network”) 1630 with the aid of the communication interface 1620. The network 1630 can be the Internet, an internet and/or extranet, or an intranet and/or extranet that is in communication with the Internet.


The network 1630 in some cases is a telecommunication and/or data network. The network 1630 can include one or more computer servers, which can enable distributed computing, such as cloud computing. For example, one or more computer servers may enable cloud computing over the network 1630 (“the cloud”) to perform various aspects of analysis, calculation, and generation of the present disclosure, such as, for example, performing methods of the disclosure. Such cloud computing may be provided by cloud computing platforms such as, for example, Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM cloud. The network 1630, in some cases with the aid of the computer system 1601, can implement a peer-to-peer network, which may enable devices coupled to the computer system 1601 to behave as a client or a server.


The CPU 1605 may comprise one or more computer processors and/or one or more graphics processing units (GPUs). The CPU 1605 can execute a sequence of machine-readable instructions, which can be embodied in a program or software. The instructions may be stored in a memory location, such as the memory 1610. The instructions can be directed to the CPU 1605, which can subsequently program or otherwise configure the CPU 1605 to implement methods of the present disclosure. Examples of operations performed by the CPU 1605 can include fetch, decode, execute, and writeback.


The CPU 1605 can be part of a circuit, such as an integrated circuit. One or more other components of the system 1601 can be included in the circuit. In some cases, the circuit is an application specific integrated circuit (ASIC).


The storage unit 1615 can store files, such as drivers, libraries and saved programs. The storage unit 1615 can store user data, e.g., user preferences and user programs. The computer system 1601 in some cases can include one or more additional data storage units that are external to the computer system 1601, such as located on a remote server that is in communication with the computer system 1601 through an intranet or the Internet.


The computer system 1601 can communicate with one or more remote computer systems through the network 1630. For instance, the computer system 1601 can communicate with a remote computer system of a user. Examples of remote computer systems include personal computers (e.g., portable PC), slate or tablet PC's (e.g., Apple® iPad, Samsung® Galaxy Tab), telephones, Smart phones (e.g., Apple® iPhone, Android-enabled device, Blackberry®), or personal digital assistants. The user can access the computer system 1601 via the network 1630.


Methods as described herein can be implemented by way of machine (e.g., computer processor) executable code stored on an electronic storage location of the computer system 1601, such as, for example, on the memory 1610 or electronic storage unit 1615. The machine executable or machine-readable code can be provided in the form of software. During use, the code can be executed by the processor 1605. In some cases, the code can be retrieved from the storage unit 1615 and stored on the memory 1610 for ready access by the processor 1605. In some situations, the electronic storage unit 1615 can be precluded, and machine-executable instructions are stored on memory 1610.


The code can be pre-compiled and configured for use with a machine having a processor adapted to execute the code, or can be compiled during runtime. The code can be supplied in a programming language that can be selected to enable the code to execute in a pre-compiled or as-compiled fashion.


Aspects of the systems and methods provided herein, such as the computer system 1601, can be embodied in programming. Various aspects of the technology may be thought of as “products” or “articles of manufacture” typically in the form of machine (or processor) executable code and/or associated data that is carried on or embodied in a type of machine-readable medium. Machine-executable code can be stored on an electronic storage unit, such as memory (e.g., read-only memory, random-access memory, flash memory) or a hard disk. “Storage” type media can include any or all of the tangible memory of the computers, processors or the like, or associated modules thereof, such as various semiconductor memories, tape drives, disk drives and the like, which may provide non-transitory storage at any time for the software programming. All or portions of the software may at times be communicated through the Internet or various other telecommunication networks. Such communications, for example, may enable loading of the software from one computer or processor into another, for example, from a management server or host computer into the computer platform of an application server. Thus, another type of media that may bear the software elements includes optical, electrical and electromagnetic waves, such as used across physical interfaces between local devices, through wired and optical landline networks and over various air-links. The physical elements that carry such waves, such as wired or wireless links, optical links or the like, also may be considered as media bearing the software. As used herein, unless restricted to non-transitory, tangible “storage” media, terms such as computer or machine “readable medium” refer to any medium that participates in providing instructions to a processor for execution.


Hence, a machine-readable medium, such as computer-executable code, may take many forms, including but not limited to, a tangible storage medium, a carrier wave medium or physical transmission medium. Non-volatile storage media include, for example, optical or magnetic disks, such as any of the storage devices in any computer(s) or the like, such as may be used to implement the databases, etc. shown in the drawings. Volatile storage media include dynamic memory, such as main memory of such a computer platform. Tangible transmission media include coaxial cables; copper wire and fiber optics, including the wires that comprise a bus within a computer system. Carrier-wave transmission media may take the form of electric or electromagnetic signals, or acoustic or light waves such as those generated during radio frequency (RF) and infrared (IR) data communications. Common forms of computer-readable media therefore include for example: a floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, DVD or DVD-ROM, any other optical medium, punch cards paper tape, any other physical storage medium with patterns of holes, a RAM, a ROM, a PROM and EPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wave transporting data or instructions, cables or links transporting such a carrier wave, or any other medium from which a computer may read programming code and/or data. Many of these forms of computer-readable media may be involved in carrying one or more sequences of one or more instructions to a processor for execution.


The computer system 1601 can include or be in communication with an electronic display 1635 that comprises a user interface (UI) 1640 for providing, for example, a visual display. Examples of UIs include, without limitation, a graphical user interface (GUI) and web-based user interface.


Methods and systems of the present disclosure can be implemented by way of one or more algorithms. An algorithm can be implemented by way of software upon execution by the central processing unit 1605. The algorithm can, for example, perform methods of the disclosure.


EXAMPLES

The following illustrative examples are representative of embodiments of the software applications, systems, and methods described herein and are not meant to be limiting in any way.


Example 1: Comprehensive Gene Expression Analysis Reveals Targetable Pathologic Processes in Blood, Lung, and Airway of COVID-19 Patients

Abstract


SARS-CoV2 is a previously uncharacterized coronavirus and causative agent of the COVID-19 pandemic. COVID-19 typically causes mild respiratory symptoms, but may escalate to acute respiratory distress syndrome (ARDs) with an increased risk of respiratory failure and death. However, the trajectory of disease progression and the status of affected tissues in COVID-19 patients has not been elucidated. We performed a comprehensive analysis of gene expression data from the blood, lung, and airway of COVID-19 patients to better understand the host response to SARS-CoV2 infection. Our results indicate that COVID-19 pathogenesis is driven by populations of myeloid-lineage cells with highly inflammatory but distinct transcriptional signatures, suggesting a progression in activation from the periphery to the lung tissue. In addition, through analysis of immune cells and inflammatory pathways enriched in each compartment, we have built a model of the systemic response to SARS-CoV2 and identified therapeutics targeting key upstream regulators of pathways contributing to COVID-19 pathogenesis.


Introduction


Coronaviruses (CoV) are a group of enveloped single positive stranded RNA viruses named for the spike proteins on their surface that resemble a crown (Fung and Liu, 2019). Seven coronaviruses have now been found to infect humans, causing mild to severe respiratory and intestinal illnesses including an estimated 15% of common colds (Cui et al., 2019; Greenberg, 2016). In the past two decades, three global pandemics have originated from coronaviruses capable of infecting the lower respiratory tract resulting in heightened pathogenicity and high mortality rates in humans. In 2002-2003, severe acute respiratory syndrome coronavirus (SARS-CoV) lead to greater than 8,000 cases with a mortality rate of nearly 10% (Drosten et al., 2003; Fung and Liu, 2019). Subsequently, Middle East respiratory syndrome coronavirus (MERS-CoV) emerged in 2012, leading to over 2,000 confirmed cases and a mortality rate of approximately 35% (Chafekar and Fielding, 2018; Fung and Liu, 2019). We are currently in the midst of a pandemic stemming from a new coronavirus strain, severe acute respiratory syndrome coronavirus 2 (SARS-CoV2), the causative agent of coronavirus disease 2019 (COVID-19). In the majority of cases, patients exhibit mild symptoms, whereas in more severe cases, patients may develop acute respiratory distress syndrome (ARDS), which leads to lung injury and death from respiratory failure (Chen et al., 2020a; Zhang et al., 2020).


SARS-CoV2 utilizes the SARS-CoV receptor, ACE2, in conjunction with the spike protein activator, TMPRSS2, to infect host cells (Hoffmann et al., 2020). Expression of ACE2 and TMPRSS2 has been detected in multiple tissues including lung epithelium and vascular endothelium, (Lovren et al., 2008; Sungnak et al., 2020) which are likely to be the first cells infected by the virus. However, at this time, there is still incomplete information available regarding the host response to SARS-CoV2 infection and the perturbations resulting in a severe outcome. Despite this, clues can be derived from our knowledge of the immune response to infection by other respiratory viruses, including SARS-CoV and MERS-CoV. After infection, viruses are typically detected by pattern recognition receptors (PRRs) such as the inflammasome sensor NLRP3, which signal the release of interferons and inflammatory cytokines including the IL-1 family, IL-6, and TNF which activate a local and systemic response to infection (Kelley et al., 2019; Lazear et al., 2019). This involves the recruitment, activation, and differentiation of innate and adaptive immune cells including neutrophils, inflammatory myeloid cells, CD8 T cells, and natural killer (NK) cells (Newton et al., 2016). Resolution of infection is largely dependent on the cytotoxic activity of CD8 T cells and NK cells, which enables clearance of virus-infected cells and thus acts to prevent further spread of the virus (Newton et al., 2016). Failure to clear virus-infected cells may facilitate a hyper-inflammatory state termed “cytokine storm”, macrophage activation syndrome (MAS), or haemophagocytic lymphohystocytosis (HLH) and ultimately damage to the infected lung (Crayne et al., 2019; McGonagle et al., 2020). Clearance of virus also coincides with development of neutralizing antibodies, although recent studies have suggested that 30% of subjects who clear SARS-CoV2 do not develop neutralizing antibodies (Tay et al.). Moreover, the role of the anti-SARS-CoV2 antibody is complex, in that in non-human primates, anti-viral antibody may exacerbate the lung pathology, a phenomenon also reported in older subjects infected with the virus (Wang et al., 2020).


The novelty of SARS-CoV2 and thus the lack of comprehensive knowledge regarding the progression of COVID-19 disease, has constrained our ability to develop effective treatments for infected patients. One means to obtain a comprehensive knowledge of the host response to SARS-CoV2 is to examine gene expression in relevant tissues. A limited number of studies have been reported and have suggested that the disease generally induces a dysfunctional immune response involving lymphopoenia, increased inflammatory cell recruitment to the lung, and an increase in local and systemic release of pro-inflammatory cytokines or “cytokine storm”, conditions which are exacerbated in more severe cases (Tay et al.). However, because of the small number of samples and limited analysis, a full picture of the biological state of SARS-CoV2-affected tissues has not emerged. To address this, we have assessed all of the available SARS-CoV2 gene expression datasets using a number of orthogonal bioinformatic tools to better understand the host response to SARS-CoV2 infection. As a result, we have identified immune cell types and inflammatory pathways critical for COVID-19 pathogenesis. Furthermore, we have characterized differences in transcriptional signatures between these compartments to develop a model for the systemic response to SARS-CoV2 infection and identified potential drugs to target harmful inflammatory mediators in COVID-19 patients.


Results


Gene Expression Analysis of Blood, Lung, and Airway of COVID-19 Patients


Gene expression reflects the current state of cellular activity of cells or organs and can be employed to delineate changes in cellular composition and/or function in a sample. A limited number of gene expression profiles are available from patients with COVID-19 and have yielded some insights into the pathogenic processes triggered by infection with SARS-CoV-2 (Blanco-Melo et al., 2020; Wei et al., 2020; Xiong et al., 2020). We reasoned that a more comprehensive analysis of all available gene sets from blood, lung and airway using a number of complementary orthogonal approaches might provide a more complete view of the nature of the COVID-19 inflammatory response and the potential points of intervention that might have therapeutic value. To characterize the pathologic response to SARS-CoV2 infection manifested in the peripheral blood and lung of COVID-19 patients, we analyzed RNA sequencing (RNA-seq) data from peripheral blood mononuclear cells (PBMCs) and postmortem lung tissue of COVID-19 patients and healthy controls as well as bronchoalveolar lavage (BAL) fluid of COVID-19 patients (Blanco-Melo et al., 2020; Xiong et al., 2020). We first determined changes in gene expression in the blood (PBMC-CTL vs PBMC-CoV2) and lung (Lung-CTL vs Lung-CoV2). Because no control BAL fluids were associated with the BAL-CoV2 samples, we compared BAL-CoV2 to PBMC-CoV2 from the same dataset to avoid effects related to batch and methodology. These results must be viewed with caution, understanding that the comparison can only show changes in gene expression profiles between different compartments. Despite that, important differences were observed. Overall, we found 4,277 differentially expressed genes (DEGs) in the blood (2,175 up and 2,102 down), 2,261 DE genes in the lung (711 up and 1550 down), and 9,183 DE genes in the airway (4,263 up and 4,920 down). From these comparisons, we traced transcriptional changes in the progression of the pathologic response to SARS-CoV2 through these three compartments from activation and mobilization of immune cells in the blood, to infiltration into the lung tissue and airway of infected patients (FIG. 1A).


Conserved and Differential Enrichment of Immune Cells and Pathways in Blood, Lung, and Airway of COVID-19 Patients


To interrogate pathologic pathways in the 3 compartments, we performed Gene Set Variation Analysis (GSVA) utilizing previously reported interferon response gene (IRG) modules (Catalina et al., 2019), gene modules of inflammatory pathways curated from online databases, and previously defined gene modules characterizing immune and inflammatory cells and processes (Cataline et al. unpublished manuscript) (FIG. 8). This analysis allowed us to identify differences in inflammatory pathways and immune cell types enriched in COVID-19 patients as compared to healthy controls as well those that were differentially enriched between the blood, lung, and airway compartments. Overall, our results revealed increased inflammatory pathway signatures (FIG. 1B), decreased lymphoid cell signatures (FIG. 1C), and increased myeloid cell signatures (FIG. 1D) in COVID-19 patients, a pattern that is consistent with earlier studies (Blanco-Melo et al., 2020; Wen et al., 2020; Xiong et al., 2020). Interestingly, we found important differences in the gene expression profiles between the blood, lung, and airway compartments.


In the blood, inflammatory pathways including the classical and lectin-induced complement pathways and the NLRP3 inflammasome were enriched (FIG. 1B). T cells were significantly decreased in the blood of 2 out of 3 COVID-19 patients and cytotoxic CD8 T cells and NK cells were significantly decreased in all patients. In contrast, we found enrichment of signatures for the CD40 activated pathway and plasma cells only in the blood and not the lung or airway of infected individuals (FIG. 1C). Myeloid populations, which include monocytes and granulocytes, were not enriched in the blood of COVID-19 patients compared to controls (FIG. 1D). However, we did observe a significant increase in the monocyte-specific gene signature as well as polarized M1/M2 macrophages (FIG. 1D).


Although, there is conflicting data on the presence of an Interferon Gene Signature (IGS) and whether SARS-CoV2 infection induces a robust IFN response, (Blanco-Melo et al., 2020) we observed increased expression of Type I interferon genes (IFNA4, IFNA6, IFNA10) and significant enrichment of the Type I and Type II IGS specifically in the lung tissue, but not in the blood or airway of COVID-19 patients (FIG. 7; FIG. 1B). We also observed enrichment of other potentially pathologic processes in the lung that were shared with the other compartments, including the classical and alternative complement pathways and NLRP3 inflammasome signatures (FIG. 1B). In the lung tissue, overall T cell signatures were modestly, but not significantly enriched, and activated or cytotoxic cells were not enriched compared to healthy controls suggesting that some T cells were able to enter the infected lung tissue, but were not activated and did not include cells with cytotoxic potential (FIG. 1C). In addition, all myeloid, monocyte, and macrophage populations were enriched as well as neutrophils and granulocytes, consistent with a contribution of multiple myeloid cells types contributing to COVID-19 lung pathology (FIG. 1D; FIG. 8B) (Xu et al., 2020).


In the airway, the classical and alternative complement pathways but not the NLRP3 inflammasome signature were enriched in COVID-19 patients as compared to COVID PBMCs (FIG. 1B). We also observed even greater deficiencies in T cells and cytotoxic cells as compared to the peripheral blood (FIG. 1C). Similar to PBMCs from COVID-19 patients, the general myeloid cell gene signature was not enriched in the airway. In contrast, only the M1/M2 macrophage signatures and not the monocyte signature was significantly enriched compared to the blood (FIG. 1D). As a whole, these results highlight the heterogeneity of immune cell types and resulting inflammatory processes in the peripheral blood, lung tissue, and airways of COVID-19 patients.


Increased Expression of Inflammatory Mediators in the Lungs of COVID-19 Patients


To examine the nature of the inflammatory response in the tissue compartments in greater detail, we examined differential expression of specific genes of interest (FIGS. 2A&B). In the blood, we noted increased expression of the inflammatory chemokine CXCL10, which is induced by IFNγ and involved in the activation and chemotaxis of peripheral immune cells (Lindell et al., 2008). We also found increased expression of the chemokine receptor CCR2, which has been shown to be critical for immune cell recruitment in response to respiratory viral infection (FIG. 2A) (Teijaro, 2015). We found few differentially expressed cytokine genes in the blood, but did observe an increase in expression of the inflammatory IL-1 family member, IL18 (FIG. 2B). Expression of a number of chemokines including ligands for CCR2 were significantly increased in both the lung tissue and airway of COVID-19 patients, including CCL2, CCL3L1, CCL7, CCL8, and CXCL10 (FIG. 2A). Whereas the only IL-1 family cytokines significantly enriched in the lung were IL1A and IL1B, we did observe enrichment of the IL-1 cytokine gene signature by GSVA (FIG. 2B; FIG. 8B). In addition to increased expression of chemokine genes shared with the lung tissue (FIG. 2A), many more pro-inflammatory IL-1 family members including IL18, IL33, IL36B, and IL36G were significantly elevated in the airway and not the lung of COVID-19 patients (FIG. 2B).


Non-Hematopoietic Cells in the BAL Fluid May be Indicative of Viral-Induced Damage in the Lungs


To determine whether viral infection in the lungs and airway resulted in modification of resident tissue populations, we evaluated GSVA enrichment of non-hematopoietic cell type gene signatures including fibroblasts, Type I and Type II alveolar cells, ciliated lung cells, club cells, and a general lung tissue cell signature (FIGS. 2C-2E; FIG. 10). We found that these non-hematopoietic cell signatures were significantly enriched in the airway, but not the lung. Additionally, we only detected increased expression of the viral entry genes ACE2 and TMPRSS2, which are typically expressed on lung epithelium (ref), in the airway of SARS-CoV2-infected patients (FIG. 2F).


Protein-Protein Interaction Metaclusters Identify Myeloid Cells and Metabolic Pathways in Blood, Lung, and Airway of COVID-19 Patients


We next sought to utilize an unbiased, clustering approach to assess the relationship between immune cell types and the altered biological processes driving SARS-CoV2-mediated pathology within each tissue compartment. Protein-protein interaction (PPI) networks consisting of DE genes were simplified into metastructures defined by the number of genes in each cluster, the number of significant intracluster connections and the number of associations connecting members of different clusters to each other. Overall, upregulated protein networks from blood, lung, and airway of SARS-CoV2-infected patients identified numerous multifunctional clusters many of which included heterogeneous populations of monocyte and myeloid lineage cells. For example, PBMC cluster 8 was dominated by an inflammatory monocyte population defined by C2, C5, CXCL10, CCR2 and multiple interferon-stimulated genes, whereas cluster 3 contained hallmarks of alternatively activated (M2) macrophages and/or myeloid-derived suppressor cells (MDSCs), including CD33, CD36, CD93 and ITGAM (FIG. 3A). Smaller immune clusters were indicative of specific monocyte/myeloid functions, including inflammasome activation (cluster 54), DAMP activity (cluster 17), the classical complement cascade (cluster 34) and the response to Type II interferons (cluster 32). Myeloid heterogeneity was also reflected in the presence of multiple metabolic pathways, such as enhanced oxidative phosphorylation (OXPHOS) in clusters 1 and 4 linked to M2 macrophages, and glycolysis in clusters 7 and 13 used by inflammatory monocytes. Consistent with our GSVA results, peripheral blood exhibited profoundly suppressed T cells determined by the downregulation of T cell activation markers CD28, LCK and ITK (FIG. 11A).


Lung tissue was heavily inflamed exhibiting infiltration of monocyte/myeloid populations with additional infiltration of LDGs, granulocytes, T and B cells. Although distributed among multiple clusters, we observed upregulation of FCN1 (cluster 15), SELL (cluster 14) and S100A8/A9 (cluster 4) which comprise an inflammatory monocyte signature (G1 population) derived from the BAL fluid of COVID patients recently described by Liao et al. (Liao et al., 2020) (FIG. 12A). Metabolic function in the lung was varied, however, upregulated genes segregated with glycolysis, potentially reflecting cellular activation (cluster 18), whereas OXPHOS was predominantly downregulated along with other nuclear processes (transcription and mRNA processing) (FIG. 3B; FIG. 11B).


Finally, the airway was enriched in inflammatory monocytes, mitochondrial function and transcription. Multifunctional cluster 4 was dominated by immune-secreted molecules including numerous chemokine and cytokine receptor-ligand pairs indicative of elevated chemotactic activity, while smaller immune clusters were enriched in classical complement activation (cluster 34), type II interferon (cluster 26) and IL-1 responses (cluster 51). We also observed evidence of recently described alveolar macrophages (AMs; G4 population) specifically in the airway (Liao et al., 2020), although these markers were distributed among multiple clusters, including FABP4 and PPARG in cluster 17, SPP1 and MRC1 in cluster 10, and MARCO and TFRC in clusters 34 and 7, respectively (FIG. 3C, FIG. 12E). The airway was the only compartment with a prominent apoptosis signature located in cluster 47. Consistent with high levels of tissue damage originating from the lung, we observed numerous small clusters reflecting epithelial disruption and non-hematopoietic cell involvement, including clusters 5 and 13 containing multiple intermediate filament keratin genes and cell-cell adhesion claudin genes, respectively. Furthermore, non-hematopoietic cell signatures in the BAL were similar in content to those derived from in vitro COVID19-infected lung epithelium primary cell lines (NHBE) REF (FIG. 11D). Compromised lung function and deep tissue damage was also evident in clusters containing numerous surfactant genes (cluster 43), and the presence of several endothelial (VEGF, PDGFC and DLC1) and fibroblast (ASPN) markers. Similar to the PBMC compartment, T cells were decreased in the airway (FIGS. 11A and 11C).


Myeloid Cell-Derived Metaclusters Define Functional Myeloid Subpopulations within the Blood, Lung, and Airway of Covid-19 Patients


Given the large number of monocyte and myeloid enriched clusters, we next wanted to examine those clusters in greater detail to identify unique myeloid lineage and/or monocyte populations within each tissue compartment. In PBMCs, metaclusters derived from monocyte-enriched clusters revealed new gene modules that were representative of common macrophage function (chemotaxis, proteolysis, etc) as well as two independent monocyte/myeloid subpopulations (FIG. 3D). Cluster 6 contained numerous markers highly reminiscent of classically activated blood monocytes, including C1QA, C1QB, MARCO, TLR4, IRAK1 and was connected to inflammasome genes in cluster 13. Furthermore, clusters 6 and 13 exhibited significant overlap with the inflammatory G1 population defined by Liao et al (2020). In contrast, genes in cluster 1 suggest a second myeloid population characterized by expression of CD33, ITGAM, apoptotic cell clearance (CD93 and MERTK) and high proteolytic capacity. Interestingly, comparison of this population with additional previously defined myeloid populations demonstrated significant overlap with IFN-activated macrophages, CX3CR1+ lining macrophages (arthritis model) and an alveolar macrophage phenotype (FIG. 12F).


Similar to the blood, lung-derived monocyte/myeloid genes segregated into clusters associated with common myeloid-lineage cell functions, such as chemotaxis and pattern recognition, as well as multiple subpopulations (FIG. 3E). Cluster 3 interacted strongly with cluster 6 (interaction score 0.7), containing numerous C-type lectin domain family members involved in cell adhesion, chemotactic receptors (CD74), ligands (CCL8), and FCN1, a recently described marker for highly inflammatory monocytes (G1 population) (Liao et al., 2020). Cluster 6 strongly interacted with pro-migration/chemotaxis cluster 2, and together these clusters exhibited significant overlap with the Liao-defined G1 population, confirming the presence of an infiltrating inflammatory monocyte population in this compartment (FIG. 12F).


Examination of genes in cluster 4 and 7 reveals a potential second myeloid population characteristic of alveolar macrophages (AMs) defined by CSF2RB, which functions as the receptor for GM-CSF, a cytokine that regulates AM differentiation (Joshi et al., 2006; Newton et al., 2016; Suzuki et al., 2014). Interestingly, further characterization of this population indicates significant involvement of the coagulation system indicated by F5, FGG, FGL1, FGL1, SERPINA and SERPINE2.


BAL fluid was also potentially defined by 2 populations, including cluster 7 which had hallmarks of inflammatory/M1 monocytes (MARCO and multiple members of the complement cascade), and AMs in clusters 3 and 5 (FIG. 12F). Cluster 5 was highly enriched in genes related to transcription, but also contained numerous markers for AMs, including APOC1, FABP4 and PPARG and demonstrated significant overlap with the Liao G3 and G4 populations defining “pro-fibrotic” and “lung alveolar macrophages,” respectively (FIG. 12F) (Liao et al., 2020).


Co-Expression Further Delineates Differing Myeloid Gene Expression Between Subpopulations within the Blood, Lung, and Airway of COVID-19 Patients


Both GSVA and PPI networks elucidated the presence of increased myeloid cell populations in all SARS-CoV-2 affected tissues, and PPIs revealed the presence of tissue-specific subpopulations, defined by differing biologic functions. The overlap between many Liao et al. signature genes and the tissue-defined PPI clusters motivated us to further evaluate their enrichment in all tissue compartments. Consistent with PPI clusters, the inflammatory-monocyte like population (G1) was found to be increased in both PBMC and lung, but was significantly decreased in the BAL (FIG. 12A). The G1 and G2 population genes, characterized by predominately interferon-stimulated genes, were increased in the lung (FIG. 12B). Conversely, the “novel intermediate macrophage” population (G2) characterized by inflammatory mediators and chemokines such as CCL2, CCL3 and CCL4, was increased in the BAL, but not the PBMCs (FIG. 12C). Additionally, per patient analyses confirmed the presence of the “pro-fibrotic, SPP1+” macrophage (G3) and “lung alveolar macrophage” populations (G4) in the BAL, although there also may be some evidence of these populations in the lung (FIGS. 12D-12E).


Taken together, evaluation of PPIs and previously published COVID myeloid populations revealed nuances in the myeloid cell populations found among the tissue compartments. We wished to further classify these populations by their expression of traditional myeloid-specific genes including cell surface markers and chemokines. DE interrogation of all possible myeloid cell-specific genes demonstrated further heterogeneity in expression of markers, such as CD14, CD300C, and OSCAR between compartments (FIG. 13). GSVA evaluation of both monocyte cell surface and monocyte secreted gene expression confirmed heterogeneous cell surface markers in the BAL, and increased chemokine secretion in the lung (FIG. 4A). To expand upon the PPI framework, and evaluate how these myeloid-specific genes were expressed in relation to our discovered subpopulations, we utilized co-expression analysis. As such, we evaluated the co-expression of 195 monocyte and myeloid cell genes independently in each tissue compartment. For each gene, a Pearson correlation coefficient was calculated with every other myeloid cell gene for both the samples and controls in each tissue compartment (FIG. 14). The resultant correlation coefficient matrices were then hierarchically clustered into two clusters based upon co-expression (FIG. 14). Each cluster was evaluated in its respective tissue sample and control by GSVA (FIG. 4B). For each compartment, there was a population of genes that were highly co-expressed and altogether increased in each tissue (FIG. 4B). Comparison of the co-expressed genes between each tissue myeloid population shows that many of the increased genes in each tissue are shared (FIG. 4C). The majority of complement genes, including C1QA, C1QB, C1QC C2, C4BPA, and C6 were in included in the 40 genes co-expressed in the increased populations in each compartment. The common co-expressed genes in all tissues also included CCL2, CCL7, CCL8, CXCL10, CCL18, CXCL11, IL18, and TNF. Notably, some of the co-expressed genes unique to the increased COVID lung and BAL populations included CHI3L1, CXCL8, CXCR2, and IL1B, which may be reminiscent of alveolar macrophages. Conversely, these genes were uniquely decreased in the COVID PBMCs.


To characterize the function and nature of these myeloid populations, we again compared them with previously published myeloid signatures including those identified as alveolar macrophages (Reyfman et al., 2019), M1 and M2 populations (Martinez et al., 2006) (Adam's RnD source), and other signatures observed in murine models of inflammatory arthritis (Culemann et al., 2019). Furthermore, we evaluated the overlap between co-expression derived myeloid clusters and those identified using STRING/MCODE PPI in FIG. 3, as well as macrophages clusters recently evaluated in another cohort of COVID BAL fluid (Liao et al., 2020). We observed significant overlap, as determined by Fisher's Exact Test, in many populations (FIG. 4D).


Of the co-expression derived myeloid clusters increased in each tissue compartment, we observed a progression of classically activated, proinflammatory monocytes from the blood into the lung tissue and in some cases getting sloughed off into the airway, as observed by significant overlap with the PBMC myeloid cluster 6, Lung myeloid clusters 3 and 6, Liao et al.'s proinflammatory population (G1), and the CCR2+IL1B+ infiltrating population (FIG. 4D). Interestingly, we observed a similar trend with the CD33+ MDSC-like pathogenic population (PBMC Myeloid Cluster 1), although the overlap was not as significant as the classically activated, proinflammatory monocyte populations. Contrary to these patterns, we did also observe an M1 macrophage population in all three compartments that was most significantly enriched in the COVID BAL fluid (RnD M1). Upon further investigation into the specific overlapping M1 genes, this observed enrichment was primarily due to the presence of chemokines, proinflammatory cytokines, and activation marker CD80. Additionally, we identified alveolar macrophages in all compartments but primarily in the lung, characterized by inhibitory M2-like gene transcripts, alarmins, chemokines, Fc fragments of the IgG receptor, and CD11c. Despite identification of myeloid populations with features of multiple previously described subtypes, the increased myeloid co-expression derived populations were predominantly proinflammatory and were characterized by pathogenic, activated phenotypes.


Linear Regression Confirms Functional Associations with Myeloid Subpopulations


To confirm the function of these myeloid populations in the pathology of SARS-CoV-2, we performed linear regression analyses between myeloid GSVA scores and functional or signaling pathways. Earlier DE functional enrichment and MCODE/STRING analyses suggested a predominant role for metabolism, particularly glycolysis and the TCA cycle, in PBMCs, as well as OXPHOS in all three tissue compartments. We therefore evaluated metabolism in each compartment using GSVA (FIG. 15). We found that the TCA cycle was significantly increased in PBMCs, whereas OXPHOS is significantly increased in the BAL (FIGS. 15C-15D). Additionally, pro-cell cycle genes were increased in PBMCs and pro-apoptosis genes were decreased. We thus evaluated apoptosis and cell cycle on an individual patient basis in each of the compartments using GSVA (FIG. 16). Furthermore, both TNF signaling and complement proteins have been noted as relevant to COVID pathology, and these were evaluated by GSVA as well (FIG. 1).


Linear regression analyses between GSVA scores for the myeloid cell populations and metabolic, functional, and signaling pathways in each compartment further demonstrated differences among the myeloid cell populations. The myeloid cell population in the PBMCs was found to be highly glycolytic, whereas there was no significant change to metabolism detected in the lung, and the population in the BAL was reliant on OXPHOS (FIG. 5A). Although myeloid cell signatures were associated with the NLRP3 inflammasome in the PBMCs and lungs, this association was not found in the BAL (FIG. 5B). The classical complement cascade was significantly correlated with the increased myeloid cells in both PBMCs and BAL, whereas the alternative complement cascade was significantly correlated with the myeloid cells in the lung (FIG. 5C). The myeloid cells in the PBMCs were also significantly correlated with the cell cycle, but this may be more evident of plasma cells in the blood (FIG. 5D). Additionally, the lung and BAL myeloid populations were negatively correlated with apoptosis (FIG. 5E). As a whole, our analyses reveal the heterogeneity of myeloid cell populations in the blood, lung, and airway of COVID-19 patients in their metabolic and overall inflammatory status, which has critical implications for the role (s) these populations play in COVID-19 pathogenesis.


IPA Confirms Metabolic Activity and Viral, Innate Immunity as Targetable Pathways in COVID-19 Patients


To further inform the biology of SARS-CoV-2-infected patients, we conducted pathway analysis on DEGs from each of the peripheral blood, lung, and airway compartments using IPA canonical signaling pathway and upstream regulator analysis functions (FIG. 6). Gene expression fold changes were used to inform statistical overlap with known signaling pathways and molecules upstream of DEGs in SARS-CoV-2. In general, interferon signaling, the inflammasome, and other components of antiviral, innate immunity were reflected by the disease state gene expression profile compared to healthy controls (FIG. 6A). In addition, metabolic pathways including oxidative phosphorylation and glycolysis were significantly activated in SARS-CoV-2 PBMCS compared to controls. Though no differences were found between the PBMCs and BALF in these particular pathways, interestingly, xenobiotic metabolism was predicted to be significantly more activated in the airway indicating a cellular defense response.


Upstream regulators predicted to mediate responses to the virus in each compartment indicated uniform involvement of proinflammatory cytokines with type I interferon regulation dominant in the diseased lung (FIG. 6B). Notable upstream regulators of SARS-CoV-2 peripheral blood included IFNA, IFNG, multiple growth factors and ligands, HIF1A, CSF1 and CSF2; however, when compared to the BALF, upstream regulators of the peripheral blood were more indicative of the presence of lymphocytes. Evidence of proinflammatory cytokine signaling by IL17 and IL36A were predicted in COVID-19 lung and airway compartments. Whereas the BALF DEG profile indicated upstream regulation by both inflammatory and inhibitory cytokines, including IL6 and IL13 and IL10, respectively, the COVID-19 lung upstream regulators were markedly proinflammatory, including, NFκB, IL12, TNF, IL1B, and multiple type I interferons. Small molecules, drugs, and compounds that were predicted as upstream regulators or matched to targets indicate unique therapeutic possibilities in each tissue compartment. Of note, anti-IL17, anti-IL6, anti-IL1, anti-IFNA, anti-IFNG, and anti-TNF treatments were predicted as antagonists of SARS-CoV-2 biology. Steroids were predicted to revert the gene expression profile in the diseased lung, but were predicted as upstream regulators of COVID-19 PBMCs. Finally, chloroquine was additionally predicted to revert the SARS-CoV-2 transcription profile in the lung.


Discussion


In the present study, we utilize multiple orthogonal bioinformatics approaches to analyze differential gene expression from the blood, lung, and airway of COVID-19 patients. As a whole, our results are in agreement with the current understanding of SARS-CoV2 pathogenesis, which generally involves lymphopenia accompanied by increased activation of pro-inflammatory pathways and myeloid cells (Tay et al.). In particular, we found that DE genes from COVID-19 patients were enriched in gene signatures of interferon, complement pathways, and the inflammasome, which would be expected to initiate a robust and systemic response to infection. We also utilized various approaches to derive and characterize the expanded myeloid cell subpopulations in COVID-19 patients. These observed increases in inflammatory pathways and myeloid cell subsets are likely reflective of a dysregulated immune response that contributes to lung damage, and in severe cases, to multi-organ failure and overall poor health outcomes in COVID-19 patients. Furthermore, by comparing DE results from multiple compartments (the blood, lung, and airway) in COVID-19 patients, we have developed a model of the systemic pathogenic response to SARS-CoV2 infection (FIG. 7).


In our proposed model, after viral exposure, SARS-CoV2 enters the host airway and infects alveolar epithelial cells, which express the virus entry receptors ACE2 and TMPRSS2. In the lung tissue, we observed increased expression of Type I interferon genes, enrichment of Type I and Type II interferon gene signatures, and expression of IFN-stimulated genes including TNF and NOS2. Type I interferons are critical components of the host response to viral infection through inducing the expression of anti-viral genes and direct or indirect immune cell activation and, thus, are targets of immune evasion tactics by coronaviruses including SARS-CoV and MERS-CoV (Newton et al., 2016; Tay et al.). Type I interferons can be produced by virus-infected cells, or cells that have detected viral infection (Goritzka et al., 2015). Therefore, interferon production in the lung of COVID-19 patients is likely initiated by infected alveolar cells and propagated by activated alveolar macrophages, leading to the production of IFNγ and other pro-inflammatory mediators (Darwich et al., 2009; Newton et al., 2016). To date, reports have been divided over whether an interferon response is present in COVID-19 patients in that some reports cite a poor interferon response (Blanco-Melo et al., 2020), some observe a robust interferon response that increases with disease severity (Wei et al., 2020), and still others have found heterogeneity in whether patients exhibit an interferon response to SARS-CoV2 infection (Trouillet-Assant et al., 2020). Therefore, the interferon response to SARS-CoV2 requires further study and consideration when developing treatment strategies for individual patients.


Signals from the lung including interferon or other pro-inflammatory mediators from infected cells disseminate into the peripheral blood to launch a systemic inflammatory response. In the periphery, inflammatory mediators from the lung typically promote activation and migration of myeloid cells, NK cells, and adaptive immune cells including T and B cells, which can differentiate into effector CD8 T cells and antibody-producing plasma cells (Newton et al., 2016). We found significant deficiencies in gene signatures of T cells, NK cells, and cytotoxic cells, which include activated CD8 T cells and NK cells, in the peripheral blood of COVID-19 patients, which is consistent with clinical and analytical evidence of lymphopenia following SARS-CoV and SARS-CoV2 infection (Chen et al., 2020b; He et al., 2005; Qin et al., 2020; Xu et al., 2020). In contrast to T and NK cells, we observed increased evidence of B cell activation through CD40/CD40L and an increased plasma cell signature in PBMCs of COVID-19 patients. This result suggests that while effector CD8 T cells are deficient, that helper T (Th) cells are present and able to promote B cell activation, the generation of antibody secreting plasma cells, and an antibody-mediated immune response. However, whether a virus-specific antibody response is beneficial to recovery from SARS-CoV2 infection is unclear (Wu et al., 2020). Evidence from SARS-CoV infection suggests that the quality of the antibody produced is critical to mounting an effective anti-viral response. Low quality, low affinity antibody responses may have pathological consequences including promoting lung injury in some patients, although it is unknown if this occurs in SARS-CoV2 infected individuals (Iwasaki and Yang, 2020; Liu et al., 2019).


The predominant populations of immune cells we found to be enriched and activated in COVID-19 patients were myeloid cells and, in particular, subsets of inflammatory monocytes and macrophages, which differed between the blood, lung, and airway compartments. In the peripheral blood, we found significant enrichment of monocytes including classically activated inflammatory monocytes as well as another subset characterized by expression of CD33. This CD33+ myeloid subset appeared to be an alternatively activated population reminiscent of previously characterized IFN-activated macrophages and alveolar macrophages (AMs), which may represent an activation state specific to stimuli arising from the SARS-CoV2-infected lung. Myeloid cells enriched in the blood of COVID-19 patients were also correlated with pro-cell cycle and glycolysis gene signatures indicative of a metabolic status associated with pro-inflammatory M1 macrophages (Viola et al., 2019). In support of the presence of increased pro-inflammatory monocytes/macrophages, we also found significant increases in the expression of the pro-inflammatory IL-1 family member IL18, the interferon-induced chemokine CXCL10, and the chemokine receptor CCR2, all of which have cited roles in the response to respiratory virus infection (Tang et al., 2005; Teijaro, 2015; Wang et al., 2004).


In the lung tissue, we observed increased expression of a number of chemokine ligands for CCR2 (CCL2, CCL7, CCL8) and other receptors (CCL3, CXCL10, CXCL16), which would promote the mobilization of activated immune cells to the locus of infection. While in the blood, we found evidence of increased monocyte/macrophage populations, in the lung tissue, we also observed enrichment of gene signatures of other myeloid cells including neutrophils and low density granulocytes (LDGs), which we could not assess in the blood due to the process of isolating PBMCs. The role of neutrophils and LDGs in COVID-19 pathogenesis has been poorly characterized although they have been found in increased numbers and associated with poor disease outcome in COVID-19 patients (Huang et al., 2020). In addition, some have proposed that the formation of neutrophil extracellular traps (NETs) contributes to increased multi-organ damage and risk of death from SARS-CoV2 infection (Barnes et al., 2020; Thierry and Roch, 2020).


Monocyte/macrophage subsets in the lung of COVID-19 patients were characterized as infiltrating inflammatory monocytes and activated AMs, which exhibited a mixed metabolic status suggestive of different states of activation. Infiltrating monocytes from the peripheral blood appeared to be further activated in the lung tissue as evidenced by enhanced expression of alarmins and markers of highly inflammatory monocytes previously characterized in severe COVID-19 cases (Liao et al., 2020). In particular, we observed increased expression of IL-1 family members, most notably ILIA and enrichment of a pro-inflammatory IL-1 signature in the lung of COVID-19 patients. We also found evidence of a population of AMs previously defined in the BAL of COVID-19 patients (Liao et al., 2020). Alveolar macrophages are typically suppressed at steady state, but adopt a pro-inflammatory phenotype after viral infection in order to assist in phagocytosis and clearance of virus (Newton et al., 2016). However, we observed that this AM population also clustered with genes involved in the coagulation system, which is consistent with observations of procoagulant AM activity in ARDs (Tipping et al., 1988). As pulmonary thrombosis has been associated with poor clinical outcomes in COVID-19 patients, this result suggests that AMs in SARS-CoV2-infected lung tissue may be detrimental to host recovery from disease (Wichmann et al., 2020).


While we observed significant decreases in T cells in the blood of COVID-19 patients, they appeared to be increased in the lung tissue. However, upon closer examination, we noted that there was no enrichment of activated T cells or of cytotoxic CD8 T cells. This indicated that while T cells may be able to enter the infected lung tissue, they are not activated and thus lack the ability to clear virus-infected cells and resolve the inflammatory response. In cases of macrophage activation syndrome (MAS) defects in cytotoxic activity of CD8 T cells and NK cells result in increased cell-cell contacts, enhanced immune cell activation, and intensified production of pro-inflammatory cytokines. Many of the pro-inflammatory cytokines associated with MAS were also expressed in our COVID-19 patient samples, predominantly in the lung tissue and airway compartments, including IL1, IL18, and IL33 (Crayne et al., 2019; McGonagle et al., 2020). Thus, it is likely that the lack of activated CD8 T cells and NK cells and subsequent failure to clear virus-infected cells, is a major contributor to the dysregulated, macrophage-driven pathologic response to SARS-CoV2 observed in COVID-19 patients.


As disease progresses, increased infiltration of pro-inflammatory immune cells and release of inflammatory mediators in the lung is emulated by the presence of immune cells in the airway, which can be sampled through the BAL (Heron et al., 2012). Thus, the contents of the BAL fluid acts as a diagnostic marker or sensor for what is occurring in the lung tissue. In the airway, we detected gene signatures of various post-activated macrophage subsets including inflammatory M1 macrophages, alternatively activated M2 macrophages, and activated alveolar macrophages that had either migrated or been shed from the lung tissue. In conjunction with the presence of inflammatory macrophages, our results revealed a prominent IL-1 family signature in the airway of COVID-19 patients above what we observed in the blood or lung tissue and, in particular, an over 10-fold increase in expression of the alarmins ILIA and IL33 (Jing et al., 2016; Schmitz et al., 2005). These alarmins act as danger signals released by dead or dying cells to promote immune cell activation and therefore, their presence in the airway is likely indicative of an increase in virally infected lung cells. As SARS-CoV2 continues to propagate and viral clearance is impaired by a lack of cytotoxic activity, these alarmins promote inflammation and prevent resolution of the immune response in COVID-19 patients. Thus, this result further supports the notion that IL-1-mediated inflammation plays a critical role in COVID-19 pathogenesis. Expression of myeloid cell genes in the airway also correlated with a signature of oxidative metabolism, which is characteristic of M2 macrophages and typically associated with control of tissue damage (Viola et al., 2019). However, in the context of pulmonary infection, polarization of alveolar macrophages toward an anti-inflammatory M2 phenotype was found to promote continued pathogenesis, suggesting that these macrophages may not be effective mediators of anti-viral immunity (Allard et al., 2018).


We found increased enrichment of lung epithelial cells as well as increased expression of the viral entry receptors ACE2 and TMPRSS2, which are expressed by these cells, exclusively in the airway of COVID-19 patients. The presence of non-hematopoietic cells such as lung epithelium in the BAL is indicative of damage to the lung tissue as dead or dying cells are being sloughed off into the airway and suggests that localized inflammation as a result of enhanced immune cell infiltration promotes significant damage to the lung tissue. Furthermore, the lack of cytotoxic cells and thus, the inability to clear these virus-infected lung epithelial cells in the airway likely accounts for the increased presence of post-activated macrophages and high expression of pro-inflammatory IL-1 family members we observed in the BAL of COVID-19 patients. However, in contrast to previous characterizations of both SARS-CoV and SARS-CoV2 infection, our analysis did not indicate the presence of overwhelming pro-inflammatory cytokine production or “cytokine storm” (Tay et al.). Rather our data suggests that the increased numbers, overactivation, and potentially heightened pathogenicity of monocyte/macrophage populations are the main drivers of the dysregulated immune response and resulting tissue damage in COVID-19 patients.


Big Data Analyses Facilitate Drug Prediction


In the absence of effective antiviral treatment and/or a SARS-CoV2-specific vaccine, disease management is reliant upon supportive care and therapeutics capable of limiting the severity of clinical manifestations. Using empirical evidence as a guide, the current approach has been successful in identifying “actionable” points of intervention in an unbiased manner and in spite of formidable patient heterogeneity. Analyses presented here support several recent reports highlighting COVID19 infection-related increases in secreted factors, particularly IL6 and TNF, both of which function as predictors of poor prognosis (Pedersen and Ho, 2020; Voiriot et al., 2017), as well as complement activation (Gao et al., 2020; Huang et al., 2020; Mehta et al., 2020). Accordingly, anti-IL6 therapies including sarilumab, tocilizumab and clazakizumab, as well as biologics targeting terminal components of the complement cascade, such as eculizumab and ravulizumab, are in various clinical trial phases for treating COVID19 associated pneumonia. Candidate TNF blockers such as adalimumab, entanercept and many others, represent additional options for inhibiting deleterious pro-inflammatory signaling. Interestingly, numerous tubulin inhibitors were identified among the complied list of drugs counteracting infection-induced genomic changes; it is therefore of note that clinical trials involving colchicine, an antimitotic drug that binds soluble tubulin, are currently underway, providing further validation for the unbiased drug-prediction methodology presented here. Our analyses also point to the likely involvement of pro-inflammatory IL1 family members especially in the lung, suggesting anti-IL1 interventions, including canakinumab and anakinra, may be effective in preventing acute lung injury.


Overall, this report establishes the predominance of inflammatory monocyte/myeloid lineage cells in driving disease pathology and suggest therapies effective at blocking myeloid cell recruitment or forcing repolarization may prevent disease progression. CCL5 (RANTES) is a potent leukocyte chemoattractant that interacts with multiple receptors, including CCR1 (upregulated in the blood, lung and airway), and CCR5 (upregulated in the airway). Disruption of the CCR5-CCL5 axis was recently tested using the CCR5 blocking monoclonal antibody leronlimab in a small compassionate use trial with promising preliminary results (Pattterson et al.). Similarly, CD74 which functions as the receptor for the pro-inflammatory cytokine macrophage migration inhibitory factor (MIF), was upregulated specifically in the lung and represents an attractive target for intervention by imalumab, an anti-MIF monoclonal antibody.


It has also been observed that COVID19 may predispose patients to thromboembolic disease (Klok et al., 2020; Middeldorp et al., 2020). Indeed, the gene expression analyses presented here showing altered expression of coagulation factors and fibrinogen genes suggests dysfunction within the intrinsic clotting pathway. These findings, together with evidence of excessive inflammation and complement activation, may contribute to the systemic coagulation underlying the remarkably high incidence of thrombotic complications observed in severely ill patients, thereby reinforcing recommendations to apply pharmacological anti-thrombotic medications.


Finally, there has been much recent discussion concerning the use of anti-rheumatic drugs for managing COVID19. In fact, chloroquine (CQ) was one compound predicted as an upstream regulator with potential phenotype-reversing properties. In vitro experiments examining the anti-viral properties of CQ and its derivative hydroxychloroquine (HCQ) were effective in limiting viral load, however the efficacy of these drugs in clinical trials has been less clear. Questions about drug timing, dosage and adverse events have all called into question the use of these drugs for COVID19 patients.


Using systems and methods of the present disclosure, a treatment may be selected for an individual based on data analyses of biological samples obtained from the individual, in order to treat or manage a COVID19 disease state or condition of the individual. For example, a targeted treatment for the blood may be selected for an individual based on data analyses of biological samples obtained from the individual, in order to treat or manage a COVID19 disease state or condition of the individual. For example, a targeted treatment for the lungs may be selected for an individual based on data analyses of biological samples obtained from the individual, in order to treat or manage a COVID19 disease state or condition of the individual. For example, a targeted treatment for the airways may be selected for an individual based on data analyses of biological samples obtained from the individual, in order to treat or manage a COVID19 disease state or condition of the individual. In some embodiments, the treatment may be selected from among a plurality of different treatments for an individual based on data analyses of biological samples obtained from the individual, in order to treat or manage a COVID19 disease state or condition of the individual.


Weighted Gene Co-Expression Network Association


DEseq2 normalized log 2 transformed RNAseq gene counts for CRA2390 and GSE147507 datasets were used as inputs to WGCNA (V1.69). Adjacency co-expression matrices for all genes in a given set were calculated by Pearson's correlation using signed network type specific formulae. Blockwise network construction was performed using a soft threshold power value of 30 in order to preserve maximal scale free topology of the networks. Resultant dendrograms of correlation networks were trimmed to isolate individual modular groups of genes, labeled using semi-random color assignments, based on a detection cut height of 1, with a merging cut height of 0.2, with the additional use of a partitioning around medoids function. The module eigenegene (ME) vector per sample was calculated as the first principle component of the module's gene expression counts. Module correlations to cohort were calculated using Pearson's r against MEs, defining modules as either positively or negatively correlated as a whole by averaging constituent sample ME correlations to cohort. The strength of module representation was established by inspecting the number of members of the disease or healthy samples contributing to the overall average ME correlation to disease state. Majority modules highly representative of their cohort were those where more than half of the cohort constituent MEs were correlated in the same direction and general scale to cohort. Quality majority modules were those with the additional requirement that the opposing cohort correlations were all running in the opposite direction. Minority quality disease state modules were considered as being more representative of genetic expressions unique to patient rather than cohort. Module membership statistics were calculated including kIM, a measurement of intramodular connectivity of each gene's expression values across samples to neighboring module genes, kME, the correlation of each gene to its containing module eigengene, and general correlation of gene expression values to cohort. Hub genes were considered as those with the highest kIMs, and as a general rule also had the highest kMEs. Complete composite module preservation statistics were calculated using WGCNA's modulePreservation function through 200 permutations of the three data sets independently tested against each other as either a reference or test set. The Z summary statistic was selected as the global index of module preservation and is a composite of seven density and connectivity preservation statistics. All constituent statistics were retained for future granular analysis. Modules were considered as moderately preserved between reference-test network pairs as those with a Z summary statistic between 5 and 10, and as highly preserved as those with a Z summary score above 10. Preservation median rank was calculated to scale module preservation to module size. Gene symbols common between moderately and highly preserved modules in each reference-test pair were selected for ensuing GSVA enrichment analysis.


MEGENA Gene Co-Expression Network Association


The MEGENA (Multiscale Embedded Gene Co-expression Network Analysis) package (v1.3.7) was applied to reconstruct co-expression networks, as described by, for example, [Won-Min Song and Bin Zhang (2018). MEGENA: Multiscale Clustering of Geometrical Network. R package version 1.3.7. CRAN.R-project.org/package=MEGENA], which is incorporated by reference herein in its entirety. The DEseq2 normalized log 2 transformed RNAseq gene counts used for WGCNA analysis were used for initial MEGENA correlation calculation. Gene expression rows with a standard deviation of less than 0.2 were discarded. The correlations between all remaining gene pairs was calculated using Pearson's correlation coefficient (φ using MEGENA's calculation correlation function. After calculation of true pairwise ρ values, a permutation procedure determined the necessary ρ value necessary to achieve a false positive rate (FPR) of 0.05. The gene expression matrix was shuffled through 10 permutations and ρ coefficient results were pooled. Gene correlations greater than an FPR of 0.05 were discarded. An FDR threshold of 15% was additionally enforced to reduce type-one errors. Thresholded FDR correlations were submitted to the MEGENA package for generation of a planar filtered network (PFN) of genes mapped to each other through network connectivity strength. Briefly, gene pairs were first ranked based on expression similarity and then iteratively tested for planarity to expand the PFN, while favoring those pairs with larger similarities. Multi-scale module structures were generated through Multiscale Clustering Analysis (MCA) by clustering initial connected components of the PFN as parent clusters, with clustering repeated in an iterative fashion down through module lineages until no meaningful descendent modules remained to split. A minimum module size of 20 genes was enforced throughout. Multiscale Hub Analysis (MHA) was performed to detect significant hubs of individual clusters and across a, characterizing different scales of organizations in the PFN with emphasis given to multiscale hubs. Significant MEGENA modules were selected that showed a significance of compactness by p<0.05. Analogous to WGCNA, Cluster-Trait Association Analysis (CTA) was performed by performing principle component analysis (PCA) on each module and correlated to cohort, with correlation significance set to Fisher's adjust p value <0.05. First-generation modules (founding members of their lineage) were examined for various cell and pathway signature gene set variation analysis (GSVA) enrichments, with significant enrichments as those with a Hedge's corrected adjusted p value <0.05. MEGENA modules were coerced into WGCNA's module preservation function and analyzed as before by considering overlapping genes from reference-test network pairs with a mutual minimum composite Z summary statistic of 5. MEGENA modules were renamed to indicate their pedigree and networks were visualized using sunburst diagrams to depict module lineages. Some sunbursts were colored using majority WGCNA color assignment to elucidate differences in module creation between the MEGENA and WGCNA approaches. Some were colored using majority cell signature enrichment to demonstrate inheritance of cell signature through module lineage, and others colored with gene expression log-fold change. Heatmaps of log 2 transformed module gene expression were inspected to establish how well modules represented their cohort, similar to majority and minority quality WGCNA modules. Heatmaps were also generated of various module GSVA cell signature enrichments to further curate modules of immunological and other interests.


Module Gene Co-Expression Network Visualization


Modules showing high enrichment of cell signatures of interest were selected for additional enrichment analysis, pathway annotation, and network visualization. Module official HGNC gene symbols were imported into Cytoscape (v3.8.0) through its STRING (v11) protein query set to a confidence score cutoff of 0.9 with zero allowed maximum additional interactions. Cytoscope is described by, for example, [Shannon P, Markiel A, Ozier O, Baliga N S, Wang J T, Ramage D, Amin N, Schwikowski B, Ideker T. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res, 13:11 (2498-504). 2003 November PubMed ID: 14597658], which is incorporated by reference herein in its entirety. String is described by, for example, [Szklarczyk D, Gable A L, Lyon D, Junge A, Wyder S, Huerta-Cepas J, Simonovic M, Doncheva N T, Morris J H, Bork P, Jensen L J, von Mering C. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 2019 January; 47:D607-613], which is incorporated by reference herein in its entirety. Edges (connections) between gene nodes were weighted as the STRING connection strengths. Genes with less than 3 connections to adjacent nodes were discarded. MCODE clustering was calculated on the whole network with a degree cutoff of 2 and clusters found allowing haircut and fluff, and some visualizations colored by MCODE cluster, as described by, for example, [Bader G D, Hogue C W. An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinformatics, 4: (2). 2003 Jan. 13. PubMed ID: 12525261], which is incorporated by reference herein in its entirety. AMPEL cell signature annotations were merged to the nodes data table and used to adjust node color, border color, and sizes to call out genes of interest. Various attribute and network cluster algorithms from the Cytoscape clusterMaker app were applied to help simplify visualizations, including GLay community clustering, as described by, for example, [Morris J H, Apeltsin L, Newman A M, Baumbach J, Wittkop T, Su G, Bader G D, Ferrin T E. clusterMaker: a multi-algorithm clustering plugin for Cytoscape. BMC Bioinformatics, 12: (436). 2011 Nov. 9. PubMed ID: 22070249], which is incorporated by reference herein in its entirety. BiNGO was used to query various GO (gene ontology) pathways to further elucidate network relations to biological processes, as described by, for example, [Maere S, Heymans K, Kuiper M. BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks. Bioinformatics, 21:16 (3448-9). 2005 Aug. 15. PubMed ID: 15972284], which is incorporated by reference herein in its entirety. Clusters from various modules were visualized together and examined for interconnectedness. Meta clusters were created by combining genes with similar functional annotation into composite nodes, with edges between them weighted as the total number of MCODE connections between constituent genes.


Derivation of Lung Tissue Cell Populations for GSVA


Nine single-cell RNA-seq lung cell populations (AT1, AT2, Ciliated, Club, Endothelial, Fibroblasts, Immuno Monocytes, Immuno T Cells, and Lymphatic Endothelium) were downloaded from the Eils Lung Tissues set (www.biorxiv.org/content/10.1101/2020.03.13.991455v3) accessed by the UC Santa Cruz Genome Browser (eils-lung.cells.ucsc.edu). Genes occurring in more than one cell type were removed. Additionally, genes known to be expressed by immune cells were removed. The Immuno Monocyte and Immuno T cell categories were not employed in further analyses.


Derivation of Co-Expressed Myeloid Subpopulations in Each Compartment


Co-expression analyses were conducted in R. Sample (control and patient) log 2 expression values for each gene of the 221 identified monocyte/myeloid cell genes in were analyzed for their Pearson correlation coefficient in each tissue compartment (PBMC, lung, BAL) using the Cor function. Of note, only 195 of 221 genes had changes in gene expression in at least one tissue by RNA-seq, and these genes are shown. Resulting correlation matrices were hierarchically clustered by their Euclidian distance into 2 clusters (k=2) using the heatmap.2 function in R. This resulted in 2 monocyte/myeloid co-expressed clusters in each compartment. The co-expressed myeloid populations in each compartment were then evaluated by GSVA.


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Table of 33 Modules









geneSymbol
geneEntrezID
GeneSet












CD160
11126
Anergic/Activated T cells


CD244
51744
Anergic/Activated T cells


CTLA4
1493
Anergic/Activated T cells


HAVCR2
84868
Anergic/Activated T cells


ICOS
29851
Anergic/Activated T cells


KLRG1
10219
Anergic/Activated T cells


LAG3
3902
Anergic/Activated T cells


PDCD1
5133
Anergic/Activated T cells


IL1RN
3557
Anti inflammation


TNFAIP3
7128
Anti inflammation


SOCS3
9021
Anti inflammation


IGHD
3495
B cells


SH3BP5
9467
B cells


BANK1
55024
B cells


BLK
640
B cells


BLNK
29760
B cells


CD19
930
B cells


CD22
933
B cells


CD79A
973
B cells


CD79B
974
B cells


DAPP1
27071
B cells


FCRL1
115350
B cells


FCRL2
79368
B cells


FCRL3
115352
B cells


FCRLA
84824
B cells


GON4L
54856
B cells


GPR183
1880
B cells


IGHM
3507
B cells


KLHL6
89857
B cells


MS4A1
931
B cells


PAX5
5079
B cells


PLCL2
23228
B cells


VPREB1
7441
B cells


ZNF318
24149
B cells


CD8A
925
CD8T-NK-NKT


CD8B
926
CD8T-NK-NKT


GZMB
3002
CD8T-NK-NKT


NKTR
4820
CD8T-NK-NKT


CD2
914
CD8T-NK-NKT


CD7
924
CD8T-NK-NKT


CRTAM
56253
CD8T-NK-NKT


GNLY
10578
CD8T-NK-NKT


GZMA
3001
CD8T-NK-NKT


GZMK
3003
CD8T-NK-NKT


GZMM
3004
CD8T-NK-NKT


HCST
10870
CD8T-NK-NKT


KIR2DL3
3804
CD8T-NK-NKT


KIR3DL1
3811
CD8T-NK-NKT


KIR3DL2
3812
CD8T-NK-NKT


KLRB1
3820
CD8T-NK-NKT


KLRC3
3823
CD8T-NK-NKT


KLRC4
8302
CD8T-NK-NKT


KLRD1
3824
CD8T-NK-NKT


NKG7
4818
CD8T-NK-NKT


RASAL3
64926
CD8T-NK-NKT


TIA1
7072
CD8T-NK-NKT


TXK
7294
CD8T-NK-NKT


BRCA1
672
Cell Cycle


ASPM
259266
Cell Cycle


AURKA
6790
Cell Cycle


AURKB
9212
Cell Cycle


CCNB1
891
Cell Cycle


CCNB2
9133
Cell Cycle


CCNE1
898
Cell Cycle


CDC20
991
Cell Cycle


CENPM
79019
Cell Cycle


CEP55
55165
Cell Cycle


E2F3
1871
Cell Cycle


GINS2
51659
Cell Cycle


MCM10
55388
Cell Cycle


MCM2
4171
Cell Cycle


MKI67
4288
Cell Cycle


NCAPG
64151
Cell Cycle


NDC80
10403
Cell Cycle


PTTG1
9232
Cell Cycle


TYMS
7298
Cell Cycle


GZMB
3002
Cytotoxic, Activated T cells


TAGAP
117289
Cytotoxic, Activated T cells


CD69
969
Cytotoxic, Activated T cells


EOMES
8320
Cytotoxic, Activated T cells


GZMH
2999
Cytotoxic, Activated T cells


IFNG
3458
Cytotoxic, Activated T cells


IL2RB
3560
Cytotoxic, Activated T cells


PRF1
5551
Cytotoxic, Activated T cells


SGK1
6446
Cytotoxic, Activated T cells


TBX21
30009
Cytotoxic, Activated T cells


TFRC
7037
Cytotoxic, Activated T cells


ZNF683
257101
Cytotoxic, Activated T cells


CLEC12A
160364
Dendritic


CLEC10A
10462
Dendritic


CLEC9A
283420
Dendritic


CSF1R
1436
Dendritic


IGIP
492311
Dendritic


LILRA4
23547
Dendritic


LY75
4065
Dendritic


XCR1
2829
Dendritic


EPO
2056
Erythrocytes


GFI1B
8328
Erythrocytes


GYPA
2993
Erythrocytes


GYPB
2994
Erythrocytes


GYPE
2996
Erythrocytes


ICAM4
3386
Erythrocytes


NFE2
4778
Erythrocytes


SLC4A1
6521
Erythrocytes


TRIM10
10107
Erythrocytes


TSPO2
222642
Erythrocytes


ZNF367
195828
Erythrocytes


CXCR2
3579
Granulocyte


CD177
57126
Granulocyte


CLC
1178
Granulocyte


CTSS
1520
Granulocyte


DEFA1
1667
Granulocyte


FUT7
2529
Granulocyte


LTB4R
1241
Granulocyte


MMP25
64386
Granulocyte


OSM
5008
Granulocyte


RETN
56729
Granulocyte


GBP1
2633
IFN


IFI44
10561
IFN


MX1
4599
IFN


NAMPT
10135
IFN


NKTR
4820
IFN


NR3C1
2908
IFN


OAS3
4940
IFN


PATJ
10207
IFN


TAP2
6891
IFN


TNFRSF11A
8792
IFN


FASLG
356
IFN


WT1
7490
IFN


EIF2AK2
5610
IFN


GBP2
2634
IFN


GBP4
115361
IFN


HERC5
51191
IFN


HERC6
55008
IFN


IFI27
3429
IFN


IFI30
10437
IFN


IFI35
3430
IFN


IFI44L
10964
IFN


IFI6
2537
IFN


IFIT1
3434
IFN


IFIT2
3433
IFN


IFIT3
3437
IFN


IFIT5
24138
IFN


IFITM1
8519
IFN


IFITM2
10581
IFN


IFITM3
10410
IFN


ISG15
9636
IFN


ISG20
3669
IFN


MX2
4600
IFN


NFE2L3
9603
IFN


NMI
9111
IFN


NUB1
51667
IFN


NUPR1
26471
IFN


OAS1
4938
IFN


OAS2
4939
IFN


OASL
8638
IFN


PDGFB
5155
IFN


PDGFRL
5157
IFN


PKD2
5311
IFN


PLSCR1
5359
IFN


PMAIP1
5366
IFN


PML
5371
IFN


PRKRA
8575
IFN


PSMB9
5698
IFN


PTCH1
5727
IFN


RBCK1
10616
IFN


RGS1
5996
IFN


RGS6
9628
IFN


RSAD2
91543
IFN


RTP4
64108
IFN


SAMD9
54809
IFN


SAMD9L
219285
IFN


SAT1
6303
IFN


SCARB2
950
IFN


SERPING1
710
IFN


SIT1
27240
IFN


SOCS1
8651
IFN


SP100
6672
IFN


SP110
3431
IFN


SP140
11262
IFN


SPIB
6689
IFN


ST3GAL5
8869
IFN


STAP1
26228
IFN


STAT1
6772
IFN


STAT2
6773
IFN


STX11
8676
IFN


SUPT3H
8464
IFN


TAP1
6890
IFN


TARBP1
6894
IFN


TCN2
6948
IFN


TFDP2
7029
IFN


TGM1
7051
IFN


TLR3
7098
IFN


TLR7
51284
IFN


TNFSF10
8743
IFN


TNK2
10188
IFN


TOR1B
27348
IFN


TRA2B
6434
IFN


TRD
6964
IFN


TRIM21
6737
IFN


TRIM22
10346
IFN


TRIM34
53840
IFN


TRIM38
10475
IFN


UBA7
7318
IFN


UBE2L6
9246
IFN


UBE2S
27338
IFN


UNC93B1
81622
IFN


USP18
11274
IFN


WARS
7453
IFN


XAF1
54739
IFN


IGHG1
3500
IG CHAINS


IGHV2-5
28457
IG CHAINS


IGHV3-20
28445
IG CHAINS


IGHV3-23
28442
IG CHAINS


IGHV4-28
28400
IG CHAINS


IGHV4-34
28395
IG CHAINS


IGKC
3514
IG CHAINS


IGLV1-40
28825
IG CHAINS


IGLV3-1
28809
IG CHAINS


IGLV3-19
28797
IG CHAINS


IGLV3-25
28793
IG CHAINS


IGLV4-3
28786
IG CHAINS


IGLV4-60
28785
IG CHAINS


IGLV5-45
28781
IG CHAINS


IGLV6-57
28778
IG CHAINS


IGLVI-70
28763
IG CHAINS


IGHA1
3493
IG CHAINS


IGHA2
3494
IG CHAINS


IGHD2-15
28503
IG CHAINS


IGHD2-2
28505
IG CHAINS


IGHD2-21
28502
IG CHAINS


IGHD3-10
28499
IG CHAINS


IGHD3-16
28498
IG CHAINS


IGHD3-3
28501
IG CHAINS


IGHD3-9
28500
IG CHAINS


IGHG2
3501
IG CHAINS


IGHG3
3502
IG CHAINS


IGHG4
3503
IG CHAINS


IGHJ1
28483
IG CHAINS


IGHJ2
28481
IG CHAINS


IGHJ3
28479
IG CHAINS


IGHJ4
28477
IG CHAINS


IGHJ5
28476
IG CHAINS


IGHJ6
28475
IG CHAINS


IGHV1-18
28468
IG CHAINS


IGHV1-2
28474
IG CHAINS


IGHV1-24
28467
IG CHAINS


IGHV1-3
28473
IG CHAINS


IGHV1-45
28466
IG CHAINS


IGHV1-46
28465
IG CHAINS


IGHV1-58
28464
IG CHAINS


IGHV1-69-2
28458
IG CHAINS


IGHV2-26
28455
IG CHAINS


IGHV2-70
28454
IG CHAINS


IGHV3-13
28449
IG CHAINS


IGHV3-15
28448
IG CHAINS


IGHV3-21
28444
IG CHAINS


IGHV3-33
28434
IG CHAINS


IGHV3-43
28426
IG CHAINS


IGHV3-48
28424
IG CHAINS


IGHV3-49
28423
IG CHAINS


IGHV3-53
28420
IG CHAINS


IGHV3-62
28416
IG CHAINS


IGHV3-64
28414
IG CHAINS


IGHV3-7
28452
IG CHAINS


IGHV3-72
28410
IG CHAINS


IGHV3-73
28409
IG CHAINS


IGHV3-74
28408
IG CHAINS


IGHV4-30-2
28398
IG CHAINS


IGHV4-39
28394
IG CHAINS


IGHV4-59
28392
IG CHAINS


IGHV4-61
28391
IG CHAINS


IGHV5-51
28388
IG CHAINS


IGHV6-1
28385
IG CHAINS


IGHV7-81
28378
IG CHAINS


IGKJ1
28950
IG CHAINS


IGKJ2
28949
IG CHAINS


IGKJ3
28948
IG CHAINS


IGKJ4
28947
IG CHAINS


IGKJ5
28946
IG CHAINS


IGKV1-16
28938
IG CHAINS


IGKV1-17
28937
IG CHAINS


IGKV1-27
28935
IG CHAINS


IGKV1-5
28299
IG CHAINS


IGKV1-6
28943
IG CHAINS


IGKV1-9
28941
IG CHAINS


IGKV1D-16
28901
IG CHAINS


IGKV1D-17
28900
IG CHAINS


IGKV1D-43
28891
IG CHAINS


IGKV1D-8
28904
IG CHAINS


IGKV2-24
28923
IG CHAINS


IGKV2D-26
28884
IG CHAINS


IGKV2D-29
28882
IG CHAINS


IGKV2D-30
28881
IG CHAINS


IGKV3-20
28912
IG CHAINS


IGKV3D-20
28874
IG CHAINS


IGKV3D-7
28877
IG CHAINS


IGKV4-1
28908
IG CHAINS


IGKV5-2
28907
IG CHAINS


IGLC2
3538
IG CHAINS


IGLC7
28834
IG CHAINS


IGLJ6
28828
IG CHAINS


IGLV10-54
28772
IG CHAINS


IGLV1-36
28826
IG CHAINS


IGLV1-47
28822
IG CHAINS


IGLV2-11
28816
IG CHAINS


IGLV2-18
28814
IG CHAINS


IGLV2-23
28813
IG CHAINS


IGLV2-33
28811
IG CHAINS


IGLV2-8
28817
IG CHAINS


IGLV3-10
28803
IG CHAINS


IGLV3-12
28802
IG CHAINS


IGLV3-16
28799
IG CHAINS


IGLV3-21
28796
IG CHAINS


IGLV3-27
28791
IG CHAINS


IGLV3-32
28787
IG CHAINS


IGLV4-69
28784
IG CHAINS


IGLV5-37
28783
IG CHAINS


IGLV7-43
28776
IG CHAINS


IGLV8-61
28774
IG CHAINS


IGLV9-49
28773
IG CHAINS


IL18
3606
IL1 cytokines


IL1B
3553
IL1 cytokines


CASP1
834
Inflammasome


AIM2
9447
Inflammasome


CASP5
838
Inflammasome


CTSB
1508
Inflammasome


GSDMB
55876
Inflammasome


GSDMD
79792
Inflammasome


NAIP
4671
Inflammasome


NEK7
140609
Inflammasome


NLRC4
58484
Inflammasome


NLRP1
22861
Inflammasome


NLRP3
114548
Inflammasome


NOD2
64127
Inflammasome


P2RX7
5027
Inflammasome


PANX1
24145
Inflammasome


PYCARD
29108
Inflammasome


RIPK1
8737
Inflammasome


AZU1
566
LDG


CAMP
820
LDG


CEACAM6
4680
LDG


CEACAM8
1088
LDG


CTSG
1511
LDG


DEFA4
1669
LDG


ELANE
1991
LDG


LCN2
3934
LDG


LTF
4057
LDG


MPO
4353
LDG


OLFM4
10562
LDG


RNASE3
6037
LDG


HLA-DMA
3108
MHC II


HLA-DMB
3109
MHC II


HLA-DPA1
3113
MHC II


HLA-DPB1
3115
MHC II


HLA-DPB2
3116
MHC II


HLA-DQA1
3117
MHC II


HLA-DQA2
3118
MHC II


HLA-DQB1
3119
MHC II


HLA-DQB2
3120
MHC II


HLA-DRA
3122
MHC II


HLA-DRB1
3123
MHC II


HLA-DRB3
3125
MHC II


HLA-DRB4
3126
MHC II


HLA-DRB5
3127
MHC II


HLA-DRB6
3128
MHC II


C1QA
712
Mono Secreted


C1QB
713
Mono Secreted


C1QC
714
Mono Secreted


C1RL
51279
Mono Secreted


CCL2
6347
Mono Secreted


CCL8
6355
Mono Secreted


CXCL1
2919
Mono Secreted


CXCL2
2920
Mono Secreted


GRN
2896
Mono Secreted


IK
3550
Mono Secreted


IL18RAP
8807
Mono Secreted


IL1B
3553
Mono Secreted


IL1RN
3557
Mono Secreted


S100A8
6279
Mono Secreted


THBD
7056
Mono Secreted


TNF
7124
Mono Secreted


CXCL10
3627
Mono Secreted


CD14
929
Monocyte Cell Surface


CD300C
10871
Monocyte Cell Surface


CD33
945
Monocyte Cell Surface


CD68
968
Monocyte Cell Surface


CLEC12A
160364
Monocyte Cell Surface


CLEC4D
338339
Monocyte Cell Surface


CLEC4E
26253
Monocyte Cell Surface


FCGR1A
2209
Monocyte Cell Surface


FCGR1B
2210
Monocyte Cell Surface


FCGR3B
2215
Monocyte Cell Surface


LILRA5
353514
Monocyte Cell Surface


LILRA6
79168
Monocyte Cell Surface


LILRB2
10288
Monocyte Cell Surface


LILRB3
11025
Monocyte Cell Surface


OSCAR
126014
Monocyte Cell Surface


SEMA4A
64218
Monocyte Cell Surface


SIGLEC1
6614
Monocyte Cell Surface


C1QA
712
Monocytes


C1QB
713
Monocytes


C1QC
714
Monocytes


C1RL
51279
Monocytes


CCL2
6347
Monocytes


CCL8
6355
Monocytes


CD14
929
Monocytes


CD300C
10871
Monocytes


CD33
945
Monocytes


CD68
968
Monocytes


CLEC12A
160364
Monocytes


CLEC4D
338339
Monocytes


CLEC4E
26253
Monocytes


CXCL1
2919
Monocytes


CXCL2
2920
Monocytes


CXCR2
3579
Monocytes


FCGR1A
2209
Monocytes


FCGR1B
2210
Monocytes


FCGR1B
2215
Monocytes


GRN
2896
Monocytes


IK
3550
Monocytes


IL18RAP
8807
Monocytes


IL1B
3553
Monocytes


IL1RN
3557
Monocytes


LILRA5
353514
Monocytes


LILRA6
79168
Monocytes


LILRB2
10288
Monocytes


LILRB3
11025
Monocytes


OSCAR
126014
Monocytes


S100A8
6279
Monocytes


SEMA4A
64218
Monocytes


SIGLEC1
6614
Monocytes


THBD
7056
Monocytes


BST1
683
Monocytes


C1R
715
Monocytes


CD163
9332
Monocytes


CSF2
1437
Monocytes


FUT4
2526
Monocytes


MNDA
4332
Monocytes


MRC1
4360
Monocytes


KLRF1
51348
NK


NCAM1
4684
NK


NCR1
9437
NK


NCR3
259197
NK


SH2D1B
117157
NK


CLEC4C
170482
pDC


NRP1
8829
pDC


IGHV4-28
28400
Plasma Cells


IGHV4-34
28395
Plasma Cells


IGHD
3495
Plasma Cells


IGHG1
3500
Plasma Cells


IGHV2-5
28457
Plasma Cells


IGHV3-20
28445
Plasma Cells


IGHV3-23
28442
Plasma Cells


IGKC
3514
Plasma Cells


IGLV1-40
28825
Plasma Cells


IGLV3-1
28809
Plasma Cells


IGLV3-19
28797
Plasma Cells


IGLV3-25
28793
Plasma Cells


IGLV4-3
28786
Plasma Cells


IGLV4-60
28785
Plasma Cells


IGLV5-45
28781
Plasma Cells


IGLV6-57
28778
Plasma Cells


IGLVI-70
28763
Plasma Cells


C19orf10
56005
Plasma Cells


IGH
3492
Plasma Cells


IGHMBP2
3508
Plasma Cells


IGHV4-31
28396
Plasma Cells


IGK
50802
Plasma Cells


IGL
3535
Plasma Cells


IGLJ3
28831
Plasma Cells


IGLL1
3543
Plasma Cells


IGLV@
3546
Plasma Cells


IGLV1-44
28823
Plasma Cells


IGLV2-14
28815
Plasma Cells


IGLV2-5
28818
Plasma Cells


MZB1
51237
Plasma Cells


PRDM1
639
Plasma Cells


SDC1
6382
Plasma Cells


THEMIS2
9473
Plasma Cells


TNFRSF17
608
Plasma Cells


GP1BA
2811
Platelets


GP5
2814
Platelets


GP6
51206
Platelets


GP9
2815
Platelets


LY6G6D
58530
Platelets


MMRN1
22915
Platelets


PEAR1
375033
Platelets


PF4
5196
Platelets


PF4V1
5197
Platelets


PPBP
5473
Platelets


SLC35D3
340146
Platelets


RNU4ATAC
100151683
SNOR LOW Down


SNORA11
677799
SNOR LOW Down


SNORA16A
692073
SNOR LOW Down


SNORA23
677808
SNOR LOW Down


SNORA38B
100124536
SNOR LOW Down


SNORA73A
6080
SNOR LOW Down


SNORA73B
26768
SNOR LOW Down


FCGR1A
2209
SNOR LOW Up


CEACAM1
634
SNOR LOW Up


LGALS1
3956
SNOR LOW Up


SNORD24
26820
SNOR LOW Up


SNORD44
26806
SNOR LOW Up


SNORD47
26802
SNOR LOW Up


SNORD80
26774
SNOR LOW Up


CD8A
925
T Cells


CD8B
926
T Cells


TRDC
28526
T Cells


CCR3
1232
T Cells


CD226
10666
T Cells


CD247
919
T Cells


CD28
940
T Cells


CD3D
915
T Cells


CD3E
916
T Cells


CD3G
917
T Cells


CD4
920
T Cells


CD5
921
T Cells


ETS1
2113
T Cells


GATA3
2625
T Cells


GRAP2
9402
T Cells


LEF1
51176
T Cells


SH2D1A
4068
T Cells


TRAC
28755
T Cells


TRBC1
28639
T Cells


FOXP3
50943
T reg


IKZF2
22807
T reg


FAS LG
356
Tactivated


TAGAP
117289
Tactivated


CD40LG
959
Tactivated


CREM
1390
Tactivated


IL17A
3605
Tactivated


IL17F
112744
Tactivated


IL23R
149233
Tactivated


JAKMIP1
152789
Tactivated


KCNA3
3738
Tactivated


KCNN4
3783
Tactivated


P2RX5
5026
Tactivated


PRKCQ
5588
Tactivated


RELT
84957
Tactivated


RNF125
54941
Tactivated


SATB1
6304
Tactivated


TNFRSF4
7293
Tactivated


TNFRSF9
3604
Tactivated


TRAV10
28676
TCRA


TRAV1-1
28693
TCRA


TRAV1-2
28692
TCRA


TRAV12-1
28674
TCRA


TRAV12-2
28673
TCRA


TRAV12-3
28672
TCRA


TRAV13-1
28671
TCRA


TRAV13-2
28670
TCRA


TRAV14DV4
28669
TCRA


TRAV16
28667
TCRA


TRAV17
28666
TCRA


TRAV18
28665
TCRA


TRAV19
28664
TCRA


TRAV2
28691
TCRA


TRAV20
28663
TCRA


TRAV21
28662
TCRA


TRAV22
28661
TCRA


TRAV23DV6
28660
TCRA


TRAV24
28659
TCRA


TRAV25
28658
TCRA


TRAV26-1
28657
TCRA


TRAV26-2
28656
TCRA


TRAV27
28655
TCRA


TRAV29DV5
28653
TCRA


TRAV3
28690
TCRA


TRAV30
28652
TCRA


TRAV34
28648
TCRA


TRAV35
28647
TCRA


TRAV36DV7
28646
TCRA


TRAV38-1
28644
TCRA


TRAV38-
28643
TCRA


2DV8




TRAV39
28642
TCRA


TRAV4
28689
TCRA


TRAV40
28641
TCRA


TRAV41
28640
TCRA


TRAV5
28688
TCRA


TRAV7
28686
TCRA


TRAV8-1
28685
TCRA


TRAV8-2
28684
TCRA


TRAV8-3
28683
TCRA


TRAV8-4
28682
TCRA


TRAV8-6
28680
TCRA


TRAV8-7
28679
TCRA


TRAV9-1
28678
TCRA


TRAV9-2
28677
TCRA


TRAJ10
28745
TCRAJ


TRAJ11
28744
TCRAJ


TRAJ12
28743
TCRAJ


TRAJ13
28742
TCRAJ


TRAJ14
28741
TCRAJ


TRAJ15
28740
TCRAJ


TRAJ16
28739
TCRAJ


TRAJ17
28738
TCRAJ


TRAJ18
28737
TCRAJ


TRAJ19
28736
TCRAJ


TRAJ20
28735
TCRAJ


TRAJ21
28734
TCRAJ


TRAJ22
28733
TCRAJ


TRAJ23
28732
TCRAJ


TRAJ24
28731
TCRAJ


TRAJ25
28730
TCRAJ


TRAJ26
28729
TCRAJ


TRAJ27
28728
TCRAJ


TRAJ28
28727
TCRAJ


TRAJ29
28726
TCRAJ


TRAJ3
28752
TCRAJ


TRAJ30
28725
TCRAJ


TRAJ31
28724
TCRAJ


TRAJ32
28723
TCRAJ


TRAJ33
28722
TCRAJ


TRAJ34
28721
TCRAJ


TRAJ35
28720
TCRAJ


TRAJ36
28719
TCRAJ


TRAJ37
28718
TCRAJ


TRAJ38
28717
TCRAJ


TRAJ39
28716
TCRAJ


TRAJ4
28751
TCRAJ


TRAJ40
28715
TCRAJ


TRAJ41
28714
TCRAJ


TRAJ42
28713
TCRAJ


TRAJ43
28712
TCRAJ


TRAJ44
28711
TCRAJ


TRAJ45
28710
TCRAJ


TRAJ46
28709
TCRAJ


TRAJ47
28708
TCRAJ


TRAJ48
28707
TCRAJ


TRAJ49
28706
TCRAJ


TRAJ5
28750
TCRAJ


TRAJ50
28705
TCRAJ


TRAJ52
28703
TCRAJ


TRAJ53
28702
TCRAJ


TRAJ54
28701
TCRAJ


TRAJ56
28699
TCRAJ


TRAJ57
28698
TCRAJ


TRAJ58
28697
TCRAJ


TRAJ59
28696
TCRAJ


TRAJ6
28749
TCRAJ


TRAJ61
28694
TCRAJ


TRAJ7
28748
TCRAJ


TRAJ8
28747
TCRAJ


TRAJ9
28746
TCRAJ


TRBC2
28638
TCRB


TRBJ2-1
28629
TCRB


TRBJ2-2
28628
TCRB


TRBJ2-2P
28627
TCRB


TRBJ2-3
28626
TCRB


TRBJ2-4
28625
TCRB


TRBJ2-5
28624
TCRB


TRBJ2-6
28623
TCRB


TRBJ2-7
28622
TCRB


TRBV1
28621
TCRB


TRBV10-1
28585
TCRB


TRBV10-2
28584
TCRB


TRBV11-1
28582
TCRB


TRBV11-2
28581
TCRB


TRBV19
28568
TCRB


TRBV2
28620
TCRB


TRBV20-1
28567
TCRB


TRBV21-1
28566
TCRB


TRBV23-1
28564
TCRB


TRBV24-1
28563
TCRB


TRBV25-1
28562
TCRB


TRBV27
28560
TCRB


TRBV28
28559
TCRB


TRBV3-1
28619
TCRB


TRBV4-1
28617
TCRB


TRBV4-2
28616
TCRB


TRBV5-1
28614
TCRB


TRBV5-3
28612
TCRB


TRBV5-4
28611
TCRB


TRBV5-5
28610
TCRB


TRBV5-6
28609
TCRB


TRBV5-7
28608
TCRB


TRBV6-1
28606
TCRB


TRBV6-4
28603
TCRB


TRBV6-5
28602
TCRB


TRBV6-6
28601
TCRB


TRBV6-7
28600
TCRB


TRBV6-8
28599
TCRB


TRBV7-1
28597
TCRB


TRBV7-3
28595
TCRB


TRBV7-4
28594
TCRB


TRBV7-5
28593
TCRB


TRBV7-6
28592
TCRB


TRBV7-7
28591
TCRB


TRBV9
28586
TCRB


TRDC
28526
TCRD


TRDJ1
28522
TCRD


TRDJ2
28521
TCRD


TRDJ3
28520
TCRD


TRDJ4
28519
TCRD


TRDV1
28518
TCRD


TRDV2
28517
TCRD


TRDV3
28516
TCRD


TRGC2
6967
TCRG


TRGV1
6973
TCRG


TRGV10
6984
TCRG


TRGV11
6985
TCRG


TRGV2
6974
TCRG


TRGV3
6976
TCRG


TRGV4
6977
TCRG


TRGV5
6978
TCRG


TRGV7
6981
TCRG


TRGV8
6982
TCRG


TRGV9
6983
TCRG


BRCA1
672
TNF_Waddel Up


CASP1
834
TNF_Waddel Up


CXCL1
2919
TNF_Waddel Up


CXCL2
2920
TNF_Waddel Up


GBP1
2633
TNF_Waddel Up


GP1BA
2811
TNF_Waddel Up


IFI44
10561
TNF_Waddel Up


IL18
3606
TNF_Waddel Up


IL1B
3553
TNF_Waddel Up


IL1RN
3557
TNF_Waddel Up


MX1
4599
TNF_Waddel Up


NAMPT
10135
TNF_Waddel Up


NR3C1
2908
TNF_Waddel Up


OAS3
4940
TNF_Waddel Up


PATJ
10207
TNF_Waddel Up


SH3BP5
9467
TNF_Waddel Up


TAP2
6891
TNF_Waddel Up


TNF
7124
TNF_Waddel Up


TNFAIP3
7128
TNF_Waddel Up


TNFRSF11A
8792
TNF_Waddel Up


WT1
7490
TNF_Waddel Up


ACLY
47
TNF_Waddel Up


ACSL1
2180
TNF_Waddel Up


ADGRE2
30817
TNF_Waddel Up


AK3
50808
TNF_Waddel Up


AKAP10
11216
TNF_Waddel Up


AMPD3
272
TNF_Waddel Up


APOL3
80833
TNF_Waddel Up


ARID3A
1820
TNF_Waddel Up


ARSE
415
TNF_Waddel Up


ASAP1
50807
TNF_Waddel Up


B4GALT5
9334
TNF_Waddel Up


BCL2A1
597
TNF_Waddel Up


BHLHE41
79365
TNF_Waddel Up


BHMT
635
TNF_Waddel Up


BIRC3
330
TNF_Waddel Up


CALD1
800
TNF_Waddel Up


CASP10
843
TNF_Waddel Up


CCL15
6359
TNF_Waddel Up


CCL20
6364
TNF_Waddel Up


CCL23
6368
TNF_Waddel Up


CCL3L1
6349
TNF_Waddel Up


CD37
951
TNF_Waddel Up


CD38
952
TNF_Waddel Up


CD83
9308
TNF_Waddel Up


CDKN3
1033
TNF_Waddel Up


CKB
1152
TNF_Waddel Up


CR2
1380
TNF_Waddel Up


CTNND2
1501
TNF_Waddel Up


CXCL3
2921
TNF_Waddel Up


CXCL8
3576
TNF_Waddel Up


CYP27B1
1594
TNF_Waddel Up


DAB2
1601
TNF_Waddel Up


EBI3
10148
TNF_Waddel Up


EGR1
1958
TNF_Waddel Up


EGR2
1959
TNF_Waddel Up


EPB41
2035
TNF_Waddel Up


EREG
2069
TNF_Waddel Up


ETAA1
54465
TNF_Waddel Up


F3
2152
TNF_Waddel Up


FABP1
2168
TNF_Waddel Up


FBXL2
25827
TNF_Waddel Up


FCER2
2208
TNF_Waddel Up


FCGR2A
2212
TNF_Waddel Up


FLJ11129
54674
TNF_Waddel Up


FLNA
2316
TNF_Waddel Up


G0S2
50486
TNF_Waddel Up


GCH1
2643
TNF_Waddel Up


GJB2
2706
TNF_Waddel Up


GLS
2744
TNF_Waddel Up


GMIP
51291
TNF_Waddel Up


GRK3
157
TNF_Waddel Up


HCAR3
8843
TNF_Waddel Up


HHEX
3087
TNF_Waddel Up


HOMER2
9455
TNF_Waddel Up


HP
3240
TNF_Waddel Up


ICAM1
3383
TNF_Waddel Up


IDO1
3620
TNF_Waddel Up


IKBKG
8517
TNF_Waddel Up


IL16
3603
TNF_Waddel Up


IL1A
3552
TNF_Waddel Up


IL6
3569
TNF_Waddel Up


INHBA
3624
TNF_Waddel Up


INSIG1
3638
TNF_Waddel Up


ITGA6
3655
TNF_Waddel Up


KITLG
4254
TNF_Waddel Up


KLF1
10661
TNF_Waddel Up


KMO
8564
TNF_Waddel Up


LGALS3BP
3959
TNF_Waddel Up


MAP3K4
4216
TNF_Waddel Up


MARCKS
4082
TNF_Waddel Up


MGLL
11343
TNF_Waddel Up


MMP19
4327
TNF_Waddel Up


MN1
4330
TNF_Waddel Up


MRPS15
64960
TNF_Waddel Up


MSC
9242
TNF_Waddel Up


MTF1
4520
TNF_Waddel Up


NELL2
4753
TNF_Waddel Up


NFKB1
4790
TNF_Waddel Up


NFKB2
4791
TNF_Waddel Up


NFKBIA
4792
TNF_Waddel Up


NFKBIZ
64332
TNF_Waddel Up


NKX3-2
579
TNF_Waddel Up


PDE4DIP
9659
TNF_Waddel Up


PDPN
10630
TNF_Waddel Up


PIAS4
51588
TNF_Waddel Up


PLAUR
5329
TNF_Waddel Up


PTGES
9536
TNF_Waddel Up


PTGS2
5743
TNF_Waddel Up


RELB
5971
TNF_Waddel Up


RPGR
6103
TNF_Waddel Up


RPS9
6203
TNF_Waddel Up


SDC4
6385
TNF_Waddel Up


SERPIND1
3053
TNF_Waddel Up


SFRP1
6422
TNF_Waddel Up


SLAMF1
6504
TNF_Waddel Up


SLC30A4
7782
TNF_Waddel Up


SOD2
6648
TNF_Waddel Up


SPI1
6688
TNF_Waddel Up


SSPN
8082
TNF_Waddel Up


STAT4
6775
TNF_Waddel Up


TAF15
8148
TNF_Waddel Up


TBX3
6926
TNF_Waddel Up


TFF1
7031
TNF_Waddel Up


TNFAIP2
7127
TNF_Waddel Up


TRAF1
7185
TNF_Waddel Up


TSC22D1
8848
TNF_Waddel Up


TYROBP
7305
TNF_Waddel Up


UBE2C
11065
TNF_Waddel Up


VEGFA
7422
TNF_Waddel Up


B4GALT3
8703
Unfolded Protein


CALR
811
Unfolded Protein


CALU
813
Unfolded Protein


CANX
821
Unfolded Protein


CDS2
8760
Unfolded Protein


CHST12
55501
Unfolded Protein


CHST2
9435
Unfolded Protein


DERL1
79139
Unfolded Protein


DERL2
51009
Unfolded Protein


DNAJC3
5611
Unfolded Protein


EDEM2
55741
Unfolded Protein


EDEM3
80267
Unfolded Protein


EMC9
51016
Unfolded Protein


ERAP1
51752
Unfolded Protein


ERGIC2
51290
Unfolded Protein


ERO1L
30001
Unfolded Protein


EXT1
2131
Unfolded Protein


GALNT2
2590
Unfolded Protein


GOLT1B
51026
Unfolded Protein


HERPUD1
9709
Unfolded Protein


HYOU1
10525
Unfolded Protein


IER3IP1
51124
Unfolded Protein


IMPAD1
54928
Unfolded Protein


KDELC1
79070
Unfolded Protein


KDELR2
11014
Unfolded Protein


LMAN2
10960
Unfolded Protein


LPGAT1
9926
Unfolded Protein


MAN1A1
4121
Unfolded Protein


MANEA
79694
Unfolded Protein


MANF
7873
Unfolded Protein


NUCB2
4925
Unfolded Protein


PDIA4
9601
Unfolded Protein


PDIA6
10130
Unfolded Protein


PIGK
10026
Unfolded Protein


PPIB
5479
Unfolded Protein


SEC24D
9871
Unfolded Protein


SEC61G
23480
Unfolded Protein


SPCS3
60559
Unfolded Protein


SSR1
6745
Unfolded Protein


SSR3
6747
Unfolded Protein


TRAM1
23471
Unfolded Protein


TRAM2
9697
Unfolded Protein


UGGT1
56886
Unfolded Protein


XBP1
7494
Unfolded Protein


APP
351
NLRP3 Inflammasome


ATAT1
79969
NLRP3 Inflammasome


CARD8
22900
NLRP3 Inflammasome


CASP1
834
NLRP3 Inflammasome


CASP4
837
NLRP3 Inflammasome


CD36
948
NLRP3 Inflammasome


CPTP
80772
NLRP3 Inflammasome


DHX33
56919
NLRP3 Inflammasome


EIF2AK2
5610
NLRP3 Inflammasome


GBP5
115362
NLRP3 Inflammasome


GSDMD
79792
NLRP3 Inflammasome


HSP90AB1
3326
NLRP3 Inflammasome


MEFV
4210
NLRP3 Inflammasome


NFKB1
4790
NLRP3 Inflammasome


NFKB2
4791
NLRP3 Inflammasome


NLRC3
197358
NLRP3 Inflammasome


NLRP3
114548
NLRP3 Inflammasome


P2RX7
5027
NLRP3 Inflammasome


PANX1
24145
NLRP3 Inflammasome


PSTPIP1
9051
NLRP3 Inflammasome


PYCARD
29108
NLRP3 Inflammasome


PYDC2
152138
NLRP3 Inflammasome


RELA
5970
NLRP3 Inflammasome


SIRT2
22933
NLRP3 Inflammasome


SUGT1
10910
NLRP3 Inflammasome


TLR4
7099
NLRP3 Inflammasome


TLR6
10333
NLRP3 Inflammasome


TXN
7295
NLRP3 Inflammasome


TXNIP
10628
NLRP3 Inflammasome


USP50
373509
NLRP3 Inflammasome


C1QA
712
Classical Complement Pathway


C1QB
713
Classical Complement Pathway


C1QC
714
Classical Complement Pathway


C1R
715
Classical Complement Pathway


C1S
716
Classical Complement Pathway


C2
717
Classical Complement Pathway


C3
718
Classical Complement Pathway


C4A
720
Classical Complement Pathway


C4B
721
Classical Complement Pathway


C4B_2
100293534
Classical Complement Pathway


C5
727
Classical Complement Pathway


C6
729
Classical Complement Pathway


C7
730
Classical Complement Pathway


C8A
731
Classical Complement Pathway


C9
735
Classical Complement Pathway


C3
718
Alternative Complement Pathway


C5
727
Alternative Complement Pathway


C6
729
Alternative Complement Pathway


C7
730
Alternative Complement Pathway


C8A
731
Alternative Complement Pathway


C9
735
Alternative Complement Pathway


CFB
629
Alternative Complement Pathway


CFD
1675
Alternative Complement Pathway


CFH
3075
Alternative Complement Pathway


CFHR5
81494
Alternative Complement Pathway


CFP
5199
Alternative Complement Pathway


CR1
1378
Alternative Complement Pathway


GZMM
3004
Alternative Complement Pathway


MIR520B
574473
Alternative Complement Pathway


MIR520E
574461
Alternative Complement Pathway


VSIG4
11326
Alternative Complement Pathway


A2M
2
Lectin-Induced Complement Pathway


C2
717
Lectin-Induced Complement Pathway


C3
718
Lectin-Induced Complement Pathway


C4A
720
Lectin-Induced Complement Pathway


C4B
721
Lectin-Induced Complement Pathway


C4B_2
100293534
Lectin-Induced Complement Pathway


C5
727
Lectin-Induced Complement Pathway


C6
729
Lectin-Induced Complement Pathway


C7
730
Lectin-Induced Complement Pathway


C8A
731
Lectin-Induced Complement Pathway


C9
735
Lectin-Induced Complement Pathway


COLEC10
10584
Lectin-Induced Complement Pathway


COLEC11
78989
Lectin-Induced Complement Pathway


FCN1
2219
Lectin-Induced Complement Pathway


FCN2
2220
Lectin-Induced Complement Pathway


FCN3
8547
Lectin-Induced Complement Pathway


KRT1
3848
Lectin-Induced Complement Pathway


MASP1
5648
Lectin-Induced Complement Pathway


MASP2
10747
Lectin-Induced Complement Pathway


MBL2
4153
Lectin-Induced Complement Pathway


SERPING1
710
Lectin-Induced Complement Pathway



















Table of NLRP3 Inflamm and Complement









geneSymbol
geneEntrezID
GeneSet












APP
351
NLRP3 Inflammasome


ATAT1
79969
NLRP3 Inflammasome


CARD8
22900
NLRP3 Inflammasome


CASP1
834
NLRP3 Inflammasome


CASP4
837
NLRP3 Inflammasome


CD36
948
NLRP3 Inflammasome


CPTP
80772
NLRP3 Inflammasome


DHX33
56919
NLRP3 Inflammasome


EIF2AK2
5610
NLRP3 Inflammasome


GBP5
115362
NLRP3 Inflammasome


GSDMD
79792
NLRP3 Inflammasome


HSP90AB1
3326
NLRP3 Inflammasome


MEFV
4210
NLRP3 Inflammasome


NFKB1
4790
NLRP3 Inflammasome


NFKB2
4791
NLRP3 Inflammasome


NLRC3
197358
NLRP3 Inflammasome


NLRP3
114548
NLRP3 Inflammasome


P2RX7
5027
NLRP3 Inflammasome


PANX1
24145
NLRP3 Inflammasome


PSTPIP1
9051
NLRP3 Inflammasome


PYCARD
29108
NLRP3 Inflammasome


PYDC2
152138
NLRP3 Inflammasome


RELA
5970
NLRP3 Inflammasome


SIRT2
22933
NLRP3 Inflammasome


SUGT1
10910
NLRP3 Inflammasome


TLR4
7099
NLRP3 Inflammasome


TLR6
10333
NLRP3 Inflammasome


TXN
7295
NLRP3 Inflammasome


TXNIP
10628
NLRP3 Inflammasome


USP50
373509
NLRP3 Inflammasome


C1QA
712
Classical Complement Pathway


CIQB
713
Classical Complement Pathway


C1QC
714
Classical Complement Pathway


C1R
715
Classical Complement Pathway


C1S
716
Classical Complement Pathway


C2
717
Classical Complement Pathway


C3
718
Classical Complement Pathway


C4A
720
Classical Complement Pathway


C4B
721
Classical Complement Pathway


C4B_2
100293534
Classical Complement Pathway


C5
727
Classical Complement Pathway


C6
729
Classical Complement Pathway


C7
730
Classical Complement Pathway


C8A
731
Classical Complement Pathway


C9
735
Classical Complement Pathway


C3
718
Alternative Complement Pathway


C5
727
Alternative Complement Pathway


C6
729
Alternative Complement Pathway


C7
730
Alternative Complement Pathway


C8A
731
Alternative Complement Pathway


C9
735
Alternative Complement Pathway


CFB
629
Alternative Complement Pathway


CFD
1675
Alternative Complement Pathway


CFH
3075
Alternative Complement Pathway


CFHR5
81494
Alternative Complement Pathway


CFP
5199
Alternative Complement Pathway


CR1
1378
Alternative Complement Pathway


GZMM
3004
Alternative Complement Pathway


MIR520B
574473
Alternative Complement Pathway


MIR520E
574461
Alternative Complement Pathway


VSIG4
11326
Alternative Complement Pathway


A2M
2
Lectin-Induced Complement Pathway


C2
717
Lectin-Induced Complement Pathway


C3
718
Lectin-Induced Complement Pathway


C4A
720
Lectin-Induced Complement Pathway


C4B
721
Lectin-Induced Complement Pathway


C4B_2
100293534
Lectin-Induced Complement Pathway


C5
727
Lectin-Induced Complement Pathway


C6
729
Lectin-Induced Complement Pathway


C7
730
Lectin-Induced Complement Pathway


C8A
731
Lectin-Induced Complement Pathway


C9
735
Lectin-Induced Complement Pathway


COLEC10
10584
Lectin-Induced Complement Pathway


COLEC11
78989
Lectin-Induced Complement Pathway


FCN1
2219
Lectin-Induced Complement Pathway


FCN2
2220
Lectin-Induced Complement Pathway


FCN3
8547
Lectin-Induced Complement Pathway


KRT1
3848
Lectin-Induced Complement Pathway


MASP1
5648
Lectin-Induced Complement Pathway


MASP2
10747
Lectin-Induced Complement Pathway


MBL2
4153
Lectin-Induced Complement Pathway


SERPING1
710
Lectin-Induced Complement Pathway



















Table of IL6-IL1











geneSymbol
geneEntrezID
GeneSet















IL1A
3552
Proinflammatory IL-1 Family



IL1B
3553
Proinflammatory IL-1 Family



IL18
3606
Proinflammatory IL-1 Family



IL36A
27179
Proinflammatory IL-1 Family



IL36B
27177
Proinflammatory IL-1 Family



IL36G
56300
Proinflammatory IL-1 Family



IL33
90865
Proinflammatory IL-1 Family



IL1R1
3554
Proinflammatory IL-1 Family



IL1RAP
3556
Proinflammatory IL-1 Family



IL18R1
8809
Proinflammatory IL-1 Family



IL18RAP
8807
Proinflammatory IL-1 Family



IL6
3569
IL-6R Complex



IL6R
3570
IL-6R Complex



IL6ST
3572
IL-6R Complex




















Table of M1 and M2 Macrophages











geneSymbol
geneEntrezID
GeneSet















AK3
50808
M1



APOL1
8542
M1



APOL2
23780
M1



APOL3
80833
M1



APOL6
80830
M1



ATF3
467
M1



BCL2A1
597
M1



BIRC3
330
M1



CCL15
6359
M1



CCL19
6363
M1



CCL20
6364
M1



CCL5
6352
M1



CCR7
1236
M1



CHI3L2
1117
M1



CXCL10
3627
M1



CXCL11
6373
M1



CXCL9
4283
M1



EDN1
1906
M1



FAS
355
M1



GADD45G
10912
M1



HESX1
8820
M1



HSD11B1
3290
M1



IDO1
3620
M1



IGFBP4
3487
M1



IL12B
3593
M1



IL15
3600
M1



IL15RA
3601
M1



IL2RA
3559
M1



IL6
3569
M1



IL7R
3575
M1



INHBA
3624
M1



IRF1
3659
M1



IRF7
3665
M1



NAMPT
10135
M1



OAS2
4939
M1



OASL
8638
M1



PDGFA
5154
M1



PFKFB3
5209
M1



PFKP
5214
M1



PLA1A
51365
M1



PSMA2
5683
M1



PSMB9
5698
M1



PSME2
5721
M1



PTX3
5806
M1



SCO2
9997
M1



SLC2A6
11182
M1



SLC31A2
1318
M1



SLC7A5
8140
M1



SLCO5A1
81796
M1



SPHK1
8877
M1



TNF
7124
M1



TNFSF10
8743
M1



VCAN
1462
M1



XAF1
54739
M1



ADK
132
M2



ALOX15
246
M2



CA2
760
M2



CCL13
6357
M2



CCL18
6362
M2



CCL23
6368
M2



CD209
30835
M2



CD36
948
M2



CERK
64781
M2



CHN2
1124
M2



CLEC4F
165530
M2



CLEC7A
64581
M2



CTSC
1075
M2



CXCR4
7852
M2



DLC1
10395
M2



EGR2
1959
M2



FGL2
10875
M2



FN1
2335
M2



GAS7
8522
M2



HEXB
3074
M2



HNMT
3176
M2



HRH1
3269
M2



HS3ST1
9957
M2



HS3ST2
9956
M2



IGF1
3479
M2



LIPA
3988
M2



LPAR6
10161
M2



LTA4H
4048
M2



MAF
4094
M2



MRC1
4360
M2



MS4A4A
51338
M2



MS4A6A
64231
M2



MSR1
4481
M2



P2RY13
53829
M2



P2RY14
9934
M2



SELENOP
6414
M2



SLC38A6
145389
M2



SLC4A7
9497
M2



SLCO2B1
11309
M2



TGFBI
7045
M2



TGFBR2
7048
M2



TLR5
7100
M2



TPST2
8459
M2




















Table of Kotliarov et al. CD 40











geneSymbol
geneEntrezID
GeneSet















BUB1B
701
CD40act



CCL22
6367
CD40act



CD58
965
CD40act



DBI
1622
CD40act



DUSP4
1846
CD40act



FABP5
2171
CD40act



FDPS
2224
CD40act



FEN1
2237
CD40act



GAPDH
2597
CD40act



GARS
2617
CD40act



GRHPR
9380
CD40act



H2AFX
3014
CD40act



H2AFZ
3015
CD40act



HMGB2
3148
CD40act



HMMR
3161
CD40act



HPRT1
3251
CD40act



IMPDH2
3615
CD40act



LDHA
3939
CD40act



LDHB
3945
CD40act



LMNB1
4001
CD40act



LPXN
9404
CD40act



MCM2
4171
CD40act



MCM3
4172
CD40act



MCM6
4175
CD40act



MSH6
2956
CD40act



MTHFD2
10797
CD40act



MYBL2
4605
CD40act



NDC80
10403
CD40act



NME1
4830
CD40act



PAICS
10606
CD40act



PCNA
5111
CD40act



PKM
5315
CD40act



PRDX3
10935
CD40act



RFTN1
23180
CD40act



RGS10
6001
CD40act



SLAMF1
6504
CD40act



TK1
7083
CD40act



TOP2A
7153
CD40act



TPX2
22974
CD40act



TRAF1
7185
CD40act



TUBA1B
10376
CD40act



TXN
7295
CD40act



TYMS
7298
CD40act



UBE2S
27338
CD40act



VDAC1
7416
CD40act



WEE1
7465
CD40act



WSB2
55884
CD40act



ZWINT
11130
CD40act




















Table of Interferons (IFN)











geneSymbol
geneEntrezID
GeneSet















ACSL1
2180
IFNA2 Signature



ADAR
103
IFNA2 Signature



AGT
183
IFNA2 Signature



AIM2
9447
IFNA2 Signature



AKAP2
11217
IFNA2 Signature



APOBEC3B
9582
IFNA2 Signature



APOBEC3G
60489
IFNA2 Signature



APOL3
80833
IFNA2 Signature



ATF3
467
IFNA2 Signature



ATF5
22809
IFNA2 Signature



BAG1
573
IFNA2 Signature



BARD1
580
IFNA2 Signature



BCL7B
9275
IFNA2 Signature



BLVRA
644
IFNA2 Signature



BRCA1
672
IFNA2 Signature



BRCA2
675
IFNA2 Signature



BST2
684
IFNA2 Signature



BUB1
699
IFNA2 Signature



C2
717
IFNA2 Signature



CACNA1A
773
IFNA2 Signature



CAD
790
IFNA2 Signature



CAMK2A
815
IFNA2 Signature



CASP1
834
IFNA2 Signature



CASP10
843
IFNA2 Signature



CASP5
838
IFNA2 Signature



CBR1
873
IFNA2 Signature



CBWD1
55871
IFNA2 Signature



CCL13
6357
IFNA2 Signature



CCL7
6354
IFNA2 Signature



CCL8
6355
IFNA2 Signature



CCNA1
8900
IFNA2 Signature



CCND2
894
IFNA2 Signature



CD2AP
23607
IFNA2 Signature



CD38
952
IFNA2 Signature



CD4
920
IFNA2 Signature



CD69
969
IFNA2 Signature



CDC42EP1
11135
IFNA2 Signature



CDK4
1019
IFNA2 Signature



CDKN1A
1026
IFNA2 Signature



CFB
629
IFNA2 Signature



CH25H
9023
IFNA2 Signature



CHKA
1119
IFNA2 Signature



CNTN6
27255
IFNA2 Signature



COL3A1
1281
IFNA2 Signature



CTSL
1514
IFNA2 Signature



CXCL10
3627
IFNA2 Signature



CXCL11
6373
IFNA2 Signature



CXCL9
4283
IFNA2 Signature



CXCR2
3579
IFNA2 Signature



CYP2J2
1573
IFNA2 Signature



DAB2
1601
IFNA2 Signature



DEFB1
1672
IFNA2 Signature



DLL1
28514
IFNA2 Signature



DSC2
1824
IFNA2 Signature



DUSP5
1847
IFNA2 Signature



DUSP7
1849
IFNA2 Signature



DYNLT1
6993
IFNA2 Signature



DYSF
8291
IFNA2 Signature



ECE1
1889
IFNA2 Signature



EDN1
1906
IFNA2 Signature



EIF2AK2
5610
IFNA2 Signature



EIF2B1
1967
IFNA2 Signature



EIF4ENIF1
56478
IFNA2 Signature



ENPP2
5168
IFNA2 Signature



EPB41
2035
IFNA2 Signature



ETV4
2118
IFNA2 Signature



F8
2157
IFNA2 Signature



FAF1
11124
IFNA2 Signature



FAS
355
IFNA2 Signature



FGF1
2246
IFNA2 Signature



FLNA
2316
IFNA2 Signature



FOXO1
2308
IFNA2 Signature



FTL
2512
IFNA2 Signature



FUT4
2526
IFNA2 Signature



GADD45B
4616
IFNA2 Signature



GBAP1
2630
IFNA2 Signature



GBP1
2633
IFNA2 Signature



GBP2
2634
IFNA2 Signature



GCH1
2643
IFNA2 Signature



GCNT1
2650
IFNA2 Signature



GLB1
2720
IFNA2 Signature



GLS
2744
IFNA2 Signature



GMPR
2766
IFNA2 Signature



GPR161
23432
IFNA2 Signature



GUK1
2987
IFNA2 Signature



HBG2
3048
IFNA2 Signature



HCAR3
8843
IFNA2 Signature



HIST2H2AA3
8337
IFNA2 Signature



HLA-DOA
3111
IFNA2 Signature



HLA-DRB5
3127
IFNA2 Signature



HS6ST1
9394
IFNA2 Signature



HSP90AA1
3320
IFNA2 Signature



IDO1
3620
IFNA2 Signature



IFI16
3428
IFNA2 Signature



IFI27
3429
IFNA2 Signature



IFI35
3430
IFNA2 Signature



IFI44
10561
IFNA2 Signature



IFI44L
10964
IFNA2 Signature



IFI6
2537
IFNA2 Signature



IFIT1
3434
IFNA2 Signature



IFIT5
24138
IFNA2 Signature



IFITM1
8519
IFNA2 Signature



IFITM2
10581
IFNA2 Signature



IFITM3
10410
IFNA2 Signature



IFNG
3458
IFNA2 Signature



IFRD1
3475
IFNA2 Signature



IGL
3535
IFNA2 Signature



IKBKG
8517
IFNA2 Signature



IL15
3600
IFNA2 Signature



IL15RA
3601
IFNA2 Signature



IL1RN
3557
IFNA2 Signature



IL6
3569
IFNA2 Signature



INPPL1
3636
IFNA2 Signature



IRF2
3660
IFNA2 Signature



IRF7
3665
IFNA2 Signature



ISG15
9636
IFNA2 Signature



ISG20
3669
IFNA2 Signature



ITIH2
3698
IFNA2 Signature



JAK2
3717
IFNA2 Signature



JUP
3728
IFNA2 Signature



KCNA3
3738
IFNA2 Signature



KDELR2
11014
IFNA2 Signature



KIF20B
9585
IFNA2 Signature



KLF6
1316
IFNA2 Signature



KPNB1
3837
IFNA2 Signature



KRT8
3856
IFNA2 Signature



LAG3
3902
IFNA2 Signature



LAMP3
27074
IFNA2 Signature



LAP3
51056
IFNA2 Signature



LEPR
3953
IFNA2 Signature



LGALS2
3957
IFNA2 Signature



LGALS3BP
3959
IFNA2 Signature



LGALS9
3965
IFNA2 Signature



LGMN
5641
IFNA2 Signature



LMNB1
4001
IFNA2 Signature



LMO2
4005
IFNA2 Signature



LY6E
4061
IFNA2 Signature



MAP2K5
5607
IFNA2 Signature



MCL1
4170
IFNA2 Signature



MED1
5469
IFNA2 Signature



MGLL
11343
IFNA2 Signature



MMP16
4325
IFNA2 Signature



MNDA
4332
IFNA2 Signature



MRPS15
64960
IFNA2 Signature



MSR1
4481
IFNA2 Signature



MX1
4599
IFNA2 Signature



MX2
4600
IFNA2 Signature



MYD88
4615
IFNA2 Signature



NAMPT
10135
IFNA2 Signature



NFE2L3
9603
IFNA2 Signature



NKTR
4820
IFNA2 Signature



NMI
9111
IFNA2 Signature



NR3C1
2908
IFNA2 Signature



NUB1
51667
IFNA2 Signature



NUPR1
26471
IFNA2 Signature



OAS1
4938
IFNA2 Signature



OAS2
4939
IFNA2 Signature



OAS3
4940
IFNA2 Signature



OSBPL1A
114876
IFNA2 Signature



PATJ
10207
IFNA2 Signature



PDGFB
5155
IFNA2 Signature



PDGFRL
5157
IFNA2 Signature



PGGT1B
5229
IFNA2 Signature



PKD2
5311
IFNA2 Signature



PLSCR1
5359
IFNA2 Signature



PMAIP1
5366
IFNA2 Signature



PML
5371
IFNA2 Signature



PRKRA
8575
IFNA2 Signature



PSMB9
5698
IFNA2 Signature



PTCH1
5727
IFNA2 Signature



RBCK1
10616
IFNA2 Signature



RET
5979
IFNA2 Signature



RGS1
5996
IFNA2 Signature



RGS6
9628
IFNA2 Signature



RPS9
6203
IFNA2 Signature



RTP4
64108
IFNA2 Signature



SAT1
6303
IFNA2 Signature



SCARB2
950
IFNA2 Signature



SERPING1
710
IFNA2 Signature



SIT1
27240
IFNA2 Signature



SLAMF1
6504
IFNA2 Signature



SOCS1
8651
IFNA2 Signature



SP100
6672
IFNA2 Signature



SP110
3431
IFNA2 Signature



SP140
11262
IFNA2 Signature



SPIB
6689
IFNA2 Signature



ST3GAL5
8869
IFNA2 Signature



STAP1
26228
IFNA2 Signature



STAT1
6772
IFNA2 Signature



STAT2
6773
IFNA2 Signature



STX11
8676
IFNA2 Signature



SUPT3H
8464
IFNA2 Signature



SYN2
6854
IFNA2 Signature



TAF5L
27097
IFNA2 Signature



TAP1
6890
IFNA2 Signature



TAP2
6891
IFNA2 Signature



TARBP1
6894
IFNA2 Signature



TCN2
6948
IFNA2 Signature



TFDP2
7029
IFNA2 Signature



TGM1
7051
IFNA2 Signature



TLR3
7098
IFNA2 Signature



TLR7
51284
IFNA2 Signature



TNFRSF11A
8792
IFNA2 Signature



TNFSF10
8743
IFNA2 Signature



TNFSF6
356
IFNA2 Signature



TNK2
10188
IFNA2 Signature



TOR1B
27348
IFNA2 Signature



TRA2B
6434
IFNA2 Signature



TRD
6964
IFNA2 Signature



TRIM21
6737
IFNA2 Signature



TRIM22
10346
IFNA2 Signature



TRIM26
7726
IFNA2 Signature



TRIM34
53840
IFNA2 Signature



TRIM38
10475
IFNA2 Signature



UBA7
7318
IFNA2 Signature



UBE2L6
9246
IFNA2 Signature



UBE2S
27338
IFNA2 Signature



UBE3A
7337
IFNA2 Signature



UNC93B1
81622
IFNA2 Signature



USP18
11274
IFNA2 Signature



VAMP5
10791
IFNA2 Signature



WARS
7453
IFNA2 Signature



WT1
7490
IFNA2 Signature



XAF1
54739
IFNA2 Signature



ACKR3
57007
IFNB1 ALTERNATIVE





PW Increased transcripts



ACOD1
730249
IFNB1 ALTERNATIVE





PW Increased transcripts



ADORA2B
136
IFNB1 ALTERNATIVE





PW Increased transcripts



AEN
64782
IFNB1 ALTERNATIVE





PW Increased transcripts



AMBP
259
IFNB1 ALTERNATIVE





PW Increased transcripts



ARG1
383
IFNB1 ALTERNATIVE





PW Increased transcripts



ARG2
384
IFNB1 ALTERNATIVE





PW Increased transcripts



ARHGAP31
57514
IFNB1 ALTERNATIVE





PW Increased transcripts



ASPA
443
IFNB1 ALTERNATIVE





PW Increased transcripts



B4GALT5
9334
IFNB1 ALTERNATIVE





PW Increased transcripts



BCL3
602
IFNB1 ALTERNATIVE





PW Increased transcripts



BYSL
705
IFNB1 ALTERNATIVE





PW Increased transcripts



CA13
377677
IFNB1 ALTERNATIVE





PW Increased transcripts



CAMKK2
10645
IFNB1 ALTERNATIVE





PW Increased transcripts



CCL2
6347
IFNB1 ALTERNATIVE





PW Increased transcripts



CCL3L3
6349
IFNB1 ALTERNATIVE





PW Increased transcripts



CCL4
6351
IFNB1 ALTERNATIVE





PW Increased transcripts



CCL7
6354
IFNB1 ALTERNATIVE





PW Increased transcripts



CCRL2
9034
IFNB1 ALTERNATIVE





PW Increased transcripts



CD14
929
IFNB1 ALTERNATIVE





PW Increased transcripts



CD207
50489
IFNB1 ALTERNATIVE





PW Increased transcripts



CD86
942
IFNB1 ALTERNATIVE





PW Increased transcripts



CDC42EP2
10435
IFNB1 ALTERNATIVE





PW Increased transcripts



CDKN1A
1026
IFNB1 ALTERNATIVE





PW Increased transcripts



CDR2
1039
IFNB1 ALTERNATIVE





PW Increased transcripts



CLEC4E
26253
IFNB1 ALTERNATIVE





PW Increased transcripts



CLEC6A
93978
IFNB1 ALTERNATIVE





PW Increased transcripts



COQ10B
80219
IFNB1 ALTERNATIVE





PW Increased transcripts



CRYAA
1409
IFNB1 ALTERNATIVE





PW Increased transcripts



CSTA
1475
IFNB1 ALTERNATIVE





PW Increased transcripts



CTPS1
1503
IFNB1 ALTERNATIVE





PW Increased transcripts



CXCL2
2920
IFNB1 ALTERNATIVE





PW Increased transcripts



CXCL3
2921
IFNB1 ALTERNATIVE





PW Increased transcripts



DNMT3L
29947
IFNB1 ALTERNATIVE





PW Increased transcripts



DOT1L
84444
IFNB1 ALTERNATIVE





PW Increased transcripts



DRAM1
55332
IFNB1 ALTERNATIVE





PW Increased transcripts



DUSP16
80824
IFNB1 ALTERNATIVE





PW Increased transcripts



EEF1E1
9521
IFNB1 ALTERNATIVE





PW Increased transcripts



EPHA4
2043
IFNB1 ALTERNATIVE





PW Increased transcripts



ETS2
2114
IFNB1 ALTERNATIVE





PW Increased transcripts



EXOC3L4
91828
IFNB1 ALTERNATIVE





PW Increased transcripts



F3
2152
IFNB1 ALTERNATIVE





PW Increased transcripts



FAM20C
56975
IFNB1 ALTERNATIVE





PW Increased transcripts



FCRL5
83416
IFNB1 ALTERNATIVE





PW Increased transcripts



FFAR2
2867
IFNB1 ALTERNATIVE





PW Increased transcripts



FMNL2
114793
IFNB1 ALTERNATIVE





PW Increased transcripts



FPR2
2358
IFNB1 ALTERNATIVE





PW Increased transcripts



GFPT1
2673
IFNB1 ALTERNATIVE





PW Increased transcripts



Gk
2710
IFNB1 ALTERNATIVE





PW Increased transcripts



GPR84
53831
IFNB1 ALTERNATIVE





PW Increased transcripts



GRWD1
83743
IFNB1 ALTERNATIVE





PW Increased transcripts



HBEGF
1839
IFNB1 ALTERNATIVE





PW Increased transcripts



HCAR2
338442
IFNB1 ALTERNATIVE





PW Increased transcripts



HEATR1
55127
IFNB1 ALTERNATIVE





PW Increased transcripts



HIVEP3
59269
IFNB1 ALTERNATIVE





PW Increased transcripts



HSPA1A
3303
IFNB1 ALTERNATIVE





PW Increased transcripts



HSPA1B
3304
IFNB1 ALTERNATIVE





PW Increased transcripts



ICAM1
3383
IFNB1 ALTERNATIVE





PW Increased transcripts



ID1
3397
IFNB1 ALTERNATIVE





PW Increased transcripts



IER3
8870
IFNB1 ALTERNATIVE





PW Increased transcripts



IFI16
3428
IFNB1 ALTERNATIVE





PW Increased transcripts



IKBKE
9641
IFNB1 ALTERNATIVE





PW Increased transcripts



IL1A
3552
IFNB1 ALTERNATIVE





PW Increased transcripts



IL1B
3553
IFNB1 ALTERNATIVE





PW Increased transcripts



IL1RN
3557
IFNB1 ALTERNATIVE





PW Increased transcripts



IL6
3569
IFNB1 ALTERNATIVE





PW Increased transcripts



IRAK3
11213
IFNB1 ALTERNATIVE





PW Increased transcripts



ITGA5
3678
IFNB1 ALTERNATIVE





PW Increased transcripts



ITGAX
3687
IFNB1 ALTERNATIVE





PW Increased transcripts



KPNA2
3838
IFNB1 ALTERNATIVE





PW Increased transcripts



MAFF
23764
IFNB1 ALTERNATIVE





PW Increased transcripts



MARCKSL1
65108
IFNB1 ALTERNATIVE





PW Increased transcripts



MARCO
8685
IFNB1 ALTERNATIVE





PW Increased transcripts



MEFV
4210
IFNB1 ALTERNATIVE





PW Increased transcripts



MMP14
4323
IFNB1 ALTERNATIVE





PW Increased transcripts



MT1A
4489
IFNB1 ALTERNATIVE





PW Increased transcripts



MT2A
4502
IFNB1 ALTERNATIVE





PW Increased transcripts



MYBPC2
4606
IFNB1 ALTERNATIVE





PW Increased transcripts



NAB2
4665
IFNB1 ALTERNATIVE





PW Increased transcripts



NOCT
25819
IFNB1 ALTERNATIVE





PW Increased transcripts



NOP16
51491
IFNB1 ALTERNATIVE





PW Increased transcripts



NOP2
4839
IFNB1 ALTERNATIVE





PW Increased transcripts



NR1H3
10062
IFNB1 ALTERNATIVE





PW Increased transcripts



NR4A1
3164
IFNB1 ALTERNATIVE





PW Increased transcripts



OLR1
4973
IFNB1 ALTERNATIVE





PW Increased transcripts



OSM
5008
IFNB1 ALTERNATIVE





PW Increased transcripts



PDIA6
10130
IFNB1 ALTERNATIVE





PW Increased transcripts



PHLDA1
22822
IFNB1 ALTERNATIVE





PW Increased transcripts



PHLDB1
23187
IFNB1 ALTERNATIVE





PW Increased transcripts



PIM1
5292
IFNB1 ALTERNATIVE





PW Increased transcripts



POGK
57645
IFNB1 ALTERNATIVE





PW Increased transcripts



PPRC1
23082
IFNB1 ALTERNATIVE





PW Increased transcripts



PROK2
60675
IFNB1 ALTERNATIVE





PW Increased transcripts



PTGES
9536
IFNB1 ALTERNATIVE





PW Increased transcripts



PTGIR
5739
IFNB1 ALTERNATIVE





PW Increased transcripts



PVR
5817
IFNB1 ALTERNATIVE





PW Increased transcripts



RAB20
55647
IFNB1 ALTERNATIVE





PW Increased transcripts



RAI14
26064
IFNB1 ALTERNATIVE





PW Increased transcripts



RELB
5971
IFNB1 ALTERNATIVE





PW Increased transcripts



RND1
27289
IFNB1 ALTERNATIVE





PW Increased transcripts



RRP12
23223
IFNB1 ALTERNATIVE





PW Increased transcripts



RRS1
23212
IFNB1 ALTERNATIVE





PW Increased transcripts



SAA1
6288
IFNB1 ALTERNATIVE





PW Increased transcripts



SCAMP1
9522
IFNB1 ALTERNATIVE





PW Increased transcripts



SDC4
6385
IFNB1 ALTERNATIVE





PW Increased transcripts



SERPINB2
5055
IFNB1 ALTERNATIVE





PW Increased transcripts



SERPINE1
5054
IFNB1 ALTERNATIVE





PW Increased transcripts



SHMT1
6470
IFNB1 ALTERNATIVE





PW Increased transcripts



SLAMF8
56833
IFNB1 ALTERNATIVE





PW Increased transcripts



SLC12A4
6560
IFNB1 ALTERNATIVE





PW Increased transcripts



SLC15A3
51296
IFNB1 ALTERNATIVE





PW Increased transcripts



SLC16A10
117247
IFNB1 ALTERNATIVE





PW Increased transcripts



SLC20A1
6574
IFNB1 ALTERNATIVE





PW Increased transcripts



SLC25A25
114789
IFNB1 ALTERNATIVE





PW Increased transcripts



SLC25A33
84275
IFNB1 ALTERNATIVE





PW Increased transcripts



SLC2A6
11182
IFNB1 ALTERNATIVE





PW Increased transcripts



SLC39A14
23516
IFNB1 ALTERNATIVE





PW Increased transcripts



SLC7A2
6542
IFNB1 ALTERNATIVE





PW Increased transcripts



SLC7A5
8140
IFNB1 ALTERNATIVE





PW Increased transcripts



SNX18
112574
IFNB1 ALTERNATIVE





PW Increased transcripts



SOCS3
9021
IFNB1 ALTERNATIVE





PW Increased transcripts



SOD2
6648
IFNB1 ALTERNATIVE





PW Increased transcripts



SUSD6
9766
IFNB1 ALTERNATIVE





PW Increased transcripts



TFEC
22797
IFNB1 ALTERNATIVE





PW Increased transcripts



TFRC
7037
IFNB1 ALTERNATIVE





PW Increased transcripts



TGM2
7052
IFNB1 ALTERNATIVE





PW Increased transcripts



TIMM8A
1678
IFNB1 ALTERNATIVE





PW Increased transcripts



TLNRD1
59274
IFNB1 ALTERNATIVE





PW Increased transcripts



TLR2
7097
IFNB1 ALTERNATIVE





PW Increased transcripts



TMA16
55319
IFNB1 ALTERNATIVE





PW Increased transcripts



TNF
7124
IFNB1 ALTERNATIVE





PW Increased transcripts



TNFAIP2
7127
IFNB1 ALTERNATIVE





PW Increased transcripts



TNFAIP3
7128
IFNB1 ALTERNATIVE





PW Increased transcripts



TNFSF14
8740
IFNB1 ALTERNATIVE





PW Increased transcripts



TREM1
54210
IFNB1 ALTERNATIVE





PW Increased transcripts



TREML4
285852
IFNB1 ALTERNATIVE





PW Increased transcripts



TRIM13
10206
IFNB1 ALTERNATIVE





PW Increased transcripts



TRMT61A
115708
IFNB1 ALTERNATIVE





PW Increased transcripts



TXNRD1
7296
IFNB1 ALTERNATIVE





PW Increased transcripts



URB2
9816
IFNB1 ALTERNATIVE





PW Increased transcripts



ZNF503
84858
IFNB1 ALTERNATIVE





PW Increased transcripts



ACLY
47
IFNB1 Signature



ACSL1
2180
IFNB1 Signature



ADAM19
8728
IFNB1 Signature



ADAP2
55803
IFNB1 Signature



ADAR
103
IFNB1 Signature



ADGRE2
30817
IFNB1 Signature



ADM
133
IFNB1 Signature



AFF3
3899
IFNB1 Signature



AGT
183
IFNB1 Signature



AIM2
9447
IFNB1 Signature



AKAP10
11216
IFNB1 Signature



AKAP2
11217
IFNB1 Signature



ALOX12
239
IFNB1 Signature



ALOX5
240
IFNB1 Signature



ANXA4
307
IFNB1 Signature



APOBEC3B
9582
IFNB1 Signature



APOBEC3G
60489
IFNB1 Signature



APOL3
80833
IFNB1 Signature



ATF3
467
IFNB1 Signature



ATF5
22809
IFNB1 Signature



ATM
472
IFNB1 Signature



ATP13A1
57130
IFNB1 Signature



B4GAT1
11041
IFNB1 Signature



BAG1
573
IFNB1 Signature



BAK1
578
IFNB1 Signature



BARD1
580
IFNB1 Signature



BCL11A
53335
IFNB1 Signature



BCL7B
9275
IFNB1 Signature



BGN
633
IFNB1 Signature



BLNK
29760
IFNB1 Signature



BLVRA
644
IFNB1 Signature



BLZF1
8548
IFNB1 Signature



BRCA1
672
IFNB1 Signature



BRCA2
675
IFNB1 Signature



BST2
684
IFNB1 Signature



BUB1
699
IFNB1 Signature



C3AR1
719
IFNB1 Signature



CACNA1A
773
IFNB1 Signature



CAD
790
IFNB1 Signature



CALD1
800
IFNB1 Signature



CAMK2A
815
IFNB1 Signature



CAPN2
824
IFNB1 Signature



CASP1
834
IFNB1 Signature



CASP10
843
IFNB1 Signature



CASP5
838
IFNB1 Signature



CBR1
873
IFNB1 Signature



CBWD1
55871
IFNB1 Signature



CCL13
6357
IFNB1 Signature



CCL3L1
6349
IFNB1 Signature



CCL4
6351
IFNB1 Signature



CCL7
6354
IFNB1 Signature



CCL8
6355
IFNB1 Signature



CCNA1
8900
IFNB1 Signature



CCND2
894
IFNB1 Signature



CCR1
1230
IFNB1 Signature



CCR5
1234
IFNB1 Signature



CCRL2
9034
IFNB1 Signature



CD163
9332
IFNB1 Signature



CD164
8763
IFNB1 Signature



CD2AP
23607
IFNB1 Signature



CD38
952
IFNB1 Signature



CD4
920
IFNB1 Signature



CD59
966
IFNB1 Signature



CD69
969
IFNB1 Signature



CD72
971
IFNB1 Signature



CD86
942
IFNB1 Signature



CDK17
5128
IFNB1 Signature



CDKN1A
1026
IFNB1 Signature



CENPA
1058
IFNB1 Signature



CENPE
1062
IFNB1 Signature



CFB
629
IFNB1 Signature



CFLAR
8837
IFNB1 Signature



CH25H
9023
IFNB1 Signature



CHI3L2
1117
IFNB1 Signature



CHKA
1119
IFNB1 Signature



CISH
1154
IFNB1 Signature



CKB
1152
IFNB1 Signature



CMAHP
8418
IFNB1 Signature



CNTN6
27255
IFNB1 Signature



CNTRL
11064
IFNB1 Signature



COL3A1
1281
IFNB1 Signature



COX17
10063
IFNB1 Signature



CSF2RB
1439
IFNB1 Signature



CTSL
1514
IFNB1 Signature



CXCL10
3627
IFNB1 Signature



CXCL11
6373
IFNB1 Signature



CXCL2
2920
IFNB1 Signature



CXCL9
4283
IFNB1 Signature



CXCR2
3579
IFNB1 Signature



CYBB
1536
IFNB1 Signature



CYP19A1
1588
IFNB1 Signature



CYP2J2
1573
IFNB1 Signature



DAB2
1601
IFNB1 Signature



DEFA1
1667
IFNB1 Signature



DEFB1
1672
IFNB1 Signature



DHFR
1719
IFNB1 Signature



DLL1
28514
IFNB1 Signature



DMXL1
1657
IFNB1 Signature



DNMT1
1786
IFNB1 Signature



DRAP1
10589
IFNB1 Signature



DSC2
1824
IFNB1 Signature



DUSP5
1847
IFNB1 Signature



DUSP7
1849
IFNB1 Signature



DYNLT1
6993
IFNB1 Signature



DYSF
8291
IFNB1 Signature



E2F1
1869
IFNB1 Signature



ECE1
1889
IFNB1 Signature



EDN1
1906
IFNB1 Signature



EGR1
1958
IFNB1 Signature



EIF2AK2
5610
IFNB1 Signature



EIF2B1
1967
IFNB1 Signature



EIF4ENIF1
56478
IFNB1 Signature



ELF1
1997
IFNB1 Signature



ELF4
2000
IFNB1 Signature



ENPP2
5168
IFNB1 Signature



EPB41
2035
IFNB1 Signature



ETV4
2118
IFNB1 Signature



ETV6
2120
IFNB1 Signature



F8
2157
IFNB1 Signature



FAF1
11124
IFNB1 Signature



FAS
355
IFNB1 Signature



FBXW2
26190
IFNB1 Signature



FCGR1A
2209
IFNB1 Signature



FCMR
9214
IFNB1 Signature



FGF1
2246
IFNB1 Signature



FLNA
2316
IFNB1 Signature



FMR1
2332
IFNB1 Signature



FOXO1
2308
IFNB1 Signature



FPR2
2358
IFNB1 Signature



FTL
2512
IFNB1 Signature



FUT4
2526
IFNB1 Signature



GADD45B
4616
IFNB1 Signature



GBAP1
2630
IFNB1 Signature



GBP1
2633
IFNB1 Signature



GBP2
2634
IFNB1 Signature



GCH1
2643
IFNB1 Signature



GCNT1
2650
IFNB1 Signature



GLS
2744
IFNB1 Signature



GMPR
2766
IFNB1 Signature



GPI
2821
IFNB1 Signature



GPR161
23432
IFNB1 Signature



GUK1
2987
IFNB1 Signature



HBG2
3048
IFNB1 Signature



HCAR3
8843
IFNB1 Signature



HHEX
3087
IFNB1 Signature



HIST2H2AA3
8337
IFNB1 Signature



HK2
3099
IFNB1 Signature



HLA-DOA
3111
IFNB1 Signature



HS6ST1
9394
IFNB1 Signature



HSP90AA1
3320
IFNB1 Signature



HSPA1A
3303
IFNB1 Signature



HSPA1L
3305
IFNB1 Signature



IDO1
3620
IFNB1 Signature



IFI16
3428
IFNB1 Signature



IFI27
3429
IFNB1 Signature



IFI35
3430
IFNB1 Signature



IFI44
10561
IFNB1 Signature



IFI6
2537
IFNB1 Signature



IFIT1
3434
IFNB1 Signature



IFIT5
24138
IFNB1 Signature



IFITM1
8519
IFNB1 Signature



IFITM2
10581
IFNB1 Signature



IFITM3
10410
IFNB1 Signature



IFNG
3458
IFNB1 Signature



IFRD1
3475
IFNB1 Signature



IGL
3535
IFNB1 Signature



IKBKE
9641
IFNB1 Signature



IKBKG
8517
IFNB1 Signature



IL15
3600
IFNB1 Signature



IL15RA
3601
IFNB1 Signature



IL18BP
10068
IFNB1 Signature



IL18R1
8809
IFNB1 Signature



IL1RN
3557
IFNB1 Signature



IL6
3569
IFNB1 Signature



IL7
3574
IFNB1 Signature



INPP5D
3635
IFNB1 Signature



INPPL1
3636
IFNB1 Signature



IRF1
3659
IFNB1 Signature



IRF2
3660
IFNB1 Signature



IRF4
3662
IFNB1 Signature



IRF7
3665
IFNB1 Signature



IRF9
10379
IFNB1 Signature



ISG15
9636
IFNB1 Signature



ISG20
3669
IFNB1 Signature



ITGAL
3683
IFNB1 Signature



ITGAX
3687
IFNB1 Signature



JAK2
3717
IFNB1 Signature



JCHAIN
3512
IFNB1 Signature



JUP
3728
IFNB1 Signature



KCNA3
3738
IFNB1 Signature



KCNMB1
3779
IFNB1 Signature



KDELR2
11014
IFNB1 Signature



KIF20B
9585
IFNB1 Signature



KLF2
10365
IFNB1 Signature



KLF6
1316
IFNB1 Signature



KLRB1
3820
IFNB1 Signature



KPNB1
3837
IFNB1 Signature



KRT8
3856
IFNB1 Signature



LAG3
3902
IFNB1 Signature



LAMP3
27074
IFNB1 Signature



LANCL1
10314
IFNB1 Signature



LAP3
51056
IFNB1 Signature



LBR
3930
IFNB1 Signature



LEPR
3953
IFNB1 Signature



LGALS2
3957
IFNB1 Signature



LGALS3BP
3959
IFNB1 Signature



LGALS9
3965
IFNB1 Signature



LGMN
5641
IFNB1 Signature



LILRA1
11024
IFNB1 Signature



LINC00597
81698
IFNB1 Signature



LMNB1
4001
IFNB1 Signature



LMO2
4005
IFNB1 Signature



LTA
4049
IFNB1 Signature



LTB4R
1241
IFNB1 Signature



LY6E
4061
IFNB1 Signature



LYN
4067
IFNB1 Signature



MAP2K5
5607
IFNB1 Signature



MAP3K8
1326
IFNB1 Signature



MARCKS
4082
IFNB1 Signature



MBNL
4154
IFNB1 Signature



MCL1
4170
IFNB1 Signature



MED1
5469
IFNB1 Signature



MEF2A
4205
IFNB1 Signature



MFHAS1
9258
IFNB1 Signature



MGLL
11343
IFNB1 Signature



MNDA
4332
IFNB1 Signature



MRPS15
64960
IFNB1 Signature



MS4A7
58475
IFNB1 Signature



MSR1
4481
IFNB1 Signature



MX1
4599
IFNB1 Signature



MX2
4600
IFNB1 Signature



MYD88
4615
IFNB1 Signature



NAMPT
10135
IFNB1 Signature



NAPSA
9476
IFNB1 Signature



NBN
4683
IFNB1 Signature



NCF1
653361
IFNB1 Signature



NCOA2
10499
IFNB1 Signature



NEBL
10529
IFNB1 Signature



NEK4
6787
IFNB1 Signature



NFE2L3
9603
IFNB1 Signature



NKTR
4820
IFNB1 Signature



NMI
9111
IFNB1 Signature



NOTCH1
4851
IFNB1 Signature



NR3C1
2908
IFNB1 Signature



NR4A3
8013
IFNB1 Signature



NUB1
51667
IFNB1 Signature



NUPR1
26471
IFNB1 Signature



OAS1
4938
IFNB1 Signature



OAS2
4939
IFNB1 Signature



OAS3
4940
IFNB1 Signature



PATJ
10207
IFNB1 Signature



PAX5
5079
IFNB1 Signature



PAX8
7849
IFNB1 Signature



PDE4B
5142
IFNB1 Signature



PDGFB
5155
IFNB1 Signature



PDGFRL
5157
IFNB1 Signature



PFKFB3
5209
IFNB1 Signature



PFKP
5214
IFNB1 Signature



PIM2
11040
IFNB1 Signature



PKD2
5311
IFNB1 Signature



PLEK
5341
IFNB1 Signature



PLSCR1
5359
IFNB1 Signature



PMAIP1
5366
IFNB1 Signature



PML
5371
IFNB1 Signature



PMS2
5395
IFNB1 Signature



PPP2R2A
5520
IFNB1 Signature



PRKAG1
5571
IFNB1 Signature



PRKRA
8575
IFNB1 Signature



PRKX
5613
IFNB1 Signature



PSMB8
5696
IFNB1 Signature



PSMB9
5698
IFNB1 Signature



PTCH1
5727
IFNB1 Signature



PTGER2
5732
IFNB1 Signature



RALB
5899
IFNB1 Signature



RASGRP1
10125
IFNB1 Signature



RBBP6
5930
IFNB1 Signature



RBCK1
10616
IFNB1 Signature



RERE
473
IFNB1 Signature



RGS1
5996
IFNB1 Signature



RGS6
9628
IFNB1 Signature



RIN1
9610
IFNB1 Signature



RIPK1
8737
IFNB1 Signature



RIPK3
11035
IFNB1 Signature



RIPOR2
9750
IFNB1 Signature



RNF114
55905
IFNB1 Signature



RPS6KA5
9252
IFNB1 Signature



RPS9
6203
IFNB1 Signature



RRBP1
6238
IFNB1 Signature



RTP4
64108
IFNB1 Signature



SAT1
6303
IFNB1 Signature



SCARB2
950
IFNB1 Signature



SDS
10993
IFNB1 Signature



SELL
6402
IFNB1 Signature



SERPIND1
3053
IFNB1 Signature



SERPING1
710
IFNB1 Signature



SFTPB
6439
IFNB1 Signature



SIDT2
51092
IFNB1 Signature



SIT1
27240
IFNB1 Signature



SLAMF1
6504
IFNB1 Signature



SMO
6608
IFNB1 Signature



SNX2
6643
IFNB1 Signature



SOCS1
8651
IFNB1 Signature



SOS1
6654
IFNB1 Signature



SP100
6672
IFNB1 Signature



SP110
3431
IFNB1 Signature



SP140
11262
IFNB1 Signature



SPIB
6689
IFNB1 Signature



SPTA1
6708
IFNB1 Signature



SPTLC2
9517
IFNB1 Signature



SRRM2
23524
IFNB1 Signature



SSB
6741
IFNB1 Signature



ST3GAL5
8869
IFNB1 Signature



STAP1
26228
IFNB1 Signature



STAT1
6772
IFNB1 Signature



STAT2
6773
IFNB1 Signature



STOML2
30968
IFNB1 Signature



STX11
8676
IFNB1 Signature



SUPT3H
8464
IFNB1 Signature



TANK
10010
IFNB1 Signature



TAP1
6890
IFNB1 Signature



TAP2
6891
IFNB1 Signature



TAPBP
6892
IFNB1 Signature



TARBP1
6894
IFNB1 Signature



TBX21
30009
IFNB1 Signature



TCN2
6948
IFNB1 Signature



TFDP2
7029
IFNB1 Signature



TFF1
7031
IFNB1 Signature



TGM1
7051
IFNB1 Signature



THY1
7070
IFNB1 Signature



TLR1
7096
IFNB1 Signature



TLR3
7098
IFNB1 Signature



TLR7
51284
IFNB1 Signature



TNFAIP2
7127
IFNB1 Signature



TNFRSF11A
8792
IFNB1 Signature



TNFSF10
8743
IFNB1 Signature



TNFSF6
356
IFNB1 Signature



TNK2
10188
IFNB1 Signature



TOR1B
27348
IFNB1 Signature



TRA2B
6434
IFNB1 Signature



TRD
6964
IFNB1 Signature



TRG
6965
IFNB1 Signature



TRIM21
6737
IFNB1 Signature



TRIM22
10346
IFNB1 Signature



TRIM26
7726
IFNB1 Signature



TRIM34
53840
IFNB1 Signature



TRIM38
10475
IFNB1 Signature



TSPAN15
23555
IFNB1 Signature



TXK
7294
IFNB1 Signature



UBA7
7318
IFNB1 Signature



UBE2L6
9246
IFNB1 Signature



UBE2S
27338
IFNB1 Signature



UBE3A
7337
IFNB1 Signature



UBQLN2
29978
IFNB1 Signature



UNC93B1
81622
IFNB1 Signature



USP15
9958
IFNB1 Signature



USP18
11274
IFNB1 Signature



USP25
29761
IFNB1 Signature



USPL1
10208
IFNB1 Signature



UVRAG
7405
IFNB1 Signature



VAMP5
10791
IFNB1 Signature



WARS
7453
IFNB1 Signature



WIPF1
7456
IFNB1 Signature



WT1
7490
IFNB1 Signature



XAF1
54739
IFNB1 Signature



ZNF107
51427
IFNB1 Signature



ACLY
47
IFNG Signature



ACSL1
2180
IFNG Signature



AFF2
2334
IFNG Signature



AIM2
9447
IFNG Signature



AKAP10
11216
IFNG Signature



APOL3
80833
IFNG Signature



ATF3
467
IFNG Signature



ATM
472
IFNG Signature



C1QB
713
IFNG Signature



C4A
720
IFNG Signature



CALD1
800
IFNG Signature



CASP1
834
IFNG Signature



CASP10
843
IFNG Signature



CCL8
6355
IFNG Signature



CCND2
894
IFNG Signature



CCR5
1234
IFNG Signature



CD38
952
IFNG Signature



CDKN1A
1026
IFNG Signature



CFB
629
IFNG Signature



CKB
1152
IFNG Signature



CLEC10A
10462
IFNG Signature



CPT1B
1375
IFNG Signature



CSF2RB
1439
IFNG Signature



CTNND2
1501
IFNG Signature



CXCL10
3627
IFNG Signature



CXCL11
6373
IFNG Signature



CXCL9
4283
IFNG Signature



CYBB
1536
IFNG Signature



EDN1
1906
IFNG Signature



EPB41
2035
IFNG Signature



ETAA1
54465
IFNG Signature



ETV4
2118
IFNG Signature



F8
2157
IFNG Signature



FAS
355
IFNG Signature



FBLN1
2192
IFNG Signature



FBXL2
25827
IFNG Signature



FCGR1A
2209
IFNG Signature



FLII
2314
IFNG Signature



GADD45B
4616
IFNG Signature



GBP1
2633
IFNG Signature



GBP2
2634
IFNG Signature



GCH1
2643
IFNG Signature



GCNT1
2650
IFNG Signature



GLS
2744
IFNG Signature



GSTM5
2949
IFNG Signature



HBG2
3048
IFNG Signature



HHEX
3087
IFNG Signature



HP
3240
IFNG Signature



ICAM1
3383
IFNG Signature



IDO1
3620
IFNG Signature



IFI27
3429
IFNG Signature



IFI44
10561
IFNG Signature



IL15
3600
IFNG Signature



IL15RA
3601
IFNG Signature



IL18BP
10068
IFNG Signature



IL1A
3552
IFNG Signature



IL7
3574
IFNG Signature



IRF1
3659
IFNG Signature



IRF8
3394
IFNG Signature



JAK2
3717
IFNG Signature



JCHAIN
3512
IFNG Signature



KLF2
10365
IFNG Signature



LAP3
51056
IFNG Signature



LIMK2
3985
IFNG Signature



LMNB1
4001
IFNG Signature



MMP25
64386
IFNG Signature



MRPS15
64960
IFNG Signature



MSR1
4481
IFNG Signature



NET1
10276
IFNG Signature



NIN
51199
IFNG Signature



NKTR
4820
IFNG Signature



NLRP1
22861
IFNG Signature



NR3C1
2908
IFNG Signature



OAS1
4938
IFNG Signature



OAS3
4940
IFNG Signature



P2RY13
53829
IFNG Signature



PCDH9
5101
IFNG Signature



PLA2G4C
8605
IFNG Signature



PLEK
5341
IFNG Signature



POLR2B
5431
IFNG Signature



PSMB9
5698
IFNG Signature



PTCH1
5727
IFNG Signature



RALB
5899
IFNG Signature



RGS1
5996
IFNG Signature



SERPIND1
3053
IFNG Signature



SERPING1
710
IFNG Signature



SFTPB
6439
IFNG Signature



SLAMF1
6504
IFNG Signature



SLC1A5
6510
IFNG Signature



SOCS1
8651
IFNG Signature



SP100
6672
IFNG Signature



SPRY4
81848
IFNG Signature



SRRM2
23524
IFNG Signature



STAT1
6772
IFNG Signature



STAT2
6773
IFNG Signature



STX11
8676
IFNG Signature



TAP1
6890
IFNG Signature



TAP2
6891
IFNG Signature



TBX21
30009
IFNG Signature



TENM1
10178
IFNG Signature



TFF1
7031
IFNG Signature



TNFAIP2
7127
IFNG Signature



TNFSF10
8743
IFNG Signature



UBD
10537
IFNG Signature



UBE2C
11065
IFNG Signature



UBE2L6
9246
IFNG Signature



UBE3A
7337
IFNG Signature



VAMP5
10791
IFNG Signature



VSNL1
7447
IFNG Signature



WARS
7453
IFNG Signature



XRN1
54464
IFNG Signature



ABCB10
23456
IFNW1 Signature



ACLY
47
IFNW1 Signature



ACSL1
2180
IFNW1 Signature



ADAR
103
IFNW1 Signature



ADM
133
IFNW1 Signature



AGT
183
IFNW1 Signature



AIM2
9447
IFNW1 Signature



AKAP10
11216
IFNW1 Signature



AKAP2
11217
IFNW1 Signature



ALOX12
239
IFNW1 Signature



ANXA4
307
IFNW1 Signature



APOBEC3B
9582
IFNW1 Signature



APOBEC3G
60489
IFNW1 Signature



APOL3
80833
IFNW1 Signature



ATF3
467
IFNW1 Signature



ATF5
22809
IFNW1 Signature



ATM
472
IFNW1 Signature



B4GAT1
11041
IFNW1 Signature



BAG1
573
IFNW1 Signature



BARD1
580
IFNW1 Signature



BCL11A
53335
IFNW1 Signature



BCL7B
9275
IFNW1 Signature



BLVRA
644
IFNW1 Signature



BLZF1
8548
IFNW1 Signature



BRCA1
672
IFNW1 Signature



BRCA2
675
IFNW1 Signature



BRD4
23476
IFNW1 Signature



BST2
684
IFNW1 Signature



C3AR1
719
IFNW1 Signature



CAD
790
IFNW1 Signature



CALD1
800
IFNW1 Signature



CAMK2A
815
IFNW1 Signature



CAPN2
824
IFNW1 Signature



CASK
8573
IFNW1 Signature



CASP1
834
IFNW1 Signature



CASP10
843
IFNW1 Signature



CASP5
838
IFNW1 Signature



CBR1
873
IFNW1 Signature



CBWD1
55871
IFNW1 Signature



CCL13
6357
IFNW1 Signature



CCL3L1
6349
IFNW1 Signature



CCL7
6354
IFNW1 Signature



CCL8
6355
IFNW1 Signature



CCNA1
8900
IFNW1 Signature



CCND2
894
IFNW1 Signature



CCR1
1230
IFNW1 Signature



CCR5
1234
IFNW1 Signature



CCR7
1236
IFNW1 Signature



CCRL2
9034
IFNW1 Signature



CD164
8763
IFNW1 Signature



CD2AP
23607
IFNW1 Signature



CD38
952
IFNW1 Signature



CD4
920
IFNW1 Signature



CD47
961
IFNW1 Signature



CD59
966
IFNW1 Signature



CD69
969
IFNW1 Signature



CDKN1A
1026
IFNW1 Signature



CENPE
1062
IFNW1 Signature



CFB
629
IFNW1 Signature



CFLAR
8837
IFNW1 Signature



CHKA
1119
IFNW1 Signature



CKB
1152
IFNW1 Signature



CMAHP
8418
IFNW1 Signature



CNTN6
27255
IFNW1 Signature



CNTRL
11064
IFNW1 Signature



COL3A1
1281
IFNW1 Signature



CSF2RB
1439
IFNW1 Signature



CTSL
1514
IFNW1 Signature



CXCL10
3627
IFNW1 Signature



CXCL11
6373
IFNW1 Signature



CXCL9
4283
IFNW1 Signature



CXCR2
3579
IFNW1 Signature



CYBB
1536
IFNW1 Signature



CYP19A1
1588
IFNW1 Signature



CYP2J2
1573
IFNW1 Signature



DEFB1
1672
IFNW1 Signature



DLL1
28514
IFNW1 Signature



DSC2
1824
IFNW1 Signature



DUSP5
1847
IFNW1 Signature



DUSP7
1849
IFNW1 Signature



DYNLT1
6993
IFNW1 Signature



DYSF
8291
IFNW1 Signature



E2F1
1869
IFNW1 Signature



ECE1
1889
IFNW1 Signature



EDN1
1906
IFNW1 Signature



EGR1
1958
IFNW1 Signature



EIF2AK2
5610
IFNW1 Signature



EIF2B1
1967
IFNW1 Signature



EIF4ENIF1
56478
IFNW1 Signature



ENPP2
5168
IFNW1 Signature



EPB41
2035
IFNW1 Signature



ERCC4
2072
IFNW1 Signature



ETV4
2118
IFNW1 Signature



ETV6
2120
IFNW1 Signature



F8
2157
IFNW1 Signature



FAF1
11124
IFNW1 Signature



FAS
355
IFNW1 Signature



FCER1G
2207
IFNW1 Signature



FGF1
2246
IFNW1 Signature



FGF13
2258
IFNW1 Signature



FGL2
10875
IFNW1 Signature



FLNA
2316
IFNW1 Signature



FMR1
2332
IFNW1 Signature



FOXO1
2308
IFNW1 Signature



FTL
2512
IFNW1 Signature



FUT4
2526
IFNW1 Signature



GADD45B
4616
IFNW1 Signature



GBAP1
2630
IFNW1 Signature



GBP1
2633
IFNW1 Signature



GBP2
2634
IFNW1 Signature



GCH1
2643
IFNW1 Signature



GCNT1
2650
IFNW1 Signature



GLB1
2720
IFNW1 Signature



GLS
2744
IFNW1 Signature



GMPR
2766
IFNW1 Signature



GPR161
23432
IFNW1 Signature



GSTM5
2949
IFNW1 Signature



GUK1
2987
IFNW1 Signature



HBG2
3048
IFNW1 Signature



HHEX
3087
IFNW1 Signature



HIST2H2AA3
8337
IFNW1 Signature



HLA-DOA
3111
IFNW1 Signature



HS6ST1
9394
IFNW1 Signature



HSP90AA1
3320
IFNW1 Signature



HSPA1A
3303
IFNW1 Signature



IDO1
3620
IFNW1 Signature



IFI16
3428
IFNW1 Signature



IFI27
3429
IFNW1 Signature



IFI35
3430
IFNW1 Signature



IFI44
10561
IFNW1 Signature



IFI6
2537
IFNW1 Signature



IFIT1
3434
IFNW1 Signature



IFIT5
24138
IFNW1 Signature



IFITM1
8519
IFNW1 Signature



IFITM2
10581
IFNW1 Signature



IFITM3
10410
IFNW1 Signature



IFRD1
3475
IFNW1 Signature



IGL
3535
IFNW1 Signature



IKBKG
8517
IFNW1 Signature



IL15
3600
IFNW1 Signature



IL15RA
3601
IFNW1 Signature



IL18R1
8809
IFNW1 Signature



IL1RN
3557
IFNW1 Signature



IL6
3569
IFNW1 Signature



IL7
3574
IFNW1 Signature



INPPL1
3636
IFNW1 Signature



IRF1
3659
IFNW1 Signature



IRF2
3660
IFNW1 Signature



IRF7
3665
IFNW1 Signature



IRF8
3394
IFNW1 Signature



ISG15
9636
IFNW1 Signature



ISG20
3669
IFNW1 Signature



ITIH2
3698
IFNW1 Signature



JAK2
3717
IFNW1 Signature



JCHAIN
3512
IFNW1 Signature



JUP
3728
IFNW1 Signature



KCNA3
3738
IFNW1 Signature



KDELR2
11014
IFNW1 Signature



KIF20B
9585
IFNW1 Signature



KLF6
1316
IFNW1 Signature



KPNB1
3837
IFNW1 Signature



KRT8
3856
IFNW1 Signature



LAG3
3902
IFNW1 Signature



LAMP3
27074
IFNW1 Signature



LAP3
51056
IFNW1 Signature



LEPR
3953
IFNW1 Signature



LGALS2
3957
IFNW1 Signature



LGALS3BP
3959
IFNW1 Signature



LGALS9
3965
IFNW1 Signature



LGMN
5641
IFNW1 Signature



LINC00597
81698
IFNW1 Signature



LMNB1
4001
IFNW1 Signature



LMO2
4005
IFNW1 Signature



LY6E
4061
IFNW1 Signature



LYN
4067
IFNW1 Signature



MAP2K5
5607
IFNW1 Signature



MARCKS
4082
IFNW1 Signature



MBNL1
4154
IFNW1 Signature



MCL1
4170
IFNW1 Signature



MED1
5469
IFNW1 Signature



MEF2A
4205
IFNW1 Signature



MGLL
11343
IFNW1 Signature



MLF1
4291
IFNW1 Signature



MMP16
4325
IFNW1 Signature



MNDA
4332
IFNW1 Signature



MRPS15
64960
IFNW1 Signature



MS4A7
58475
IFNW1 Signature



MSR1
4481
IFNW1 Signature



MX1
4599
IFNW1 Signature



MX2
4600
IFNW1 Signature



MYD88
4615
IFNW1 Signature



NAMPT
10135
IFNW1 Signature



NCF1
653361
IFNW1 Signature



NFE2L3
9603
IFNW1 Signature



NKTR
4820
IFNW1 Signature



NMI
9111
IFNW1 Signature



NPTX1
4884
IFNW1 Signature



NR3C1
2908
IFNW1 Signature



NUB1
51667
IFNW1 Signature



NUPR1
26471
IFNW1 Signature



OAS1
4938
IFNW1 Signature



OAS2
4939
IFNW1 Signature



OAS3
4940
IFNW1 Signature



OSBPL1A
114876
IFNW1 Signature



PATJ
10207
IFNW1 Signature



PAX8
7849
IFNW1 Signature



PDGFB
5155
IFNW1 Signature



PDGFRL
5157
IFNW1 Signature



PKD2
5311
IFNW1 Signature



PLEK
5341
IFNW1 Signature



PLSCR1
5359
IFNW1 Signature



PMAIP1
5366
IFNW1 Signature



PML
5371
IFNW1 Signature



PPP2R2A
5520
IFNW1 Signature



PRKAG1
5571
IFNW1 Signature



PRKRA
8575
IFNW1 Signature



PSMB9
5698
IFNW1 Signature



PTCH1
5727
IFNW1 Signature



PTGER2
5732
IFNW1 Signature



RALB
5899
IFNW1 Signature



RBBP6
5930
IFNW1 Signature



RBCK1
10616
IFNW1 Signature



RERE
473
IFNW1 Signature



RGS1
5996
IFNW1 Signature



RGS6
9628
IFNW1 Signature



RPS6KA5
9252
IFNW1 Signature



RTP4
64108
IFNW1 Signature



SAT1
6303
IFNW1 Signature



SCARB2
950
IFNW1 Signature



SDS
10993
IFNW1 Signature



SELL
6402
IFNW1 Signature



SERPIND1
3053
IFNW1 Signature



SERPING1
710
IFNW1 Signature



SFT2D2
375035
IFNW1 Signature



SIT1
27240
IFNW1 Signature



SLC30A4
7782
IFNW1 Signature



SOCS1
8651
IFNW1 Signature



SOS1
6654
IFNW1 Signature



SP100
6672
IFNW1 Signature



SP110
3431
IFNW1 Signature



SP140
11262
IFNW1 Signature



SPIB
6689
IFNW1 Signature



SRRM2
23524
IFNW1 Signature



ST3GAL5
8869
IFNW1 Signature



STAP1
26228
IFNW1 Signature



STAT1
6772
IFNW1 Signature



STAT2
6773
IFNW1 Signature



STX11
8676
IFNW1 Signature



SUPT3H
8464
IFNW1 Signature



TAP1
6890
IFNW1 Signature



TAP2
6891
IFNW1 Signature



TARBP1
6894
IFNW1 Signature



TBX21
30009
IFNW1 Signature



TCN2
6948
IFNW1 Signature



TFDP2
7029
IFNW1 Signature



TFF1
7031
IFNW1 Signature



TGM1
7051
IFNW1 Signature



THY1
7070
IFNW1 Signature



TLR3
7098
IFNW1 Signature



TLR7
51284
IFNW1 Signature



TNFAIP3
7128
IFNW1 Signature



TNFRSF11A
8792
IFNW1 Signature



TNFSF10
8743
IFNW1 Signature



TNFSF6
356
IFNW1 Signature



TNK2
10188
IFNW1 Signature



TOR1B
27348
IFNW1 Signature



TRA2B
6434
IFNW1 Signature



TRD
6964
IFNW1 Signature



TRIM21
6737
IFNW1 Signature



TRIM22
10346
IFNW1 Signature



TRIM34
53840
IFNW1 Signature



TRIM38
10475
IFNW1 Signature



UBA7
7318
IFNW1 Signature



UBE2C
11065
IFNW1 Signature



UBE2L6
9246
IFNW1 Signature



UBE2S
27338
IFNW1 Signature



UNC93B1
81622
IFNW1 Signature



USP18
11274
IFNW1 Signature



USP25
29761
IFNW1 Signature



WARS
7453
IFNW1 Signature



WIPF1
7456
IFNW1 Signature



WT1
7490
IFNW1 Signature



XAF1
54739
IFNW1 Signature



ZNF107
51427
IFNW1 Signature



ACSL1
2180
TYPE I and TYPE II IFN Core



AIM2
9447
TYPE I and TYPE II IFN Core



APOL3
80833
TYPE I and TYPE II IFN Core



ATF3
467
TYPE I and TYPE II IFN Core



CASP1
834
TYPE I and TYPE II IFN Core



CASP10
843
TYPE I and TYPE II IFN Core



CCL8
6355
TYPE I and TYPE II IFN Core



CCND2
894
TYPE I and TYPE II IFN Core



CD38
952
TYPE I and TYPE II IFN Core



CDKN1A
1026
TYPE I and TYPE II IFN Core



CFB
629
TYPE I and TYPE II IFN Core



CXCL10
3627
TYPE I and TYPE II IFN Core



CXCL11
6373
TYPE I and TYPE II IFN Core



CXCL9
4283
TYPE I and TYPE II IFN Core



EDN1
1906
TYPE I and TYPE II IFN Core



EPB41
2035
TYPE I and TYPE II IFN Core



ETV4
2118
TYPE I and TYPE II IFN Core



F8
2157
TYPE I and TYPE II IFN Core



FAS
355
TYPE I and TYPE II IFN Core



GADD45B
4616
TYPE I and TYPE II IFN Core



GBP1
2633
TYPE I and TYPE II IFN Core



GBP2
2634
TYPE I and TYPE II IFN Core



GCH1
2643
TYPE I and TYPE II IFN Core



GCNT1
2650
TYPE I and TYPE II IFN Core



GLS
2744
TYPE I and TYPE II IFN Core



HBG2
3048
TYPE I and TYPE II IFN Core



IDO1
3620
TYPE I and TYPE II IFN Core



IFI27
3429
TYPE I and TYPE II IFN Core



IFI44
10561
TYPE I and TYPE II IFN Core



IL15
3600
TYPE I and TYPE II IFN Core



IL15RA
3601
TYPE I and TYPE II IFN Core



JAK2
3717
TYPE I and TYPE II IFN Core



LAP3
51056
TYPE I and TYPE II IFN Core



LMNB1
4001
TYPE I and TYPE II IFN Core



MRPS15
64960
TYPE I and TYPE II IFN Core



MSR1
4481
TYPE I and TYPE II IFN Core



NKTR
4820
TYPE I and TYPE II IFN Core



NR3C1
2908
TYPE I and TYPE II IFN Core



OAS1
4938
TYPE I and TYPE II IFN Core



OAS3
4940
TYPE I and TYPE II IFN Core



PSMB9
5698
TYPE I and TYPE II IFN Core



PTCH1
5727
TYPE I and TYPE II IFN Core



RGS1
5996
TYPE I and TYPE II IFN Core



SERPING1
710
TYPE I and TYPE II IFN Core



SOCS1
8651
TYPE I and TYPE II IFN Core



SP100
6672
TYPE I and TYPE II IFN Core



STAT1
6772
TYPE I and TYPE II IFN Core



STAT2
6773
TYPE I and TYPE II IFN Core



STX11
8676
TYPE I and TYPE II IFN Core



TAP1
6890
TYPE I and TYPE II IFN Core



TAP2
6891
TYPE I and TYPE II IFN Core



TNFSF10
8743
TYPE I and TYPE II IFN Core



UBE2L6
9246
TYPE I and TYPE II IFN Core



WARS
7453
TYPE I and TYPE II IFN Core



ACSL1
2180
Type I IFN Core Signature



ADAR
103
Type I IFN Core Signature



AGT
183
Type I IFN Core Signature



AIM2
9447
Type I IFN Core Signature



AKAP2
11217
Type I IFN Core Signature



APOBEC3B
9582
Type I IFN Core Signature



APOBEC3G
60489
Type I IFN Core Signature



APOL3
80833
Type I IFN Core Signature



ATF3
467
Type I IFN Core Signature



ATF5
22809
Type I IFN Core Signature



BAG1
573
Type I IFN Core Signature



BARD1
580
Type I IFN Core Signature



BCL7B
9275
Type I IFN Core Signature



BLVRA
644
Type I IFN Core Signature



BRCA1
672
Type I IFN Core Signature



BRCA2
675
Type I IFN Core Signature



BST2
684
Type I IFN Core Signature



CAD
790
Type I IFN Core Signature



CAMK2A
815
Type I IFN Core Signature



CASP1
834
Type I IFN Core Signature



CASP10
843
Type I IFN Core Signature



CASP5
838
Type I IFN Core Signature



CBR1
873
Type I IFN Core Signature



CBWD1
55871
Type I IFN Core Signature



CCL13
6357
Type I IFN Core Signature



CCL7
6354
Type I IFN Core Signature



CCL8
6355
Type I IFN Core Signature



CCNA1
8900
Type I IFN Core Signature



CCND2
894
Type I IFN Core Signature



CD2AP
23607
Type I IFN Core Signature



CD38
952
Type I IFN Core Signature



CD4
920
Type I IFN Core Signature



CD69
969
Type I IFN Core Signature



CDKN1A
1026
Type I IFN Core Signature



CFB
629
Type I IFN Core Signature



CHKA
1119
Type I IFN Core Signature



CNTN6
27255
Type I IFN Core Signature



COL3A1
1281
Type I IFN Core Signature



CTSL
1514
Type I IFN Core Signature



CXCL10
3627
Type I IFN Core Signature



CXCL11
6373
Type I IFN Core Signature



CXCL9
4283
Type I IFN Core Signature



CXCR2
3579
Type I IFN Core Signature



CYP2J2
1573
Type I IFN Core Signature



DEFB1
1672
Type I IFN Core Signature



DLL1
28514
Type I IFN Core Signature



DSC2
1824
Type I IFN Core Signature



DUSP5
1847
Type I IFN Core Signature



DUSP7
1849
Type I IFN Core Signature



DYNLT1
6993
Type I IFN Core Signature



DYSF
8291
Type I IFN Core Signature



ECE1
1889
Type I IFN Core Signature



EDN1
1906
Type I IFN Core Signature



EIF2AK2
5610
Type I IFN Core Signature



EIF2B1
1967
Type I IFN Core Signature



EIF4ENIF1
56478
Type I IFN Core Signature



ENPP2
5168
Type I IFN Core Signature



EPB41
2035
Type I IFN Core Signature



ETV4
2118
Type I IFN Core Signature



F8
2157
Type I IFN Core Signature



FAF1
11124
Type I IFN Core Signature



FAS
355
Type I IFN Core Signature



FASLG
356
Type I IFN Core Signature



FGF1
2246
Type I IFN Core Signature



FLNA
2316
Type I IFN Core Signature



FOXO1
2308
Type I IFN Core Signature



FTL
2512
Type I IFN Core Signature



FUT4
2526
Type I IFN Core Signature



GADD45B
4616
Type I IFN Core Signature



GBAP1
2630
Type I IFN Core Signature



GBP1
2633
Type I IFN Core Signature



GBP2
2634
Type I IFN Core Signature



GCH1
2643
Type I IFN Core Signature



GCNT1
2650
Type I IFN Core Signature



GLS
2744
Type I IFN Core Signature



GMPR
2766
Type I IFN Core Signature



GPR161
23432
Type I IFN Core Signature



GUK1
2987
Type I IFN Core Signature



HBG2
3048
Type I IFN Core Signature



HIST2H2AA3
8337
Type I IFN Core Signature



HLA-DOA
3111
Type I IFN Core Signature



HS6ST1
9394
Type I IFN Core Signature



HSP90AA1
3320
Type I IFN Core Signature



IDO1
3620
Type I IFN Core Signature



IFI16
3428
Type I IFN Core Signature



IFI27
3429
Type I IFN Core Signature



IFI35
3430
Type I IFN Core Signature



IFI44
10561
Type I IFN Core Signature



IFI6
2537
Type I IFN Core Signature



IFIT1
3434
Type I IFN Core Signature



IFIT5
24138
Type I IFN Core Signature



IFITM1
8519
Type I IFN Core Signature



IFITM2
10581
Type I IFN Core Signature



IFITM3
10410
Type I IFN Core Signature



IFRD1
3475
Type I IFN Core Signature



IGL
3535
Type I IFN Core Signature



IKBKG
8517
Type I IFN Core Signature



IL15
3600
Type I IFN Core Signature



IL15RA
3601
Type I IFN Core Signature



IL1RN
3557
Type I IFN Core Signature



IL6
3569
Type I IFN Core Signature



INPPL1
3636
Type I IFN Core Signature



IRF2
3660
Type I IFN Core Signature



IRF7
3665
Type I IFN Core Signature



ISG15
9636
Type I IFN Core Signature



ISG20
3669
Type I IFN Core Signature



JAK2
3717
Type I IFN Core Signature



JUP
3728
Type I IFN Core Signature



KCNA3
3738
Type I IFN Core Signature



KDELR2
11014
Type I IFN Core Signature



KIF20B
9585
Type I IFN Core Signature



KLF6
1316
Type I IFN Core Signature



KPNB1
3837
Type I IFN Core Signature



KRT8
3856
Type I IFN Core Signature



LAG3
3902
Type I IFN Core Signature



LAMP3
27074
Type I IFN Core Signature



LAP3
51056
Type I IFN Core Signature



LEPR
3953
Type I IFN Core Signature



LGALS2
3957
Type I IFN Core Signature



LGALS3BP
3959
Type I IFN Core Signature



LGALS9
3965
Type I IFN Core Signature



LGMN
5641
Type I IFN Core Signature



LMNB1
4001
Type I IFN Core Signature



LMO2
4005
Type I IFN Core Signature



LY6E
4061
Type I IFN Core Signature



MAP2K5
5607
Type I IFN Core Signature



MCL1
4170
Type I IFN Core Signature



MED1
5469
Type I IFN Core Signature



MGLL
11343
Type I IFN Core Signature



MNDA
4332
Type I IFN Core Signature



MRPS15
64960
Type I IFN Core Signature



MSR1
4481
Type I IFN Core Signature



MX1
4599
Type I IFN Core Signature



MX2
4600
Type I IFN Core Signature



MYD88
4615
Type I IFN Core Signature



NAMPT
10135
Type I IFN Core Signature



NFE2L3
9603
Type I IFN Core Signature



NKTR
4820
Type I IFN Core Signature



NMI
9111
Type I IFN Core Signature



NR3C1
2908
Type I IFN Core Signature



NUB1
51667
Type I IFN Core Signature



NUPR1
26471
Type I IFN Core Signature



OAS1
4938
Type I IFN Core Signature



OAS2
4939
Type I IFN Core Signature



OAS3
4940
Type I IFN Core Signature



PATJ
10207
Type I IFN Core Signature



PDGFB
5155
Type I IFN Core Signature



PDGFRL
5157
Type I IFN Core Signature



PKD2
5311
Type I IFN Core Signature



PLSCR1
5359
Type I IFN Core Signature



PMAIP1
5366
Type I IFN Core Signature



PML
5371
Type I IFN Core Signature



PRKRA
8575
Type I IFN Core Signature



PSMB9
5698
Type I IFN Core Signature



PTCH1
5727
Type I IFN Core Signature



RBCK1
10616
Type I IFN Core Signature



RGS1
5996
Type I IFN Core Signature



RGS6
9628
Type I IFN Core Signature



RTP4
64108
Type I IFN Core Signature



SAT1
6303
Type I IFN Core Signature



SCARB2
950
Type I IFN Core Signature



SERPING1
710
Type I IFN Core Signature



SIT1
27240
Type I IFN Core Signature



SOCS1
8651
Type I IFN Core Signature



SP100
6672
Type I IFN Core Signature



SP110
3431
Type I IFN Core Signature



SP140
11262
Type I IFN Core Signature



SPIB
6689
Type I IFN Core Signature



ST3GAL5
8869
Type I IFN Core Signature



STAP1
26228
Type I IFN Core Signature



STAT1
6772
Type I IFN Core Signature



STAT2
6773
Type I IFN Core Signature



STX11
8676
Type I IFN Core Signature



SUPT3H
8464
Type I IFN Core Signature



TAPI
6890
Type I IFN Core Signature



TAP2
6891
Type I IFN Core Signature



TARBP1
6894
Type I IFN Core Signature



TCN2
6948
Type I IFN Core Signature



TFDP2
7029
Type I IFN Core Signature



TGM1
7051
Type I IFN Core Signature



TLR3
7098
Type I IFN Core Signature



TLR7
51284
Type I IFN Core Signature



TNFRSF11A
8792
Type I IFN Core Signature



TNFSF10
8743
Type I IFN Core Signature



TNK2
10188
Type I IFN Core Signature



TOR1B
27348
Type I IFN Core Signature



TRA2B
6434
Type I IFN Core Signature



TRD
6964
Type I IFN Core Signature



TRIM21
6737
Type I IFN Core Signature



TRIM22
10346
Type I IFN Core Signature



TRIM34
53840
Type I IFN Core Signature



TRIM38
10475
Type I IFN Core Signature



UBA7
7318
Type I IFN Core Signature



UBE2L6
9246
Type I IFN Core Signature



UBE2S
27338
Type I IFN Core Signature



UNC93B1
81622
Type I IFN Core Signature



USP18
11274
Type I IFN Core Signature



WARS
7453
Type I IFN Core Signature



WT1
7490
Type I IFN Core Signature



XAF1
54739
Type I IFN Core Signature




















Table of UCSC Eils Lung Modified











geneSymbol
geneEntrezID
GeneSet















ABCA1
19
AT1_Cat



ADIRF
10974
AT1_Cat



AGER
177
AT1_Cat



ANKRD29
147463
AT1_Cat



AQP4
361
AT1_Cat



ARAP2
116984
AT1_Cat



ARHGEF26
26084
AT1_Cat



ATF7IP2
80063
AT1_Cat



CAV1
857
AT1_Cat



CAV2
858
AT1_Cat



CCDC85A
114800
AT1_Cat



CLDN18
51208
AT1_Cat



CLIC5
53405
AT1_Cat



CNTN6
27255
AT1_Cat



COL4A4
1286
AT1_Cat



CYP4B1
1580
AT1_Cat



CYR61
3491
AT1_Cat



DAPK2
23604
AT1_Cat



DOCK4
9732
AT1_Cat



EMP2
2013
AT1_Cat



EPB41L5
57669
AT1_Cat



FAM189A2
9413
AT1_Cat



GALNT13
114805
AT1_Cat



GPC5
2262
AT1_Cat



GPM6A
2823
AT1_Cat



HOMER1
9456
AT1_Cat



KAL1
3730
AT1_Cat



KCNT2
343450
AT1_Cat



KHDRBS2
202559
AT1_Cat



KRT18
3875
AT1_Cat



KRT19
3880
AT1_Cat



KRT7
3855
AT1_Cat



LAMA3
3909
AT1_Cat



LIN7A
8825
AT1_Cat



LINC00842
643650
AT1_Cat



MAP2
4133
AT1_Cat



MS4A15
219995
AT1_Cat



MYO16
23026
AT1_Cat



MYO16-AS1
100885782
AT1_Cat



NEBL
10529
AT1_Cat



NTM
50863
AT1_Cat



PAPSS2
9060
AT1_Cat



PHLDB2
90102
AT1_Cat



PLCE1
51196
AT1_Cat



PTPN21
11099
AT1_Cat



RANBP17
64901
AT1_Cat



RHOBTB3
22836
AT1_Cat



ROR1
4919
AT1_Cat



S100A10
6281
AT1_Cat



SCD5
79966
AT1_Cat



SCEL
8796
AT1_Cat



SLC1A1
6505
AT1_Cat



SLC39A8
64116
AT1_Cat



SLC8A1-AS1
100128590
AT1_Cat



SPOCK2
9806
AT1_Cat



SRPX2
27286
AT1_Cat



ST6GALNAC5
81849
AT1_Cat



TNFRSF12A
51330
AT1_Cat



TSPAN13
27075
AT1_Cat



VEGFA
7422
AT1_Cat



ABCA3
21
AT2_Cat



ABCC9
10060
AT2_Cat



ACOXL
55289
AT2_Cat



AGBL1
123624
AT2_Cat



AGR2
10551
AT2_Cat



ALPL
249
AT2_Cat



ARRDC3
57561
AT2_Cat



C3
718
AT2_Cat



C8orf34
116328
AT2_Cat



C8orf4
56892
AT2_Cat



CACHD1
57685
AT2_Cat



CCDC141
285025
AT2_Cat



COLEC12
81035
AT2_Cat



CTSH
1512
AT2_Cat



DLG2
1740
AT2_Cat



DLGAP1
9229
AT2_Cat



DMBT1
1755
AT2_Cat



ETV1
2115
AT2_Cat



ETV5
2119
AT2_Cat



FAM155A
728215
AT2_Cat



FLRT3
23767
AT2_Cat



FNIP2
57600
AT2_Cat



FREM2
341640
AT2_Cat



HHIP
64399
AT2_Cat



KCNJ15
3772
AT2_Cat



KCNQ3
3786
AT2_Cat



KIAA1324L
222223
AT2_Cat



LEPREL1
55214
AT2_Cat



LHFPL3
375612
AT2_Cat



LINC01090
104355152
AT2_Cat



LRP2BP
55805
AT2_Cat



LRRK2
120892
AT2_Cat



MACROD2
140733
AT2_Cat



MAPK10
5602
AT2_Cat



MFSD2A
84879
AT2_Cat



NAPSA
9476
AT2_Cat



NECAB1
64168
AT2_Cat



NTN4
59277
AT2_Cat



PARM1
25849
AT2_Cat



PCDH9
5101
AT2_Cat



PCDP1
200373
AT2_Cat



PCYOX1
51449
AT2_Cat



PGC
5225
AT2_Cat



PTGFR
5737
AT2_Cat



PTPN13
5783
AT2_Cat



RASGRF1
5923
AT2_Cat



RGS16
6004
AT2_Cat



RND1
27289
AT2_Cat



SCN1A
6323
AT2_Cat



SDR16C5
195814
AT2_Cat



SERPINA1
5265
AT2_Cat



SFTPA2
729238
AT2_Cat



SFTPC
6440
AT2_Cat



SFTPD
6441
AT2_Cat



TMEM163
81615
AT2_Cat



TMEM164
84187
AT2_Cat



TTN
7273
AT2_Cat



WIF1
11197
AT2_Cat



ZNF385B
151126
AT2_Cat



ADGB
79747
Ciliated



AGBL4
84871
Ciliated



AK9
221264
Ciliated



ANKFN1
162282
Ciliated



AQP4-AS1
147429
Ciliated



ARMC3
219681
Ciliated



C12orf55
144535
Ciliated



C20orf26
26074
Ciliated



C20orf85
128602
Ciliated



C21orf58
54058
Ciliated



C4orf47
441054
Ciliated



C9orf117
286207
Ciliated



C9orf171
389799
Ciliated



CAPS
828
Ciliated



CCDC146
57639
Ciliated



CCDC17
149483
Ciliated



CCDC170
80129
Ciliated



CCDC30
728621
Ciliated



CCDC42B
387885
Ciliated



CCDC78
124093
Ciliated



CLEC19A
728276
Ciliated



DCDC1
341019
Ciliated



DNAAF1
123872
Ciliated



DNAH11
8701
Ciliated



DNAH12
201625
Ciliated



DNAH3
55567
Ciliated



DNAH6
1768
Ciliated



DNAH7
56171
Ciliated



DNAI2
64446
Ciliated



DPPA2
151871
Ciliated



DTHD1
401124
Ciliated



DYNC2H1
79659
Ciliated



ECT2L
345930
Ciliated



ESRRG
2104
Ciliated



FABP6
2172
Ciliated



FAM154B
283726
Ciliated



FHAD1
114827
Ciliated



IFLTD1
160492
Ciliated



KIAA0825
285600
Ciliated



KIAA1377
57562
Ciliated



LRGUK
136332
Ciliated



LRRC48
83450
Ciliated



MROH9
80133
Ciliated



MS4A8
83661
Ciliated



NEK10
152110
Ciliated



NEK11
79858
Ciliated



NELL2
4753
Ciliated



PACRG
135138
Ciliated



PRMT8
56341
Ciliated



PTPRT
11122
Ciliated



PTRH1
138428
Ciliated



RP1
6101
Ciliated



RSPH1
89765
Ciliated



SLCO2B1
11309
Ciliated



SPAG16
79582
Ciliated



SPEF2
79925
Ciliated



TEKT1
83659
Ciliated



TMEM232
642987
Ciliated



TPPP3
51673
Ciliated



TSPAN19
144448
Ciliated



TTC18
118491
Ciliated



TTC29
83894
Ciliated



ULK4
54986
Ciliated



VWA3A
146177
Ciliated



VWA3B
200403
Ciliated



WDR78
79819
Ciliated



WDR96
80217
Ciliated



ZBBX
79740
Ciliated



ZMYND10
51364
Ciliated



AADAC
13
Club



ADAM28
10863
Club



AGR3
155465
Club



BMP6
654
Club



BPIFB1
92747
Club



CASC15
401237
Club



CFH
3075
Club



CHST9
83539
Club



CIT
11113
Club



CLIC6
54102
Club



CLU
1191
Club



CNTN4
152330
Club



CP
1356
Club



CXCL2
2920
Club



ERN2
10595
Club



EYA2
2139
Club



FAM129A
116496
Club



FGFR2
2263
Club



FMO2
2327
Club



FOLR1
2348
Club



FRAS1
80144
Club



GDF15
9518
Club



GLIS3
169792
Club



HS3ST5
222537
Club



KCNQ5
56479
Club



KIAA1324
57535
Club



KLK10
5655
Club



KLK11
11012
Club



KRT15
3866
Club



LINC00511
400619
Club



MAGI2
9863
Club



MIR205HG
642587
Club



MME
4311
Club



MMP7
4316
Club



MT-CO1
4512
Club



MT-CO2
4513
Club



MT-ND1
4535
Club



MT-ND3
4537
Club



MUC4
4585
Club



NCEH1
57552
Club



NHS
4810
Club



NTN1
9423
Club



PIGR
5284
Club



PLCL1
5334
Club



PRSS12
8492
Club



SAA1
6288
Club



SCGB1A1
7356
Club



SOX4
6659
Club



SRGAP3
9901
Club



TP63
8626
Club



VTCN1
79679
Club



WFDC2
10406
Club



AKT3
10000
Endothelial



ANO2
57101
Endothelial



AQP1
358
Endothelial



BST2
684
Endothelial



C10orf10
11067
Endothelial



CA4
762
Endothelial



CLDN5
7122
Endothelial



CLEC14A
161198
Endothelial



COL4A2
1284
Endothelial



CTNNAL1
8727
Endothelial



CYYR1
116159
Endothelial



DARC
2532
Endothelial



DPYSL3
1809
Endothelial



ELTD1
64123
Endothelial



EMP1
2012
Endothelial



ENPP2
5168
Endothelial



EXOC6
54536
Endothelial



FLI1
2313
Endothelial



FLT1
2321
Endothelial



FOXO1
2308
Endothelial



GNG11
2791
Endothelial



HLA-E
3133
Endothelial



ICAM2
3384
Endothelial



IGFBP4
3487
Endothelial



IL33
90865
Endothelial



ITGA1
3672
Endothelial



ITM2A
9452
Endothelial



MEF2C
4208
Endothelial



MEIS2
4212
Endothelial



PALMD
54873
Endothelial



PLCB1
23236
Endothelial



PLCB4
5332
Endothelial



PREX2
80243
Endothelial



PRSS23
11098
Endothelial



PTPRB
5787
Endothelial



RAMP2
10266
Endothelial



SEMA6A
57556
Endothelial



SH3BP5
9467
Endothelial



SLCO2A1
6578
Endothelial



SOCS3
9021
Endothelial



SPARC
6678
Endothelial



TCF4
6925
Endothelial



TGFBR3
7049
Endothelial



THBD
7056
Endothelial



TM4SF1
4071
Endothelial



3-Mar
115123
Lymphatic_Endothelium



AKAP12
9590
Lymphatic_Endothelium



CCL21
6366
Lymphatic_Endothelium



CNKSR3
154043
Lymphatic_Endothelium



CNTNAP3B
728577
Lymphatic_Endothelium



COL8A1
1295
Lymphatic_Endothelium



EPB41L3
23136
Lymphatic_Endothelium



FABP4
2167
Lymphatic_Endothelium



FLRT2
23768
Lymphatic_Endothelium



FLT4
2324
Lymphatic_Endothelium



GRAPL
400581
Lymphatic_Endothelium



KALRN
8997
Lymphatic_Endothelium



KCNIP4
80333
Lymphatic_Endothelium



KLHL4
56062
Lymphatic_Endothelium



NPAS3
64067
Lymphatic_Endothelium



NRP2
8828
Lymphatic_Endothelium



PDE1A
5136
Lymphatic_Endothelium



PDE7B
27115
Lymphatic_Endothelium



PKHD1L1
93035
Lymphatic_Endothelium



PPFIBP1
8496
Lymphatic_Endothelium



PROX1
5629
Lymphatic_Endothelium



RELN
5649
Lymphatic_Endothelium



RHOJ
57381
Lymphatic_Endothelium



SEMA3D
223117
Lymphatic_Endothelium



SMOC2
64094
Lymphatic_Endothelium



SNTG2
54221
Lymphatic_Endothelium



ST6GALNAC3
256435
Lymphatic_Endothelium



STON2
85439
Lymphatic_Endothelium



TFF3
7033
Lymphatic_Endothelium



TFPI
7035
Lymphatic_Endothelium



TSHZ2
128553
Lymphatic_Endothelium



TSPAN5
10098
Lymphatic_Endothelium



VAV3
10451
Lymphatic_Endothelium



ZDHHC14
79683
Lymphatic_Endothelium



ZNF521
25925
Lymphatic_Endothelium




















Table of All Myeloid Populations









geneSymbol
EntrezID
Category












ANXA1
301
AQP1+ interstitial macrophages steady-state synovium


AQP1
358
AQP1+ interstitial macrophages steady-state synovium


CD9
928
AQP1+ interstitial macrophages steady-state synovium


FXYD2
486
AQP1+ interstitial macrophages steady-state synovium


LYVE1
10894
AQP1+ interstitial macrophages steady-state synovium


TPPP3
51673
AQP1+ interstitial macrophages steady-state synovium


APOE
348
CX3CR1+ lining macrophages steady-state synovium


CAMK1
8536
CX3CR1+ lining macrophages steady-state synovium


CCL3L3
414062
CX3CR1+ lining macrophages steady-state synovium


CD83
9308
CX3CR1+ lining macrophages steady-state synovium


CTSD
1509
CX3CR1+ lining macrophages steady-state synovium


FN1
2335
CX3CR1+ lining macrophages steady-state synovium


FOLR2
2350
CX3CR1+ lining macrophages steady-state synovium


GRN
2896
CX3CR1+ lining macrophages steady-state synovium


HEXB
3074
CX3CR1+ lining macrophages steady-state synovium


LTC4S
4056
CX3CR1+ lining macrophages steady-state synovium


LYZ
4069
CX3CR1+ lining macrophages steady-state synovium


MAN2B1
4125
CX3CR1+ lining macrophages steady-state synovium


NFKBIA
4792
CX3CR1+ lining macrophages steady-state synovium


NUPR1
26471
CX3CR1+ lining macrophages steady-state synovium


PLTP
5360
CX3CR1+ lining macrophages steady-state synovium


S100B
6285
CX3CR1+ lining macrophages steady-state synovium


SPARC
6678
CX3CR1+ lining macrophages steady-state synovium


SRGN
5552
CX3CR1+ lining macrophages steady-state synovium


SYNGR1
9145
CX3CR1+ lining macrophages steady-state synovium


TIMP2
7077
CX3CR1+ lining macrophages steady-state synovium


TMEM37
140738
CX3CR1+ lining macrophages steady-state synovium


TREM2
54209
CX3CR1+ lining macrophages steady-state synovium


VSIG4
11326
CX3CR1+ lining macrophages steady-state synovium


CD52
1043
MHCII+ interstitial macrophages steady-state synovium


CD74
972
MHCII+ interstitial macrophages steady-state synovium


CLEC10A
10462
MHCII+ interstitial macrophages steady-state synovium


CLEC4A
50856
MHCII+ interstitial macrophages steady-state synovium


CORO1A
11151
MHCII+ interstitial macrophages steady-state synovium


GM2A
2760
MHCII+ interstitial macrophages steady-state synovium


HLA-DMA
3108
MHCII+ interstitial macrophages steady-state synovium


HLA-DQA1
3117
MHCII+ interstitial macrophages steady-state synovium


HLA-DQB1
3119
MHCII+ interstitial macrophages steady-state synovium


HLA-DRB5
3127
MHCII+ interstitial macrophages steady-state synovium


LSP1
4046
MHCII+ interstitial macrophages steady-state synovium


PIM1
5292
MHCII+ interstitial macrophages steady-state synovium


CCL13
6357
RELM-α+ interstitial macrophages steady-state synovium


CCL7
6354
RELM-α+ interstitial macrophages steady-state synovium


CXCL3
2921
RELM-α+ interstitial macrophages steady-state synovium


DUSP1
1843
RELM-α+ interstitial macrophages steady-state synovium


ZFP36
7538
RELM-α+ interstitial macrophages steady-state synovium


JUNB
3726
RELM-α+ interstitial macrophages steady-state synovium


PF4
5196
RELM-α+ interstitial macrophages steady-state synovium


FOS
2353
RELM-α+ interstitial macrophages steady-state synovium


ATF3
467
RELM-α+ interstitial macrophages steady-state synovium


MT1A
4489
RELM-α+ interstitial macrophages steady-state synovium


IER3
8870
RELM-α+ interstitial macrophages steady-state synovium


CCL4
6351
RELM-α+ interstitial macrophages steady-state synovium


NFKBIA
4792
RELM-α+ interstitial macrophages steady-state synovium


CCL24
6369
RELM-α+ interstitial macrophages steady-state synovium


MARCKSL1
65108
RELM-α+ interstitial macrophages steady-state synovium


CXCL13
10563
RELM-α+ interstitial macrophages steady-state synovium


JUN
3725
RELM-α+ interstitial macrophages steady-state synovium


CCL3L3
414062
RELM-α+ interstitial macrophages steady-state synovium


MT2A
4502
RELM-α+ interstitial macrophages steady-state synovium


KLF6
1316
RELM-α+ interstitial macrophages steady-state synovium


PIM1
5292
RELM-α+ interstitial macrophages steady-state synovium


IFITM3
10410
RELM-α+ interstitial macrophages steady-state synovium


CD83
9308
RELM-α+ interstitial macrophages steady-state synovium


BTG2
7832
RELM-α+ interstitial macrophages steady-state synovium


KLF4
9314
RELM-α+ interstitial macrophages steady-state synovium


HSPA1A
3303
RELM-α+ interstitial macrophages steady-state synovium


UBC
7316
RELM-α+ interstitial macrophages steady-state synovium


IER2
9592
RELM-α+ interstitial macrophages steady-state synovium


MRC1
4360
RELM-α+ interstitial macrophages steady-state synovium


MCL1
4170
RELM-α+ interstitial macrophages steady-state synovium


MAF
4094
RELM-α+ interstitial macrophages steady-state synovium


ANXA1
301
STMN1+ proliferating cells steady-state synovium


ANXA2
302
STMN1+ proliferating cells steady-state synovium


ARL6IP1
23204
STMN1+ proliferating cells steady-state synovium


ATP5IF1
93974
STMN1+ proliferating cells steady-state synovium


BIRC5
332
STMN1+ proliferating cells steady-state synovium


CBX3
11335
STMN1+ proliferating cells steady-state synovium


CD74
972
STMN1+ proliferating cells steady-state synovium


GAPDH
2597
STMN1+ proliferating cells steady-state synovium


H2AFZ
3015
STMN1+ proliferating cells steady-state synovium


HMGB1
3146
STMN1+ proliferating cells steady-state synovium


HMGB2
3148
STMN1+ proliferating cells steady-state synovium


HNRNPA3
79366
STMN1+ proliferating cells steady-state synovium


JPT1
51155
STMN1+ proliferating cells steady-state synovium


LDHA
3939
STMN1+ proliferating cells steady-state synovium


LGALS1
3956
STMN1+ proliferating cells steady-state synovium


LGALS3
3958
STMN1+ proliferating cells steady-state synovium


MIF
4282
STMN1+ proliferating cells steady-state synovium


NCL
4691
STMN1+ proliferating cells steady-state synovium


NME1
4830
STMN1+ proliferating cells steady-state synovium


NPM1
4869
STMN1+ proliferating cells steady-state synovium


PKM
5315
STMN1+ proliferating cells steady-state synovium


PLP2
5355
STMN1+ proliferating cells steady-state synovium


PTMA
5757
STMN1+ proliferating cells steady-state synovium


RAN
5901
STMN1+ proliferating cells steady-state synovium


RANBP1
5902
STMN1+ proliferating cells steady-state synovium


RBM3
5935
STMN1+ proliferating cells steady-state synovium


S100A10
6281
STMN1+ proliferating cells steady-state synovium


S100A11
6282
STMN1+ proliferating cells steady-state synovium


SLC25A5
292
STMN1+ proliferating cells steady-state synovium


SNRPE
6635
STMN1+ proliferating cells steady-state synovium


SNRPG
6637
STMN1+ proliferating cells steady-state synovium


STMN1
3925
STMN1+ proliferating cells steady-state synovium


TAGLN2
8407
STMN1+ proliferating cells steady-state synovium


TMSB10
9168
STMN1+ proliferating cells steady-state synovium


TUBA1B
10376
STMN1+ proliferating cells steady-state synovium


TUBA1C
84790
STMN1+ proliferating cells steady-state synovium


TUBB
203068
STMN1+ proliferating cells steady-state synovium


TUBB4B
10383
STMN1+ proliferating cells steady-state synovium


TXN
7295
STMN1+ proliferating cells steady-state synovium


UBE2C
11065
STMN1+ proliferating cells steady-state synovium


VIM
7431
STMN1+ proliferating cells steady-state synovium


ACTB
60
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ACTG1
71
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ACTR3
10096
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ADAM8
101
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ADORA2B
136
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ADSSL1
122622
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


AGPAT4
56895
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ALAS1
211
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ALDOA
226
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ALOX5AP
241
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ANKRD11
29123
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ANXA2
302
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


APRT
353
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ARF1
375
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ARF5
381
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ARHGDIB
397
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ARPC1B
10095
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ARPC2
10109
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ARPC3
10094
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ARPC4
10093
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ATF3
467
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ATP5C1
509
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ATP5F1
515
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


B4GALNT1
2583
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


BAK1
578
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


BIN2
51411
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


BIRC3
330
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


BTF3
689
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


BTG1
694
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


BTG2
7832
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


C19orf38
255809
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


C19orf53
28974
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


C5AR1
728
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


C5orf30
90355
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CAPZA2
830
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CAPZB
832
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CASP6
839
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CCDC12
151903
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CCL13
6357
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CCL3L3
414062
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CCND3
896
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CCNL1
57018
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CCR1
1230
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CCR2
729230
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CCRL2
9034
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CD14
929
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CD52
1043
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CD53
963
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CD86
942
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CDK2AP2
10263
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CDKN1A
1026
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CDKN2D
1032
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CFP
5199
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CHD7
55636
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CHMP4B
128866
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CISD2
493856
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CLEC4A
50856
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CLEC4D
338339
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CLEC4E
26253
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CLEC6A
93978
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CLIC1
1192
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CNN2
1265
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


COPE
11316
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CORO1A
11151
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CORO1B
57175
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


COTL1
23406
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CSF2RB
1439
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CTSC
1075
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CTSH
1512
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CXCL3
2921
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CYP4F2
8529
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


CYTIP
9595
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


DDX39A
10212
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


DENND4A
10260
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


DMKN
93099
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


DUSP1
1843
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


EIF3F
8665
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


EIF3H
8667
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


EIF3K
27335
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


EIF4A1
1973
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


EIF5A
1984
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


EMB
133418
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


EMD
2010
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


EMILIN2
84034
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ENO1
2023
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ERP44
23071
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ESD
2098
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


EVL
51466
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


F10
2159
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FAM107B
83641
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FAM49B
51571
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FAM96A
84191
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FAU
2197
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FCER1G
2207
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FCGR1A
2209
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FERMT3
83706
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FES
2242
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FGR
2268
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FIS1
51024
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FLOT1
10211
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FOS
2353
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FOSL2
2355
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FXYD5
53827
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


FYB
2533
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GADD45B
4616
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GADD45G
10912
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GAPDH
2597
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GCSH
2653
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GDA
9615
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GDI2
2665
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GLIPR2
152007
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GLRX
2745
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GM2A
2760
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GMFG
9535
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GNB2
2783
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GNGT2
2793
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GPR132
29933
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GSDMD
79792
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


GSR
2936
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


H2AFJ
55766
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


H2AFY
9555
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


H3F3A
3020
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HCK
3055
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HCLS1
3059
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HEBP1
50865
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HIF1A
3091
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HLA-DMA
3108
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HLA-DMB
3109
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HM13
81502
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HMGCL
3155
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HNRNPA3
220988
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HNRNPDL
9987
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HNRNPK
3190
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HP
3240
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HPCAL1
3241
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HSPA5
3309
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


HSPA8
3312
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ID2
3398
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IER3
8870
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IFI16
3428
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IFITM2
10581
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IFITM3
10410
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IFNAR2
3455
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IFNGR1
3459
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IFNGR2
3460
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IFRD1
3475
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IGSF6
10261
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IL17RA
23765
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IL18
3606
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IL1B
3553
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IL1RN
3557
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


IRF5
3663
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ISCU
23479
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ITGB2
3689
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ITGB7
3695
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


JARID2
3720
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


JUN
3725
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


JUNB
3726
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


KDM6B
23135
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


KDM7A
80853
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LDHA
3939
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LGALS3
3958
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LILRB3
11025
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LIMD2
80774
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LITAF
9516
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LMAN2
10960
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LMNB1
4001
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LRP10
26020
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LRRC25
126364
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LRRFIP1
9208
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LSP1
4046
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LTB4R
1241
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LY6E
4061
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


LYN
4067
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MANF
7873
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MAP2K3
5606
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MCUB
55013
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MEFV
4210
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MGST1
4257
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MILR1
284021
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MMP19
4327
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MPEG1
219972
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MRPL33
9553
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MRPL52
122704
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MSR1
4481
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MSRB1
51734
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MXD1
4084
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MYD88
4615
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MYL12A
10627
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


MYL12B
103910
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NAPSA
9476
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NCF2
4688
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NCF4
4689
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NDEL1
81565
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NDUFA3
4696
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NFE2L2
4780
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NFKBIA
4792
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NFKBIB
4793
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NFKBIZ
64332
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NMI
9111
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NOP53
29997
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NR4A1
3164
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NR4A2
4929
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


NRROS
375387
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


OSM
5008
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PDE4B
5142
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PDIA6
10130
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PGK1
5230
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PHLDA1
22822
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PICALM
8301
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PID1
55022
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PIM1
5292
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PITPNA
5306
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PKM
5315
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PLA2G7
7941
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PLAC8
51316
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PLAUR
5329
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PLBD1
79887
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PLD4
122618
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PLEK
5341
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PLIN2
123
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


POLD4
57804
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


POR
5447
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PPP1CA
5499
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PPP1R15A
23645
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PPP4C
5531
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PPT1
5538
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PRDX5
25824
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PRDX6
9588
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PSMA1
5682
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PSMA7
5688
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PSMB10
5699
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PSMB8
5696
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PSMB9
5698
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PSME1
5720
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PSME2
5721
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PSTPIP1
9051
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PTPN1
5770
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PTPN6
5777
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PTPRC
5788
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PXK
54899
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


PYCARD
29108
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RAB32
10981
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RAC2
5880
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RBM3
5935
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RBM39
9584
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RGCC
28984
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RGS2
5997
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RHOG
391
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RNF149
284996
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RNH1
6050
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RNPEP
6051
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL10
6134
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL13
6137
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL15
6138
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL17
6139
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL18
6141
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL18A
6142
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL19
6143
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL24
6152
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL27
6155
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL27A
6157
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL34
6164
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL36AL
6166
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL4
6124
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL8
6132
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPL9
6133
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPLP0
6175
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPS14
6208
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPS15A
6210
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPS16
6217
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPS18
6222
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPS19
6223
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPS27
6232
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPS27A
6233
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPS3
6188
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPS6
6194
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPS7
6201
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPS9
6203
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RPSA
3921
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


RUNX3
864
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


S100A11
6282
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SAMHD1
25939
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SBNO2
22904
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SCAND1
51282
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SDE2
163859
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SEC61B
10952
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SEC61G
23480
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SELPLG
6404
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SERP1
27230
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SF3B1
23451
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SF3B6
51639
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SHISA5
51246
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SIRPB1
10326
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SKAP2
8935
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SLC15A3
51296
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SLC16A3
9123
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SLC25A5
292
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SLC7A11
23657
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SLFN5
162394
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SMIM3
85027
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SMOX
54498
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SMPDL3A
10924
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SNX1
6642
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SOCS3
9021
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SOD2
6648
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SPCS2
9789
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SRGN
5552
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SRSF3
6428
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SRSF5
6430
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SSR2
6746
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ST3GAL4
6484
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SUB1
10923
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


SYS1
90196
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TALDO1
6888
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TARM1
441864
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TGFB1
7040
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TGFBI
7045
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TGIF1
7050
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TGM2
7052
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


THBS1
7057
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TKT
7086
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TLR2
7097
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TM6SF1
53346
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TMA7
51372
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TMBIM6
7009
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TMED2
10959
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TMED5
50999
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TMEM14C
51522
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TMEM167A
153339
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TMEM258
746
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TMSB10
9168
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TNFRSF1A
7132
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TOR1A
1861
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TOR1AIP1
26092
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TPD52
7163
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TPM4
7171
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TPST2
8459
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TRAF1
7185
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TRAM1
23471
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TREM1
54210
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TRIB1
10221
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TRPS1
7227
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TSPO
706
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TWF2
11344
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


TYROBP
7305
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


UBA52
7311
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


UBC
7316
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


UBE2D3
7323
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


UBE2L3
7332
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


UBE2N
7334
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


UCK2
7371
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


UCP2
7351
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


UQCRC1
7384
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


VAMP4
8674
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


VASP
7408
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


VCAN
1462
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


VMP1
81671
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


XBP1
7494
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ZBP1
81030
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ZEB2
9839
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ZFP36
7538
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ZNF705A
440077
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ZYX
7791
CCR2+IL1B+ infiltrating macrophages inflammatory arthritis




synovium


ABCA1
19
CX3CR1+ lining macrophages inflammatory arthritis synovium


ABHD12
26090
CX3CR1+ lining macrophages inflammatory arthritis synovium


ADAM15
8751
CX3CR1+ lining macrophages inflammatory arthritis synovium


ADGRE5
976
CX3CR1+ lining macrophages inflammatory arthritis synovium


AHNAK2
113146
CX3CR1+ lining macrophages inflammatory arthritis synovium


AKR1B1
231
CX3CR1+ lining macrophages inflammatory arthritis synovium


ALDH2
217
CX3CR1+ lining macrophages inflammatory arthritis synovium


ALOX5
240
CX3CR1+ lining macrophages inflammatory arthritis synovium


ANG
283
CX3CR1+ lining macrophages inflammatory arthritis synovium


ANXA3
306
CX3CR1+ lining macrophages inflammatory arthritis synovium


APOE
348
CX3CR1+ lining macrophages inflammatory arthritis synovium


APP
351
CX3CR1+ lining macrophages inflammatory arthritis synovium


ARL11
115761
CX3CR1+ lining macrophages inflammatory arthritis synovium


ARSB
411
CX3CR1+ lining macrophages inflammatory arthritis synovium


ASAH1
427
CX3CR1+ lining macrophages inflammatory arthritis synovium


ASS1
445
CX3CR1+ lining macrophages inflammatory arthritis synovium


ATP6AP1
537
CX3CR1+ lining macrophages inflammatory arthritis synovium


ATRAID
51374
CX3CR1+ lining macrophages inflammatory arthritis synovium


AXL
558
CX3CR1+ lining macrophages inflammatory arthritis synovium


B2M
567
CX3CR1+ lining macrophages inflammatory arthritis synovium


BCL2A1
597
CX3CR1+ lining macrophages inflammatory arthritis synovium


BIN1
274
CX3CR1+ lining macrophages inflammatory arthritis synovium


BLNK
29760
CX3CR1+ lining macrophages inflammatory arthritis synovium


BLVRB
645
CX3CR1+ lining macrophages inflammatory arthritis synovium


BMP2K
55589
CX3CR1+ lining macrophages inflammatory arthritis synovium


C1QA
712
CX3CR1+ lining macrophages inflammatory arthritis synovium


C1QB
713
CX3CR1+ lining macrophages inflammatory arthritis synovium


C1QC
714
CX3CR1+ lining macrophages inflammatory arthritis synovium


C3AR1
719
CX3CR1+ lining macrophages inflammatory arthritis synovium


C3orf70
285382
CX3CR1+ lining macrophages inflammatory arthritis synovium


C4B
721
CX3CR1+ lining macrophages inflammatory arthritis synovium


C9orf3
84909
CX3CR1+ lining macrophages inflammatory arthritis synovium


CAMK1
8536
CX3CR1+ lining macrophages inflammatory arthritis synovium


CC2D1B
200014
CX3CR1+ lining macrophages inflammatory arthritis synovium


CCL3L3
414062
CX3CR1+ lining macrophages inflammatory arthritis synovium


CD109
135228
CX3CR1+ lining macrophages inflammatory arthritis synovium


CD151
977
CX3CR1+ lining macrophages inflammatory arthritis synovium


CD37
951
CX3CR1+ lining macrophages inflammatory arthritis synovium


CD40
958
CX3CR1+ lining macrophages inflammatory arthritis synovium


CD63
967
CX3CR1+ lining macrophages inflammatory arthritis synovium


CD83
9308
CX3CR1+ lining macrophages inflammatory arthritis synovium


CD84
8832
CX3CR1+ lining macrophages inflammatory arthritis synovium


CD9
928
CX3CR1+ lining macrophages inflammatory arthritis synovium


CDKN2C
1031
CX3CR1+ lining macrophages inflammatory arthritis synovium


CEBPA
1050
CX3CR1+ lining macrophages inflammatory arthritis synovium


CEBPG
1054
CX3CR1+ lining macrophages inflammatory arthritis synovium


CEBPZOS
1.01E+08
CX3CR1+ lining macrophages inflammatory arthritis synovium


CFH
3075
CX3CR1+ lining macrophages inflammatory arthritis synovium


CHD9
80205
CX3CR1+ lining macrophages inflammatory arthritis synovium


CHST1
8534
CX3CR1+ lining macrophages inflammatory arthritis synovium


CLEC12A
160364
CX3CR1+ lining macrophages inflammatory arthritis synovium


CLIC4
25932
CX3CR1+ lining macrophages inflammatory arthritis synovium


COLEC12
81035
CX3CR1+ lining macrophages inflammatory arthritis synovium


COMMD10
51397
CX3CR1+ lining macrophages inflammatory arthritis synovium


COMT
1312
CX3CR1+ lining macrophages inflammatory arthritis synovium


COTL1
23406
CX3CR1+ lining macrophages inflammatory arthritis synovium


CREG1
8804
CX3CR1+ lining macrophages inflammatory arthritis synovium


CRLF2
64109
CX3CR1+ lining macrophages inflammatory arthritis synovium


CSF1R
1436
CX3CR1+ lining macrophages inflammatory arthritis synovium


CSPG4
1464
CX3CR1+ lining macrophages inflammatory arthritis synovium


CST3
1471
CX3CR1+ lining macrophages inflammatory arthritis synovium


CTSA
5476
CX3CR1+ lining macrophages inflammatory arthritis synovium


CTSB
1508
CX3CR1+ lining macrophages inflammatory arthritis synovium


CTSD
1509
CX3CR1+ lining macrophages inflammatory arthritis synovium


CTSF
8722
CX3CR1+ lining macrophages inflammatory arthritis synovium


CTSS
1520
CX3CR1+ lining macrophages inflammatory arthritis synovium


CX3CR1
1524
CX3CR1+ lining macrophages inflammatory arthritis synovium


CYB5A
1528
CX3CR1+ lining macrophages inflammatory arthritis synovium


CYFIP1
23191
CX3CR1+ lining macrophages inflammatory arthritis synovium


DDX3X
1654
CX3CR1+ lining macrophages inflammatory arthritis synovium


DHRS3
9249
CX3CR1+ lining macrophages inflammatory arthritis synovium


DHRS7
51635
CX3CR1+ lining macrophages inflammatory arthritis synovium


DNASE2
1777
CX3CR1+ lining macrophages inflammatory arthritis synovium


DOK3
79930
CX3CR1+ lining macrophages inflammatory arthritis synovium


DPP7
29952
CX3CR1+ lining macrophages inflammatory arthritis synovium


DSTN
11034
CX3CR1+ lining macrophages inflammatory arthritis synovium


DTNBP1
84062
CX3CR1+ lining macrophages inflammatory arthritis synovium


DUSP3
1845
CX3CR1+ lining macrophages inflammatory arthritis synovium


ECM1
1893
CX3CR1+ lining macrophages inflammatory arthritis synovium


ECSCR
641700
CX3CR1+ lining macrophages inflammatory arthritis synovium


EGR1
1958
CX3CR1+ lining macrophages inflammatory arthritis synovium


ELMO1
9844
CX3CR1+ lining macrophages inflammatory arthritis synovium


EMP3
2014
CX3CR1+ lining macrophages inflammatory arthritis synovium


ENPP1
5167
CX3CR1+ lining macrophages inflammatory arthritis synovium


ENTPD1
953
CX3CR1+ lining macrophages inflammatory arthritis synovium


ERGIC3
51614
CX3CR1+ lining macrophages inflammatory arthritis synovium


F11R
50848
CX3CR1+ lining macrophages inflammatory arthritis synovium


FABP3
2170
CX3CR1+ lining macrophages inflammatory arthritis synovium


FAM213B
127281
CX3CR1+ lining macrophages inflammatory arthritis synovium


FAM3C
10447
CX3CR1+ lining macrophages inflammatory arthritis synovium


FBXW4
6468
CX3CR1+ lining macrophages inflammatory arthritis synovium


FCGRT
2217
CX3CR1+ lining macrophages inflammatory arthritis synovium


FCHSD2
9873
CX3CR1+ lining macrophages inflammatory arthritis synovium


FERMT2
10979
CX3CR1+ lining macrophages inflammatory arthritis synovium


FEZ2
9637
CX3CR1+ lining macrophages inflammatory arthritis synovium


FN1
2335
CX3CR1+ lining macrophages inflammatory arthritis synovium


FOLR2
2350
CX3CR1+ lining macrophages inflammatory arthritis synovium


FOSB
2354
CX3CR1+ lining macrophages inflammatory arthritis synovium


FTH1
2495
CX3CR1+ lining macrophages inflammatory arthritis synovium


FTL
2512
CX3CR1+ lining macrophages inflammatory arthritis synovium


FUCA1
2517
CX3CR1+ lining macrophages inflammatory arthritis synovium


GAS6
2621
CX3CR1+ lining macrophages inflammatory arthritis synovium


GLMP
112770
CX3CR1+ lining macrophages inflammatory arthritis synovium


GLTP
51228
CX3CR1+ lining macrophages inflammatory arthritis synovium


GLUL
2752
CX3CR1+ lining macrophages inflammatory arthritis synovium


GNA15
2769
CX3CR1+ lining macrophages inflammatory arthritis synovium


GNAS
2778
CX3CR1+ lining macrophages inflammatory arthritis synovium


GNG5
2787
CX3CR1+ lining macrophages inflammatory arthritis synovium


GNS
2799
CX3CR1+ lining macrophages inflammatory arthritis synovium


GPR34
2857
CX3CR1+ lining macrophages inflammatory arthritis synovium


GPX1
2876
CX3CR1+ lining macrophages inflammatory arthritis synovium


GPX4
2879
CX3CR1+ lining macrophages inflammatory arthritis synovium


GRN
2896
CX3CR1+ lining macrophages inflammatory arthritis synovium


GUSB
2990
CX3CR1+ lining macrophages inflammatory arthritis synovium


HEXA
3073
CX3CR1+ lining macrophages inflammatory arthritis synovium


HEXB
3074
CX3CR1+ lining macrophages inflammatory arthritis synovium


HLA-A
3105
CX3CR1+ lining macrophages inflammatory arthritis synovium


HPGD
3248
CX3CR1+ lining macrophages inflammatory arthritis synovium


HPGDS
27306
CX3CR1+ lining macrophages inflammatory arthritis synovium


HSBP1
3281
CX3CR1+ lining macrophages inflammatory arthritis synovium


IER2
9592
CX3CR1+ lining macrophages inflammatory arthritis synovium


IGF1
3479
CX3CR1+ lining macrophages inflammatory arthritis synovium


IL11RA
3590
CX3CR1+ lining macrophages inflammatory arthritis synovium


ITGAV
3685
CX3CR1+ lining macrophages inflammatory arthritis synovium


ITGB1
3688
CX3CR1+ lining macrophages inflammatory arthritis synovium


ITGB2
3689
CX3CR1+ lining macrophages inflammatory arthritis synovium


ITGB5
3693
CX3CR1+ lining macrophages inflammatory arthritis synovium


ITM2B
9445
CX3CR1+ lining macrophages inflammatory arthritis synovium


ITM2C
81618
CX3CR1+ lining macrophages inflammatory arthritis synovium


KCNK13
56659
CX3CR1+ lining macrophages inflammatory arthritis synovium


KLC1
3831
CX3CR1+ lining macrophages inflammatory arthritis synovium


KLF2
10365
CX3CR1+ lining macrophages inflammatory arthritis synovium


KLF4
9314
CX3CR1+ lining macrophages inflammatory arthritis synovium


KLHL6
89857
CX3CR1+ lining macrophages inflammatory arthritis synovium


LAMP1
3916
CX3CR1+ lining macrophages inflammatory arthritis synovium


LAMP2
3920
CX3CR1+ lining macrophages inflammatory arthritis synovium


LAMTOR1
55004
CX3CR1+ lining macrophages inflammatory arthritis synovium


LAPTM4A
9741
CX3CR1+ lining macrophages inflammatory arthritis synovium


LGALS9B
284194
CX3CR1+ lining macrophages inflammatory arthritis synovium


LGMN
5641
CX3CR1+ lining macrophages inflammatory arthritis synovium


LIPA
3988
CX3CR1+ lining macrophages inflammatory arthritis synovium


LMO2
4005
CX3CR1+ lining macrophages inflammatory arthritis synovium


LPCAT2
54947
CX3CR1+ lining macrophages inflammatory arthritis synovium


LRP1
4035
CX3CR1+ lining macrophages inflammatory arthritis synovium


LTC4S
4056
CX3CR1+ lining macrophages inflammatory arthritis synovium


LUZP1
7798
CX3CR1+ lining macrophages inflammatory arthritis synovium


LY86
9450
CX3CR1+ lining macrophages inflammatory arthritis synovium


LYL1
4066
CX3CR1+ lining macrophages inflammatory arthritis synovium


LYVE1
10894
CX3CR1+ lining macrophages inflammatory arthritis synovium


LYZ
4069
CX3CR1+ lining macrophages inflammatory arthritis synovium


MACF1
23499
CX3CR1+ lining macrophages inflammatory arthritis synovium


MAF
4094
CX3CR1+ lining macrophages inflammatory arthritis synovium


MAN2B1
4125
CX3CR1+ lining macrophages inflammatory arthritis synovium


MAP1LC3A
84557
CX3CR1+ lining macrophages inflammatory arthritis synovium


MAPK3
5595
CX3CR1+ lining macrophages inflammatory arthritis synovium


MARCKS
4082
CX3CR1+ lining macrophages inflammatory arthritis synovium


MDH1
4190
CX3CR1+ lining macrophages inflammatory arthritis synovium


MEF2A
4205
CX3CR1+ lining macrophages inflammatory arthritis synovium


MEF2C
4208
CX3CR1+ lining macrophages inflammatory arthritis synovium


MFGE8
4240
CX3CR1+ lining macrophages inflammatory arthritis synovium


MGST1
4257
CX3CR1+ lining macrophages inflammatory arthritis synovium


MGST3
4259
CX3CR1+ lining macrophages inflammatory arthritis synovium


MOB2
81532
CX3CR1+ lining macrophages inflammatory arthritis synovium


MPP1
4354
CX3CR1+ lining macrophages inflammatory arthritis synovium


MS4A7
58475
CX3CR1+ lining macrophages inflammatory arthritis synovium


MT-ND2
4536
CX3CR1+ lining macrophages inflammatory arthritis synovium


MTDH
92140
CX3CR1+ lining macrophages inflammatory arthritis synovium


MTUS1
57509
CX3CR1+ lining macrophages inflammatory arthritis synovium


NAGK
55577
CX3CR1+ lining macrophages inflammatory arthritis synovium


NCF1
653361
CX3CR1+ lining macrophages inflammatory arthritis synovium


NECAP2
55707
CX3CR1+ lining macrophages inflammatory arthritis synovium


NFIA
4774
CX3CR1+ lining macrophages inflammatory arthritis synovium


NFIC
4782
CX3CR1+ lining macrophages inflammatory arthritis synovium


NINJ1
4814
CX3CR1+ lining macrophages inflammatory arthritis synovium


NPC2
10577
CX3CR1+ lining macrophages inflammatory arthritis synovium


NPL
80896
CX3CR1+ lining macrophages inflammatory arthritis synovium


NPTN
27020
CX3CR1+ lining macrophages inflammatory arthritis synovium


NRP1
8829
CX3CR1+ lining macrophages inflammatory arthritis synovium


NTPCR
84284
CX3CR1+ lining macrophages inflammatory arthritis synovium


NUCB1
4924
CX3CR1+ lining macrophages inflammatory arthritis synovium


NUPR1
26471
CX3CR1+ lining macrophages inflammatory arthritis synovium


OLFML3
56944
CX3CR1+ lining macrophages inflammatory arthritis synovium


OPHN1
4983
CX3CR1+ lining macrophages inflammatory arthritis synovium


P2RX4
5025
CX3CR1+ lining macrophages inflammatory arthritis synovium


P2RY12
64805
CX3CR1+ lining macrophages inflammatory arthritis synovium


P2RY6
5031
CX3CR1+ lining macrophages inflammatory arthritis synovium


PALD1
27143
CX3CR1+ lining macrophages inflammatory arthritis synovium


PBXIP1
57326
CX3CR1+ lining macrophages inflammatory arthritis synovium


PDLIM2
64236
CX3CR1+ lining macrophages inflammatory arthritis synovium


PDLIM7
9260
CX3CR1+ lining macrophages inflammatory arthritis synovium


PEPD
5184
CX3CR1+ lining macrophages inflammatory arthritis synovium


PKIB
5570
CX3CR1+ lining macrophages inflammatory arthritis synovium


PLA2G15
23659
CX3CR1+ lining macrophages inflammatory arthritis synovium


PLA2G16
11145
CX3CR1+ lining macrophages inflammatory arthritis synovium


PLBD2
196463
CX3CR1+ lining macrophages inflammatory arthritis synovium


PLOD1
5351
CX3CR1+ lining macrophages inflammatory arthritis synovium


PLTP
5360
CX3CR1+ lining macrophages inflammatory arthritis synovium


PLXNB2
23654
CX3CR1+ lining macrophages inflammatory arthritis synovium


PMEPA1
56937
CX3CR1+ lining macrophages inflammatory arthritis synovium


PMP22
5376
CX3CR1+ lining macrophages inflammatory arthritis synovium


PNKD
25953
CX3CR1+ lining macrophages inflammatory arthritis synovium


POLR2E
5434
CX3CR1+ lining macrophages inflammatory arthritis synovium


PON2
5445
CX3CR1+ lining macrophages inflammatory arthritis synovium


PON3
5446
CX3CR1+ lining macrophages inflammatory arthritis synovium


PRUNE2
158471
CX3CR1+ lining macrophages inflammatory arthritis synovium


PTPRA
5786
CX3CR1+ lining macrophages inflammatory arthritis synovium


QKI
9444
CX3CR1+ lining macrophages inflammatory arthritis synovium


QPCT
25797
CX3CR1+ lining macrophages inflammatory arthritis synovium


RAB11A
8766
CX3CR1+ lining macrophages inflammatory arthritis synovium


RAB11FIP5
26056
CX3CR1+ lining macrophages inflammatory arthritis synovium


RAB31
11031
CX3CR1+ lining macrophages inflammatory arthritis synovium


RAB3IL1
5866
CX3CR1+ lining macrophages inflammatory arthritis synovium


RABAC1
10567
CX3CR1+ lining macrophages inflammatory arthritis synovium


RASGEF1B
153020
CX3CR1+ lining macrophages inflammatory arthritis synovium


RASGRP3
25780
CX3CR1+ lining macrophages inflammatory arthritis synovium


RENBP
5973
CX3CR1+ lining macrophages inflammatory arthritis synovium


RFTN1
23180
CX3CR1+ lining macrophages inflammatory arthritis synovium


RGS10
6001
CX3CR1+ lining macrophages inflammatory arthritis synovium


RHOA
387
CX3CR1+ lining macrophages inflammatory arthritis synovium


RHOB
388
CX3CR1+ lining macrophages inflammatory arthritis synovium


RHOC
389
CX3CR1+ lining macrophages inflammatory arthritis synovium


RIN2
54453
CX3CR1+ lining macrophages inflammatory arthritis synovium


RNASE4
6038
CX3CR1+ lining macrophages inflammatory arthritis synovium


RNASET2
8635
CX3CR1+ lining macrophages inflammatory arthritis synovium


RNF13
11342
CX3CR1+ lining macrophages inflammatory arthritis synovium


RTCB
51493
CX3CR1+ lining macrophages inflammatory arthritis synovium


S100A1
6271
CX3CR1+ lining macrophages inflammatory arthritis synovium


S100A13
6284
CX3CR1+ lining macrophages inflammatory arthritis synovium


S100B
6285
CX3CR1+ lining macrophages inflammatory arthritis synovium


S1PR1
1901
CX3CR1+ lining macrophages inflammatory arthritis synovium


SAMD9L
219285
CX3CR1+ lining macrophages inflammatory arthritis synovium


SARAF
51669
CX3CR1+ lining macrophages inflammatory arthritis synovium


SASH1
23328
CX3CR1+ lining macrophages inflammatory arthritis synovium


SAT1
6303
CX3CR1+ lining macrophages inflammatory arthritis synovium


SCAMP2
10066
CX3CR1+ lining macrophages inflammatory arthritis synovium


SCOC
60592
CX3CR1+ lining macrophages inflammatory arthritis synovium


SEC14L1
6397
CX3CR1+ lining macrophages inflammatory arthritis synovium


SELENBP1
8991
CX3CR1+ lining macrophages inflammatory arthritis synovium


SELENOM
140606
CX3CR1+ lining macrophages inflammatory arthritis synovium


SELENOP
6414
CX3CR1+ lining macrophages inflammatory arthritis synovium


SELENOW
6415
CX3CR1+ lining macrophages inflammatory arthritis synovium


SERINC3
10955
CX3CR1+ lining macrophages inflammatory arthritis synovium


SERPINB6
5269
CX3CR1+ lining macrophages inflammatory arthritis synovium


SERPINE1
5054
CX3CR1+ lining macrophages inflammatory arthritis synovium


SESN1
27244
CX3CR1+ lining macrophages inflammatory arthritis synovium


SFXN3
81855
CX3CR1+ lining macrophages inflammatory arthritis synovium


SGK1
6446
CX3CR1+ lining macrophages inflammatory arthritis synovium


SH3BP5
9467
CX3CR1+ lining macrophages inflammatory arthritis synovium


SH3GLB1
51100
CX3CR1+ lining macrophages inflammatory arthritis synovium


SIGMAR1
10280
CX3CR1+ lining macrophages inflammatory arthritis synovium


SIRT2
22933
CX3CR1+ lining macrophages inflammatory arthritis synovium


SKI
6497
CX3CR1+ lining macrophages inflammatory arthritis synovium


SKIL
6498
CX3CR1+ lining macrophages inflammatory arthritis synovium


SLC27A1
376497
CX3CR1+ lining macrophages inflammatory arthritis synovium


SLC29A1
2030
CX3CR1+ lining macrophages inflammatory arthritis synovium


SLC2A6
11182
CX3CR1+ lining macrophages inflammatory arthritis synovium


SLC6A6
6533
CX3CR1+ lining macrophages inflammatory arthritis synovium


SLC9A3R2
9351
CX3CR1+ lining macrophages inflammatory arthritis synovium


SLCO2B1
11309
CX3CR1+ lining macrophages inflammatory arthritis synovium


SMAGP
57228
CX3CR1+ lining macrophages inflammatory arthritis synovium


SMIM14
201895
CX3CR1+ lining macrophages inflammatory arthritis synovium


SNX3
8724
CX3CR1+ lining macrophages inflammatory arthritis synovium


SPARC
6678
CX3CR1+ lining macrophages inflammatory arthritis synovium


SPTBN1
6711
CX3CR1+ lining macrophages inflammatory arthritis synovium


SPTSSA
171546
CX3CR1+ lining macrophages inflammatory arthritis synovium


SRGAP2
23380
CX3CR1+ lining macrophages inflammatory arthritis synovium


SSBP4
170463
CX3CR1+ lining macrophages inflammatory arthritis synovium


ST3GAL5
8869
CX3CR1+ lining macrophages inflammatory arthritis synovium


STAB1
23166
CX3CR1+ lining macrophages inflammatory arthritis synovium


STOM
2040
CX3CR1+ lining macrophages inflammatory arthritis synovium


STX4
6810
CX3CR1+ lining macrophages inflammatory arthritis synovium


SULF2
55959
CX3CR1+ lining macrophages inflammatory arthritis synovium


SYNGR1
9145
CX3CR1+ lining macrophages inflammatory arthritis synovium


TBXAS1
6916
CX3CR1+ lining macrophages inflammatory arthritis synovium


TCIM
56892
CX3CR1+ lining macrophages inflammatory arthritis synovium


TCN2
6948
CX3CR1+ lining macrophages inflammatory arthritis synovium


TECR
9524
CX3CR1+ lining macrophages inflammatory arthritis synovium


TGFBR1
7046
CX3CR1+ lining macrophages inflammatory arthritis synovium


TGFBR2
7048
CX3CR1+ lining macrophages inflammatory arthritis synovium


TIMD4
91937
CX3CR1+ lining macrophages inflammatory arthritis synovium


TIMP2
7077
CX3CR1+ lining macrophages inflammatory arthritis synovium


TMBIM1
64114
CX3CR1+ lining macrophages inflammatory arthritis synovium


TMEM141
85014
CX3CR1+ lining macrophages inflammatory arthritis synovium


TMEM176B
28959
CX3CR1+ lining macrophages inflammatory arthritis synovium


TMEM37
140738
CX3CR1+ lining macrophages inflammatory arthritis synovium


TMEM50A
23585
CX3CR1+ lining macrophages inflammatory arthritis synovium


TMEM59
9528
CX3CR1+ lining macrophages inflammatory arthritis synovium


TMEM86A
144110
CX3CR1+ lining macrophages inflammatory arthritis synovium


TMEM9B
56674
CX3CR1+ lining macrophages inflammatory arthritis synovium


TMSB4X
7114
CX3CR1+ lining macrophages inflammatory arthritis synovium


TNFRSF21
27242
CX3CR1+ lining macrophages inflammatory arthritis synovium


TNFSF12
8742
CX3CR1+ lining macrophages inflammatory arthritis synovium


TNS1
7145
CX3CR1+ lining macrophages inflammatory arthritis synovium


TPP1
1200
CX3CR1+ lining macrophages inflammatory arthritis synovium


TREM2
54209
CX3CR1+ lining macrophages inflammatory arthritis synovium


TSC22D3
1831
CX3CR1+ lining macrophages inflammatory arthritis synovium


TSPAN3
10099
CX3CR1+ lining macrophages inflammatory arthritis synovium


TSPAN4
7106
CX3CR1+ lining macrophages inflammatory arthritis synovium


TUBA1A
7846
CX3CR1+ lining macrophages inflammatory arthritis synovium


UBXN1
51035
CX3CR1+ lining macrophages inflammatory arthritis synovium


UCHL3
7347
CX3CR1+ lining macrophages inflammatory arthritis synovium


VAT1
10493
CX3CR1+ lining macrophages inflammatory arthritis synovium


VSIG4
11326
CX3CR1+ lining macrophages inflammatory arthritis synovium


YPEL3
83719
CX3CR1+ lining macrophages inflammatory arthritis synovium


ZBTB20
26137
CX3CR1+ lining macrophages inflammatory arthritis synovium


ZFHX3
463
CX3CR1+ lining macrophages inflammatory arthritis synovium


ZMIZ1
57178
CX3CR1+ lining macrophages inflammatory arthritis synovium


ABCA9
10350
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ABHD12
26090
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ACAT1
38
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ACOT13
55856
RELM-α+ interstitial macrophages inflammatory arthritis synovium


AHNAK
79026
RELM-α+ interstitial macrophages inflammatory arthritis synovium


AHNAK2
113146
RELM-α+ interstitial macrophages inflammatory arthritis synovium


AKR1B1
231
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ALDH2
217
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ALOX5
240
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ANG
283
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ANP32A
8125
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ANXA11
311
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ANXA6
309
RELM-α+ interstitial macrophages inflammatory arthritis synovium


AP1B1
162
RELM-α+ interstitial macrophages inflammatory arthritis synovium


AP2A2
161
RELM-α+ interstitial macrophages inflammatory arthritis synovium


AP2M1
1173
RELM-α+ interstitial macrophages inflammatory arthritis synovium


APLP2
334
RELM-α+ interstitial macrophages inflammatory arthritis synovium


AQP1
358
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ATRAID
51374
RELM-α+ interstitial macrophages inflammatory arthritis synovium


BIN1
274
RELM-α+ interstitial macrophages inflammatory arthritis synovium


BLVRB
645
RELM-α+ interstitial macrophages inflammatory arthritis synovium


BORCS6
54785
RELM-α+ interstitial macrophages inflammatory arthritis synovium


C16orf54
283897
RELM-α+ interstitial macrophages inflammatory arthritis synovium


C1QA
712
RELM-α+ interstitial macrophages inflammatory arthritis synovium


C1QB
713
RELM-α+ interstitial macrophages inflammatory arthritis synovium


C1QC
714
RELM-α+ interstitial macrophages inflammatory arthritis synovium


C4B
721
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CALM2
805
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CAVIN1
284119
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CCL24
6369
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CD163
9332
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CD302
9936
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CD36
948
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CD37
951
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CD48
962
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CD63
967
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CD74
972
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CD81
975
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CDKN2C
1031
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CFH
3075
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CLEC10A
10462
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CLN8
2055
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CLTA
1211
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CLTB
1212
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CLTC
1213
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CNPY2
10330
RELM-α+ interstitial macrophages inflammatory arthritis synovium


COLEC12
81035
RELM-α+ interstitial macrophages inflammatory arthritis synovium


COMT
1312
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CRACR2B
283229
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CSF1R
1436
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CST3
1471
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CTSB
1508
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CTSC
1075
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CYB5A
1528
RELM-α+ interstitial macrophages inflammatory arthritis synovium


CYB5R3
1727
RELM-α+ interstitial macrophages inflammatory arthritis synovium


DAB2
1601
RELM-α+ interstitial macrophages inflammatory arthritis synovium


DGUOK
1716
RELM-α+ interstitial macrophages inflammatory arthritis synovium


DHRS3
9249
RELM-α+ interstitial macrophages inflammatory arthritis synovium


DNASE1L1
1774
RELM-α+ interstitial macrophages inflammatory arthritis synovium


DOK2
9046
RELM-α+ interstitial macrophages inflammatory arthritis synovium


DSE
29940
RELM-α+ interstitial macrophages inflammatory arthritis synovium


DSTN
11034
RELM-α+ interstitial macrophages inflammatory arthritis synovium


DUSP22
56940
RELM-α+ interstitial macrophages inflammatory arthritis synovium


DUSP6
1848
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ECM1
1893
RELM-α+ interstitial macrophages inflammatory arthritis synovium


EHD4
30844
RELM-α+ interstitial macrophages inflammatory arthritis synovium


EID1
23741
RELM-α+ interstitial macrophages inflammatory arthritis synovium


EPS15
2060
RELM-α+ interstitial macrophages inflammatory arthritis synovium


EPS8
2059
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ETV1
2115
RELM-α+ interstitial macrophages inflammatory arthritis synovium


EVI5
7813
RELM-α+ interstitial macrophages inflammatory arthritis synovium


F13A1
2162
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FAM46A
55603
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FCGR2A
2212
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FCGR2B
2213
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FCGRT
2217
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FCHO2
115548
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FEZ2
9637
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FGFR1
2260
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FKBP1A
2280
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FNTA
2339
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FOLR2
2350
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FOXN3
1112
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FOXP1
27086
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FRMD4B
23150
RELM-α+ interstitial macrophages inflammatory arthritis synovium


FXYD2
486
RELM-α+ interstitial macrophages inflammatory arthritis synovium


GABARAPL1
23710
RELM-α+ interstitial macrophages inflammatory arthritis synovium


GAS6
2621
RELM-α+ interstitial macrophages inflammatory arthritis synovium


GAS7
8522
RELM-α+ interstitial macrophages inflammatory arthritis synovium


GATM
2628
RELM-α+ interstitial macrophages inflammatory arthritis synovium


GLTP
51228
RELM-α+ interstitial macrophages inflammatory arthritis synovium


GLUL
2752
RELM-α+ interstitial macrophages inflammatory arthritis synovium


GPR34
2857
RELM-α+ interstitial macrophages inflammatory arthritis synovium


GSTM5
2949
RELM-α+ interstitial macrophages inflammatory arthritis synovium


GYPC
2995
RELM-α+ interstitial macrophages inflammatory arthritis synovium


H2AFV
94239
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HACD4
401494
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HCST
10870
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HEXA
3073
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HFE
3077
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HIGD2A
192286
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HIST1H2BI
8346
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HMGN1
3150
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HMOX2
3163
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HP1BP3
50809
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HPGD
3248
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HPGDS
27306
RELM-α+ interstitial macrophages inflammatory arthritis synovium


HPRT1
3251
RELM-α+ interstitial macrophages inflammatory arthritis synovium


IDH2
3418
RELM-α+ interstitial macrophages inflammatory arthritis synovium


IFI16
3428
RELM-α+ interstitial macrophages inflammatory arthritis synovium


IGF1
3479
RELM-α+ interstitial macrophages inflammatory arthritis synovium


IGFBP4
3487
RELM-α+ interstitial macrophages inflammatory arthritis synovium


IGHM
3507
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ITM2B
9445
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ITPRIPL2
162073
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ITSN1
6453
RELM-α+ interstitial macrophages inflammatory arthritis synovium


KIAA0100
9703
RELM-α+ interstitial macrophages inflammatory arthritis synovium


KIF1B
23095
RELM-α+ interstitial macrophages inflammatory arthritis synovium


LAMP1
3916
RELM-α+ interstitial macrophages inflammatory arthritis synovium


LAMP2
3920
RELM-α+ interstitial macrophages inflammatory arthritis synovium


LAPTM4A
9741
RELM-α+ interstitial macrophages inflammatory arthritis synovium


LEPROT
54741
RELM-α+ interstitial macrophages inflammatory arthritis synovium


LGMN
5641
RELM-α+ interstitial macrophages inflammatory arthritis synovium


LIFR
3977
RELM-α+ interstitial macrophages inflammatory arthritis synovium


LIPA
3988
RELM-α+ interstitial macrophages inflammatory arthritis synovium


LTC4S
4056
RELM-α+ interstitial macrophages inflammatory arthritis synovium


LY96
23643
RELM-α+ interstitial macrophages inflammatory arthritis synovium


LYL1
4066
RELM-α+ interstitial macrophages inflammatory arthritis synovium


LYVE1
10894
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MAF
4094
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MAFB
9935
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MALAT1
378938
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MAN1A1
4121
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MBNL1
4154
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MEF2C
4208
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MGST3
4259
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MID1IP1
58526
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MINDY2
54629
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MPP1
4354
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MRC1
4360
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MRFAP1
93621
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MTSS1
9788
RELM-α+ interstitial macrophages inflammatory arthritis synovium


MYO5A
4644
RELM-α+ interstitial macrophages inflammatory arthritis synovium


NCOA4
8031
RELM-α+ interstitial macrophages inflammatory arthritis synovium


NDFIP1
80762
RELM-α+ interstitial macrophages inflammatory arthritis synovium


NDUFS7
374291
RELM-α+ interstitial macrophages inflammatory arthritis synovium


NENF
29937
RELM-α+ interstitial macrophages inflammatory arthritis synovium


NINJ1
4814
RELM-α+ interstitial macrophages inflammatory arthritis synovium


NISCH
11188
RELM-α+ interstitial macrophages inflammatory arthritis synovium


NPL
80896
RELM-α+ interstitial macrophages inflammatory arthritis synovium


NR3C1
2908
RELM-α+ interstitial macrophages inflammatory arthritis synovium


NRP1
8829
RELM-α+ interstitial macrophages inflammatory arthritis synovium


NUDT9
53343
RELM-α+ interstitial macrophages inflammatory arthritis synovium


OAT
4942
RELM-α+ interstitial macrophages inflammatory arthritis synovium


P2RY12
64805
RELM-α+ interstitial macrophages inflammatory arthritis synovium


P2RY6
5031
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PDLIM1
9124
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PDLIM4
8572
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PEA15
8682
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PEPD
5184
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PF4
5196
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PGRMC1
10857
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PINK1
65018
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PKIG
11142
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PLTP
5360
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PMP22
5376
RELM-α+ interstitial macrophages inflammatory arthritis synovium


POLR3GL
84265
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PON2
5445
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PPIA
5478
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PPP3CA
5530
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PRCP
5547
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PROS1
5627
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PRUNE2
158471
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PSD3
23362
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PTAFR
5724
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PTPN18
26469
RELM-α+ interstitial macrophages inflammatory arthritis synovium


PTS
5805
RELM-α+ interstitial macrophages inflammatory arthritis synovium


QPCT
25797
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RAB11A
8766
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RAB11FIP5
26056
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RAB31
11031
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RABAC1
10567
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RALBP1
10928
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RAPGEF6
51735
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RASGRP3
25780
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RASSF4
83937
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RFK
55312
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RGL1
23179
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RGS10
6001
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RGS18
64407
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RIN2
54453
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RNASE4
6038
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RNF13
11342
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RNF130
55819
RELM-α+ interstitial macrophages inflammatory arthritis synovium


RSRP1
57035
RELM-α+ interstitial macrophages inflammatory arthritis synovium


S100A1
6271
RELM-α+ interstitial macrophages inflammatory arthritis synovium


S1PR1
1901
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SBDS
51119
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SCAMP2
10066
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SDHC
6391
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SEC14L1
6397
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SEC62
7095
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SELENBP1
8991
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SELENOF
9403
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SELENOM
140606
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SELENOP
6414
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SERINC3
10955
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SERPINB1
1992
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SERPINB6
5269
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SESN1
27244
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SGPP1
81537
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SH3BGRL
6451
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SLC29A1
2030
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SLC48A1
55652
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SLC9A3R2
9351
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SLCO2B1
11309
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SMAGP
57228
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SMIM10L1
  1E+08
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SNX2
6643
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SNX3
8724
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SNX5
27131
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SNX6
58533
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SNX8
29886
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SPRED1
161742
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SPTBN1
6711
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SSH2
85464
RELM-α+ interstitial macrophages inflammatory arthritis synovium


STAB1
23166
RELM-α+ interstitial macrophages inflammatory arthritis synovium


STARD8
9754
RELM-α+ interstitial macrophages inflammatory arthritis synovium


STK17B
9262
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SULF2
55959
RELM-α+ interstitial macrophages inflammatory arthritis synovium


SULT1A1
6817
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TACC1
6867
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TCF4
6925
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TCN2
6948
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TEP1
7011
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TEX264
51368
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TF
7018
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TGFBR2
7048
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TIMD4
91937
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TIMP2
7077
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TLR7
51284
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TMEM106A
113277
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TMEM141
85014
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TMEM37
140738
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TMEM50A
23585
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TMEM59
9528
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TNFAIP8L2
79626
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TNFSF12
8742
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TNS1
7145
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TPPP3
51673
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TPRG1L
127262
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TRIM47
91107
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TRMT1
55621
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TSC22D3
1831
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TSEN34
79042
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TSLP
85480
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TSPAN17
26262
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TSPAN4
7106
RELM-α+ interstitial macrophages inflammatory arthritis synovium


TXNIP
10628
RELM-α+ interstitial macrophages inflammatory arthritis synovium


UNC93B1
81622
RELM-α+ interstitial macrophages inflammatory arthritis synovium


VAT1
10493
RELM-α+ interstitial macrophages inflammatory arthritis synovium


VKORC1
79001
RELM-α+ interstitial macrophages inflammatory arthritis synovium


WWP1
11059
RELM-α+ interstitial macrophages inflammatory arthritis synovium


YPEL3
83719
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ZBTB20
26137
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ZCCHC6
79670
RELM-α+ interstitial macrophages inflammatory arthritis synovium


ALOX5
240
MHCII+ interstitial macrophages inflammatory arthritis synovium


AP2A2
161
MHCII+ interstitial macrophages inflammatory arthritis synovium


AQP1
358
MHCII+ interstitial macrophages inflammatory arthritis synovium


ATF3
467
MHCII+ interstitial macrophages inflammatory arthritis synovium


ATP2B1
490
MHCII+ interstitial macrophages inflammatory arthritis synovium


CCL24
6369
MHCII+ interstitial macrophages inflammatory arthritis synovium


CD163
9332
MHCII+ interstitial macrophages inflammatory arthritis synovium


CD36
948
MHCII+ interstitial macrophages inflammatory arthritis synovium


CD81
975
MHCII+ interstitial macrophages inflammatory arthritis synovium


CD93
22918
MHCII+ interstitial macrophages inflammatory arthritis synovium


CLEC10A
10462
MHCII+ interstitial macrophages inflammatory arthritis synovium


CLEC12A
160364
MHCII+ interstitial macrophages inflammatory arthritis synovium


CLTC
1213
MHCII+ interstitial macrophages inflammatory arthritis synovium


DAB2
1601
MHCII+ interstitial macrophages inflammatory arthritis synovium


DOK2
9046
MHCII+ interstitial macrophages inflammatory arthritis synovium


DSE
29940
MHCII+ interstitial macrophages inflammatory arthritis synovium


EGR1
1958
MHCII+ interstitial macrophages inflammatory arthritis synovium


EHD4
30844
MHCII+ interstitial macrophages inflammatory arthritis synovium


FOSB
2354
MHCII+ interstitial macrophages inflammatory arthritis synovium


FRMD4B
23150
MHCII+ interstitial macrophages inflammatory arthritis synovium


FXYD2
486
MHCII+ interstitial macrophages inflammatory arthritis synovium


GAS7
8522
MHCII+ interstitial macrophages inflammatory arthritis synovium


HLA-DQA1
3117
MHCII+ interstitial macrophages inflammatory arthritis synovium


HLA-DQB1
3119
MHCII+ interstitial macrophages inflammatory arthritis synovium


HLA-DRB5
3127
MHCII+ interstitial macrophages inflammatory arthritis synovium


HSPA1A
3303
MHCII+ interstitial macrophages inflammatory arthritis synovium


IER2
9592
MHCII+ interstitial macrophages inflammatory arthritis synovium


IGF1
3479
MHCII+ interstitial macrophages inflammatory arthritis synovium


IGFBP4
3487
MHCII+ interstitial macrophages inflammatory arthritis synovium


IGHM
3507
MHCII+ interstitial macrophages inflammatory arthritis synovium


IRF2BP2
359948
MHCII+ interstitial macrophages inflammatory arthritis synovium


JUN
3725
MHCII+ interstitial macrophages inflammatory arthritis synovium


JUND
3727
MHCII+ interstitial macrophages inflammatory arthritis synovium


KLF2
10365
MHCII+ interstitial macrophages inflammatory arthritis synovium


KLF4
9314
MHCII+ interstitial macrophages inflammatory arthritis synovium


KLF6
1316
MHCII+ interstitial macrophages inflammatory arthritis synovium


LIFR
3977
MHCII+ interstitial macrophages inflammatory arthritis synovium


LPL
4023
MHCII+ interstitial macrophages inflammatory arthritis synovium


LYZ
4069
MHCII+ interstitial macrophages inflammatory arthritis synovium


MAF
4094
MHCII+ interstitial macrophages inflammatory arthritis synovium


MAFB
9935
MHCII+ interstitial macrophages inflammatory arthritis synovium


MALAT1
378938
MHCII+ interstitial macrophages inflammatory arthritis synovium


MARCKSL1
65108
MHCII+ interstitial macrophages inflammatory arthritis synovium


MEF2C
4208
MHCII+ interstitial macrophages inflammatory arthritis synovium


METRNL
284207
MHCII+ interstitial macrophages inflammatory arthritis synovium


MRC1
4360
MHCII+ interstitial macrophages inflammatory arthritis synovium


MS4A7
58475
MHCII+ interstitial macrophages inflammatory arthritis synovium


MT-CO1
4512
MHCII+ interstitial macrophages inflammatory arthritis synovium


MT1A
4489
MHCII+ interstitial macrophages inflammatory arthritis synovium


MT2A
4502
MHCII+ interstitial macrophages inflammatory arthritis synovium


MTSS1
9788
MHCII+ interstitial macrophages inflammatory arthritis synovium


NFKBIZ
64332
MHCII+ interstitial macrophages inflammatory arthritis synovium


PF4
5196
MHCII+ interstitial macrophages inflammatory arthritis synovium


PPP3CA
5530
MHCII+ interstitial macrophages inflammatory arthritis synovium


RAB7B
338382
MHCII+ interstitial macrophages inflammatory arthritis synovium


RBPJ
3516
MHCII+ interstitial macrophages inflammatory arthritis synovium


RND3
390
MHCII+ interstitial macrophages inflammatory arthritis synovium


RTN4
57142
MHCII+ interstitial macrophages inflammatory arthritis synovium


SDC3
9672
MHCII+ interstitial macrophages inflammatory arthritis synovium


SELENOP
6414
MHCII+ interstitial macrophages inflammatory arthritis synovium


SERINC3
10955
MHCII+ interstitial macrophages inflammatory arthritis synovium


SLAMF9
89886
MHCII+ interstitial macrophages inflammatory arthritis synovium


SNX5
27131
MHCII+ interstitial macrophages inflammatory arthritis synovium


TMEM176A
55365
MHCII+ interstitial macrophages inflammatory arthritis synovium


TMEM176B
28959
MHCII+ interstitial macrophages inflammatory arthritis synovium


TUBB2A
7280
MHCII+ interstitial macrophages inflammatory arthritis synovium


TXNIP
10628
MHCII+ interstitial macrophages inflammatory arthritis synovium


WNK1
65125
MHCII+ interstitial macrophages inflammatory arthritis synovium


WWP1
11059
MHCII+ interstitial macrophages inflammatory arthritis synovium


ZFP36L1
677
MHCII+ interstitial macrophages inflammatory arthritis synovium


ACOT7
11332
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ACP5
54
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ACTR2
10097
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ADAM8
101
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ADSSL1
122622
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


AGPAT4
56895
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


AGPAT5
55326
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


AK2
204
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


AK6
1.02E+08
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ALDOA
226
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ANP32B
10541
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ANXA1
301
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ANXA2
302
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ANXA5
308
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


APEX1
328
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


APOBEC1
339
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


APRT
353
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ARF6
382
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATOX1
475
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP5F1E
514
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP5G1
516
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP5G3
518
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP5L
10632
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP5ME
521
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP5O
539
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP6V0E1
8992
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP6V1A
523
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP6V1B2
526
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP6V1C1
528
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP6V1D
51382
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP6V1E1
529
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATP6V1G1
9550
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ATPIF1
93974
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


AVPI1
60370
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


AZIN1
51582
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


B4GALT1
2683
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


BANF1
8815
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


BAX
581
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


BDH2
56898
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


BHLHE40
8553
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


BOLA2
552900
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


BTG1
694
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


C14orf2
9556
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


C1QBP
708
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


C6orf62
81688
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


C8orf59
401466
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CALM1
801
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CAV1
857
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CAV2
858
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CCT2
10576
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CCT3
7203
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CCT8
10694
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CD44
960
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CHCHD2
51142
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CHCHD4
131474
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CITED2
10370
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CKAP4
10970
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CLEC4D
338339
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CLEC4E
26253
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CLEC6A
93978
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


COPS9
150678
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


COX17
10063
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


COX5A
9377
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


COX6B1
1340
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


COX7A2
1347
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


COX7B
1349
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


COX7C
1350
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CSTB
1476
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CTSK
1513
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CTSV
1515
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CXCL16
58191
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CXCL3
2921
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


CYCS
54205
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


DDT
1652
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


DNAJC2
27000
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


DTYMK
1841
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EBNA1BP2
10969
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EEF1E1
9521
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EEF1G
1937
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EFHD2
79180
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EHD1
10938
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EIF1AY
9086
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EIF2S1
1965
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EIF2S2
8894
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EIF3J
8669
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EIF4A1
1973
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EIF4G2
1982
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EIF5A
1984
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EIF6
3692
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EMC6
83460
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ENO1
2023
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ERH
2079
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ESD
2098
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


EZR
7430
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


FABP5
2171
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


FAM129B
64855
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


FAM162A
26355
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


FBL
2091
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


FCF1
51077
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


FN1
2335
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


FURIN
5045
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


G3BP1
10146
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


GAPDH
2597
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


GCSH
2653
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


GLRX
2745
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


GNA13
10672
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


GNGT2
2793
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


GNL3
26354
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


GPR137B
7107
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HDGF
3068
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HIF1A
3091
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HIGD1A
25994
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HILPDA
29923
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HNRNPA0
10949
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HNRNPA1
3178
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HNRNPAB
3182
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HSP90AA1
3320
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HSP90AB1
3326
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HSPA9
3313
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HSPD1
3329
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


HSPE1
3336
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ID2
3398
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


IFRD1
3475
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


IL1RN
3557
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


IMPDH2
3615
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ITGA5
3678
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ITGAV
3685
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


JARID2
3720
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


KCNN4
3783
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


LASP1
3927
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


LDHA
3939
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


LFNG
3955
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


LGALS1
3956
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


LGALS3
3958
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


LLPH
84298
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


LMNA
4000
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


LOC102724828
1.03E+08
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


LPL
4023
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


LSM7
51690
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


M6PR
4074
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MAGOH
4116
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MALT1
10892
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MAP4K4
9448
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MCL1
4170
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MDH2
4191
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MDM2
4193
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MIF
4282
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MMP14
4323
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MMP19
4327
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MRPL12
6182
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MRPL20
55052
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MRPL52
122704
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MRPL54
116541
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MRPS14
63931
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MRPS28
28957
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MRTO4
51154
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MS4A7
58475
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MT-ATP8
4509
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MT-CYB
4519
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MT-ND1
4535
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


MT-ND3
4537
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NAA50
80218
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NCEH1
57552
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NCL
4691
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NDUFAB1
4706
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NDUFB6
4712
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NDUFC1
4717
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NDUFC2
4718
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NDUFS6
4726
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NFATC1
4772
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NFKBIA
4792
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NHP2
55651
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NIP7
51388
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NME1
4830
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NOLC1
9221
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NOP10
55505
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NOP56
10528
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NOP58
51602
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NPM1
4869
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NPM3
10360
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NRP2
8828
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NSD2
7468
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NSUN2
54888
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NUDCD2
134492
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


NUS1
116150
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ODC1
4953
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


OSBPL8
114882
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PA2G4
5036
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PCBP1
5093
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PDPN
10630
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PFDN4
5203
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PFN1
5216
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PGAM1
5223
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PGK1
5230
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PHB2
11331
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PIK3R5
23533
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PKM
5315
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PLIN2
123
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PLXND1
23129
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PNO1
56902
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


POLR2K
5440
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


POLR2L
5441
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PPA1
5464
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PPP2CA
5515
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PRMT1
3276
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PSMA3
5684
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PSMA6
5687
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PSMB5
5693
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PSMB6
5694
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PSMB7
5695
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PSMD14
10213
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PTBP3
9991
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


PTMA
5757
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RACK1
10399
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RAI14
26064
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RALA
5898
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RAN
5901
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RANBP1
5902
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RBM3
5935
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RBX1
9978
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RGCC
28984
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RNF149
284996
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RNF19B
127544
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ROMO1
140823
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL12
6136
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL22
6146
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL22L1
200916
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL23
9349
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL27
6155
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL35
11224
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL36A
6173
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL36AL
6166
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL37A
6168
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL38
6169
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL39
6170
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPL5
6125
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPLP1
6176
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPLP2
6181
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS10
6204
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS12
6206
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS15A
6210
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS17
6218
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS18
6222
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS19
6223
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS2
6187
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS21
6227
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS26
6231
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS27A
6233
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS27L
51065
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS3
6188
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS3A
6189
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


RPS8
6202
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


S100A10
6281
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


S100A11
6282
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


S100A4
6275
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SDC1
6382
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SDC4
6385
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SEC61B
10952
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SEMA4D
10507
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SERBP1
26135
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SET
6418
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SFPQ
6421
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SGK1
6446
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SLC37A2
219855
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SLC43A2
124935
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SLIRP
81892
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SMS
6611
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SNHG6
641638
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SNRPD1
6632
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SNRPD2
6633
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SNRPD3
6634
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SNRPE
6635
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SNRPF
6636
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SNU13
4809
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SOD1
6647
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SOD2
6648
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SPP1
6696
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SQSTM1
8878
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SRSF3
6428
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


SRSF7
6432
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TAF1D
79101
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TCIRG1
10312
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TCP1
6950
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TCTEX1D2
255758
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TIMM10
26519
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TIMM13
26517
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TIMM17A
10440
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TIMM8A
1678
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TIMP1
7076
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TNFAIP2
7127
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TNFAIP3
7128
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TOMM20
9804
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TOMM40
10452
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TOMM5
401505
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TPI1
7167
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TPM1
7168
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TPT1
7178
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TRAF1
7185
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TSC22D1
8848
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TUBA1C
84790
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TUBB4B
10383
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TUBB6
84617
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TXN
7295
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


TXNRD1
7296
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


U2AF1
7307
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


UBE2A
7319
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


UBE2L3
7332
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


UFM1
51569
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


UQCR10
29796
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


UQCR11
10975
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


UQCRB
7381
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


UQCRQ
27089
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


USMG5
84833
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


USP50
373509
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


VIM
7431
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


YBX1
4904
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


YBX3
8531
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


YWHAG
7532
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


YWHAZ
7534
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ZNF593
51042
CCR2+ARG1+ infiltrating macrophages inflammatory arthritis




synovium


ACOT7
11332
MHCII high dendritic cells inflammatory arthritis synovium


ACTG1
71
MHCII high dendritic cells inflammatory arthritis synovium


ASS1
445
MHCII high dendritic cells inflammatory arthritis synovium


ATOX1
475
MHCII high dendritic cells inflammatory arthritis synovium


ATP5F1
515
MHCII high dendritic cells inflammatory arthritis synovium


AVPI1
60370
MHCII high dendritic cells inflammatory arthritis synovium


B4GALNT1
2583
MHCII high dendritic cells inflammatory arthritis synovium


BATF3
55509
MHCII high dendritic cells inflammatory arthritis synovium


BCL2A1
597
MHCII high dendritic cells inflammatory arthritis synovium


BHLHE40
8553
MHCII high dendritic cells inflammatory arthritis synovium


BLOC1S2
282991
MHCII high dendritic cells inflammatory arthritis synovium


BRI3BP
140707
MHCII high dendritic cells inflammatory arthritis synovium


BTG2
7832
MHCII high dendritic cells inflammatory arthritis synovium


C15orf48
84419
MHCII high dendritic cells inflammatory arthritis synovium


C1orf21
81563
MHCII high dendritic cells inflammatory arthritis synovium


C1orf54
79630
MHCII high dendritic cells inflammatory arthritis synovium


CASP6
839
MHCII high dendritic cells inflammatory arthritis synovium


CBFA2T3
863
MHCII high dendritic cells inflammatory arthritis synovium


CCDC88A
55704
MHCII high dendritic cells inflammatory arthritis synovium


CCND1
595
MHCII high dendritic cells inflammatory arthritis synovium


CCND3
896
MHCII high dendritic cells inflammatory arthritis synovium


CCR2
729230
MHCII high dendritic cells inflammatory arthritis synovium


CD24
10013941
MHCII high dendritic cells inflammatory arthritis synovium


CD47
961
MHCII high dendritic cells inflammatory arthritis synovium


CD52
1043
MHCII high dendritic cells inflammatory arthritis synovium


CD72
971
MHCII high dendritic cells inflammatory arthritis synovium


CD74
972
MHCII high dendritic cells inflammatory arthritis synovium


CD86
942
MHCII high dendritic cells inflammatory arthritis synovium


CDKN2D
1032
MHCII high dendritic cells inflammatory arthritis synovium


CFP
5199
MHCII high dendritic cells inflammatory arthritis synovium


CKB
1152
MHCII high dendritic cells inflammatory arthritis synovium


CLEC10A
10462
MHCII high dendritic cells inflammatory arthritis synovium


CLEC6A
93978
MHCII high dendritic cells inflammatory arthritis synovium


CNN2
1265
MHCII high dendritic cells inflammatory arthritis synovium


CORO1A
11151
MHCII high dendritic cells inflammatory arthritis synovium


CSF2RB
1439
MHCII high dendritic cells inflammatory arthritis synovium


CSRNP1
64651
MHCII high dendritic cells inflammatory arthritis synovium


CTSH
1512
MHCII high dendritic cells inflammatory arthritis synovium


CXCL16
58191
MHCII high dendritic cells inflammatory arthritis synovium


CYTIP
9595
MHCII high dendritic cells inflammatory arthritis synovium


DAPP1
27071
MHCII high dendritic cells inflammatory arthritis synovium


DBNL
28988
MHCII high dendritic cells inflammatory arthritis synovium


DDOST
1650
MHCII high dendritic cells inflammatory arthritis synovium


DENND4A
10260
MHCII high dendritic cells inflammatory arthritis synovium


DPYSL2
1808
MHCII high dendritic cells inflammatory arthritis synovium


EEF1B2
1933
MHCII high dendritic cells inflammatory arthritis synovium


EEF1G
1937
MHCII high dendritic cells inflammatory arthritis synovium


EIF3F
8665
MHCII high dendritic cells inflammatory arthritis synovium


EMB
133418
MHCII high dendritic cells inflammatory arthritis synovium


ETV3
2117
MHCII high dendritic cells inflammatory arthritis synovium


EVA1B
55194
MHCII high dendritic cells inflammatory arthritis synovium


FABP5
2171
MHCII high dendritic cells inflammatory arthritis synovium


FAM129A
116496
MHCII high dendritic cells inflammatory arthritis synovium


FBL
2091
MHCII high dendritic cells inflammatory arthritis synovium


FDPS
2224
MHCII high dendritic cells inflammatory arthritis synovium


FGL2
10875
MHCII high dendritic cells inflammatory arthritis synovium


FGR
2268
MHCII high dendritic cells inflammatory arthritis synovium


FH
2271
MHCII high dendritic cells inflammatory arthritis synovium


GLIPR2
152007
MHCII high dendritic cells inflammatory arthritis synovium


GM2A
2760
MHCII high dendritic cells inflammatory arthritis synovium


GPR132
29933
MHCII high dendritic cells inflammatory arthritis synovium


GPR171
29909
MHCII high dendritic cells inflammatory arthritis synovium


GRK3
157
MHCII high dendritic cells inflammatory arthritis synovium


H2AFY
9555
MHCII high dendritic cells inflammatory arthritis synovium


H2AFZ
3015
MHCII high dendritic cells inflammatory arthritis synovium


HLA-DMA
3108
MHCII high dendritic cells inflammatory arthritis synovium


HLA-DMB
3109
MHCII high dendritic cells inflammatory arthritis synovium


HLA-DQA1
3117
MHCII high dendritic cells inflammatory arthritis synovium


HLA-DQB1
3119
MHCII high dendritic cells inflammatory arthritis synovium


HLA-DRB5
3127
MHCII high dendritic cells inflammatory arthritis synovium


HM13
81502
MHCII high dendritic cells inflammatory arthritis synovium


HSD17B10
3028
MHCII high dendritic cells inflammatory arthritis synovium


HSPA1A
3303
MHCII high dendritic cells inflammatory arthritis synovium


ID2
3398
MHCII high dendritic cells inflammatory arthritis synovium


IFITM2
10581
MHCII high dendritic cells inflammatory arthritis synovium


IFNGR1
3459
MHCII high dendritic cells inflammatory arthritis synovium


IL1B
3553
MHCII high dendritic cells inflammatory arthritis synovium


IL1R2
7850
MHCII high dendritic cells inflammatory arthritis synovium


IL2RG
3561
MHCII high dendritic cells inflammatory arthritis synovium


ITGAX
3687
MHCII high dendritic cells inflammatory arthritis synovium


ITGB7
3695
MHCII high dendritic cells inflammatory arthritis synovium


JAK2
3717
MHCII high dendritic cells inflammatory arthritis synovium


JAML
120425
MHCII high dendritic cells inflammatory arthritis synovium


KIAA0040
9674
MHCII high dendritic cells inflammatory arthritis synovium


KLRB1
3820
MHCII high dendritic cells inflammatory arthritis synovium


KLRD1
3824
MHCII high dendritic cells inflammatory arthritis synovium


LACTB
114294
MHCII high dendritic cells inflammatory arthritis synovium


LIMD2
80774
MHCII high dendritic cells inflammatory arthritis synovium


LMNB1
4001
MHCII high dendritic cells inflammatory arthritis synovium


LMO4
8543
MHCII high dendritic cells inflammatory arthritis synovium


LSP1
4046
MHCII high dendritic cells inflammatory arthritis synovium


LSR
51599
MHCII high dendritic cells inflammatory arthritis synovium


LTB4R
1241
MHCII high dendritic cells inflammatory arthritis synovium


MARCKSL1
65108
MHCII high dendritic cells inflammatory arthritis synovium


MED30
90390
MHCII high dendritic cells inflammatory arthritis synovium


MPC1
51660
MHCII high dendritic cells inflammatory arthritis synovium


MYD88
4615
MHCII high dendritic cells inflammatory arthritis synovium


MYO1G
64005
MHCII high dendritic cells inflammatory arthritis synovium


NAAA
27163
MHCII high dendritic cells inflammatory arthritis synovium


NAGA
4668
MHCII high dendritic cells inflammatory arthritis synovium


NAPSA
9476
MHCII high dendritic cells inflammatory arthritis synovium


NDUFA6
4700
MHCII high dendritic cells inflammatory arthritis synovium


NR4A2
4929
MHCII high dendritic cells inflammatory arthritis synovium


OLFM1
10439
MHCII high dendritic cells inflammatory arthritis synovium


PAK1
5058
MHCII high dendritic cells inflammatory arthritis synovium


PDLIM1
9124
MHCII high dendritic cells inflammatory arthritis synovium


PFKP
5214
MHCII high dendritic cells inflammatory arthritis synovium


PIM1
5292
MHCII high dendritic cells inflammatory arthritis synovium


PKIB
5570
MHCII high dendritic cells inflammatory arthritis synovium


PLBD1
79887
MHCII high dendritic cells inflammatory arthritis synovium


PLSCR1
5359
MHCII high dendritic cells inflammatory arthritis synovium


PMVK
10654
MHCII high dendritic cells inflammatory arthritis synovium


PRCP
5547
MHCII high dendritic cells inflammatory arthritis synovium


PRKAR2A
5576
MHCII high dendritic cells inflammatory arthritis synovium


PSMB8
5696
MHCII high dendritic cells inflammatory arthritis synovium


PSMB9
5698
MHCII high dendritic cells inflammatory arthritis synovium


PSME1
5720
MHCII high dendritic cells inflammatory arthritis synovium


PTPRC
5788
MHCII high dendritic cells inflammatory arthritis synovium


RAMP1
10267
MHCII high dendritic cells inflammatory arthritis synovium


RARA
5914
MHCII high dendritic cells inflammatory arthritis synovium


REL
5966
MHCII high dendritic cells inflammatory arthritis synovium


RGS1
5996
MHCII high dendritic cells inflammatory arthritis synovium


RIN3
79890
MHCII high dendritic cells inflammatory arthritis synovium


ROGDI
79641
MHCII high dendritic cells inflammatory arthritis synovium


RPL13
6137
MHCII high dendritic cells inflammatory arthritis synovium


RPL14
9045
MHCII high dendritic cells inflammatory arthritis synovium


RPL15
6138
MHCII high dendritic cells inflammatory arthritis synovium


RPL17
6139
MHCII high dendritic cells inflammatory arthritis synovium


RPL32
6161
MHCII high dendritic cells inflammatory arthritis synovium


RPL39
6170
MHCII high dendritic cells inflammatory arthritis synovium


RPL4
6124
MHCII high dendritic cells inflammatory arthritis synovium


RPLP0
6175
MHCII high dendritic cells inflammatory arthritis synovium


RPS11
6205
MHCII high dendritic cells inflammatory arthritis synovium


RPS16
6217
MHCII high dendritic cells inflammatory arthritis synovium


RPS18
6222
MHCII high dendritic cells inflammatory arthritis synovium


RPS19
6223
MHCII high dendritic cells inflammatory arthritis synovium


RPS4Y1
6192
MHCII high dendritic cells inflammatory arthritis synovium


RPS6
6194
MHCII high dendritic cells inflammatory arthritis synovium


RPS7
6201
MHCII high dendritic cells inflammatory arthritis synovium


RPSA
3921
MHCII high dendritic cells inflammatory arthritis synovium


S100A11
6282
MHCII high dendritic cells inflammatory arthritis synovium


SCAND1
51282
MHCII high dendritic cells inflammatory arthritis synovium


SDF2L1
23753
MHCII high dendritic cells inflammatory arthritis synovium


SEC61B
10952
MHCII high dendritic cells inflammatory arthritis synovium


SELPLG
6404
MHCII high dendritic cells inflammatory arthritis synovium


SLAMF9
89886
MHCII high dendritic cells inflammatory arthritis synovium


SPINT1
6692
MHCII high dendritic cells inflammatory arthritis synovium


SRI
6717
MHCII high dendritic cells inflammatory arthritis synovium


ST3GAL4
6484
MHCII high dendritic cells inflammatory arthritis synovium


SUB1
10923
MHCII high dendritic cells inflammatory arthritis synovium


SYNGR2
9144
MHCII high dendritic cells inflammatory arthritis synovium


TAP1
6890
MHCII high dendritic cells inflammatory arthritis synovium


TAX1BP3
30851
MHCII high dendritic cells inflammatory arthritis synovium


TES
26136
MHCII high dendritic cells inflammatory arthritis synovium


TIMP1
7076
MHCII high dendritic cells inflammatory arthritis synovium


TMEM123
114908
MHCII high dendritic cells inflammatory arthritis synovium


TMEM173
340061
MHCII high dendritic cells inflammatory arthritis synovium


TMEM176A
55365
MHCII high dendritic cells inflammatory arthritis synovium


TMEM176B
28959
MHCII high dendritic cells inflammatory arthritis synovium


TMSB10
9168
MHCII high dendritic cells inflammatory arthritis synovium


TNIP3
79931
MHCII high dendritic cells inflammatory arthritis synovium


TRAF1
7185
MHCII high dendritic cells inflammatory arthritis synovium


TRAPPC5
126003
MHCII high dendritic cells inflammatory arthritis synovium


TSPAN13
27075
MHCII high dendritic cells inflammatory arthritis synovium


TUBA1A
7846
MHCII high dendritic cells inflammatory arthritis synovium


UNC119
9094
MHCII high dendritic cells inflammatory arthritis synovium


UVRAG
7405
MHCII high dendritic cells inflammatory arthritis synovium


VASP
7408
MHCII high dendritic cells inflammatory arthritis synovium


VRK1
7443
MHCII high dendritic cells inflammatory arthritis synovium


YWHAH
7533
MHCII high dendritic cells inflammatory arthritis synovium


ZYX
7791
MHCII high dendritic cells inflammatory arthritis synovium


ACOT7
11332
STMN1+ proliferating cells inflammatory arthritis synovium


ACP5
54
STMN1+ proliferating cells inflammatory arthritis synovium


ACTL6A
86
STMN1+ proliferating cells inflammatory arthritis synovium


ACTN4
81
STMN1+ proliferating cells inflammatory arthritis synovium


ADSS
159
STMN1+ proliferating cells inflammatory arthritis synovium


AGPAT5
55326
STMN1+ proliferating cells inflammatory arthritis synovium


AIMP2
7965
STMN1+ proliferating cells inflammatory arthritis synovium


AK2
204
STMN1+ proliferating cells inflammatory arthritis synovium


AK6
1.02E+08
STMN1+ proliferating cells inflammatory arthritis synovium


ALYREF
10189
STMN1+ proliferating cells inflammatory arthritis synovium


ANAPC11
51529
STMN1+ proliferating cells inflammatory arthritis synovium


ANAPC5
51433
STMN1+ proliferating cells inflammatory arthritis synovium


ANLN
54443
STMN1+ proliferating cells inflammatory arthritis synovium


ANP32B
10541
STMN1+ proliferating cells inflammatory arthritis synovium


ANP32E
81611
STMN1+ proliferating cells inflammatory arthritis synovium


AP1S1
1174
STMN1+ proliferating cells inflammatory arthritis synovium


APEX1
328
STMN1+ proliferating cells inflammatory arthritis synovium


ARHGAP11A
9824
STMN1+ proliferating cells inflammatory arthritis synovium


ARID1A
8289
STMN1+ proliferating cells inflammatory arthritis synovium


ARL6IP1
23204
STMN1+ proliferating cells inflammatory arthritis synovium


ARL8B
55207
STMN1+ proliferating cells inflammatory arthritis synovium


ARPP19
10776
STMN1+ proliferating cells inflammatory arthritis synovium


ASF1B
55723
STMN1+ proliferating cells inflammatory arthritis synovium


ASPM
259266
STMN1+ proliferating cells inflammatory arthritis synovium


ATAD2
29028
STMN1+ proliferating cells inflammatory arthritis synovium


ATP5B
506
STMN1+ proliferating cells inflammatory arthritis synovium


ATP5F1
515
STMN1+ proliferating cells inflammatory arthritis synovium


ATP5G1
516
STMN1+ proliferating cells inflammatory arthritis synovium


ATP5G2
517
STMN1+ proliferating cells inflammatory arthritis synovium


ATP5G3
518
STMN1+ proliferating cells inflammatory arthritis synovium


ATP5J2
9551
STMN1+ proliferating cells inflammatory arthritis synovium


ATP5L
10632
STMN1+ proliferating cells inflammatory arthritis synovium


ATP5ME
521
STMN1+ proliferating cells inflammatory arthritis synovium


ATP5O
539
STMN1+ proliferating cells inflammatory arthritis synovium


ATPIF1
93974
STMN1+ proliferating cells inflammatory arthritis synovium


AURKA
6790
STMN1+ proliferating cells inflammatory arthritis synovium


AURKB
9212
STMN1+ proliferating cells inflammatory arthritis synovium


BAG1
573
STMN1+ proliferating cells inflammatory arthritis synovium


BANF1
8815
STMN1+ proliferating cells inflammatory arthritis synovium


BAZ1A
11177
STMN1+ proliferating cells inflammatory arthritis synovium


BCKDK
10295
STMN1+ proliferating cells inflammatory arthritis synovium


BDH2
56898
STMN1+ proliferating cells inflammatory arthritis synovium


BEX3
27018
STMN1+ proliferating cells inflammatory arthritis synovium


BICD2
23299
STMN1+ proliferating cells inflammatory arthritis synovium


BIRC2
329
STMN1+ proliferating cells inflammatory arthritis synovium


BIRC5
332
STMN1+ proliferating cells inflammatory arthritis synovium


BOLA2
552900
STMN1+ proliferating cells inflammatory arthritis synovium


BOLA3
388962
STMN1+ proliferating cells inflammatory arthritis synovium


BRD7
29117
STMN1+ proliferating cells inflammatory arthritis synovium


BRIX1
55299
STMN1+ proliferating cells inflammatory arthritis synovium


BUB1
699
STMN1+ proliferating cells inflammatory arthritis synovium


BUB1B
701
STMN1+ proliferating cells inflammatory arthritis synovium


BUB3
9184
STMN1+ proliferating cells inflammatory arthritis synovium


C11orf58
10944
STMN1+ proliferating cells inflammatory arthritis synovium


C14orf2
9556
STMN1+ proliferating cells inflammatory arthritis synovium


C1QBP
708
STMN1+ proliferating cells inflammatory arthritis synovium


C20orf24
55969
STMN1+ proliferating cells inflammatory arthritis synovium


C4ORF3
401152
STMN1+ proliferating cells inflammatory arthritis synovium


C6orf62
81688
STMN1+ proliferating cells inflammatory arthritis synovium


CACYBP
27101
STMN1+ proliferating cells inflammatory arthritis synovium


CALM3
808
STMN1+ proliferating cells inflammatory arthritis synovium


CAPRIN1
4076
STMN1+ proliferating cells inflammatory arthritis synovium


CAV1
857
STMN1+ proliferating cells inflammatory arthritis synovium


CAV2
858
STMN1+ proliferating cells inflammatory arthritis synovium


CBFB
865
STMN1+ proliferating cells inflammatory arthritis synovium


CBX1
10951
STMN1+ proliferating cells inflammatory arthritis synovium


CBX3
11335
STMN1+ proliferating cells inflammatory arthritis synovium


CBX5
23468
STMN1+ proliferating cells inflammatory arthritis synovium


CCDC25
55246
STMN1+ proliferating cells inflammatory arthritis synovium


CCDC34
91057
STMN1+ proliferating cells inflammatory arthritis synovium


CCDC88A
55704
STMN1+ proliferating cells inflammatory arthritis synovium


CCNA2
890
STMN1+ proliferating cells inflammatory arthritis synovium


CCNB1
891
STMN1+ proliferating cells inflammatory arthritis synovium


CCNB2
9133
STMN1+ proliferating cells inflammatory arthritis synovium


CCND1
595
STMN1+ proliferating cells inflammatory arthritis synovium


CCNE2
9134
STMN1+ proliferating cells inflammatory arthritis synovium


CCT2
10576
STMN1+ proliferating cells inflammatory arthritis synovium


CCT3
7203
STMN1+ proliferating cells inflammatory arthritis synovium


CCT7
10574
STMN1+ proliferating cells inflammatory arthritis synovium


CCT8
10694
STMN1+ proliferating cells inflammatory arthritis synovium


CD44
960
STMN1+ proliferating cells inflammatory arthritis synovium


CDC20
991
STMN1+ proliferating cells inflammatory arthritis synovium


CDC45
8318
STMN1+ proliferating cells inflammatory arthritis synovium


CDCA2
157313
STMN1+ proliferating cells inflammatory arthritis synovium


CDCA3
83461
STMN1+ proliferating cells inflammatory arthritis synovium


CDCA4
55038
STMN1+ proliferating cells inflammatory arthritis synovium


CDCA8
55143
STMN1+ proliferating cells inflammatory arthritis synovium


CDK1
983
STMN1+ proliferating cells inflammatory arthritis synovium


CDK4
1019
STMN1+ proliferating cells inflammatory arthritis synovium


CDKN2C
1031
STMN1+ proliferating cells inflammatory arthritis synovium


CDKN2D
1032
STMN1+ proliferating cells inflammatory arthritis synovium


CDKN3
1033
STMN1+ proliferating cells inflammatory arthritis synovium


CENPA
1058
STMN1+ proliferating cells inflammatory arthritis synovium


CENPE
1062
STMN1+ proliferating cells inflammatory arthritis synovium


CENPF
1063
STMN1+ proliferating cells inflammatory arthritis synovium


CENPH
64946
STMN1+ proliferating cells inflammatory arthritis synovium


CENPK
64105
STMN1+ proliferating cells inflammatory arthritis synovium


CENPM
79019
STMN1+ proliferating cells inflammatory arthritis synovium


CENPQ
55166
STMN1+ proliferating cells inflammatory arthritis synovium


CENPS
370708
STMN1+ proliferating cells inflammatory arthritis synovium


CENPW
387103
STMN1+ proliferating cells inflammatory arthritis synovium


CENPX
201254
STMN1+ proliferating cells inflammatory arthritis synovium


CEP55
55165
STMN1+ proliferating cells inflammatory arthritis synovium


CEP83
51134
STMN1+ proliferating cells inflammatory arthritis synovium


CHCHD1
118487
STMN1+ proliferating cells inflammatory arthritis synovium


CHCHD10
400916
STMN1+ proliferating cells inflammatory arthritis synovium


CISD1
55847
STMN1+ proliferating cells inflammatory arthritis synovium


CITED2
10370
STMN1+ proliferating cells inflammatory arthritis synovium


CKAP2
26586
STMN1+ proliferating cells inflammatory arthritis synovium


CKAP2L
150468
STMN1+ proliferating cells inflammatory arthritis synovium


CKAP4
10970
STMN1+ proliferating cells inflammatory arthritis synovium


CKAP5
9793
STMN1+ proliferating cells inflammatory arthritis synovium


CKS1B
1163
STMN1+ proliferating cells inflammatory arthritis synovium


CKS2
1164
STMN1+ proliferating cells inflammatory arthritis synovium


CLIC4
25932
STMN1+ proliferating cells inflammatory arthritis synovium


CLSPN
63967
STMN1+ proliferating cells inflammatory arthritis synovium


CMC2
56942
STMN1+ proliferating cells inflammatory arthritis synovium


CNIH4
29097
STMN1+ proliferating cells inflammatory arthritis synovium


CNOT6
57472
STMN1+ proliferating cells inflammatory arthritis synovium


COPS9
150678
STMN1+ proliferating cells inflammatory arthritis synovium


COQ7
10229
STMN1+ proliferating cells inflammatory arthritis synovium


COX20
116228
STMN1+ proliferating cells inflammatory arthritis synovium


COX5A
9377
STMN1+ proliferating cells inflammatory arthritis synovium


COX5B
1329
STMN1+ proliferating cells inflammatory arthritis synovium


COX6C
1345
STMN1+ proliferating cells inflammatory arthritis synovium


COX7A2
1347
STMN1+ proliferating cells inflammatory arthritis synovium


COX7C
1350
STMN1+ proliferating cells inflammatory arthritis synovium


CPSF2
53981
STMN1+ proliferating cells inflammatory arthritis synovium


CRIP2
1397
STMN1+ proliferating cells inflammatory arthritis synovium


CSRP1
1465
STMN1+ proliferating cells inflammatory arthritis synovium


CTCF
10664
STMN1+ proliferating cells inflammatory arthritis synovium


CTNNB1
1499
STMN1+ proliferating cells inflammatory arthritis synovium


CTSK
1513
STMN1+ proliferating cells inflammatory arthritis synovium


CYB5R3
1727
STMN1+ proliferating cells inflammatory arthritis synovium


CYC1
1537
STMN1+ proliferating cells inflammatory arthritis synovium


CYCS
54205
STMN1+ proliferating cells inflammatory arthritis synovium


DAZAP1
26528
STMN1+ proliferating cells inflammatory arthritis synovium


DBF4
10926
STMN1+ proliferating cells inflammatory arthritis synovium


DCK
1633
STMN1+ proliferating cells inflammatory arthritis synovium


DCTPP1
79077
STMN1+ proliferating cells inflammatory arthritis synovium


DCUN1D5
84259
STMN1+ proliferating cells inflammatory arthritis synovium


DDT
1652
STMN1+ proliferating cells inflammatory arthritis synovium


DDX18
8886
STMN1+ proliferating cells inflammatory arthritis synovium


DDX21
9188
STMN1+ proliferating cells inflammatory arthritis synovium


DDX39A
10212
STMN1+ proliferating cells inflammatory arthritis synovium


DDX39B
7919
STMN1+ proliferating cells inflammatory arthritis synovium


DEK
7913
STMN1+ proliferating cells inflammatory arthritis synovium


DENR
8562
STMN1+ proliferating cells inflammatory arthritis synovium


DHFR
1719
STMN1+ proliferating cells inflammatory arthritis synovium


DHX15
1665
STMN1+ proliferating cells inflammatory arthritis synovium


DHX9
1660
STMN1+ proliferating cells inflammatory arthritis synovium


DIAPH3
81624
STMN1+ proliferating cells inflammatory arthritis synovium


DKC1
1736
STMN1+ proliferating cells inflammatory arthritis synovium


DLGAP5
9787
STMN1+ proliferating cells inflammatory arthritis synovium


DNAJC2
27000
STMN1+ proliferating cells inflammatory arthritis synovium


DNAJC9
23234
STMN1+ proliferating cells inflammatory arthritis synovium


DNMT1
1786
STMN1+ proliferating cells inflammatory arthritis synovium


DNPH1
10591
STMN1+ proliferating cells inflammatory arthritis synovium


DPY30
84661
STMN1+ proliferating cells inflammatory arthritis synovium


DTYMK
1841
STMN1+ proliferating cells inflammatory arthritis synovium


DUT
1854
STMN1+ proliferating cells inflammatory arthritis synovium


DYNLL2
140735
STMN1+ proliferating cells inflammatory arthritis synovium


DYNLT1
6993
STMN1+ proliferating cells inflammatory arthritis synovium


EEF1B2
1933
STMN1+ proliferating cells inflammatory arthritis synovium


EEF1D
1936
STMN1+ proliferating cells inflammatory arthritis synovium


EEF1E1
9521
STMN1+ proliferating cells inflammatory arthritis synovium


EEF1G
1937
STMN1+ proliferating cells inflammatory arthritis synovium


EIF1AD
84285
STMN1+ proliferating cells inflammatory arthritis synovium


EIF1AY
9086
STMN1+ proliferating cells inflammatory arthritis synovium


EIF2S2
8894
STMN1+ proliferating cells inflammatory arthritis synovium


EIF3A
8661
STMN1+ proliferating cells inflammatory arthritis synovium


EIF3C
8663
STMN1+ proliferating cells inflammatory arthritis synovium


EIF3J
8669
STMN1+ proliferating cells inflammatory arthritis synovium


EIF4G2
1982
STMN1+ proliferating cells inflammatory arthritis synovium


EIF5A
1984
STMN1+ proliferating cells inflammatory arthritis synovium


EIF6
3692
STMN1+ proliferating cells inflammatory arthritis synovium


ELAVL1
1994
STMN1+ proliferating cells inflammatory arthritis synovium


ELOC
6921
STMN1+ proliferating cells inflammatory arthritis synovium


EMG1
10436
STMN1+ proliferating cells inflammatory arthritis synovium


ENY2
56943
STMN1+ proliferating cells inflammatory arthritis synovium


ERH
2079
STMN1+ proliferating cells inflammatory arthritis synovium


ERI1
90459
STMN1+ proliferating cells inflammatory arthritis synovium


ESCO2
157570
STMN1+ proliferating cells inflammatory arthritis synovium


ETFB
2109
STMN1+ proliferating cells inflammatory arthritis synovium


EXOSC8
11340
STMN1+ proliferating cells inflammatory arthritis synovium


EZH2
2146
STMN1+ proliferating cells inflammatory arthritis synovium


FABP5
2171
STMN1+ proliferating cells inflammatory arthritis synovium


FAM111A
63901
STMN1+ proliferating cells inflammatory arthritis synovium


FAM133B
257415
STMN1+ proliferating cells inflammatory arthritis synovium


FBL
2091
STMN1+ proliferating cells inflammatory arthritis synovium


FBXO5
26271
STMN1+ proliferating cells inflammatory arthritis synovium


FEN1
2237
STMN1+ proliferating cells inflammatory arthritis synovium


FIGNL1
63979
STMN1+ proliferating cells inflammatory arthritis synovium


FKBP2
2286
STMN1+ proliferating cells inflammatory arthritis synovium


FKBP3
2287
STMN1+ proliferating cells inflammatory arthritis synovium


FKBP4
2288
STMN1+ proliferating cells inflammatory arthritis synovium


FUS
2521
STMN1+ proliferating cells inflammatory arthritis synovium


FXN
2395
STMN1+ proliferating cells inflammatory arthritis synovium


G3BP1
10146
STMN1+ proliferating cells inflammatory arthritis synovium


GADD45GIP1
90480
STMN1+ proliferating cells inflammatory arthritis synovium


GAR1
54433
STMN1+ proliferating cells inflammatory arthritis synovium


GAS2L3
283431
STMN1+ proliferating cells inflammatory arthritis synovium


GATM
2628
STMN1+ proliferating cells inflammatory arthritis synovium


GEMIN6
79833
STMN1+ proliferating cells inflammatory arthritis synovium


GINS2
51659
STMN1+ proliferating cells inflammatory arthritis synovium


GJA1
2697
STMN1+ proliferating cells inflammatory arthritis synovium


GLIPR1
11010
STMN1+ proliferating cells inflammatory arthritis synovium


GMNN
51053
STMN1+ proliferating cells inflammatory arthritis synovium


GNL3
26354
STMN1+ proliferating cells inflammatory arthritis synovium


GSPT1
2935
STMN1+ proliferating cells inflammatory arthritis synovium


GTF2H5
404672
STMN1+ proliferating cells inflammatory arthritis synovium


H1-4
3008
STMN1+ proliferating cells inflammatory arthritis synovium


H1-5
3009
STMN1+ proliferating cells inflammatory arthritis synovium


H2AFV
94239
STMN1+ proliferating cells inflammatory arthritis synovium


H2AFX
3014
STMN1+ proliferating cells inflammatory arthritis synovium


H2AFY
9555
STMN1+ proliferating cells inflammatory arthritis synovium


H2AFZ
3015
STMN1+ proliferating cells inflammatory arthritis synovium


HACD1
9200
STMN1+ proliferating cells inflammatory arthritis synovium


HAT1
8520
STMN1+ proliferating cells inflammatory arthritis synovium


HAUS1
115106
STMN1+ proliferating cells inflammatory arthritis synovium


HAUS4
54930
STMN1+ proliferating cells inflammatory arthritis synovium


HDAC2
3066
STMN1+ proliferating cells inflammatory arthritis synovium


HDGF
3068
STMN1+ proliferating cells inflammatory arthritis synovium


HELLS
3070
STMN1+ proliferating cells inflammatory arthritis synovium


HINT1
3094
STMN1+ proliferating cells inflammatory arthritis synovium


HIRIP3
8479
STMN1+ proliferating cells inflammatory arthritis synovium


HIST1H1D
3007
STMN1+ proliferating cells inflammatory arthritis synovium


HIST1H2AL
8332
STMN1+ proliferating cells inflammatory arthritis synovium


HIST1H4A
8359
STMN1+ proliferating cells inflammatory arthritis synovium


HIST2H2AC
8338
STMN1+ proliferating cells inflammatory arthritis synovium


HJURP
55355
STMN1+ proliferating cells inflammatory arthritis synovium


HMGB1
3146
STMN1+ proliferating cells inflammatory arthritis synovium


HMGB2
3148
STMN1+ proliferating cells inflammatory arthritis synovium


HMGB3
3149
STMN1+ proliferating cells inflammatory arthritis synovium


HMGN1
3150
STMN1+ proliferating cells inflammatory arthritis synovium


HMGN2
3151
STMN1+ proliferating cells inflammatory arthritis synovium


HMGN5
79366
STMN1+ proliferating cells inflammatory arthritis synovium


HMMR
3161
STMN1+ proliferating cells inflammatory arthritis synovium


HNRNPA0
10949
STMN1+ proliferating cells inflammatory arthritis synovium


HNRNPA1
3178
STMN1+ proliferating cells inflammatory arthritis synovium


HNRNPA2B1
3181
STMN1+ proliferating cells inflammatory arthritis synovium


HNRNPA3
220988
STMN1+ proliferating cells inflammatory arthritis synovium


HNRNPAB
3182
STMN1+ proliferating cells inflammatory arthritis synovium


HNRNPD
3184
STMN1+ proliferating cells inflammatory arthritis synovium


HNRNPM
4670
STMN1+ proliferating cells inflammatory arthritis synovium


HNRNPU
3192
STMN1+ proliferating cells inflammatory arthritis synovium


HP1BP3
50809
STMN1+ proliferating cells inflammatory arthritis synovium


HPF1
54969
STMN1+ proliferating cells inflammatory arthritis synovium


HSP90AA1
3320
STMN1+ proliferating cells inflammatory arthritis synovium


HSP90AB1
3326
STMN1+ proliferating cells inflammatory arthritis synovium


HSP90B1
7184
STMN1+ proliferating cells inflammatory arthritis synovium


HSPA14
51182
STMN1+ proliferating cells inflammatory arthritis synovium


HSPA9
3313
STMN1+ proliferating cells inflammatory arthritis synovium


HSPD1
3329
STMN1+ proliferating cells inflammatory arthritis synovium


HSPE1
3336
STMN1+ proliferating cells inflammatory arthritis synovium


HUWE1
10075
STMN1+ proliferating cells inflammatory arthritis synovium


IDH3A
3419
STMN1+ proliferating cells inflammatory arthritis synovium


ILF2
3608
STMN1+ proliferating cells inflammatory arthritis synovium


ILF3
3609
STMN1+ proliferating cells inflammatory arthritis synovium


IMMT
10989
STMN1+ proliferating cells inflammatory arthritis synovium


IMPDH2
3615
STMN1+ proliferating cells inflammatory arthritis synovium


INCENP
3619
STMN1+ proliferating cells inflammatory arthritis synovium


ING1
3621
STMN1+ proliferating cells inflammatory arthritis synovium


IPO5
3843
STMN1+ proliferating cells inflammatory arthritis synovium


ITGAV
3685
STMN1+ proliferating cells inflammatory arthritis synovium


ITPA
3704
STMN1+ proliferating cells inflammatory arthritis synovium


IVNS1ABP
10625
STMN1+ proliferating cells inflammatory arthritis synovium


JPT1
51155
STMN1+ proliferating cells inflammatory arthritis synovium


KDELR2
11014
STMN1+ proliferating cells inflammatory arthritis synovium


KHSRP
8570
STMN1+ proliferating cells inflammatory arthritis synovium


KIAA1524
57650
STMN1+ proliferating cells inflammatory arthritis synovium


KIF11
3832
STMN1+ proliferating cells inflammatory arthritis synovium


KIF15
56992
STMN1+ proliferating cells inflammatory arthritis synovium


KIF20A
10112
STMN1+ proliferating cells inflammatory arthritis synovium


KIF20B
9585
STMN1+ proliferating cells inflammatory arthritis synovium


KIF22
3835
STMN1+ proliferating cells inflammatory arthritis synovium


KIF23
9493
STMN1+ proliferating cells inflammatory arthritis synovium


KIF4A
24137
STMN1+ proliferating cells inflammatory arthritis synovium


KIFC1
3833
STMN1+ proliferating cells inflammatory arthritis synovium


KLHL5
51088
STMN1+ proliferating cells inflammatory arthritis synovium


KMT5A
387893
STMN1+ proliferating cells inflammatory arthritis synovium


KNL1
57082
STMN1+ proliferating cells inflammatory arthritis synovium


KNSTRN
90417
STMN1+ proliferating cells inflammatory arthritis synovium


KPNA2
3838
STMN1+ proliferating cells inflammatory arthritis synovium


KPNA3
3839
STMN1+ proliferating cells inflammatory arthritis synovium


KPNB1
3837
STMN1+ proliferating cells inflammatory arthritis synovium


KTN1
3895
STMN1+ proliferating cells inflammatory arthritis synovium


LARP7
51574
STMN1+ proliferating cells inflammatory arthritis synovium


LARS
51520
STMN1+ proliferating cells inflammatory arthritis synovium


LBR
3930
STMN1+ proliferating cells inflammatory arthritis synovium


LDHA
3939
STMN1+ proliferating cells inflammatory arthritis synovium


LIG1
3978
STMN1+ proliferating cells inflammatory arthritis synovium


LMF2
91289
STMN1+ proliferating cells inflammatory arthritis synovium


LMNA
4000
STMN1+ proliferating cells inflammatory arthritis synovium


LMO4
8543
STMN1+ proliferating cells inflammatory arthritis synovium


LPL
4023
STMN1+ proliferating cells inflammatory arthritis synovium


LRPPRC
10128
STMN1+ proliferating cells inflammatory arthritis synovium


LRR1
122769
STMN1+ proliferating cells inflammatory arthritis synovium


LSM2
57819
STMN1+ proliferating cells inflammatory arthritis synovium


LSM3
27258
STMN1+ proliferating cells inflammatory arthritis synovium


LSM4
25804
STMN1+ proliferating cells inflammatory arthritis synovium


LSM5
23658
STMN1+ proliferating cells inflammatory arthritis synovium


LSM6
11157
STMN1+ proliferating cells inflammatory arthritis synovium


LSM7
51690
STMN1+ proliferating cells inflammatory arthritis synovium


LSM8
51691
STMN1+ proliferating cells inflammatory arthritis synovium


LUC7L3
51747
STMN1+ proliferating cells inflammatory arthritis synovium


LYAR
55646
STMN1+ proliferating cells inflammatory arthritis synovium


M6PR
4074
STMN1+ proliferating cells inflammatory arthritis synovium


MAD2L1
4085
STMN1+ proliferating cells inflammatory arthritis synovium


MAGOH
4116
STMN1+ proliferating cells inflammatory arthritis synovium


MAGOHB
55110
STMN1+ proliferating cells inflammatory arthritis synovium


MAP4K4
9448
STMN1+ proliferating cells inflammatory arthritis synovium


MAPK1
5594
STMN1+ proliferating cells inflammatory arthritis synovium


MATR3
9782
STMN1+ proliferating cells inflammatory arthritis synovium


MBD3
53615
STMN1+ proliferating cells inflammatory arthritis synovium


MCM3
4172
STMN1+ proliferating cells inflammatory arthritis synovium


MCM4
4173
STMN1+ proliferating cells inflammatory arthritis synovium


MCM5
4174
STMN1+ proliferating cells inflammatory arthritis synovium


MCM6
4175
STMN1+ proliferating cells inflammatory arthritis synovium


MCM7
4176
STMN1+ proliferating cells inflammatory arthritis synovium


MDH2
4191
STMN1+ proliferating cells inflammatory arthritis synovium


MED30
90390
STMN1+ proliferating cells inflammatory arthritis synovium


MELK
9833
STMN1+ proliferating cells inflammatory arthritis synovium


METAP2
10988
STMN1+ proliferating cells inflammatory arthritis synovium


MIF
4282
STMN1+ proliferating cells inflammatory arthritis synovium


MINOS1
440574
STMN1+ proliferating cells inflammatory arthritis synovium


MIS12
79003
STMN1+ proliferating cells inflammatory arthritis synovium


MIS18A
54069
STMN1+ proliferating cells inflammatory arthritis synovium


MIS18BP1
55320
STMN1+ proliferating cells inflammatory arthritis synovium


MKI67
4288
STMN1+ proliferating cells inflammatory arthritis synovium


MMP14
4323
STMN1+ proliferating cells inflammatory arthritis synovium


MPHOSPH6
10200
STMN1+ proliferating cells inflammatory arthritis synovium


MRPL12
6182
STMN1+ proliferating cells inflammatory arthritis synovium


MRPL15
29088
STMN1+ proliferating cells inflammatory arthritis synovium


MRPL18
29074
STMN1+ proliferating cells inflammatory arthritis synovium


MRPL28
10573
STMN1+ proliferating cells inflammatory arthritis synovium


MRPL34
64981
STMN1+ proliferating cells inflammatory arthritis synovium


MRPL42
28977
STMN1+ proliferating cells inflammatory arthritis synovium


MRPL49
740
STMN1+ proliferating cells inflammatory arthritis synovium


MRPL51
51258
STMN1+ proliferating cells inflammatory arthritis synovium


MRPL52
122704
STMN1+ proliferating cells inflammatory arthritis synovium


MRPL57
78988
STMN1+ proliferating cells inflammatory arthritis synovium


MRPS14
63931
STMN1+ proliferating cells inflammatory arthritis synovium


MRPS17
51373
STMN1+ proliferating cells inflammatory arthritis synovium


MRPS25
64432
STMN1+ proliferating cells inflammatory arthritis synovium


MRPS26
64949
STMN1+ proliferating cells inflammatory arthritis synovium


MRPS28
28957
STMN1+ proliferating cells inflammatory arthritis synovium


MRPS36
92259
STMN1+ proliferating cells inflammatory arthritis synovium


MT-ATP6
4508
STMN1+ proliferating cells inflammatory arthritis synovium


MT-ATP8
4509
STMN1+ proliferating cells inflammatory arthritis synovium


MT-CO1
4512
STMN1+ proliferating cells inflammatory arthritis synovium


MT-CO2
4513
STMN1+ proliferating cells inflammatory arthritis synovium


MT-CO3
4514
STMN1+ proliferating cells inflammatory arthritis synovium


MT-ND1
4535
STMN1+ proliferating cells inflammatory arthritis synovium


MT-ND3
4537
STMN1+ proliferating cells inflammatory arthritis synovium


MT-ND4L
4539
STMN1+ proliferating cells inflammatory arthritis synovium


MT1A
4489
STMN1+ proliferating cells inflammatory arthritis synovium


MT2A
4502
STMN1+ proliferating cells inflammatory arthritis synovium


MXD3
83463
STMN1+ proliferating cells inflammatory arthritis synovium


MYADM
91663
STMN1+ proliferating cells inflammatory arthritis synovium


MYBBP1A
10514
STMN1+ proliferating cells inflammatory arthritis synovium


MYBL2
4605
STMN1+ proliferating cells inflammatory arthritis synovium


MYCBP
26292
STMN1+ proliferating cells inflammatory arthritis synovium


MYEF2
50804
STMN1+ proliferating cells inflammatory arthritis synovium


NAA10
8260
STMN1+ proliferating cells inflammatory arthritis synovium


NAA50
80218
STMN1+ proliferating cells inflammatory arthritis synovium


NANS
54187
STMN1+ proliferating cells inflammatory arthritis synovium


NAP1L1
4673
STMN1+ proliferating cells inflammatory arthritis synovium


NASP
4678
STMN1+ proliferating cells inflammatory arthritis synovium


NAV2
89797
STMN1+ proliferating cells inflammatory arthritis synovium


NCAPD2
9918
STMN1+ proliferating cells inflammatory arthritis synovium


NCAPD3
23310
STMN1+ proliferating cells inflammatory arthritis synovium


NCAPG
64151
STMN1+ proliferating cells inflammatory arthritis synovium


NCAPG2
54892
STMN1+ proliferating cells inflammatory arthritis synovium


NCAPH
23397
STMN1+ proliferating cells inflammatory arthritis synovium


NCAPH2
29781
STMN1+ proliferating cells inflammatory arthritis synovium


NCBP1
4686
STMN1+ proliferating cells inflammatory arthritis synovium


NCL
4691
STMN1+ proliferating cells inflammatory arthritis synovium


NDC80
10403
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFA12
55967
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFA2
4695
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFA5
4698
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFAB1
4706
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFAF2
91942
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFAF4
29078
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFB10
4716
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFB11
54539
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFB6
4712
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFB7
4713
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFB8
4714
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFC1
4717
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFC2
4718
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFS5
4725
STMN1+ proliferating cells inflammatory arthritis synovium


NDUFV2
4729
STMN1+ proliferating cells inflammatory arthritis synovium


NFATC1
4772
STMN1+ proliferating cells inflammatory arthritis synovium


NHP2
55651
STMN1+ proliferating cells inflammatory arthritis synovium


NME1
4830
STMN1+ proliferating cells inflammatory arthritis synovium


NMRAL1
57407
STMN1+ proliferating cells inflammatory arthritis synovium


NMT2
9397
STMN1+ proliferating cells inflammatory arthritis synovium


NOL7
51406
STMN1+ proliferating cells inflammatory arthritis synovium


NOLC1
9221
STMN1+ proliferating cells inflammatory arthritis synovium


NONO
4841
STMN1+ proliferating cells inflammatory arthritis synovium


NOP10
55505
STMN1+ proliferating cells inflammatory arthritis synovium


NOP16
51491
STMN1+ proliferating cells inflammatory arthritis synovium


NOP56
10528
STMN1+ proliferating cells inflammatory arthritis synovium


NOP58
51602
STMN1+ proliferating cells inflammatory arthritis synovium


NPM1
4869
STMN1+ proliferating cells inflammatory arthritis synovium


NPM3
10360
STMN1+ proliferating cells inflammatory arthritis synovium


NRM
11270
STMN1+ proliferating cells inflammatory arthritis synovium


NRP2
8828
STMN1+ proliferating cells inflammatory arthritis synovium


NSD2
7468
STMN1+ proliferating cells inflammatory arthritis synovium


NSMCE1
197370
STMN1+ proliferating cells inflammatory arthritis synovium


NSUN2
54888
STMN1+ proliferating cells inflammatory arthritis synovium


NUBP1
4682
STMN1+ proliferating cells inflammatory arthritis synovium


NUCKS1
64710
STMN1+ proliferating cells inflammatory arthritis synovium


NUDC
10726
STMN1+ proliferating cells inflammatory arthritis synovium


NUDCD2
134492
STMN1+ proliferating cells inflammatory arthritis synovium


NUDT5
11164
STMN1+ proliferating cells inflammatory arthritis synovium


NUF2
83540
STMN1+ proliferating cells inflammatory arthritis synovium


NUMA1
4926
STMN1+ proliferating cells inflammatory arthritis synovium


NUP35
129401
STMN1+ proliferating cells inflammatory arthritis synovium


NUP85
79902
STMN1+ proliferating cells inflammatory arthritis synovium


NUP93
9688
STMN1+ proliferating cells inflammatory arthritis synovium


NUSAP1
51203
STMN1+ proliferating cells inflammatory arthritis synovium


NXT1
29107
STMN1+ proliferating cells inflammatory arthritis synovium


ODC1
4953
STMN1+ proliferating cells inflammatory arthritis synovium


ODF2
4957
STMN1+ proliferating cells inflammatory arthritis synovium


OLA1
29789
STMN1+ proliferating cells inflammatory arthritis synovium


ORC6
23594
STMN1+ proliferating cells inflammatory arthritis synovium


OXCT1
5019
STMN1+ proliferating cells inflammatory arthritis synovium


PA2G4
5036
STMN1+ proliferating cells inflammatory arthritis synovium


PABPC1
26986
STMN1+ proliferating cells inflammatory arthritis synovium


PABPC4
8761
STMN1+ proliferating cells inflammatory arthritis synovium


PAICS
10606
STMN1+ proliferating cells inflammatory arthritis synovium


PARK7
11315
STMN1+ proliferating cells inflammatory arthritis synovium


PARL
55486
STMN1+ proliferating cells inflammatory arthritis synovium


PBK
55872
STMN1+ proliferating cells inflammatory arthritis synovium


PBRM1
55193
STMN1+ proliferating cells inflammatory arthritis synovium


PCBD2
84105
STMN1+ proliferating cells inflammatory arthritis synovium


PCBP1
5093
STMN1+ proliferating cells inflammatory arthritis synovium


PCBP2
5094
STMN1+ proliferating cells inflammatory arthritis synovium


PCLAF
9768
STMN1+ proliferating cells inflammatory arthritis synovium


PCNA
5111
STMN1+ proliferating cells inflammatory arthritis synovium


PDAP1
11333
STMN1+ proliferating cells inflammatory arthritis synovium


PDCD5
9141
STMN1+ proliferating cells inflammatory arthritis synovium


PDPK1
5170
STMN1+ proliferating cells inflammatory arthritis synovium


PDS5A
23244
STMN1+ proliferating cells inflammatory arthritis synovium


PFDN4
5203
STMN1+ proliferating cells inflammatory arthritis synovium


PFDN6
10471
STMN1+ proliferating cells inflammatory arthritis synovium


PGK1
5230
STMN1+ proliferating cells inflammatory arthritis synovium


PGP
283871
STMN1+ proliferating cells inflammatory arthritis synovium


PHB2
11331
STMN1+ proliferating cells inflammatory arthritis synovium


PIH1D1
55011
STMN1+ proliferating cells inflammatory arthritis synovium


PIMREG
54478
STMN1+ proliferating cells inflammatory arthritis synovium


PKMYT1
9088
STMN1+ proliferating cells inflammatory arthritis synovium


PLK1
5347
STMN1+ proliferating cells inflammatory arthritis synovium


PLK4
10733
STMN1+ proliferating cells inflammatory arthritis synovium


PLP2
5355
STMN1+ proliferating cells inflammatory arthritis synovium


PMF1
11243
STMN1+ proliferating cells inflammatory arthritis synovium


PNN
5411
STMN1+ proliferating cells inflammatory arthritis synovium


POLD2
5425
STMN1+ proliferating cells inflammatory arthritis synovium


POLE3
54107
STMN1+ proliferating cells inflammatory arthritis synovium


POLE4
56655
STMN1+ proliferating cells inflammatory arthritis synovium


POLR2A
5430
STMN1+ proliferating cells inflammatory arthritis synovium


POLR2F
5435
STMN1+ proliferating cells inflammatory arthritis synovium


POLR2L
5441
STMN1+ proliferating cells inflammatory arthritis synovium


PPA1
5464
STMN1+ proliferating cells inflammatory arthritis synovium


PPIA
5478
STMN1+ proliferating cells inflammatory arthritis synovium


PPID
5481
STMN1+ proliferating cells inflammatory arthritis synovium


PPIH
10465
STMN1+ proliferating cells inflammatory arthritis synovium


PPP2R5C
5527
STMN1+ proliferating cells inflammatory arthritis synovium


PRC1
9055
STMN1+ proliferating cells inflammatory arthritis synovium


PRDX4
10549
STMN1+ proliferating cells inflammatory arthritis synovium


PRIM1
5557
STMN1+ proliferating cells inflammatory arthritis synovium


PRKAR2A
5576
STMN1+ proliferating cells inflammatory arthritis synovium


PRMT1
3276
STMN1+ proliferating cells inflammatory arthritis synovium


PRR11
55771
STMN1+ proliferating cells inflammatory arthritis synovium


PRRC2A
7916
STMN1+ proliferating cells inflammatory arthritis synovium


PSAT1
29968
STMN1+ proliferating cells inflammatory arthritis synovium


PSIP1
11168
STMN1+ proliferating cells inflammatory arthritis synovium


PSMA6
5687
STMN1+ proliferating cells inflammatory arthritis synovium


PSMB7
5695
STMN1+ proliferating cells inflammatory arthritis synovium


PSMC3
5702
STMN1+ proliferating cells inflammatory arthritis synovium


PSMD1
5707
STMN1+ proliferating cells inflammatory arthritis synovium


PSMD10
5716
STMN1+ proliferating cells inflammatory arthritis synovium


PSMD14
10213
STMN1+ proliferating cells inflammatory arthritis synovium


PSMG2
56984
STMN1+ proliferating cells inflammatory arthritis synovium


PTBP1
5725
STMN1+ proliferating cells inflammatory arthritis synovium


PTGES3
10728
STMN1+ proliferating cells inflammatory arthritis synovium


PTMA
5757
STMN1+ proliferating cells inflammatory arthritis synovium


PTPN7
5778
STMN1+ proliferating cells inflammatory arthritis synovium


PURB
5814
STMN1+ proliferating cells inflammatory arthritis synovium


QDPR
5860
STMN1+ proliferating cells inflammatory arthritis synovium


RACGAP1
29127
STMN1+ proliferating cells inflammatory arthritis synovium


RACK1
10399
STMN1+ proliferating cells inflammatory arthritis synovium


RAD21
5885
STMN1+ proliferating cells inflammatory arthritis synovium


RAD23B
5887
STMN1+ proliferating cells inflammatory arthritis synovium


RAD51
5888
STMN1+ proliferating cells inflammatory arthritis synovium


RAD51AP1
10635
STMN1+ proliferating cells inflammatory arthritis synovium


RAD54L
8438
STMN1+ proliferating cells inflammatory arthritis synovium


RAN
5901
STMN1+ proliferating cells inflammatory arthritis synovium


RANBP1
5902
STMN1+ proliferating cells inflammatory arthritis synovium


RANGAP1
5905
STMN1+ proliferating cells inflammatory arthritis synovium


RBBP4
5928
STMN1+ proliferating cells inflammatory arthritis synovium


RBBP7
5931
STMN1+ proliferating cells inflammatory arthritis synovium


RBM3
5935
STMN1+ proliferating cells inflammatory arthritis synovium


RBM8A
9939
STMN1+ proliferating cells inflammatory arthritis synovium


RCC1
1104
STMN1+ proliferating cells inflammatory arthritis synovium


RCC2
55920
STMN1+ proliferating cells inflammatory arthritis synovium


RDM1
201299
STMN1+ proliferating cells inflammatory arthritis synovium


RDX
5962
STMN1+ proliferating cells inflammatory arthritis synovium


RFC1
5981
STMN1+ proliferating cells inflammatory arthritis synovium


RFC2
5982
STMN1+ proliferating cells inflammatory arthritis synovium


RFC3
5983
STMN1+ proliferating cells inflammatory arthritis synovium


RFC4
5984
STMN1+ proliferating cells inflammatory arthritis synovium


RFC5
5985
STMN1+ proliferating cells inflammatory arthritis synovium


RFWD3
55159
STMN1+ proliferating cells inflammatory arthritis synovium


RHNO1
83695
STMN1+ proliferating cells inflammatory arthritis synovium


RNASEH2A
10535
STMN1+ proliferating cells inflammatory arthritis synovium


RNASEH2B
79621
STMN1+ proliferating cells inflammatory arthritis synovium


RNASEH2C
84153
STMN1+ proliferating cells inflammatory arthritis synovium


RNF19B
127544
STMN1+ proliferating cells inflammatory arthritis synovium


RNF7
9616
STMN1+ proliferating cells inflammatory arthritis synovium


RNPS1
10921
STMN1+ proliferating cells inflammatory arthritis synovium


ROCK2
9475
STMN1+ proliferating cells inflammatory arthritis synovium


RPA1
6117
STMN1+ proliferating cells inflammatory arthritis synovium


RPA2
6118
STMN1+ proliferating cells inflammatory arthritis synovium


RPA3
6119
STMN1+ proliferating cells inflammatory arthritis synovium


RPL10A
4736
STMN1+ proliferating cells inflammatory arthritis synovium


RPL12
6136
STMN1+ proliferating cells inflammatory arthritis synovium


RPL13A
23521
STMN1+ proliferating cells inflammatory arthritis synovium


RPL14
9045
STMN1+ proliferating cells inflammatory arthritis synovium


RPL18
6141
STMN1+ proliferating cells inflammatory arthritis synovium


RPL21
6144
STMN1+ proliferating cells inflammatory arthritis synovium


RPL22
6146
STMN1+ proliferating cells inflammatory arthritis synovium


RPL22L1
200916
STMN1+ proliferating cells inflammatory arthritis synovium


RPL23
9349
STMN1+ proliferating cells inflammatory arthritis synovium


RPL28
6158
STMN1+ proliferating cells inflammatory arthritis synovium


RPL30
6156
STMN1+ proliferating cells inflammatory arthritis synovium


RPL31
6160
STMN1+ proliferating cells inflammatory arthritis synovium


RPL32
6161
STMN1+ proliferating cells inflammatory arthritis synovium


RPL35
11224
STMN1+ proliferating cells inflammatory arthritis synovium


RPL35A
6165
STMN1+ proliferating cells inflammatory arthritis synovium


RPL36
25873
STMN1+ proliferating cells inflammatory arthritis synovium


RPL36A
6173
STMN1+ proliferating cells inflammatory arthritis synovium


RPL37A
6168
STMN1+ proliferating cells inflammatory arthritis synovium


RPL38
6169
STMN1+ proliferating cells inflammatory arthritis synovium


RPL39
6170
STMN1+ proliferating cells inflammatory arthritis synovium


RPL5
6125
STMN1+ proliferating cells inflammatory arthritis synovium


RPLP1
6176
STMN1+ proliferating cells inflammatory arthritis synovium


RPLP2
6181
STMN1+ proliferating cells inflammatory arthritis synovium


RPS10
6204
STMN1+ proliferating cells inflammatory arthritis synovium


RPS12
6206
STMN1+ proliferating cells inflammatory arthritis synovium


RPS13
6207
STMN1+ proliferating cells inflammatory arthritis synovium


RPS15
6209
STMN1+ proliferating cells inflammatory arthritis synovium


RPS15A
6210
STMN1+ proliferating cells inflammatory arthritis synovium


RPS17
6218
STMN1+ proliferating cells inflammatory arthritis synovium


RPS18
6222
STMN1+ proliferating cells inflammatory arthritis synovium


RPS19
6223
STMN1+ proliferating cells inflammatory arthritis synovium


RPS19BP1
91582
STMN1+ proliferating cells inflammatory arthritis synovium


RPS2
6187
STMN1+ proliferating cells inflammatory arthritis synovium


RPS20
6224
STMN1+ proliferating cells inflammatory arthritis synovium


RPS21
6227
STMN1+ proliferating cells inflammatory arthritis synovium


RPS24
6229
STMN1+ proliferating cells inflammatory arthritis synovium


RPS26
6231
STMN1+ proliferating cells inflammatory arthritis synovium


RPS27A
6233
STMN1+ proliferating cells inflammatory arthritis synovium


RPS27L
51065
STMN1+ proliferating cells inflammatory arthritis synovium


RPS3A
6189
STMN1+ proliferating cells inflammatory arthritis synovium


RPS5
6193
STMN1+ proliferating cells inflammatory arthritis synovium


RPS8
6202
STMN1+ proliferating cells inflammatory arthritis synovium


RPSA
3921
STMN1+ proliferating cells inflammatory arthritis synovium


RRM1
6240
STMN1+ proliferating cells inflammatory arthritis synovium


RRM2
6241
STMN1+ proliferating cells inflammatory arthritis synovium


RSL1D1
26156
STMN1+ proliferating cells inflammatory arthritis synovium


S100A10
6281
STMN1+ proliferating cells inflammatory arthritis synovium


S100A4
6275
STMN1+ proliferating cells inflammatory arthritis synovium


SAE1
10055
STMN1+ proliferating cells inflammatory arthritis synovium


SDC3
9672
STMN1+ proliferating cells inflammatory arthritis synovium


SDHD
6392
STMN1+ proliferating cells inflammatory arthritis synovium


SEC11C
90701
STMN1+ proliferating cells inflammatory arthritis synovium


SEC31A
22872
STMN1+ proliferating cells inflammatory arthritis synovium


SELENOH
280636
STMN1+ proliferating cells inflammatory arthritis synovium


SERBP1
26135
STMN1+ proliferating cells inflammatory arthritis synovium


SET
6418
STMN1+ proliferating cells inflammatory arthritis synovium


SF3A3
10946
STMN1+ proliferating cells inflammatory arthritis synovium


SF3B3
23450
STMN1+ proliferating cells inflammatory arthritis synovium


SF3B5
83443
STMN1+ proliferating cells inflammatory arthritis synovium


SFPQ
6421
STMN1+ proliferating cells inflammatory arthritis synovium


SFXN1
94081
STMN1+ proliferating cells inflammatory arthritis synovium


SGO1
151648
STMN1+ proliferating cells inflammatory arthritis synovium


SGO2
151246
STMN1+ proliferating cells inflammatory arthritis synovium


SHCBP1
79801
STMN1+ proliferating cells inflammatory arthritis synovium


SHMT2
6472
STMN1+ proliferating cells inflammatory arthritis synovium


SIVA1
10572
STMN1+ proliferating cells inflammatory arthritis synovium


SKA1
220134
STMN1+ proliferating cells inflammatory arthritis synovium


SLBP
7884
STMN1+ proliferating cells inflammatory arthritis synovium


SLC1A5
6510
STMN1+ proliferating cells inflammatory arthritis synovium


SLC25A10
1468
STMN1+ proliferating cells inflammatory arthritis synovium


SLC25A4
291
STMN1+ proliferating cells inflammatory arthritis synovium


SLC25A5
292
STMN1+ proliferating cells inflammatory arthritis synovium


SLC29A1
2030
STMN1+ proliferating cells inflammatory arthritis synovium


SLC4A7
9497
STMN1+ proliferating cells inflammatory arthritis synovium


SLFN13
146857
STMN1+ proliferating cells inflammatory arthritis synovium


SLIRP
81892
STMN1+ proliferating cells inflammatory arthritis synovium


SMARCA5
8467
STMN1+ proliferating cells inflammatory arthritis synovium


SMC1A
8243
STMN1+ proliferating cells inflammatory arthritis synovium


SMC2
10592
STMN1+ proliferating cells inflammatory arthritis synovium


SMC3
9126
STMN1+ proliferating cells inflammatory arthritis synovium


SMC4
10051
STMN1+ proliferating cells inflammatory arthritis synovium


SMC6
79677
STMN1+ proliferating cells inflammatory arthritis synovium


SMCHD1
23347
STMN1+ proliferating cells inflammatory arthritis synovium


SMS
6611
STMN1+ proliferating cells inflammatory arthritis synovium


SMYD2
56950
STMN1+ proliferating cells inflammatory arthritis synovium


SNHG6
641638
STMN1+ proliferating cells inflammatory arthritis synovium


SNRNP25
79622
STMN1+ proliferating cells inflammatory arthritis synovium


SNRNP27
11017
STMN1+ proliferating cells inflammatory arthritis synovium


SNRNP70
6625
STMN1+ proliferating cells inflammatory arthritis synovium


SNRPA1
6627
STMN1+ proliferating cells inflammatory arthritis synovium


SNRPB
6628
STMN1+ proliferating cells inflammatory arthritis synovium


SNRPC
6631
STMN1+ proliferating cells inflammatory arthritis synovium


SNRPD1
6632
STMN1+ proliferating cells inflammatory arthritis synovium


SNRPD2
6633
STMN1+ proliferating cells inflammatory arthritis synovium


SNRPD3
6634
STMN1+ proliferating cells inflammatory arthritis synovium


SNRPE
6635
STMN1+ proliferating cells inflammatory arthritis synovium


SNRPF
6636
STMN1+ proliferating cells inflammatory arthritis synovium


SNRPG
6637
STMN1+ proliferating cells inflammatory arthritis synovium


SNU13
4809
STMN1+ proliferating cells inflammatory arthritis synovium


SOD1
6647
STMN1+ proliferating cells inflammatory arthritis synovium


SPC24
147841
STMN1+ proliferating cells inflammatory arthritis synovium


SPC25
57405
STMN1+ proliferating cells inflammatory arthritis synovium


SPCS3
60559
STMN1+ proliferating cells inflammatory arthritis synovium


SPN
6693
STMN1+ proliferating cells inflammatory arthritis synovium


SRM
6723
STMN1+ proliferating cells inflammatory arthritis synovium


SRRM1
10250
STMN1+ proliferating cells inflammatory arthritis synovium


SRSF1
6426
STMN1+ proliferating cells inflammatory arthritis synovium


SRSF10
10772
STMN1+ proliferating cells inflammatory arthritis synovium


SRSF2
6427
STMN1+ proliferating cells inflammatory arthritis synovium


SRSF3
6428
STMN1+ proliferating cells inflammatory arthritis synovium


SRSF7
6432
STMN1+ proliferating cells inflammatory arthritis synovium


SSB
6741
STMN1+ proliferating cells inflammatory arthritis synovium


SSNA1
8636
STMN1+ proliferating cells inflammatory arthritis synovium


SSRP1
6749
STMN1+ proliferating cells inflammatory arthritis synovium


STIP1
10963
STMN1+ proliferating cells inflammatory arthritis synovium


STMN1
3925
STMN1+ proliferating cells inflammatory arthritis synovium


STUB1
10273
STMN1+ proliferating cells inflammatory arthritis synovium


SUPT16H
11198
STMN1+ proliferating cells inflammatory arthritis synovium


SUZ12
23512
STMN1+ proliferating cells inflammatory arthritis synovium


SYCE2
256126
STMN1+ proliferating cells inflammatory arthritis synovium


SYNCRIP
10492
STMN1+ proliferating cells inflammatory arthritis synovium


TACC3
10460
STMN1+ proliferating cells inflammatory arthritis synovium


TAGLN2
8407
STMN1+ proliferating cells inflammatory arthritis synovium


TARDBP
23435
STMN1+ proliferating cells inflammatory arthritis synovium


TCEAL9
51186
STMN1+ proliferating cells inflammatory arthritis synovium


TCF3
6929
STMN1+ proliferating cells inflammatory arthritis synovium


TCP1
6950
STMN1+ proliferating cells inflammatory arthritis synovium


TEX30
93081
STMN1+ proliferating cells inflammatory arthritis synovium


TFDP1
7027
STMN1+ proliferating cells inflammatory arthritis synovium


TFRC
7037
STMN1+ proliferating cells inflammatory arthritis synovium


THOC7
80145
STMN1+ proliferating cells inflammatory arthritis synovium


TIAL1
7073
STMN1+ proliferating cells inflammatory arthritis synovium


TIMM13
26517
STMN1+ proliferating cells inflammatory arthritis synovium


TIMM50
92609
STMN1+ proliferating cells inflammatory arthritis synovium


TIMM8A
1678
STMN1+ proliferating cells inflammatory arthritis synovium


TIPIN
54962
STMN1+ proliferating cells inflammatory arthritis synovium


TK1
7083
STMN1+ proliferating cells inflammatory arthritis synovium


TMEM107
84314
STMN1+ proliferating cells inflammatory arthritis synovium


TMEM97
27346
STMN1+ proliferating cells inflammatory arthritis synovium


TMPO
7112
STMN1+ proliferating cells inflammatory arthritis synovium


TOMM20
9804
STMN1+ proliferating cells inflammatory arthritis synovium


TOMM5
401505
STMN1+ proliferating cells inflammatory arthritis synovium


TOMM7
54543
STMN1+ proliferating cells inflammatory arthritis synovium


TOMM70A
9868
STMN1+ proliferating cells inflammatory arthritis synovium


TOP2A
7153
STMN1+ proliferating cells inflammatory arthritis synovium


TOPBP1
11073
STMN1+ proliferating cells inflammatory arthritis synovium


TPM4
7171
STMN1+ proliferating cells inflammatory arthritis synovium


TPX2
22974
STMN1+ proliferating cells inflammatory arthritis synovium


TRIM28
10155
STMN1+ proliferating cells inflammatory arthritis synovium


TRIM59
286827
STMN1+ proliferating cells inflammatory arthritis synovium


TRIP13
9319
STMN1+ proliferating cells inflammatory arthritis synovium


TSC22D1
8848
STMN1+ proliferating cells inflammatory arthritis synovium


TSFM
10102
STMN1+ proliferating cells inflammatory arthritis synovium


TSSC4
10078
STMN1+ proliferating cells inflammatory arthritis synovium


TUBA1B
10376
STMN1+ proliferating cells inflammatory arthritis synovium


TUBA1C
84790
STMN1+ proliferating cells inflammatory arthritis synovium


TUBB
203068
STMN1+ proliferating cells inflammatory arthritis synovium


TUBB2A
7280
STMN1+ proliferating cells inflammatory arthritis synovium


TUBB4B
10383
STMN1+ proliferating cells inflammatory arthritis synovium


TUBB6
84617
STMN1+ proliferating cells inflammatory arthritis synovium


TUBG1
7283
STMN1+ proliferating cells inflammatory arthritis synovium


TXN
7295
STMN1+ proliferating cells inflammatory arthritis synovium


TXNL1
9352
STMN1+ proliferating cells inflammatory arthritis synovium


TXNRD1
7296
STMN1+ proliferating cells inflammatory arthritis synovium


TYMS
7298
STMN1+ proliferating cells inflammatory arthritis synovium


U2AF1
7307
STMN1+ proliferating cells inflammatory arthritis synovium


UBA2
10054
STMN1+ proliferating cells inflammatory arthritis synovium


UBALD2
283991
STMN1+ proliferating cells inflammatory arthritis synovium


UBE2C
11065
STMN1+ proliferating cells inflammatory arthritis synovium


UBE2S
27338
STMN1+ proliferating cells inflammatory arthritis synovium


UBE2T
29089
STMN1+ proliferating cells inflammatory arthritis synovium


UCHL5
51377
STMN1+ proliferating cells inflammatory arthritis synovium


UHRF1
29128
STMN1+ proliferating cells inflammatory arthritis synovium


UQCC2
84300
STMN1+ proliferating cells inflammatory arthritis synovium


UQCR10
29796
STMN1+ proliferating cells inflammatory arthritis synovium


UQCR11
10975
STMN1+ proliferating cells inflammatory arthritis synovium


UQCRFS1
7386
STMN1+ proliferating cells inflammatory arthritis synovium


UQCRQ
27089
STMN1+ proliferating cells inflammatory arthritis synovium


USMG5
84833
STMN1+ proliferating cells inflammatory arthritis synovium


USP1
7398
STMN1+ proliferating cells inflammatory arthritis synovium


VARS
7407
STMN1+ proliferating cells inflammatory arthritis synovium


VCP
7415
STMN1+ proliferating cells inflammatory arthritis synovium


VDAC1
7416
STMN1+ proliferating cells inflammatory arthritis synovium


VDAC2
7417
STMN1+ proliferating cells inflammatory arthritis synovium


VIM
7431
STMN1+ proliferating cells inflammatory arthritis synovium


VMA21
203547
STMN1+ proliferating cells inflammatory arthritis synovium


VRK1
7443
STMN1+ proliferating cells inflammatory arthritis synovium


WAPL
23063
STMN1+ proliferating cells inflammatory arthritis synovium


WDR43
23160
STMN1+ proliferating cells inflammatory arthritis synovium


WDR89
112840
STMN1+ proliferating cells inflammatory arthritis synovium


XPO1
7514
STMN1+ proliferating cells inflammatory arthritis synovium


YBX1
4904
STMN1+ proliferating cells inflammatory arthritis synovium


YBX3
8531
STMN1+ proliferating cells inflammatory arthritis synovium


YWHAH
7533
STMN1+ proliferating cells inflammatory arthritis synovium


ZC3H15
55854
STMN1+ proliferating cells inflammatory arthritis synovium


ADAM28
10863
HBEGF+ proinflammatory macrophages


ADAMDEC1
27299
HBEGF+ proinflammatory macrophages


ANKRD37
353322
HBEGF+ proinflammatory macrophages


ARL4A
10124
HBEGF+ proinflammatory macrophages


ARL5B
221079
HBEGF+ proinflammatory macrophages


ATF3
467
HBEGF+ proinflammatory macrophages


B4GALT1
2683
HBEGF+ proinflammatory macrophages


BIRC3
330
HBEGF+ proinflammatory macrophages


CCNH
902
HBEGF+ proinflammatory macrophages


CHML
1122
HBEGF+ proinflammatory macrophages


CHMP1B
57132
HBEGF+ proinflammatory macrophages


CREM
1390
HBEGF+ proinflammatory macrophages


CSRNP1
64651
HBEGF+ proinflammatory macrophages


CXCL2
2920
HBEGF+ proinflammatory macrophages


CXCL3
2921
HBEGF+ proinflammatory macrophages


CXCL8
3576
HBEGF+ proinflammatory macrophages


CYB5D1
124637
HBEGF+ proinflammatory macrophages


DDX3Y
8653
HBEGF+ proinflammatory macrophages


DNAJA4
55466
HBEGF+ proinflammatory macrophages


DNAJB1
3337
HBEGF+ proinflammatory macrophages


DNAJB6
10049
HBEGF+ proinflammatory macrophages


DUSP2
1844
HBEGF+ proinflammatory macrophages


EGR1
1958
HBEGF+ proinflammatory macrophages


EGR3
1960
HBEGF+ proinflammatory macrophages


EREG
2069
HBEGF+ proinflammatory macrophages


ERN1
2081
HBEGF+ proinflammatory macrophages


FCER1A
2205
HBEGF+ proinflammatory macrophages


FOSB
2354
HBEGF+ proinflammatory macrophages


FOSL2
2355
HBEGF+ proinflammatory macrophages


GLA
2717
HBEGF+ proinflammatory macrophages


GPR183
1880
HBEGF+ proinflammatory macrophages


GRASP
160622
HBEGF+ proinflammatory macrophages


HBEGF
1839
HBEGF+ proinflammatory macrophages


HNRNPU-AS1
284702
HBEGF+ proinflammatory macrophages


HSP90AA1
3320
HBEGF+ proinflammatory macrophages


HSPA1A
3303
HBEGF+ proinflammatory macrophages


HSPA1B
3304
HBEGF+ proinflammatory macrophages


HSPD1
3329
HBEGF+ proinflammatory macrophages


HSPH1
10808
HBEGF+ proinflammatory macrophages


IER2
9592
HBEGF+ proinflammatory macrophages


IER3
8870
HBEGF+ proinflammatory macrophages


IL1B
3553
HBEGF+ proinflammatory macrophages


INSIG1
3638
HBEGF+ proinflammatory macrophages


JMY
133746
HBEGF+ proinflammatory macrophages


JUNB
3726
HBEGF+ proinflammatory macrophages


KDM6B
23135
HBEGF+ proinflammatory macrophages


LDLR
3949
HBEGF+ proinflammatory macrophages


MAFF
23764
HBEGF+ proinflammatory macrophages


MIR24-2
407013
HBEGF+ proinflammatory macrophages


MIR29B1
407024
HBEGF+ proinflammatory macrophages


MXD1
4084
HBEGF+ proinflammatory macrophages


NFIL3
4783
HBEGF+ proinflammatory macrophages


NFKBID
84807
HBEGF+ proinflammatory macrophages


NR4A1
3164
HBEGF+ proinflammatory macrophages


NR4A2
4929
HBEGF+ proinflammatory macrophages


NR4A3
8013
HBEGF+ proinflammatory macrophages


NRARP
441478
HBEGF+ proinflammatory macrophages


PFKFB3
5209
HBEGF+ proinflammatory macrophages


PHACTR1
221692
HBEGF+ proinflammatory macrophages


PLAUR
5329
HBEGF+ proinflammatory macrophages


PRMT9
90826
HBEGF+ proinflammatory macrophages


PTGER4
5734
HBEGF+ proinflammatory macrophages


PTGS2
5743
HBEGF+ proinflammatory macrophages


RASSF5
83593
HBEGF+ proinflammatory macrophages


RGS2
5997
HBEGF+ proinflammatory macrophages


RHOB
388
HBEGF+ proinflammatory macrophages


RN7SL368P
1.06E+08
HBEGF+ proinflammatory macrophages


SATB1
6304
HBEGF+ proinflammatory macrophages


SELK
58515
HBEGF+ proinflammatory macrophages


SEMA4A
64218
HBEGF+ proinflammatory macrophages


SIK1
150094
HBEGF+ proinflammatory macrophages


SLC25A44
9673
HBEGF+ proinflammatory macrophages


SOCS3
9021
HBEGF+ proinflammatory macrophages


SYAP1
94056
HBEGF+ proinflammatory macrophages


THBS1
7057
HBEGF+ proinflammatory macrophages


TNFAIP3
7128
HBEGF+ proinflammatory macrophages


TSPYL2
64061
HBEGF+ proinflammatory macrophages


USP36
57602
HBEGF+ proinflammatory macrophages


VEGFA
7422
HBEGF+ proinflammatory macrophages


ZFP36
7538
HBEGF+ proinflammatory macrophages


ZNF331
55422
HBEGF+ proinflammatory macrophages


ALDOA
226
IFN-activated macrophages


APOBEC3A
200315
IFN-activated macrophages


AQP9
366
IFN-activated macrophages


C15orf48
84419
IFN-activated macrophages


CD300E
342510
IFN-activated macrophages


CD36
948
IFN-activated macrophages


CD52
1043
IFN-activated macrophages


CSTB
1476
IFN-activated macrophages


ENO1
2023
IFN-activated macrophages


ENO2
2026
IFN-activated macrophages


FAM65B
9750
IFN-activated macrophages


FCN1
2219
IFN-activated macrophages


FN1
2335
IFN-activated macrophages


GAPDH
2597
IFN-activated macrophages


IFI44L
10964
IFN-activated macrophages


IFI6
2537
IFN-activated macrophages


IGHM
3507
IFN-activated macrophages


ISG15
9636
IFN-activated macrophages


ITGB7
3695
IFN-activated macrophages


LPL
4023
IFN-activated macrophages


LY6E
4061
IFN-activated macrophages


MT1E
4493
IFN-activated macrophages


MT1F
4494
IFN-activated macrophages


MT1G
4495
IFN-activated macrophages


MT1X
4501
IFN-activated macrophages


MT2A
4502
IFN-activated macrophages


OPTN
10133
IFN-activated macrophages


S100A8
6279
IFN-activated macrophages


SLAMF7
57823
IFN-activated macrophages


SPP1
6696
IFN-activated macrophages


TGM2
7052
IFN-activated macrophages


TIMP1
7076
IFN-activated macrophages


VCAN
1462
IFN-activated macrophages


WARS
7453
IFN-activated macrophages


ABCB10
23456
Phagocytic macrophages


ABCC3
8714
Phagocytic macrophages


ACAD9
28976
Phagocytic macrophages


ACSM5
54988
Phagocytic macrophages


ACTL6A
86
Phagocytic macrophages


ADAM12
8038
Phagocytic macrophages


ADORA3
140
Phagocytic macrophages


ADRB2
154
Phagocytic macrophages


AHNAK2
113146
Phagocytic macrophages


AIFM2
84883
Phagocytic macrophages


ALS2
57679
Phagocytic macrophages


ANKH
56172
Phagocytic macrophages


AP3M1
26985
Phagocytic macrophages


ARMC9
80210
Phagocytic macrophages


ARSB
411
Phagocytic macrophages


ASAP2
8853
Phagocytic macrophages


ASB1
51665
Phagocytic macrophages


B3GNT7
93010
Phagocytic macrophages


BLOC1S5
63915
Phagocytic macrophages


BRIX1
55299
Phagocytic macrophages


BTD
686
Phagocytic macrophages


C11orf68
83638
Phagocytic macrophages


CALU
813
Phagocytic macrophages


CCT5
22948
Phagocytic macrophages


CD109
135228
Phagocytic macrophages


CD276
80381
Phagocytic macrophages


CD28
940
Phagocytic macrophages


CD3EAP
10849
Phagocytic macrophages


CD9
928
Phagocytic macrophages


CDR2
1039
Phagocytic macrophages


CHST13
166012
Phagocytic macrophages


CRIP2
1397
Phagocytic macrophages


CRYBB1
1414
Phagocytic macrophages


CSPG4
1464
Phagocytic macrophages


CSTF2T
23283
Phagocytic macrophages


CTSK
1513
Phagocytic macrophages


CXADR
1525
Phagocytic macrophages


DAAM1
23002
Phagocytic macrophages


DCBLD2
131566
Phagocytic macrophages


DIP2C
22982
Phagocytic macrophages


DLEU7
220107
Phagocytic macrophages


DNM1
1759
Phagocytic macrophages


EFNB1
1947
Phagocytic macrophages


EMC1
23065
Phagocytic macrophages


EMP1
2012
Phagocytic macrophages


EPN2
22905
Phagocytic macrophages


ERMARD
55780
Phagocytic macrophages


EXOG
9941
Phagocytic macrophages


EXOSC8
11340
Phagocytic macrophages


EXTL2
2135
Phagocytic macrophages


EYA2
2139
Phagocytic macrophages


FAIM
55179
Phagocytic macrophages


FAM134B
54463
Phagocytic macrophages


FASTKD5
60493
Phagocytic macrophages


FBLN5
10516
Phagocytic macrophages


FBXO32
114907
Phagocytic macrophages


FERMT2
10979
Phagocytic macrophages


FGD5
152273
Phagocytic macrophages


FUCA1
2517
Phagocytic macrophages


FYCO1
79443
Phagocytic macrophages


GABRB2
2561
Phagocytic macrophages


GATB
5188
Phagocytic macrophages


GCHFR
2644
Phagocytic macrophages


GLDN
342035
Phagocytic macrophages


GNG12
55970
Phagocytic macrophages


GNPNAT1
64841
Phagocytic macrophages


GOT1
2805
Phagocytic macrophages


GPNMB
10457
Phagocytic macrophages


GPR34
2857
Phagocytic macrophages


GSDMA
284110
Phagocytic macrophages


GSTT1
2952
Phagocytic macrophages


HDHD1
8226
Phagocytic macrophages


HOXB6
3216
Phagocytic macrophages


HPGDS
27306
Phagocytic macrophages


HTRA1
5654
Phagocytic macrophages


IGSF21
84966
Phagocytic macrophages


ITGA6
3655
Phagocytic macrophages


ITGAE
3682
Phagocytic macrophages


ITGB5
3693
Phagocytic macrophages


KAL1
3730
Phagocytic macrophages


KANK1
23189
Phagocytic macrophages


KANK2
25959
Phagocytic macrophages


KCNQ3
3786
Phagocytic macrophages


KCTD10
83892
Phagocytic macrophages


KLF9
687
Phagocytic macrophages


L1TD1
54596
Phagocytic macrophages


LAMC1
3915
Phagocytic macrophages


LGI2
55203
Phagocytic macrophages


LGMN
5641
Phagocytic macrophages


LILRB5
10990
Phagocytic macrophages


LRRC8A
56262
Phagocytic macrophages


LZTR1
8216
Phagocytic macrophages


MCOLN3
55283
Phagocytic macrophages


MERTK
10461
Phagocytic macrophages


MLF1
4291
Phagocytic macrophages


MMD
23531
Phagocytic macrophages


MMP2
4313
Phagocytic macrophages


MRPS14
63931
Phagocytic macrophages


MRS2
57380
Phagocytic macrophages


MSMO1
6307
Phagocytic macrophages


MTUS1
57509
Phagocytic macrophages


NAA30
122830
Phagocytic macrophages


NAT9
26151
Phagocytic macrophages


NFU1
27247
Phagocytic macrophages


NRBP2
340371
Phagocytic macrophages


NUDCD2
134492
Phagocytic macrophages


OAT
4942
Phagocytic macrophages


OLFML3
56944
Phagocytic macrophages


PAQR5
54852
Phagocytic macrophages


PAX8
7849
Phagocytic macrophages


PDCD11
22984
Phagocytic macrophages


PDE1B
5153
Phagocytic macrophages


PDK4
5166
Phagocytic macrophages


PDPN
10630
Phagocytic macrophages


PGM2
55276
Phagocytic macrophages


PGM5
5239
Phagocytic macrophages


PIK3CG
5294
Phagocytic macrophages


PLEK2
26499
Phagocytic macrophages


PMP22
5376
Phagocytic macrophages


POLM
27434
Phagocytic macrophages


PPIP5K1
9677
Phagocytic macrophages


PPM1N
147699
Phagocytic macrophages


PRKCDBP
112464
Phagocytic macrophages


PROS1
5627
Phagocytic macrophages


PTGFRN
5738
Phagocytic macrophages


PTPRM
5797
Phagocytic macrophages


PTPRN2
5799
Phagocytic macrophages


PYCARD-AS1
1.01E+08
Phagocytic macrophages


RAB11FIP5
26056
Phagocytic macrophages


RAE1
8480
Phagocytic macrophages


RBP4
5950
Phagocytic macrophages


RGL3
57139
Phagocytic macrophages


RIOK1
83732
Phagocytic macrophages


RMDN3
55177
Phagocytic macrophages


RND3
390
Phagocytic macrophages


RPS6KA2
6196
Phagocytic macrophages


RRAGA
10670
Phagocytic macrophages


S1PR1
1901
Phagocytic macrophages


SEMA4B
10509
Phagocytic macrophages


SEPTIN10
151011
Phagocytic macrophages


SLC16A6
9120
Phagocytic macrophages


SLC1A3
6507
Phagocytic macrophages


SLC25A43
203427
Phagocytic macrophages


SLC26A11
284129
Phagocytic macrophages


SLC29A1
2030
Phagocytic macrophages


SLC43A3
29015
Phagocytic macrophages


SLC6A12
6539
Phagocytic macrophages


SNCA
6622
Phagocytic macrophages


ST5
6764
Phagocytic macrophages


STEAP3
55240
Phagocytic macrophages


SYT1
6857
Phagocytic macrophages


TBC1D2
55357
Phagocytic macrophages


TBCE
6905
Phagocytic macrophages


TDP2
51567
Phagocytic macrophages


TDRD10
126668
Phagocytic macrophages


TGFBR1
7046
Phagocytic macrophages


THRB
7068
Phagocytic macrophages


TIMM10
26519
Phagocytic macrophages


TMEM106C
79022
Phagocytic macrophages


TMEM119
338773
Phagocytic macrophages


TMEM255B
348013
Phagocytic macrophages


TNFAIP8L3
388121
Phagocytic macrophages


TNFRSF10D
8793
Phagocytic macrophages


TNFRSF11A
8792
Phagocytic macrophages


TNS1
7145
Phagocytic macrophages


TPPP3
51673
Phagocytic macrophages


TREML1
340205
Phagocytic macrophages


TRIM21
6737
Phagocytic macrophages


TRIM47
91107
Phagocytic macrophages


TRIM58
25893
Phagocytic macrophages


TUBB2A
7280
Phagocytic macrophages


TUBB6
84617
Phagocytic macrophages


TUBG1
7283
Phagocytic macrophages


TXNRD2
10587
Phagocytic macrophages


UEVLD
55293
Phagocytic macrophages


UNC5B
219699
Phagocytic macrophages


VANGL1
81839
Phagocytic macrophages


VPS33A
65082
Phagocytic macrophages


WDR12
55759
Phagocytic macrophages


WDR77
79084
Phagocytic macrophages


ZBED3-AS1
728723
Phagocytic macrophages


ZBTB7C
201501
Phagocytic macrophages


ZNF83
55769
Phagocytic macrophages


AK3
50808
M1


APOL1
8542
M1


APOL2
23780
M1


APOL3
80833
M1


APOL6
80830
M1


ATF3
467
M1


BCL2A1
597
M1


BIRC3
330
M1


CCL15
6359
M1


CCL19
6363
M1


CCL20
6364
M1


CCL5
6352
M1


CCR7
1236
M1


CHI3L2
1117
M1


CXCL10
3627
M1


CXCL11
6373
M1


CXCL9
4283
M1


EDN1
1906
M1


FAS
355
M1


GADD45G
10912
M1


HESX1
8820
M1


HSD11B1
3290
M1


IDO1
3620
M1


IGFBP4
3487
M1


IL12B
3593
M1


IL15
3600
M1


IL15RA
3601
M1


IL2RA
3559
M1


IL6
3569
M1


IL7R
3575
M1


INHBA
3624
M1


IRF1
3659
M1


IRF7
3665
M1


NAMPT
10135
M1


OAS2
4939
M1


OASL
8638
M1


PDGFA
5154
M1


PFKFB3
5209
M1


PFKP
5214
M1


PLA1A
51365
M1


PSMA2
5683
M1


PSMB9
5698
M1


PSME2
5721
M1


PTX3
5806
M1


SCO2
9997
M1


SLC2A6
11182
M1


SLC31A2
1318
M1


SLC7A5
8140
M1


SLCO5A1
81796
M1


SPHK1
8877
M1


TNF
7124
M1


TNFSF10
8743
M1


VCAN
1462
M1


XAF1
54739
M1


ADK
132
M2


ALOX15
246
M2


CA2
760
M2


CCL13
6357
M2


CCL18
6362
M2


CCL23
6368
M2


CD209
30835
M2


CD36
948
M2


CERK
64781
M2


CHN2
1124
M2


CLEC4F
165530
M2


CLEC7A
64581
M2


CTSC
1075
M2


CXCR4
7852
M2


DLC1
10395
M2


EGR2
1959
M2


FGL2
10875
M2


FN1
2335
M2


GAS7
8522
M2


HEXB
3074
M2


HNMT
3176
M2


HRH1
3269
M2


HS3ST1
9957
M2


HS3ST2
9956
M2


IGF1
3479
M2


LIPA
3988
M2


LPAR6
10161
M2


LTA4H
4048
M2


MAF
4094
M2


MRC1
4360
M2


MS4A4A
51338
M2


MS4A6A
64231
M2


MSR1
4481
M2


P2RY13
53829
M2


P2RY14
9934
M2


SELENOP
6414
M2


SLC38A6
145389
M2


SLC4A7
9497
M2


SLCO2B1
11309
M2


TGFBI
7045
M2


TGFBR2
7048
M2


TLR5
7100
M2


TPST2
8459
M2


ARAP2
116984
Martinez S4


ARID5B
84159
Martinez S4


ARNTL2
56938
Martinez S4


BATF3
55509
Martinez S4


CCL14
6358
Martinez S4


CCL8
6355
Martinez S4


CD274
29126
Martinez S4


CD38
952
Martinez S4


CFB
629
Martinez S4


CKB
1152
Martinez S4


CXCL13
10563
Martinez S4


EBI3
10148
Martinez S4


FBX06
26270
Martinez S4


GADD45A
1647
Martinez S4


GADD45B
4616
Martinez S4


GLS
2744
Martinez S4


GOLM1
51280
Martinez S4


GTDC1
79712
Martinez S4


IFI27
3429
Martinez S4


IFITM1
8519
Martinez S4


IL21R
50615
Martinez S4


IL32
9235
Martinez S4


JAK3
3718
Martinez S4


KCNJ2
3759
Martinez S4


LHFPL6
10186
Martinez S4


LY75
4065
Martinez S4


MMP12
4321
Martinez S4


MMP25
64386
Martinez S4


MT1M
4499
Martinez S4


N4BP1
9683
Martinez S4


NBN
4683
Martinez S4


PDCD1LG2
80380
Martinez S4


PXYLP1
92370
Martinez S4


RASGRP1
10125
Martinez S4


SERPINB9
5272
Martinez S4


SERPING1
710
Martinez S4


SLAMF1
6504
Martinez S4


SOCS1
8651
Martinez S4


ST7
7982
Martinez S4


TIFA
92610
Martinez S4


TSPAN33
340348
Martinez S4


VCAM1
7412
Martinez S4


ADAMTS14
140766
Martinez S5


CISH
1154
Martinez S5


GGT5
2687
Martinez S5


MAG11
9223
Martinez S5


MAOA
4128
Martinez S5


STAMBPL1
57559
Martinez S5


SULF2
55959
Martinez S5


TTC9C
283237
Martinez S5


CCL11
6356
RnD M1


CCL15
6359
RnD M1


CCL19
6363
RnD M1


CCL2
6347
RnD M1


CCL20
6364
RnD M1


CCL3
6348
RnD M1


CCL4
6351
RnD M1


CCL5
6352
RnD M1


CCL8
6355
RnD M1


CD163
9332
RnD M1


CD36
948
RnD M1


CD68
968
RnD M1


CD80
941
RnD M1


CD86
942
RnD M1


COX2
4513
RnD M1


CX3CL1
6376
RnD M1


CXCL1
2919
RnD M1


CXCL10
3627
RnD M1


CXCL11
6373
RnD M1


CXCL13
10563
RnD M1


CXCL16
58191
RnD M1


CXCL2
2920
RnD M1


CXCL3
2921
RnD M1


CXCL5
6374
RnD M1


CXCL9
4283
RnD M1


FCGR2A
2212
RnD M1


FCGR3A
2214
RnD M1


HLA-DRA
3122
RnD M1


HLA-DRB1
3123
RnD M1


IFNG
3458
RnD M1


IFNGR1
3459
RnD M1


IL12A
3592
RnD M1


IL12B
3593
RnD M1


IL15
3600
RnD M1


IL17A
3605
RnD M1


IL18
3606
RnD M1


IL1B
3553
RnD M1


IL23A
51561
RnD M1


IL6
3569
RnD M1


IL8
3576
RnD M1


IRF5
3663
RnD M1


NOS2
4843
RnD M1


STAT1
6772
RnD M1


TNF
7124
RnD M1


ARG1
383
RnD M2a


CCL1
6346
RnD M2a


CCL14
6358
RnD M2a


CCL17
6361
RnD M2a


CCL18
6362
RnD M2a


CCL2
6347
RnD M2a


CCL22
6367
RnD M2a


CCL23
6368
RnD M2a


CCL24
6369
RnD M2a


CCL26
10344
RnD M2a


CD163
9332
RnD M2a


CD200R1
131450
RnD M2a


CD200R1L
344807
RnD M2a


CD209
30835
RnD M2a


CHI3L1
1116
RnD M2a


CLEC10A
10462
RnD M2a


CLEC7A
64581
RnD M2a


CXCR1
3577
RnD M2a


CXCR2
3579
RnD M2a


FCER1A
2205
RnD M2a


HLA-DRA
3122
RnD M2a


HLA-DRB1
3123
RnD M2a


IL10
3586
RnD M2a


IL12A
3592
RnD M2a


IL12B
3593
RnD M2a


IL1R2
7850
RnD M2a


IL1RN
3557
RnD M2a


IRF4
3662
RnD M2a


MRC1
4360
RnD M2a


PPARG
5468
RnD M2a


RETNLB
84666
RnD M2a


STAT6
6778
RnD M2a


TGFB1
7040
RnD M2a


CD86
942
RnD M2b


CCL1
6346
RnD M2b


CCL20
6364
RnD M2b


COX2
4513
RnD M2b


CXCL1
2919
RnD M2b


CXCL2
2920
RnD M2b


CXCL3
2921
RnD M2b


CSF3
1440
RnD M2b


CSF2
1437
RnD M2b


IL1B
3553
RnD M2b


IL4R
3566
RnD M2b


IL6
3569
RnD M2b


IL10
3586
RnD M2b


IRF4
3662
RnD M2b


HLA-DRA
3122
RnD M2b


HLA-DRB1
3123
RnD M2b


SOCS3
9021
RnD M2b


SPHK1
8877
RnD M2b


SPHK2
56848
RnD M2b


TNF
7124
RnD M2b


ARG1
383
RnD M2c


CCL16
6360
RnD M2c


CCL18
6362
RnD M2c


CCR2
729230
RnD M2c


CD163
9332
RnD M2c


CXCL13
10563
RnD M2c


IL10
3586
RnD M2c


IL4R
3566
RnD M2c


INHBA
3624
RnD M2c


IRF4
3662
RnD M2c


MRC1
4360
RnD M2c


MSR1
4481
RnD M2c


SCARB1
949
RnD M2c


SLAMF1
6504
RnD M2c


SOCS3
9021
RnD M2c


TGFB1
7040
RnD M2c


TLR1
7096
RnD M2c


TLR8
51311
RnD M2c


CCL5
6352
RnD M2d


CXCL10
3627
RnD M2d


CXCL16
58191
RnD M2d


IL10
3586
RnD M2d


IL12A
3592
RnD M2d


IL12B
3593
RnD M2d


NOS2
4843
RnD M2d


TNF
7124
RnD M2d


VEGF
7422
RnD M2d


APOE
348
Reyman alveolar macrophage top 12


CCL2
6347
Reyman alveolar macrophage top 12


CD36
948
Reyman alveolar macrophage top 12


CHI3L1
1116
Reyman alveolar macrophage top 12


FN1
2335
Reyman alveolar macrophage top 12


IL1RN
3557
Reyman alveolar macrophage top 12


MARCKS
4082
Reyman alveolar macrophage top 12


PLA2G7
7941
Reyman alveolar macrophage top 12


S100A8
6279
Reyman alveolar macrophage top 12


SPP1
6696
Reyman alveolar macrophage top 12


TIMP1
7076
Reyman alveolar macrophage top 12


TREM2
54209
Reyman alveolar macrophage top 12


A2M
2
Reyman alveolar macrophage complete UP


ABCA1
19
Reyman alveolar macrophage complete UP


ABHD2
11057
Reyman alveolar macrophage complete UP


ACP2
53
Reyman alveolar macrophage complete UP


ACTB
60
Reyman alveolar macrophage complete UP


ACTG1
71
Reyman alveolar macrophage complete UP


ADGRE5
976
Reyman alveolar macrophage complete UP


ANXA2
302
Reyman alveolar macrophage complete UP


APOC1
341
Reyman alveolar macrophage complete UP


APOE
348
Reyman alveolar macrophage complete UP


ARHGDIB
397
Reyman alveolar macrophage complete UP


ARID5B
84159
Reyman alveolar macrophage complete UP


ARPC1B
10095
Reyman alveolar macrophage complete UP


ATOX1
475
Reyman alveolar macrophage complete UP


ATP13A3
79572
Reyman alveolar macrophage complete UP


ATP6V1B2
526
Reyman alveolar macrophage complete UP


BASP1
10409
Reyman alveolar macrophage complete UP


BCAT1
586
Reyman alveolar macrophage complete UP


C15orf48
84419
Reyman alveolar macrophage complete UP


C6orf62
81688
Reyman alveolar macrophage complete UP


CALM3
808
Reyman alveolar macrophage complete UP


CALR
811
Reyman alveolar macrophage complete UP


CAP1
10487
Reyman alveolar macrophage complete UP


CCL18
6362
Reyman alveolar macrophage complete UP


CCL2
6347
Reyman alveolar macrophage complete UP


CCL4
6351
Reyman alveolar macrophage complete UP


CD14
929
Reyman alveolar macrophage complete UP


CD36
948
Reyman alveolar macrophage complete UP


CD4
920
Reyman alveolar macrophage complete UP


CD44
960
Reyman alveolar macrophage complete UP


CD48
962
Reyman alveolar macrophage complete UP


CD84
8832
Reyman alveolar macrophage complete UP


CD9
928
Reyman alveolar macrophage complete UP


CDC42
998
Reyman alveolar macrophage complete UP


CFL1
1072
Reyman alveolar macrophage complete UP


CHI3L1
1116
Reyman alveolar macrophage complete UP


CHIT1
1118
Reyman alveolar macrophage complete UP


CLTC
1213
Reyman alveolar macrophage complete UP


CMTM3
123920
Reyman alveolar macrophage complete UP


CMTM6
54918
Reyman alveolar macrophage complete UP


COTL1
23406
Reyman alveolar macrophage complete UP


CPM
1368
Reyman alveolar macrophage complete UP


CRIP1
1396
Reyman alveolar macrophage complete UP


CSF1R
1436
Reyman alveolar macrophage complete UP


CTSB
1508
Reyman alveolar macrophage complete UP


CTSL
1514
Reyman alveolar macrophage complete UP


CTSZ
1522
Reyman alveolar macrophage complete UP


CYBB
1536
Reyman alveolar macrophage complete UP


CYFIP1
23191
Reyman alveolar macrophage complete UP


DPYSL2
1808
Reyman alveolar macrophage complete UP


EMP1
2012
Reyman alveolar macrophage complete UP


EVL
51466
Reyman alveolar macrophage complete UP


FCGR2A
2212
Reyman alveolar macrophage complete UP


FCGR2B
2213
Reyman alveolar macrophage complete UP


FCGR3A
2214
Reyman alveolar macrophage complete UP


FGL2
10875
Reyman alveolar macrophage complete UP


FKBP1A
2280
Reyman alveolar macrophage complete UP


FLNA
2316
Reyman alveolar macrophage complete UP


FN1
2335
Reyman alveolar macrophage complete UP


FPR3
2359
Reyman alveolar macrophage complete UP


FUCA1
2517
Reyman alveolar macrophage complete UP


FXYD5
53827
Reyman alveolar macrophage complete UP


FYB
2533
Reyman alveolar macrophage complete UP


GBP1
2633
Reyman alveolar macrophage complete UP


GLIPR1
11010
Reyman alveolar macrophage complete UP


GM2A
2760
Reyman alveolar macrophage complete UP


GSN
2934
Reyman alveolar macrophage complete UP


HCK
3055
Reyman alveolar macrophage complete UP


HCST
10870
Reyman alveolar macrophage complete UP


HIF1A
3091
Reyman alveolar macrophage complete UP


HLA-A
3105
Reyman alveolar macrophage complete UP


HLA-DQA2
3118
Reyman alveolar macrophage complete UP


HMGN1
3150
Reyman alveolar macrophage complete UP


IGF2R
3482
Reyman alveolar macrophage complete UP


IGHG1
3500
Reyman alveolar macrophage complete UP


IGHG3
3502
Reyman alveolar macrophage complete UP


IGHG4
3503
Reyman alveolar macrophage complete UP


IGKC
3514
Reyman alveolar macrophage complete UP


IGLC2
3538
Reyman alveolar macrophage complete UP


IGSF6
10261
Reyman alveolar macrophage complete UP


IL1RN
3557
Reyman alveolar macrophage complete UP


IL7R
3575
Reyman alveolar macrophage complete UP


ITGAM
3684
Reyman alveolar macrophage complete UP


ITGAX
3687
Reyman alveolar macrophage complete UP


ITGB1
3688
Reyman alveolar macrophage complete UP


ITGB2
3689
Reyman alveolar macrophage complete UP


KIAA0930
23313
Reyman alveolar macrophage complete UP


LAP3
51056
Reyman alveolar macrophage complete UP


LASP1
3927
Reyman alveolar macrophage complete UP


LCP1
3936
Reyman alveolar macrophage complete UP


LDHA
3939
Reyman alveolar macrophage complete UP


LGMN
5641
Reyman alveolar macrophage complete UP


LHFPL2
10184
Reyman alveolar macrophage complete UP


LILRB4
11006
Reyman alveolar macrophage complete UP


LIPA
3988
Reyman alveolar macrophage complete UP


LITAF
9516
Reyman alveolar macrophage complete UP


LSP1
4046
Reyman alveolar macrophage complete UP


LST1
7940
Reyman alveolar macrophage complete UP


MAFB
9935
Reyman alveolar macrophage complete UP


MARCKS
4082
Reyman alveolar macrophage complete UP


MNDA
4332
Reyman alveolar macrophage complete UP


MS4A4A
51338
Reyman alveolar macrophage complete UP


MS4A6A
64231
Reyman alveolar macrophage complete UP


MT-ATP6
4508
Reyman alveolar macrophage complete UP


MT-ATP8
4509
Reyman alveolar macrophage complete UP


MT-CO3
4514
Reyman alveolar macrophage complete UP


MT-ND3
4537
Reyman alveolar macrophage complete UP


MT-ND6
4541
Reyman alveolar macrophage complete UP


NPC2
10577
Reyman alveolar macrophage complete UP


NR1H3
10062
Reyman alveolar macrophage complete UP


NRP2
8828
Reyman alveolar macrophage complete UP


OLR1
4973
Reyman alveolar macrophage complete UP


P4HB
5034
Reyman alveolar macrophage complete UP


PDIA4
9601
Reyman alveolar macrophage complete UP


PEA15
8682
Reyman alveolar macrophage complete UP


PGK1
5230
Reyman alveolar macrophage complete UP


PLA2G7
7941
Reyman alveolar macrophage complete UP


PLAC8
51316
Reyman alveolar macrophage complete UP


PLEK
5341
Reyman alveolar macrophage complete UP


PPT1
5538
Reyman alveolar macrophage complete UP


PSAP
5660
Reyman alveolar macrophage complete UP


QSOX1
5768
Reyman alveolar macrophage complete UP


RAB31
11031
Reyman alveolar macrophage complete UP


RALA
5898
Reyman alveolar macrophage complete UP


RGS1
5996
Reyman alveolar macrophage complete UP


RNASE1
6035
Reyman alveolar macrophage complete UP


S100A8
6279
Reyman alveolar macrophage complete UP


S100A9
6280
Reyman alveolar macrophage complete UP


SAMHD1
25939
Reyman alveolar macrophage complete UP


SCGB3A1
92304
Reyman alveolar macrophage complete UP


SDC2
6383
Reyman alveolar macrophage complete UP


SDS
10993
Reyman alveolar macrophage complete UP


SEPP1
6414
Reyman alveolar macrophage complete UP


SGK1
6446
Reyman alveolar macrophage complete UP


SH3BGRL3
83442
Reyman alveolar macrophage complete UP


SLA
6503
Reyman alveolar macrophage complete UP


SLC16A10
117247
Reyman alveolar macrophage complete UP


SLC1A3
6507
Reyman alveolar macrophage complete UP


SMIM3
85027
Reyman alveolar macrophage complete UP


SOD2
6648
Reyman alveolar macrophage complete UP


SPARC
6678
Reyman alveolar macrophage complete UP


SPP1
6696
Reyman alveolar macrophage complete UP


SRGN
5552
Reyman alveolar macrophage complete UP


SRSF2
6427
Reyman alveolar macrophage complete UP


STAT1
6772
Reyman alveolar macrophage complete UP


TGFBI
7045
Reyman alveolar macrophage complete UP


TGM2
7052
Reyman alveolar macrophage complete UP


TIMP1
7076
Reyman alveolar macrophage complete UP


TLN1
7094
Reyman alveolar macrophage complete UP


TMEM176B
28959
Reyman alveolar macrophage complete UP


TMSB10
9168
Reyman alveolar macrophage complete UP


TMSB4X
7114
Reyman alveolar macrophage complete UP


TNFSF13B
10673
Reyman alveolar macrophage complete UP


TPM3
7170
Reyman alveolar macrophage complete UP


TPM4
7171
Reyman alveolar macrophage complete UP


TPP1
1200
Reyman alveolar macrophage complete UP


TREM2
54209
Reyman alveolar macrophage complete UP


TTYH3
80727
Reyman alveolar macrophage complete UP


TUBA1B
10376
Reyman alveolar macrophage complete UP


TYMP
1890
Reyman alveolar macrophage complete UP


UCP2
7351
Reyman alveolar macrophage complete UP


VAMP5
10791
Reyman alveolar macrophage complete UP


VMP1
81671
Reyman alveolar macrophage complete UP


WARS
7453
Reyman alveolar macrophage complete UP


WASF2
10163
Reyman alveolar macrophage complete UP


ZFP36L1
677
Reyman alveolar macrophage complete UP



















Table of Liao et al Clusters











GeneSymbol
Cluster
ENTREZID















S100A9
G1
6280



S100A8
G1
6279



S100A12
G1
6283



VCAN
G1
1462



FCN1
G1
2219



CORO1A
G1
11151



SELL
G1
6402



CD14
G1
929



CFP
G1
5199



RNASE2
G1
6036



SERPINB1
G1
1992



FPR1
G1
2357



COTL1
G1
23406



MPEG1
G1
219972



LST1
G1
7940



STAB1
G1
23166



RNASE6
G1
6039



MS4A6A
G1
64231



IL1RN
G1 & G2
3557



CCL7
G1 & G2
6354



IFITM2
G1 & G2
10581



IFIT2
G1 & G2
3433



PLAC8
G1 & G2
51316



IFIT3
G1 & G2
3437



SERPINB9
G1 & G2
5272



NAMPT
G1 & G2
10135



LILRA5
G1 & G2
353514



IER2
G1 & G2
9592



IFITM3
G1 & G2
10410



MX1
G1 & G2
4599



NFKBIA
G1 & G2
4792



ANXA2R
G1 & G2
389289



RSAD2
G1 & G2
91543



IFIT1
G1 & G2
3434



DUSP6
G1 & G2
1848



ACTB
G1 & G2
60



SLC25A37
G2
51312



TNFSF10
G2
8743



CLU
G2
1191



CXCL10
G2
3627



APOBEC3A
G2
200315



CCL3L1
G2
6349



FFAR2
G2
2867



HSPA6
G2
3310



CCL2
G2
6347



HSPA1A
G2
3303



CCL8
G2
6355



DNAJB1
G2
3337



HSPA1B
G2
3304



CCL4
G2
6351



CCL3
G2
6348



CCL4L2
G2
9560



HSPB1
G2
3315



IDO1
G2
3620



ISG15
G2
9636



ISG20
G2
3669



TIMP1
G2
7076



NINJ1
G2
4814



VAMP5
G2
10791



CYP1B1
G2
1545



HSPH1
G2
10808



TYMP
G2
1890



CXCL11
G2
6373



WARS1
G2
7453



BAG3
G2
9531



GBP1
G2
2633



SOD2
G2
6648



HSP90AA1
G2
3320



BCL2A1
G2
597



GBP5
G2
115362



PLEK
G2
5341



NCF1
G2
653361



CALHM6
G2
441168



SLAMF7
G2
57823



SGK1
G2
6446



DEFB1
G2
1672



ANKRD22
G2
118932



GCH1
G2
2643



PLA2G7
G2
7941



CTSB
G2
1508



HAMP
G3
57817



LGMN
G3
5641



RGS1
G3
5996



SPP1
G3
6696



RNASE1
G3
6035



HMOX1
G3
3162



GPR183
G3
1880



ARL4C
G3
10123



C1QC
G3
714



SDS
G3
10993



TGFB1
G3
7040



A2M
G3
2



FPR3
G3
2359



CD84
G3
8832



NRP2
G3
8828



CREG1
G3
8804



SDC3
G3
9672



CTSL
G3
1514



MMP14
G3
4323



SMPDL3A
G3
10924



PMP22
G3
5376



PLD3
G3
23646



LIPA
G3
3988



MS4A4A
G3
51338



CSF1R
G3
1436



CD86
G3
942



GPNMB
G3
10457



CREM
G3
1390



APOE
G3
348



HSP90B1
G3
7184



C1QB
G3
713



CCL18
G3
6362



IL7R
G3
3575



CXCL8
G3
3576



IFITM1
G3
8519



FABP5
G4
2171



FABP4
G4
2167



NUPR1
G4
26471



APOC1
G4
341



GCHFR
G4
2644



INHBA
G4
3624



ALOX5AP
G4
241



ALDH2
G4
217



CD52
G4
1043



HLA-DQA1
G4
3117



HLA-DQB1
G4
3119



LPL
G4
4023



MCEMP1
G4
199675



MARCO
G4
8685



TFRC
G4
7037



HPGD
G4
3248



FBP1
G4
2203



RBP3
G4
5949



ACP5
G4
54



PEBP1
G4
5037



MSR1
G4
4481



MRC1
G4
4360



AKR1C3
G4
8644




















Table of PPI Putative Myeloid Population











geneSymbol
EntrezID
Category















PLD3
23646
PPI PBMC Myeloid Subcluster 1



NMNAT1
64802
PPI PBMC Myeloid Subcluster 1



CSGALNACT2
55454
PPI PBMC Myeloid Subcluster 1



DSE
29940
PPI PBMC Myeloid Subcluster 1



MLEC
9761
PPI PBMC Myeloid Subcluster 1



DNAJC5
80331
PPI PBMC Myeloid Subcluster 1



ALDH3B1
221
PPI PBMC Myeloid Subcluster 1



AGPAT2
10555
PPI PBMC Myeloid Subcluster 1



QSOX1
5768
PPI PBMC Myeloid Subcluster 1



SLC2A5
6518
PPI PBMC Myeloid Subcluster 1



MFGE8
4240
PPI PBMC Myeloid Subcluster 1



BST1
683
PPI PBMC Myeloid Subcluster 1



VAMP8
8673
PPI PBMC Myeloid Subcluster 1



HVCN1
84329
PPI PBMC Myeloid Subcluster 1



ATP11A
23250
PPI PBMC Myeloid Subcluster 1



IGFBP7
3490
PPI PBMC Myeloid Subcluster 1



F5
2153
PPI PBMC Myeloid Subcluster 1



VCAN
1462
PPI PBMC Myeloid Subcluster 1



CD93
22918
PPI PBMC Myeloid Subcluster 1



LGALS1
3956
PPI PBMC Myeloid Subcluster 1



TIMP1
7076
PPI PBMC Myeloid Subcluster 1



RAB44
401258
PPI PBMC Myeloid Subcluster 1



CLEC4D
338339
PPI PBMC Myeloid Subcluster 1



MERTK
10461
PPI PBMC Myeloid Subcluster 1



GAS6
2621
PPI PBMC Myeloid Subcluster 1



CLEC5A
23601
PPI PBMC Myeloid Subcluster 1



LRP8
7804
PPI PBMC Myeloid Subcluster 1



MCEMP1
199675
PPI PBMC Myeloid Subcluster 1



CLEC12A
160364
PPI PBMC Myeloid Subcluster 1



APOE
348
PPI PBMC Myeloid Subcluster 1



CD36
948
PPI PBMC Myeloid Subcluster 1



PLD1
5337
PPI PBMC Myeloid Subcluster 1



CD33
945
PPI PBMC Myeloid Subcluster 1



LAIR1
3903
PPI PBMC Myeloid Subcluster 1



FSTL3
10272
PPI PBMC Myeloid Subcluster 1



BACE1
23621
PPI PBMC Myeloid Subcluster 1



CST3
1471
PPI PBMC Myeloid Subcluster 1



CYBB
1536
PPI PBMC Myeloid Subcluster 1



NUCB1
4924
PPI PBMC Myeloid Subcluster 1



C3AR1
719
PPI PBMC Myeloid Subcluster 1



APLP2
334
PPI PBMC Myeloid Subcluster 1



APP
351
PPI PBMC Myeloid Subcluster 1



ITGB2
3689
PPI PBMC Myeloid Subcluster 1



ITGAM
3684
PPI PBMC Myeloid Subcluster 1



LAMC1
3915
PPI PBMC Myeloid Subcluster 1



LAMB2
3913
PPI PBMC Myeloid Subcluster 1



PCSK9
255738
PPI PBMC Myeloid Subcluster 1



FN1
2335
PPI PBMC Myeloid Subcluster 1



FAM20C
56975
PPI PBMC Myeloid Subcluster 1



FAM20A
54757
PPI PBMC Myeloid Subcluster 1



CALU
813
PPI PBMC Myeloid Subcluster 1



P4HB
5034
PPI PBMC Myeloid Subcluster 1



PDIA6
10130
PPI PBMC Myeloid Subcluster 1



ATP6V1D
51382
PPI PBMC Myeloid Subcluster 1



LAMTOR2
28956
PPI PBMC Myeloid Subcluster 1



VPS11
55823
PPI PBMC Myeloid Subcluster 3



UBE2L3
7332
PPI PBMC Myeloid Subcluster 3



GPER1
2852
PPI PBMC Myeloid Subcluster 3



S1PR3
1903
PPI PBMC Myeloid Subcluster 3



MT2A
4502
PPI PBMC Myeloid Subcluster 3



HEBP1
50865
PPI PBMC Myeloid Subcluster 3



SAMHD1
25939
PPI PBMC Myeloid Subcluster 3



OPN3
23596
PPI PBMC Myeloid Subcluster 3



GNG5
2787
PPI PBMC Myeloid Subcluster 3



CXCL10
3627
PPI PBMC Myeloid Subcluster 3



TBC1D2
55357
PPI PBMC Myeloid Subcluster 3



IRF5
3663
PPI PBMC Myeloid Subcluster 3



ADORA3
140
PPI PBMC Myeloid Subcluster 3



CCR2
729230
PPI PBMC Myeloid Subcluster 3



IFITM3
10410
PPI PBMC Myeloid Subcluster 3



FPR3
2359
PPI PBMC Myeloid Subcluster 3



IRF8
3394
PPI PBMC Myeloid Subcluster 3



RAB7A
7879
PPI PBMC Myeloid Subcluster 3



CCZ1
51622
PPI PBMC Myeloid Subcluster 3



CCR1
1230
PPI PBMC Myeloid Subcluster 3



IFI35
3430
PPI PBMC Myeloid Subcluster 3



FCGR1B
2210
PPI PBMC Myeloid Subcluster 3



IFI6
2537
PPI PBMC Myeloid Subcluster 3



RSAD2
91543
PPI PBMC Myeloid Subcluster 3



MX1
4599
PPI PBMC Myeloid Subcluster 3



GALK2
2585
PPI PBMC Myeloid Subcluster 4



CTSB
1508
PPI PBMC Myeloid Subcluster 4



CTSL
1514
PPI PBMC Myeloid Subcluster 4



SGMS2
166929
PPI PBMC Myeloid Subcluster 4



METTL7A
25840
PPI PBMC Myeloid Subcluster 4



ASAH1
427
PPI PBMC Myeloid Subcluster 4



MMP17
4326
PPI PBMC Myeloid Subcluster 4



CFP
5199
PPI PBMC Myeloid Subcluster 4



CTSS
1520
PPI PBMC Myeloid Subcluster 4



NIPA2
81614
PPI PBMC Myeloid Subcluster 4



C5
727
PPI PBMC Myeloid Subcluster 4



IDH1
3417
PPI PBMC Myeloid Subcluster 4



LTA4H
4048
PPI PBMC Myeloid Subcluster 4



ALDOA
226
PPI PBMC Myeloid Subcluster 4



CTSD
1509
PPI PBMC Myeloid Subcluster 4



HP
3240
PPI PBMC Myeloid Subcluster 4



CTSH
1512
PPI PBMC Myeloid Subcluster 4



CSTB
1476
PPI PBMC Myeloid Subcluster 4



TIMP2
7077
PPI PBMC Myeloid Subcluster 4



MMP14
4323
PPI PBMC Myeloid Subcluster 4



HLA-DQA1
3117
PPI PBMC Myeloid Subcluster 4



HLA-DRA
3122
PPI PBMC Myeloid Subcluster 4



FCGR1A
2209
PPI PBMC Myeloid Subcluster 4



CYFIP1
23191
PPI PBMC Myeloid Subcluster 4



NACA2
342538
PPI PBMC Myeloid Subcluster 5



NCAPH
23397
PPI PBMC Myeloid Subcluster 5



PER1
5187
PPI PBMC Myeloid Subcluster 5



PPP1R3D
5509
PPI PBMC Myeloid Subcluster 5



TP53BP2
7159
PPI PBMC Myeloid Subcluster 5



CMPK2
129607
PPI PBMC Myeloid Subcluster 5



RCC2
55920
PPI PBMC Myeloid Subcluster 5



MAPRE1
22919
PPI PBMC Myeloid Subcluster 5



NUP37
79023
PPI PBMC Myeloid Subcluster 5



POLQ
10721
PPI PBMC Myeloid Subcluster 5



PPP1CC
5501
PPI PBMC Myeloid Subcluster 5



OAS2
4939
PPI PBMC Myeloid Subcluster 5



OAS3
4940
PPI PBMC Myeloid Subcluster 5



OAS1
4938
PPI PBMC Myeloid Subcluster 5



OASL
8638
PPI PBMC Myeloid Subcluster 5



FEN1
2237
PPI PBMC Myeloid Subcluster 5



PCNA
5111
PPI PBMC Myeloid Subcluster 5



CDT1
81620
PPI PBMC Myeloid Subcluster 5



MCM2
4171
PPI PBMC Myeloid Subcluster 5



CDC6
990
PPI PBMC Myeloid Subcluster 5



ORC1
4998
PPI PBMC Myeloid Subcluster 5



MCM4
4173
PPI PBMC Myeloid Subcluster 5



MARCO
8685
PPI PBMC Myeloid Subcluster 6



CCDC47
57003
PPI PBMC Myeloid Subcluster 6



MPEG1
219972
PPI PBMC Myeloid Subcluster 6



ALOX5
240
PPI PBMC Myeloid Subcluster 6



TLR5
7100
PPI PBMC Myeloid Subcluster 6



IKBKE
9641
PPI PBMC Myeloid Subcluster 6



MRC1
4360
PPI PBMC Myeloid Subcluster 6



C2
717
PPI PBMC Myeloid Subcluster 6



TLR2
7097
PPI PBMC Myeloid Subcluster 6



CD14
929
PPI PBMC Myeloid Subcluster 6



IRAK3
11213
PPI PBMC Myeloid Subcluster 6



IRAK1
3654
PPI PBMC Myeloid Subcluster 6



S100A12
6283
PPI PBMC Myeloid Subcluster 6



TLR4
7099
PPI PBMC Myeloid Subcluster 6



MYD88
4615
PPI PBMC Myeloid Subcluster 6



CD180
4064
PPI PBMC Myeloid Subcluster 6



LY86
9450
PPI PBMC Myeloid Subcluster 6



S100A8
6279
PPI PBMC Myeloid Subcluster 6



S100A9
6280
PPI PBMC Myeloid Subcluster 6



C1QC
714
PPI PBMC Myeloid Subcluster 6



C1QB
713
PPI PBMC Myeloid Subcluster 6



C1QA
712
PPI PBMC Myeloid Subcluster 6



MLKL
197259
PPI PBMC Myeloid Subcluster 13



PTBP2
58155
PPI PBMC Myeloid Subcluster 13



NLRP3
114548
PPI PBMC Myeloid Subcluster 13



CARD16
114769
PPI PBMC Myeloid Subcluster 13



IL18
3606
PPI PBMC Myeloid Subcluster 13



CASP1
834
PPI PBMC Myeloid Subcluster 13



NLRC4
58484
PPI PBMC Myeloid Subcluster 13



NAIP
4671
PPI PBMC Myeloid Subcluster 13



ADRA2A
150
PPI Lung Myeloid Subcluster 1



BCL3
602
PPI Lung Myeloid Subcluster 1



C3AR1
719
PPI Lung Myeloid Subcluster 1



C5AR1
728
PPI Lung Myeloid Subcluster 1



CCL15
6359
PPI Lung Myeloid Subcluster 1



CCL19
6363
PPI Lung Myeloid Subcluster 1



CCL3
6348
PPI Lung Myeloid Subcluster 1



CCL4
6351
PPI Lung Myeloid Subcluster 1



CCR1
1230
PPI Lung Myeloid Subcluster 1



CCRL2
9034
PPI Lung Myeloid Subcluster 1



CMPK2
129607
PPI Lung Myeloid Subcluster 1



CXCL10
3627
PPI Lung Myeloid Subcluster 1



CXCL11
6373
PPI Lung Myeloid Subcluster 1



CXCL16
58191
PPI Lung Myeloid Subcluster 1



CXCR2
3579
PPI Lung Myeloid Subcluster 1



DDX58
23586
PPI Lung Myeloid Subcluster 1



DDX60
55601
PPI Lung Myeloid Subcluster 1



DDX60L
91351
PPI Lung Myeloid Subcluster 1



DRD2
1813
PPI Lung Myeloid Subcluster 1



EIF2AK2
5610
PPI Lung Myeloid Subcluster 1



EPSTI1
94240
PPI Lung Myeloid Subcluster 1



FPR1
2357
PPI Lung Myeloid Subcluster 1



FPR2
2358
PPI Lung Myeloid Subcluster 1



GNG2
54331
PPI Lung Myeloid Subcluster 1



GNG5
2787
PPI Lung Myeloid Subcluster 1



GPR37L1
9283
PPI Lung Myeloid Subcluster 1



GPSM3
63940
PPI Lung Myeloid Subcluster 1



HCAR1
27198
PPI Lung Myeloid Subcluster 1



HCAR2
338442
PPI Lung Myeloid Subcluster 1



HELZ2
85441
PPI Lung Myeloid Subcluster 1



HERC5
51191
PPI Lung Myeloid Subcluster 1



HERC6
55008
PPI Lung Myeloid Subcluster 1



HLA-A
3105
PPI Lung Myeloid Subcluster 1



HLA-B
3106
PPI Lung Myeloid Subcluster 1



HTR1A
3350
PPI Lung Myeloid Subcluster 1



IDO1
3620
PPI Lung Myeloid Subcluster 1



IFI44
10561
PPI Lung Myeloid Subcluster 1



IFI44L
10964
PPI Lung Myeloid Subcluster 1



IFI6
2537
PPI Lung Myeloid Subcluster 1



IFIH1
64135
PPI Lung Myeloid Subcluster 1



IFIT1
3434
PPI Lung Myeloid Subcluster 1



IFIT1B
439996
PPI Lung Myeloid Subcluster 1



IFIT2
3433
PPI Lung Myeloid Subcluster 1



IFIT3
3437
PPI Lung Myeloid Subcluster 1



IFIT5
24138
PPI Lung Myeloid Subcluster 1



IFITM1
8519
PPI Lung Myeloid Subcluster 1



IFITM2
10581
PPI Lung Myeloid Subcluster 1



IFITM3
10410
PPI Lung Myeloid Subcluster 1



IL27
246778
PPI Lung Myeloid Subcluster 1



IRF2
3660
PPI Lung Myeloid Subcluster 1



IRF7
3665
PPI Lung Myeloid Subcluster 1



ISG15
9636
PPI Lung Myeloid Subcluster 1



KCNJ2
3759
PPI Lung Myeloid Subcluster 1



MX1
4599
PPI Lung Myeloid Subcluster 1



MX2
4600
PPI Lung Myeloid Subcluster 1



OAS1
4938
PPI Lung Myeloid Subcluster 1



OAS2
4939
PPI Lung Myeloid Subcluster 1



OAS3
4940
PPI Lung Myeloid Subcluster 1



OASL
8638
PPI Lung Myeloid Subcluster 1



P2RY13
53829
PPI Lung Myeloid Subcluster 1



P2RY14
9934
PPI Lung Myeloid Subcluster 1



RSAD2
91543
PPI Lung Myeloid Subcluster 1



RTP4
64108
PPI Lung Myeloid Subcluster 1



SAA1
6288
PPI Lung Myeloid Subcluster 1



SAMD9
54809
PPI Lung Myeloid Subcluster 1



SAMD9L
219285
PPI Lung Myeloid Subcluster 1



SP110
3431
PPI Lung Myeloid Subcluster 1



STAT1
6772
PPI Lung Myeloid Subcluster 1



STAT2
6773
PPI Lung Myeloid Subcluster 1



SUCNR1
56670
PPI Lung Myeloid Subcluster 1



TNFSF10
8743
PPI Lung Myeloid Subcluster 1



UBE2L6
9246
PPI Lung Myeloid Subcluster 1



USP15
9958
PPI Lung Myeloid Subcluster 1



USP18
11274
PPI Lung Myeloid Subcluster 1



XAF1
54739
PPI Lung Myeloid Subcluster 1



ZBP1
81030
PPI Lung Myeloid Subcluster 1



CCL2
6347
PPI Lung Myeloid Subcluster 2



CCL7
6354
PPI Lung Myeloid Subcluster 2



CDA
978
PPI Lung Myeloid Subcluster 2



CHI3L1
1116
PPI Lung Myeloid Subcluster 2



CHIT1
1118
PPI Lung Myeloid Subcluster 2



CRISP3
10321
PPI Lung Myeloid Subcluster 2



FLG2
388698
PPI Lung Myeloid Subcluster 2



HBB
3043
PPI Lung Myeloid Subcluster 2



HP
3240
PPI Lung Myeloid Subcluster 2



LCN2
3934
PPI Lung Myeloid Subcluster 2



LTF
4057
PPI Lung Myeloid Subcluster 2



MMP8
4317
PPI Lung Myeloid Subcluster 2



PGLYRP1
8993
PPI Lung Myeloid Subcluster 2



TCN1
6947
PPI Lung Myeloid Subcluster 2



MAP2K6
5608
PPI Lung Myeloid Subcluster 8



MCTS1
28985
PPI Lung Myeloid Subcluster 8



PSMA4
5685
PPI Lung Myeloid Subcluster 8



PSME3
10197
PPI Lung Myeloid Subcluster 8



TNF
7124
PPI Lung Myeloid Subcluster 8



TNFSF13B
10673
PPI Lung Myeloid Subcluster 8



TNFSF14
8740
PPI Lung Myeloid Subcluster 8



TP73
7161
PPI Lung Myeloid Subcluster 8



AIM2
9447
PPI Lung Myeloid Subcluster 9



CASP4
837
PPI Lung Myeloid Subcluster 9



CASP5
838
PPI Lung Myeloid Subcluster 9



CASP1
834
PPI Lung Myeloid Subcluster 10



IL1A
3552
PPI Lung Myeloid Subcluster 10



IL1R2
7850
PPI Lung Myeloid Subcluster 10



IL1RN
3557
PPI Lung Myeloid Subcluster 10



ADCYAP1
116
PPI Lung Myeloid Subcluster 3



BST1
683
PPI Lung Myeloid Subcluster 3



CD38
952
PPI Lung Myeloid Subcluster 3



CD53
963
PPI Lung Myeloid Subcluster 3



CEACAM1
634
PPI Lung Myeloid Subcluster 3



CERS6
253782
PPI Lung Myeloid Subcluster 3



CLEC12A
160364
PPI Lung Myeloid Subcluster 3



CLEC12B
387837
PPI Lung Myeloid Subcluster 3



CLEC4D
338339
PPI Lung Myeloid Subcluster 3



CLEC4E
26253
PPI Lung Myeloid Subcluster 3



CYBB
1536
PPI Lung Myeloid Subcluster 3



CYSTM1
84418
PPI Lung Myeloid Subcluster 3



FCER1G
2207
PPI Lung Myeloid Subcluster 3



GPR84
53831
PPI Lung Myeloid Subcluster 3



MGAM
8972
PPI Lung Myeloid Subcluster 3



MS4A3
932
PPI Lung Myeloid Subcluster 3



ALOX5AP
241
PPI Lung Myeloid Subcluster 6



AQP9
366
PPI Lung Myeloid Subcluster 6



ARHGAP9
64333
PPI Lung Myeloid Subcluster 6



C1QB
713
PPI Lung Myeloid Subcluster 6



C2
717
PPI Lung Myeloid Subcluster 6



CAPZA1
829
PPI Lung Myeloid Subcluster 6



CCL18
6362
PPI Lung Myeloid Subcluster 6



CCL8
6355
PPI Lung Myeloid Subcluster 6



CD74
972
PPI Lung Myeloid Subcluster 6



CMTM2
146225
PPI Lung Myeloid Subcluster 6



COL9A2
1298
PPI Lung Myeloid Subcluster 6



CTF1
1489
PPI Lung Myeloid Subcluster 6



EVI2A
2123
PPI Lung Myeloid Subcluster 6



EVI2B
2124
PPI Lung Myeloid Subcluster 6



FCGR2A
2212
PPI Lung Myeloid Subcluster 6



FCN1
2219
PPI Lung Myeloid Subcluster 6



GAPT
202309
PPI Lung Myeloid Subcluster 6



HCST
10870
PPI Lung Myeloid Subcluster 6



IFNL1
282618
PPI Lung Myeloid Subcluster 6



IGLL5
100423062
PPI Lung Myeloid Subcluster 6



IGSF6
10261
PPI Lung Myeloid Subcluster 6



IL2RG
3561
PPI Lung Myeloid Subcluster 6



LILRA1
11024
PPI Lung Myeloid Subcluster 6



LY86
9450
PPI Lung Myeloid Subcluster 6



NCF4
4689
PPI Lung Myeloid Subcluster 6



PIK3AP1
118788
PPI Lung Myeloid Subcluster 6



PLEK
5341
PPI Lung Myeloid Subcluster 6



RAC2
5880
PPI Lung Myeloid Subcluster 6



RNASE2
6036
PPI Lung Myeloid Subcluster 6



S100A12
6283
PPI Lung Myeloid Subcluster 6



S100A8
6279
PPI Lung Myeloid Subcluster 6



S100A9
6280
PPI Lung Myeloid Subcluster 6



SELL
6402
PPI Lung Myeloid Subcluster 6



STX11
8676
PPI Lung Myeloid Subcluster 6



TAGAP
117289
PPI Lung Myeloid Subcluster 6



TFEC
22797
PPI Lung Myeloid Subcluster 6



TLR1
7096
PPI Lung Myeloid Subcluster 6



TMEM176B
28959
PPI Lung Myeloid Subcluster 6



BCL2A1
597
PPI Lung Myeloid Subcluster 4



C1QC
714
PPI Lung Myeloid Subcluster 4



CARD16
114769
PPI Lung Myeloid Subcluster 4



CLEC4A
50856
PPI Lung Myeloid Subcluster 4



CSF2RB
1439
PPI Lung Myeloid Subcluster 4



FGL2
10875
PPI Lung Myeloid Subcluster 4



IL1B
3553
PPI Lung Myeloid Subcluster 4



RGS18
64407
PPI Lung Myeloid Subcluster 4



TLR7
51284
PPI Lung Myeloid Subcluster 4



ARRB2
409
PPI Lung Myeloid Subcluster 7



C6
729
PPI Lung Myeloid Subcluster 7



C8A
731
PPI Lung Myeloid Subcluster 7



CDH2
1000
PPI Lung Myeloid Subcluster 7



EGF
1950
PPI Lung Myeloid Subcluster 7



F5
2153
PPI Lung Myeloid Subcluster 7



FGG
2266
PPI Lung Myeloid Subcluster 7



FGL1
2267
PPI Lung Myeloid Subcluster 7



IGFBP1
3484
PPI Lung Myeloid Subcluster 7



LMAN1L
79748
PPI Lung Myeloid Subcluster 7



LY96
23643
PPI Lung Myeloid Subcluster 7



LYN
4067
PPI Lung Myeloid Subcluster 7



OR13G1
441933
PPI Lung Myeloid Subcluster 7



OR2AT4
341152
PPI Lung Myeloid Subcluster 7



OR2C1
4993
PPI Lung Myeloid Subcluster 7



PCSK9
255738
PPI Lung Myeloid Subcluster 7



RBP4
5950
PPI Lung Myeloid Subcluster 7



SERPINA1
5265
PPI Lung Myeloid Subcluster 7



SERPINE2
5270
PPI Lung Myeloid Subcluster 7



BDKRB2
624
PPI BAL Myeloid Subcluster 2



C3
718
PPI BAL Myeloid Subcluster 2



C3AR1
719
PPI BAL Myeloid Subcluster 2



CCL20
6364
PPI BAL Myeloid Subcluster 2



CCL4
6351
PPI BAL Myeloid Subcluster 2



CCL7
6354
PPI BAL Myeloid Subcluster 2



CCR1
1230
PPI BAL Myeloid Subcluster 2



CCR5
1234
PPI BAL Myeloid Subcluster 2



CXCL1
2919
PPI BAL Myeloid Subcluster 2



CXCL10
3627
PPI BAL Myeloid Subcluster 2



CXCL11
6373
PPI BAL Myeloid Subcluster 2



CXCL12
6387
PPI BAL Myeloid Subcluster 2



CXCL16
58191
PPI BAL Myeloid Subcluster 2



CXCL2
2920
PPI BAL Myeloid Subcluster 2



CXCL3
2921
PPI BAL Myeloid Subcluster 2



CXCL6
6372
PPI BAL Myeloid Subcluster 2



CXCL9
4283
PPI BAL Myeloid Subcluster 2



FPR3
2359
PPI BAL Myeloid Subcluster 2



GNAI1
2770
PPI BAL Myeloid Subcluster 2



GNB4
59345
PPI BAL Myeloid Subcluster 2



GNG12
55970
PPI BAL Myeloid Subcluster 2



GNG5
2787
PPI BAL Myeloid Subcluster 2



GNGT2
2793
PPI BAL Myeloid Subcluster 2



HCAR2
338442
PPI BAL Myeloid Subcluster 2



KCNJ10
3766
PPI BAL Myeloid Subcluster 2



KCNJ16
3773
PPI BAL Myeloid Subcluster 2



KCNJ5
3762
PPI BAL Myeloid Subcluster 2



LPAR1
1902
PPI BAL Myeloid Subcluster 2



LPAR3
23566
PPI BAL Myeloid Subcluster 2



NPW
283869
PPI BAL Myeloid Subcluster 2



PAQR5
54852
PPI BAL Myeloid Subcluster 2



PTGER3
5733
PPI BAL Myeloid Subcluster 2



RGS22
26166
PPI BAL Myeloid Subcluster 2



SAA1
6288
PPI BAL Myeloid Subcluster 2



SSTR2
6752
PPI BAL Myeloid Subcluster 2



SUCNR1
56670
PPI BAL Myeloid Subcluster 2



TAS2R13
50838
PPI BAL Myeloid Subcluster 2



ABI1
10006
PPI BAL Myeloid Subcluster 7



C1QA
712
PPI BAL Myeloid Subcluster 7



C1QB
713
PPI BAL Myeloid Subcluster 7



C1QC
714
PPI BAL Myeloid Subcluster 7



C2
717
PPI BAL Myeloid Subcluster 7



CFH
3075
PPI BAL Myeloid Subcluster 7



CRK
1398
PPI BAL Myeloid Subcluster 7



DOCK1
1793
PPI BAL Myeloid Subcluster 7



FCGR2A
2212
PPI BAL Myeloid Subcluster 7



FCGR3A
2214
PPI BAL Myeloid Subcluster 7



GK
2710
PPI BAL Myeloid Subcluster 7



IGSF6
10261
PPI BAL Myeloid Subcluster 7



KNDC1
85442
PPI BAL Myeloid Subcluster 7



LILRB4
11006
PPI BAL Myeloid Subcluster 7



MARCO
8685
PPI BAL Myeloid Subcluster 7



MRC1
4360
PPI BAL Myeloid Subcluster 7



NCKAP1
10787
PPI BAL Myeloid Subcluster 7



PLA2G7
7941
PPI BAL Myeloid Subcluster 7



ANXA2
302
PPI BAL Myeloid Subcluster 3



APOE
348
PPI BAL Myeloid Subcluster 3



C6
729
PPI BAL Myeloid Subcluster 3



C8B
732
PPI BAL Myeloid Subcluster 3



CD44
960
PPI BAL Myeloid Subcluster 3



CP
1356
PPI BAL Myeloid Subcluster 3



CREG1
8804
PPI BAL Myeloid Subcluster 3



CTSC
1075
PPI BAL Myeloid Subcluster 3



DCP1B
196513
PPI BAL Myeloid Subcluster 3



FABP5
2171
PPI BAL Myeloid Subcluster 3



FCGR1A
2209
PPI BAL Myeloid Subcluster 3



FCGR1B
2210
PPI BAL Myeloid Subcluster 3



FGFR2
2263
PPI BAL Myeloid Subcluster 3



FN1
2335
PPI BAL Myeloid Subcluster 3



FRK
2444
PPI BAL Myeloid Subcluster 3



FTL
2512
PPI BAL Myeloid Subcluster 3



FUCA1
2517
PPI BAL Myeloid Subcluster 3



GBP1
2633
PPI BAL Myeloid Subcluster 3



GBP6
163351
PPI BAL Myeloid Subcluster 3



GM2A
2760
PPI BAL Myeloid Subcluster 3



GOLM1
51280
PPI BAL Myeloid Subcluster 3



HLA-DPA1
3113
PPI BAL Myeloid Subcluster 3



HLA-DQA1
3117
PPI BAL Myeloid Subcluster 3



HLA-DQA2
3118
PPI BAL Myeloid Subcluster 3



HLA-DQB2
3120
PPI BAL Myeloid Subcluster 3



IFI6
2537
PPI BAL Myeloid Subcluster 3



IFIH1
64135
PPI BAL Myeloid Subcluster 3



IFIT3
3437
PPI BAL Myeloid Subcluster 3



IFIT5
24138
PPI BAL Myeloid Subcluster 3



IFITM3
10410
PPI BAL Myeloid Subcluster 3



IGFBP3
3486
PPI BAL Myeloid Subcluster 3



IGFBP5
3488
PPI BAL Myeloid Subcluster 3



IL17RD
54756
PPI BAL Myeloid Subcluster 3



IRF2
3660
PPI BAL Myeloid Subcluster 3



IRF6
3664
PPI BAL Myeloid Subcluster 3



ISG15
9636
PPI BAL Myeloid Subcluster 3



LAMB1
3912
PPI BAL Myeloid Subcluster 3



LGMN
5641
PPI BAL Myeloid Subcluster 3



MGAT4A
11320
PPI BAL Myeloid Subcluster 3



MID1
4281
PPI BAL Myeloid Subcluster 3



MMP1
4312
PPI BAL Myeloid Subcluster 3



MMP10
4319
PPI BAL Myeloid Subcluster 3



MMP7
4316
PPI BAL Myeloid Subcluster 3



MSLN
10232
PPI BAL Myeloid Subcluster 3



MT2A
4502
PPI BAL Myeloid Subcluster 3



NKAP
79576
PPI BAL Myeloid Subcluster 3



OAS1
4938
PPI BAL Myeloid Subcluster 3



OAS2
4939
PPI BAL Myeloid Subcluster 3



OASL
8638
PPI BAL Myeloid Subcluster 3



OSBPL1A
114876
PPI BAL Myeloid Subcluster 3



PDCD1LG2
80380
PPI BAL Myeloid Subcluster 3



PRSS23
11098
PPI BAL Myeloid Subcluster 3



PTRH2
51651
PPI BAL Myeloid Subcluster 3



PYCARD
29108
PPI BAL Myeloid Subcluster 3



S100A2
6273
PPI BAL Myeloid Subcluster 3



S100A7
6278
PPI BAL Myeloid Subcluster 3



SDC2
6383
PPI BAL Myeloid Subcluster 3



SDCBP
6386
PPI BAL Myeloid Subcluster 3



SERPINB3
6317
PPI BAL Myeloid Subcluster 3



SERPINB4
6318
PPI BAL Myeloid Subcluster 3



SP110
3431
PPI BAL Myeloid Subcluster 3



SPARCL1
8404
PPI BAL Myeloid Subcluster 3



SPP1
6696
PPI BAL Myeloid Subcluster 3



TNC
3371
PPI BAL Myeloid Subcluster 3



TRIM14
9830
PPI BAL Myeloid Subcluster 3



TRIM2
23321
PPI BAL Myeloid Subcluster 3



ACACB
32
PPI BAL Myeloid Subcluster 5



ACADM
34
PPI BAL Myeloid Subcluster 5



APOC1
341
PPI BAL Myeloid Subcluster 5



BDP1
55814
PPI BAL Myeloid Subcluster 5



BNIP3
664
PPI BAL Myeloid Subcluster 5



BRD8
10902
PPI BAL Myeloid Subcluster 5



CCL3
6348
PPI BAL Myeloid Subcluster 5



CEBPB
1051
PPI BAL Myeloid Subcluster 5



CEP350
9857
PPI BAL Myeloid Subcluster 5



CNOT1
23019
PPI BAL Myeloid Subcluster 5



DEPTOR
64798
PPI BAL Myeloid Subcluster 5



DHX32
55760
PPI BAL Myeloid Subcluster 5



EIF4EBP1
1978
PPI BAL Myeloid Subcluster 5



FABP4
2167
PPI BAL Myeloid Subcluster 5



FABP6
2172
PPI BAL Myeloid Subcluster 5



FAM120B
84498
PPI BAL Myeloid Subcluster 5



FNIP1
96459
PPI BAL Myeloid Subcluster 5



FNIP2
57600
PPI BAL Myeloid Subcluster 5



GPN3
51184
PPI BAL Myeloid Subcluster 5



GRHL1
29841
PPI BAL Myeloid Subcluster 5



GTF3A
2971
PPI BAL Myeloid Subcluster 5



GTF3C6
112495
PPI BAL Myeloid Subcluster 5



HMGCS2
3158
PPI BAL Myeloid Subcluster 5



ITPA
3704
PPI BAL Myeloid Subcluster 5



KLF5
688
PPI BAL Myeloid Subcluster 5



LAMTOR5
10542
PPI BAL Myeloid Subcluster 5



LEP
3952
PPI BAL Myeloid Subcluster 5



LPL
4023
PPI BAL Myeloid Subcluster 5



MCTS1
28985
PPI BAL Myeloid Subcluster 5



MED11
400569
PPI BAL Myeloid Subcluster 5



MED19
219541
PPI BAL Myeloid Subcluster 5



MED21
9412
PPI BAL Myeloid Subcluster 5



MED7
9443
PPI BAL Myeloid Subcluster 5



MED8
112950
PPI BAL Myeloid Subcluster 5



NCOA2
10499
PPI BAL Myeloid Subcluster 5



NFIA
4774
PPI BAL Myeloid Subcluster 5



NFIB
4781
PPI BAL Myeloid Subcluster 5



NFIC
4782
PPI BAL Myeloid Subcluster 5



NR2F2
7026
PPI BAL Myeloid Subcluster 5



PDE9A
5152
PPI BAL Myeloid Subcluster 5



POLR3B
55703
PPI BAL Myeloid Subcluster 5



POLR3C
10623
PPI BAL Myeloid Subcluster 5



POLR3K
51728
PPI BAL Myeloid Subcluster 5



PPARG
5468
PPI BAL Myeloid Subcluster 5



PPARGC1A
10891
PPI BAL Myeloid Subcluster 5



PRKAA1
5562
PPI BAL Myeloid Subcluster 5



PRKAA2
5563
PPI BAL Myeloid Subcluster 5



PRKAG1
5571
PPI BAL Myeloid Subcluster 5



PRKAG3
53632
PPI BAL Myeloid Subcluster 5



RGL1
23179
PPI BAL Myeloid Subcluster 5



RHEB
6009
PPI BAL Myeloid Subcluster 5



RRAGA
10670
PPI BAL Myeloid Subcluster 5



RRAGB
10325
PPI BAL Myeloid Subcluster 5



RRAGC
64121
PPI BAL Myeloid Subcluster 5



AIM2
9447
PPI BAL Myeloid Subcluster 9



CASP4
837
PPI BAL Myeloid Subcluster 9



CASP5
838
PPI BAL Myeloid Subcluster 9



IFI16
3428
PPI BAL Myeloid Subcluster 9



IL18
3606
PPI BAL Myeloid Subcluster 9



NLRC4
58484
PPI BAL Myeloid Subcluster 9




















Co-expressed Myeloid Subpopulations










GeneSymbol
EntrezID











CoV-2 PBMC Myeloid A1










ADAMDEC1
27299



ADGRE2
30817



AIF1
199



AOAH
313



APOBEC3B
9582



APOBR
55911



APOC1
341



BST1
683



C1QA
712



C1QB
713



C1QC
714



C1RL
51279



C2
717



C4A
720



C4B
721



C4BPA
722



C5
727



C6
729



CCL18
6362



CCL2
6347



CCL7
6354



CCL8
6355



CD101
9398



CD14
929



CD163
9332



CD209
30835



CD300C
10871



CD300E
342510



CD300LF
146722



CD33
945



CD68
968



CD80
941



CFD
1675



CFP
5199



CLEC10A
10462



CLEC12A
160364



CLEC12B
387837



CLEC16A
23274



CLEC4A
50856



CLEC4D
338339



CLEC4E
26253



CLEC5A
23601



CLEC6A
93978



CLEC7A
64581



CSF1R
1436



CSF2RA
1438



CSF2RB
1439



CSF3R
1441



CST3
1471



CXCL10
3627



CXCL11
6373



CXCL2
2920



CXCL9
4283



CYBA
1535



CYBB
1536



FCER1G
2207



FCGR1A
2209



FCGR1B
2210



FCGR2A
2212



FCGR2B
2213



FCGR2C
9103



FGR
2268



FLT3
2322



FOLR2
2350



FUT4
2526



GRN
2896



HVCN1
84329



IFI30
10437



IGSF6
10261



IL10RA
3587



IL18
3606



IL1A
3552



IL1RAP
3556



IL1RN
3557



ITGAX
3687



LGALS12
85329



LGALS9
3965



LILRA1
11024



LILRA2
11027



LILRA5
353514



LILRA6
79168



LILRB1
10859



LILRB2
10288



LILRB3
11025



LILRB4
11006



LILRB5
10990



LMNB1
4001



LY86
9450



LYVE1
10894



LYZ
4069



MARCO
8685



MEFV
4210



MERTK
10461



MFGE8
4240



MNDA
4332



MPEG1
219972



MRC1
4360



MS4A4A
51338



MS4A6A
64231



MSR1
4481



NLRP12
91662



NLRP3
114548



NOD2
64127



NTSR1
4923



OSCAR
126014



OTOF
9381



PECAM1
5175



PILRA
29992



PLEK
5341



PRAM1
84106



RNASE3
6037



RNASE6
6039



RNASE7
84659



S100A8
6279



S100A9
6280



SCARB1
949



SECTM1
6398



SEMA4A
64218



SERPINB9
5272



SERPING1
710



SIGLEC1
6614



SIGLEC10
89790



SIGLEC5
8778



SIGLEC7
27036



SKAP2
8935



SLC11A1
6556



SLITRK4
139065



SPI1
6688



TGM2
7052



THBD
7056



TLR2
7097



TLR8
51311



TNF
7124



TNFAIP8L2
79626



TNFRSF1B
7133



TNFSF13B
10673



TREM1
54210



TREML4
285852



TYROBP
7305



UNC93B1
81622



VENTX
27287



VSIG4
11326



VSTM1
284415







CoV-2 Lung Myeloid A2










ADAMDEC1
27299



ADGRE1
2015



ADGRE2
30817



AIF1
199



APOBEC3B
9582



APOBEC3G
60489



APOBR
55911



APOC1
341



BST1
683



C1QA
712



C1QB
713



C1QC
714



C2
717



C4BPA
722



C4BPB
725



C6
729



C8A
731



CCL18
6362



CCL2
6347



CCL22
6367



CCL7
6354



CCL8
6355



CD14
929



CD300E
342510



CD33
945



CD80
941



CFD
1675



CFP
5199



CHI3L1
1116



CHIT1
1118



CLEC12A
160364



CLEC12B
387837



CLEC1A
51267



CLEC2B
9976



CLEC4A
50856



CLEC4D
338339



CLEC4E
26253



CLEC7A
64581



CSF2
1437



CSF2RB
1439



CSF3R
1441



CST3
1471



CXCL1
2919



CXCL10
3627



CXCL11
6373



CXCL13
10563



CXCL8
3576



CXCR2
3579



CYBA
1535



CYBB
1536



FCER1G
2207



FCGR1A
2209



FCGR2A
2212



FCGR2B
2213



FCGR2C
9103



FCGR3A
2214



FCGR3B
2215



FFAR2
2867



FGR
2268



FOLR2
2350



GRN
2896



IFNL1
282618



IGSF6
10261



IL12B
3593



IL18
3606



IL18RAP
8807



IL1A
3552



IL1B
3553



IL1RAP
3556



IL1RN
3557



IL20
50604



IL23A
51561



IL27
246778



ITGAX
3687



LAMP3
27074



LGALS9
3965



LGALS9C
654346



LILRA5
353514



LILRA6
79168



LILRB1
10859



LILRB2
10288



LILRB3
11025



LILRB4
11006



LILRB5
10990



LMNB1
4001



LY86
9450



LYZ
4069



MNDA
4332



MPEG1
219972



MS4A4A
51338



MS4A6A
64231



MSR1
4481



NLRP3
114548



OLR1
4973



OTOF
9381



PDCD1LG2
80380



PILRA
29992



PLEK
5341



S100A8
6279



S100A9
6280



S1PR5
53637



SECTM1
6398



SEMA4A
64218



SERPINB9
5272



SERPING1
710



SIGLEC14
1E+08



SIGLEC5
8778



SLPI
6590



SPI1
6688



TLR2
7097



TNF
7124



TNFSF13B
10673



TNFSF14
8740



TNIP3
79931



TREM1
54210



TREML4
285852



TYROBP
7305



UNC93B1
81622



VSIG4
11326




















CoV-2 BAL Lung Myeloid A3










GeneSymbol
EntrezID














ACE
1636



ADAMDEC1
27299



ADGRE3
84658



AIF1
199



APOBEC3G
60489



APOC1
341



C1QA
712



C1QB
713



C1QC
714



C1R
715



C2
717



C4BPA
722



C5
727



C6
729



CCL18
6362



CCL2
6347



CCL28
56477



CCL7
6354



CCL8
6355



CD163
9332



CD300LF
146722



CD5L
922



CD68
968



CD80
941



CHI3L1
1116



CLEC2B
9976



CLEC4E
26253



CLEC5A
23601



CLEC6A
93978



CXCL1
2919



CXCL10
3627



CXCL11
6373



CXCL2
2920



CXCL8
3576



CXCL9
4283



CXCR2
3579



FCER1G
2207



FCGR1A
2209



FCGR1B
2210



FCGR2A
2212



FCGR2C
9103



FCGR3A
2214



FCGR3B
2215



FOLR2
2350



IGSF6
10261



IK
3550



IL18
3606



IL1A
3552



IL1B
3553



IL1RN
3557



IL23A
51561



LAMP3
27074



LGALS9B
284194



LGALS9C
654346



LILRB4
11006



LILRB5
10990



LY86
9450



LYVE1
10894



MARCO
8685



MERTK
10461



MNDA
4332



MRC1
4360



MS4A4A
51338



MSR1
4481



OLR1
4973



OTOF
9381



PDCD1LG2
80380



PILRA
29992



RNASE7
84659



SCARB1
949



SERPING1
710



SIGLEC1
6614



SIGLEC14
100049587



SIGLEC5
8778



SIGLEC7
27036



SKAP2
8935



SLAMF8
56833



SLPI
6590



STAP2
55620



TGM2
7052



TLR8
51311



TNF
7124



TNFAIP8L2
79626



TNFSF13B
10673



TNIP3
79931



TYROBP
7305



VSIG4
11326




















CoV-2 PBMC Myeloid B1










GeneSymbol
EntrezID














ACE
1636



ADAM8
101



ADGRE1
2015



ADGRE3
84658



APOBEC3G
60489



C1R
715



CCL28
56477



CD5L
922



CHI3L1
1116



CHIT1
1118



CLEC2B
9976



CXCL1
2919



CXCL8
3576



CXCR2
3579



FCER1A
2205



FCGR3A
2214



FCGR3B
2215



FFAR2
2867



IK
3550



IL18RAP
8807



IL1B
3553



IL23A
51561



LAMP3
27074



LGALS9B
284194



LGALS9C
654346



OLR1
4973



PDCD1LG2
80380



PYHIN1
149628



S1PR5
53637



SIGLEC14
1E+08



SLAMF8
56833



SLPI
6590



STAP2
55620



TNFSF14
8740



TNIP3
79931



TREML2
79865




















CoV-2 PBMC Lung B2










GeneSymbol
EntrezID














ACE
1636



ADAM8
101



AOAH
313



ART4
420



BMX
660



C1R
715



C1RL
51279



C4A
720



C4B
721



CD163
9332



CD209
30835



CD300C
10871



CD300LF
146722



CD5L
922



CFB
629



CLEC10A
10462



CLEC16A
23274



CLEC5A
23601



CSF1R
1436



CSF2RA
1438



CXCL2
2920



CXCL9
4283



FCER1A
2205



FCGR1B
2210



FUT4
2526



HVCN1
84329



IK
3550



IL10RA
3587



IL12A
3592



IL31RA
133396



LGALS9B
284194



LILRA1
11024



LILRA2
11027



LYVE1
10894



MARCO
8685



MEFV
4210



MERTK
10461



MFGE8
4240



MRC1
4360



NLRP12
91662



NOD2
64127



OSCAR
126014



PECAM1
5175



PLA2G5
5322



PRAM1
84106



PYHIN1
149628



RNASE6
6039



SCARB1
949



SIGLEC1
6614



SKAP2
8935



SLC11A1
6556



STAP2
55620



TEK
7010



TGM2
7052



THBD
7056



TLR8
51311



TNFAIP8L2
79626



TNFRSF1B
7133




















CoV-2 BAL Myeloid B3










GeneSymbol
EntrezID














ADAM8
101



ADGRE1
2015



ADGRE2
30817



AOAH
313



APOBEC3B
9582



APOBR
55911



BST1
683



C1RL
51279



C4A
720



C4B
721



CD101
9398



CD14
929



CD209
30835



CD300C
10871



CD300E
342510



CD33
945



CFD
1675



CFP
5199



CHIT1
1118



CLEC10A
10462



CLEC12A
160364



CLEC12B
387837



CLEC16A
23274



CLEC4A
50856



CLEC4D
338339



CLEC7A
64581



CSF1R
1436



CSF2RA
1438



CSF2RB
1439



CSF3R
1441



CST3
1471



CYBA
1535



CYBB
1536



FCER1A
2205



FCGR2B
2213



FFAR2
2867



FGR
2268



FLT3
2322



FUT4
2526



GRN
2896



HVCN1
84329



IFI30
10437



IL10RA
3587



IL18RAP
8807



IL1RAP
3556



ITGAX
3687



LGALS12
85329



LGALS9
3965



LILRA1
11024



LILRA2
11027



LILRA5
353514



LILRA6
79168



LILRB1
10859



LILRB2
10288



LILRB3
11025



LMNB1
4001



LYZ
4069



MEFV
4210



MFGE8
4240



MPEG1
219972



MS4A6A
64231



NLRP12
91662



NLRP3
114548



NOD2
64127



NTSR1
4923



OSCAR
126014



PECAM1
5175



PLEK
5341



PRAM1
84106



PYHIN1
149628



RNASE3
6037



RNASE6
6039



S100A8
6279



S100A9
6280



S1PR5
53637



SECTM1
6398



SEMA4A
64218



SERPINB9
5272



SIGLEC10
89790



SLC11A1
6556



SLITRK4
139065



SPI1
6688



THBD
7056



TLR2
7097



TNFRSF1B
7133



TNFSF14
8740



TREM1
54210



TREML2
79865



TREML4
285852



UNC93B1
81622



VENTX
27287



VSTM1
284415










Co-Expressed Myeloid Subpopulations Venn Diagrams












PBMC/Lung/BAL










GeneSymbol
EntrezID














ADAMDEC1
27299



AIF1
199



APOC1
341



C1QA
712



C1QB
713



C1QC
714



C2
717



C4BPA
722



C6
729



CCL18
6362



CCL2
6347



CCL7
6354



CCL8
6355



CD80
941



CLEC4E
26253



CXCL10
3627



CXCL11
6373



FCER1G
2207



FCGR1A
2209



FCGR2A
2212



FCGR2C
9103



FOLR2
2350



IGSF6
10261



IL18
3606



IL1A
3552



IL1RN
3557



LILRB4
11006



LILRB5
10990



LY86
9450



MNDA
4332



MS4A4A
51338



MSR1
4481



OTOF
9381



PILRA
29992



SERPING1
710



SIGLEC5
8778



TNF
7124



TNFSF13B
10673



TYROBP
7305



VSIG4
11326




















PBMC/Lung










GeneSymbol
EntrezID














ADGRE2
30817



APOBEC3B
9582



APOBR
55911



BST1
683



CD14
929



CD300E
342510



CD33
945



CFD
1675



CFP
5199



CLEC12A
160364



CLEC12B
387837



CLEC4A
50856



CLEC4D
338339



CLEC7A
64581



CSF2RB
1439



CSF3R
1441



CST3
1471



CYBA
1535



CYBB
1536



FCGR2B
2213



FGR
2268



GRN
2896



IL1RAP
3556



ITGAX
3687



LGALS9
3965



LILRA5
353514



LILRA6
79168



LILRB1
10859



LILRB2
10288



LILRB3
11025



LMNB1
4001



LYZ
4069



MPEG1
219972



MS4A6A
64231



NLRP3
114548



PLEK
5341



S100A8
6279



S100A9
6280



SECTM1
6398



SEMA4A
64218



SERPINB9
5272



SPI1
6688



TLR2
7097



TREM1
54210



TREML4
285852



UNC93B1
81622




















PBMC/BAL










GeneSymbol
EntrezID














C5
727



CD163
9332



CD300LF
146722



CD68
968



CLEC5A
23601



CLEC6A
93978



CXCL2
2920



CXCL9
4283



FCGR1B
2210



LYVE1
10894



MARCO
8685



MERTK
10461



MRC1
4360



RNASE7
84659



SCARB1
949



SIGLEC1
6614



SIGLEC7
27036



SKAP2
8935



TGM2
7052



TLR8
51311



TNFAIP8L2
79626




















LUNG/BAL










GeneSymbol
EntrezID














APOBEC3G
60489



CHI3L1
1116



CLEC2B
9976



CXCL1
2919



CXCL8
3576



CXCR2
3579



FCGR3A
2214



FCGR3B
2215



IL1B
3553



IL23A
51561



LAMP3
27074



LGALS9C
654346



OLR1
4973



PDCD1LG2
80380



SIGLEC14
1E+08



SLPI
6590



TNIP3
79931




















PBMC










GeneSymbol
EntrezID














AOAH
313



C1RL
51279



C4A
720



C4B
721



CD101
9398



CD209
30835



CD300C
10871



CLEC10A
10462



CLEC16A
23274



CSF1R
1436



CSF2RA
1438



FLT3
2322



FUT4
2526



HVCN1
84329



IFI30
10437



IL10RA
3587



LGALS12
85329



LILRA1
11024



LILRA2
11027



MEFV
4210



MFGE8
4240



NLRP12
91662



NOD2
64127



NTSR1
4923



OSCAR
126014



PECAM1
5175



PRAM1
84106



RNASE3
6037



RNASE6
6039



SIGLEC10
89790



SLC11A1
6556



SLITRK4
139065



THBD
7056



TNFRSF1B
7133



VENTX
27287



VSTM1
284415




















LUNG










GeneSymbol
EntrezID














ADGRE1
2015



C4BPB
725



C8A
731



CCL22
6367



CHIT1
1118



CLEC1A
51267



CSF2
1437



CXCL13
10563



FFAR2
2867



IFNL1
282618



IL12B
3593



IL18RAP
8807



IL20
50604



IL27
246778



S1PR5
53637



TNFSF14
8740




















BAL










GeneSymbol
EntrezID














ACE
1636



ADGRE3
84658



C1R
715



CCL28
56477



CD5L
922



IK
3550



LGALS9B
284194



SLAMF8
56833



STAP2
55620










Example 2: Comprehensive Transcriptomic Analysis of COVID-19 Blood, Lung, and Airway

SARS-CoV2 may refer to an uncharacterized coronavirus and causative agent of the COVID-19 pandemic. The host response to SARS-CoV2 has not yet been fully delineated, hampering a precise approach to therapy. To address this, a comprehensive analysis of gene expression data from the blood, lung, and airway of COVID-19 patients was performed. The results obtained indicate that COVID-19 pathogenesis is driven by populations of myeloid-lineage cells with highly inflammatory but distinct transcriptional signatures in each compartment. The relative absence of cytotoxic cells in the lung indicates a model in which delayed clearance of the virus may permit exaggerated myeloid cell activation that contributes to disease pathogenesis by the production of inflammatory mediators. The gene expression profiles may also identify potential therapeutic targets that may be modified with available drugs. The results and data indicate that transcriptomic profiling can provide an understanding of the pathogenesis of COVID-19 in individual patients.


Coronaviruses (CoV) generally refer to a group of enveloped, single, positive-stranded RNA viruses causing mild to severe respiratory illnesses in humans (Refs. 1-3). In the past two decades, three worldwide outbreaks have originated from CoVs capable of infecting the lower respiratory tract, resulting in heightened pathogenicity and high mortality rates. There is currently a global pandemic stemming from a third CoV strain, severe acute respiratory syndrome coronavirus 2 (SARS-CoV2), the causative agent of coronavirus disease 2019 (COVID-19). In the majority of cases, patients exhibit mild symptoms, whereas in more severe cases, patients may develop severe lung injury and death from respiratory failure (Refs. 4-5).


At this time, there is still incomplete information available regarding the host response to SARS-CoV2 infection and the perturbations resulting in a severe outcome. Despite this, clues can be derived from our knowledge of the immune response to infection by other respiratory viruses, including other CoVs. After infection, viruses are typically detected by pattern recognition receptors (PRRs) such as the inflammasome sensor NLRP3, which signal the release of interferons (IFNs) and inflammatory cytokines including the IL-1 family, IL-6, and TNF, that activate a local and systemic response to infection (Refs. 6-7). This involves the recruitment, activation, and differentiation of innate and adaptive immune cells, including neutrophils, inflammatory myeloid cells, CD8 T cells, and natural killer (NK) cells (Ref 8). Resolution of infection may be largely dependent on the cytotoxic activity of CD8 T cells and NK cells, which enable clearance of virus-infected cells (Ref 8). Failure to clear virus-infected cells may facilitate a hyper-inflammatory state termed Macrophage (M1) activation syndrome (MAS) or “cytokine storm”, and ultimately damage to the infected lung (Refs. 9-10).


The recent emergence of SARS-CoV2 and the relative lack of comprehensive knowledge regarding the progression of COVID-19 disease has constrained the ability to develop effective treatments for infected patients. One approach to obtain a more complete understanding of the host response to SARS-CoV2 is to examine gene expression in relevant tissues. A limited number of gene expression profiles may be available from patients with COVID-19 and have yielded some insights into the pathogenic processes triggered by infection with SARS-CoV2 (Refs. 11-13). However, because of the small number of samples and limited analysis, a comprehensive understanding of the biological state of SARS-CoV2-affected tissues may not be available. Recognizing this need, the present disclosure provides an analysis and assessment of available SARS-CoV2 gene expression datasets from blood, lung, and airway using a number of orthogonal bioinformatic tools to provide a more complete view of the nature of the COVID-19 inflammatory response and the potential points of therapeutic intervention.


Gene expression analysis of blood, lung, and airway of COVID-19 patients was performed as follows. To characterize the pathologic response to SARS-CoV2 infection, transcriptomic data was analyzed from peripheral blood mononuclear cells (PBMCs) and postmortem lung tissue of COVID-19 patients and healthy controls as well as bronchoalveolar lavage (BAL) fluid of COVID-19 patients (CRA002390, GSE147507, FIGS. 25A-25D) (Refs. 11-12). First, changes in gene expression were determined in the blood (PBMC-CTL vs PBMC-CoV2) and lung (Lung-CTL vs Lung-CoV2). Because no control BAL fluids were associated with the BAL-CoV2 samples, BAL-CoV2 was compared to PBMC-CoV2 from the same dataset to avoid effects related to batch and methodology. Overall, a set of 4,245 differentially expressed genes (DEGs) in the blood (2,166 up and 2,079 down), 2,220 DEGs in the lung (684 up and 1,536 down), and 8,952 DEGs in the airway (BAL) (4,052 up and 4,900 down) were determined (Table 6).


Conserved and differential enrichment of inflammatory cells and pathways in COVID-19 patients was analyzed as follows. To interrogate pathologic pathways in the 3 compartments, Gene Set Variation Analysis (GSVA) was performed utilizing a number of informative gene modules (Refs. 14-15) (FIG. 17). Numerous innate immune response pathways were increased in all 3 compartments, whereas adaptive immune signatures tended to be decreased in blood and airway, but not lung (Refs. 11-12 and 16). Although heterogeneity was observed in all compartments, closer examination revealed consistent perturbations. In the blood, the classical and lectin-induced complement pathways, as well as the NLRP3 inflammasome, plasma cells (PCs), and monocytes (Mo) were significantly enriched in COVID-19 patients, whereas cytotoxic cells and neutrophils were decreased. In the lung, the NLRP3 inflammasome, Mo and myeloid cells were enriched in COVID-19 patients. In addition, although the general granulocyte signature was not significantly increased, a specific low-density granulocyte (LDG) signature (Ref 17) and gene sets of inflammatory and suppressive neutrophils derived from COVID-19 blood were enriched in the lung (Refs. 18-19). In the airway, the classical and alternative complement pathways were enriched and T cells and cytotoxic cells were decreased.


Although there is conflicting data on the presence of an IFN gene signature (IGS) and whether SARS-CoV2 infection induces a robust IFN response (Refs. 12-13 and 20), increased expression was observed of Type I IFN genes (IFNA4, IFNA6, IFNA10), and significant enrichment was observed of the common Type I and Type II IGS, including enrichment of IFNA2, IFNB1 and IFNG gene signatures specifically in the lung tissue (FIGS. 18A-18B). Furthermore, increased expression was detected of genes found to be important for the anti-viral innate immune response (IFIH1, DDX58, EIF2AK2, OAS2), and decreased expression was detected of negative regulators of this response (IRF2BP1, SKIV2L) in both the lung and airway compartments (FIG. 18C) (Ref 21). Interestingly, expression of MAVS, a signaling adaptor for RNA virus sensors, was observed to be decreased in the airway, which is consistent with the reported effect of SARS-CoV2 and may reflect a mechanism of viral immune evasion (Refs. 22-23).


Increased expression of inflammatory mediators in the lungs of COVID-19 patients was analyzed as follows. To examine the nature of the inflammatory response in the tissue compartments in greater detail, specific DEGs of interest (FIG. 19, sections a and b) were examined. In the blood, increased expression was observed of the inflammatory chemokine CXCL10, which is an IFNG response gene and involved in the activation and chemotaxis of peripheral immune cells, (Ref 24), the chemokine receptor CCR2, which may be critical for immune cell recruitment in response to respiratory viral infection (Ref 25), as well as the inflammatory IL-1 family member, IL18. Expression of a number of chemokines, including ligands for CCR2, were significantly increased in both the lung tissue and airway of COVID-19 patients, including CCL2, CCL3L1, CCL7, CCL8, and CXCL10. Elevated pro-inflammatory IL-1 family members, ILIA and IL1B, were also observed in these 2 compartments. Furthermore, lung tissue exhibited enrichment of the IL-1 cytokine gene signature, whereas the airway exhibited additional expression of IL18, IL33, IL36B, and IL36G.


It was observed that non-hematopoietic cells in the BAL fluid may be indicative of viral-induced damage, as follows. To determine whether viral infection resulted in modification of resident tissue populations, GSVA was performed with various non-hematopoietic cell gene signatures (FIG. 19C). It was observed that signatures of various lung tissue cells but not endothelial cells were enriched in the airway, but not the lung of COVID-19 subjects. Additionally, increased expression was detected of the viral entry genes ACE2 and TMPRSS2, which are typically expressed on lung epithelium (Ref. 26) (FIG. 19D).


It was observed that protein-protein interactions identify myeloid subsets in COVID-19 patients, as follows. An unbiased, protein-protein interaction (PPI)-based clustering approach was utilized to assess the inflammatory cell types within each tissue compartment. PPI networks predicted from DEGs were simplified into metastructures defined by the number of genes in each cluster, the number of significant intra-cluster connections, and the number of associations connecting members of different clusters to each other (FIG. 20A-20C). Overall, upregulated PPI networks identified numerous specific cell types and functions. In the blood, cluster 8 was dominated by a Mo population expressing C2, C5, CXCL10, CCR2, and multiple IFN-stimulated genes, whereas cluster 3 contained hallmarks of alternatively activated (M2) MΦs and/or myeloid-derived suppressor cells (MDSCs), including CD33, CD36, CD93, and ITGAM (FIG. 20A). Smaller immune clusters were indicative of functions, including inflammasome activation, damage-associated molecular pattern (DAMP) activity, the classical complement cascade and the response to Type II IFNs. Myeloid heterogeneity in the blood was also reflected by the presence of multiple metabolic pathways, such as enhanced oxidative phosphorylation (OXPHOS) in cluster 1 linked to M2-like MΦs in cluster 3 (mean interaction score of 0.875), and glycolysis in clusters 7 and 13 connected to activated Mo in cluster 8 (interaction scores of 0.86 and 0.82, respectively). Consistent with our GSVA results, blood exhibited profoundly decreased T cells determined by the downregulation of T cell activation markers CD28, LCK and ITK (FIG. 17, section a).


In addition to the various Mo/myeloid populations, lung tissue was infiltrated by LDGs, granulocytes, T cells, and B cells. Metabolic function in the lung was varied, with Mo-enriched clusters (1 and 7) linked to glycolysis in cluster 18 (interaction scores of 0.74 and 0.87, respectively) potentially reflecting cellular activation, whereas OXPHOS was predominantly downregulated along with other nuclear processes (transcription and mRNA processing) (FIG. 20B; FIG. 17, section b). The airway was enriched in inflammatory Mo, mitochondrial function and transcription. Multifunctional cluster 4 was dominated by numerous chemokine and cytokine receptor-ligand pairs, whereas smaller immune clusters were enriched in classical complement activation, IFNG and IL-1 responses. (FIG. 20C). Consistent with tissue damage, numerous small clusters were observed in the airway, reflecting the presence of non-hematopoietic cells, including those containing multiple intermediate filament keratin genes, cell-cell adhesion claudin genes and surfactant genes. Notably, non-hematopoietic cell signatures in the airway were similar in content to those derived from in vitro SARS-CoV-2-infected primary lung epithelial cell lines (NHBE) (Ref. 12) (FIG. 17, section d).


Given the large number of clusters including Mo/myeloid/MΦ, next these clusters were examined in greater detail by altering the stringency of PPI clustering to further characterize unique myeloid lineage cells within each tissue compartment (FIG. 20D-20F). Myeloid lineage-specific clusters were then compared to pre-determined gene signatures, including populations G1-G4 reported in BAL of COVID-19 patients (Ref. 27) (FIG. 18A). In the blood, gene modules representative of common myeloid function (chemotaxis, proteolysis, etc.), as well as two independent Mo/myeloid subpopulations (FIG. 20D), were detected. Cluster 6 contained numerous markers highly reminiscent of classically activated blood Mo and exhibited significant overlap with the inflammatory G1 population, whereas cluster 1 was similar to IFN-activated MΦs, CX3CR1+ synovial lining MΦs (from arthritic mice) and alveolar MΦs (AM) (FIG. 18A).


In the lung (FIG. 20E), clusters 2, 3, and 6 overlapped with the G1 inflammatory Mo population and expressed a number of chemotaxis genes. A second population characteristic of AMs was also evident in the lung, defined by CSF2RB, the receptor for GM-CSF, a cytokine that regulates AM differentiation (Refs. 8 and 28-29). Further characterization of this population indicated significant expression of the coagulation system genes F5, FGG, FGL1, SERPINA, and SERPINE2. Similarly, re-clustering of Mo/MΦs/myeloid clusters from the airway revealed a population with hallmarks of inflammatory/M1 MΦ (MARCO and multiple members of the complement cascade; cluster 7), and a second population of AMs (FIG. 20F) demonstrating significant overlap with the G3 and G4 populations (FIG. 18A) (Ref. 27).


Characterization of myeloid populations in COVID-19 patients was performed as follows. The overlap between characterized BAL-defined gene signatures from COVID-19 patients (Ref. 27) and tissue-defined PPI clusters motivated an evaluation of these populations in greater detail by GSVA. Consistent with PPI clusters, the inflammatory-MΦ G1 population was increased in the blood (FIG. 18B). The G1 and G1 & G2 populations were increased in the lung, consistent with the expression of IFN and pro-inflammatory cytokines (FIG. 18C). In the airway, the G2, G3, and G4 populations were significantly enriched indicating the presence of both pro-inflammatory MΦs and AMs (FIGS. 18A-18C). As a whole, it was found that gene signatures of defined Mo/MΦ populations in COVID-19 BAL were dispersed among the blood, lung, and airway compartment.


It was observed that co-expression further delineates Mo/MΦ gene expression profiles of COVID-19 patients, as follows. Next, the biology of the populations of Mo/MΦ in the tissue compartments were examined in greater detail. A set of 196 co-expressed Mo/myeloid genes was derived and used (FIG. 19, Tables 7A-7C) to probe heterogeneity in each tissue compartment (FIG. 21A). Notably, co-expression of 40 core genes was observed between all compartments, which included complement, chemokine, and cytokine genes (FIG. 21B). In addition, there were 86 shared co-expressed genes in lung and blood, 57 in the lung and airway, and 61 in the airway and blood (FIG. 21B). To directly compare levels of these 196 co-expressed myeloid genes in each compartment, gene expression was normalized in each sample using 3 genes included in the core 40 genes, (FCGR1A, FCGR2A, FCGR2C) (FIG. 21C). Although many genes were not significantly different between compartments, numerous chemokines and cell surface markers (CCL2, CCL7, CCL8, CXCL10, CLEC4E, FCER1G) and inflammatory cytokines (IL1A and TNF) were enriched in the lung compared to the blood and airway. Furthermore, the complement genes C1QB, C1QC, and C2 were increased in the lung compared to the blood, but not changed between the lung and the airway. Altogether, these normalized gene expression results indicated that expression of inflammatory mediators was increased in SARS-CoV2-infected lung over the other compartments and in the airway compared to the blood.


To determine the function and nature of these myeloid populations, they were compared to other myeloid signatures (FIG. 21D) (Refs. 27 and 30-33). The population increased in the blood (A1) was predominantly characterized by features of AMs, M1 and M2 MΦs, pro-inflammatory MΦs with potential to infiltrate tissue, and the inflammatory MΦ G1 population. The A1 population also exhibited features of inflamed murine residential, interstitial MΦs. The myeloid cell population increased in COVID lung (A2) was most similar to pro-fibrotic AMs, M1 MΦs, M2 MΦs, blood-derived infiltrating MΦs, and the inflammatory Mo G1 population. A2 was also marked by additional AM-specific genes, contributing to the observed overlap with the other two compartments. However, overlap between A2 and the G4 AM signature was relatively decreased, suggesting that the lung AMs are more similar to those found in pulmonary fibrosis (Ref 30). Finally, the population increased in the airway (A3) similarly exhibited characteristics of AMs, M1 and M2 MΦs, and pro-inflammatory MΦs that have infiltrated into the tissue compartment (FIG. 21D). Of note, the airway A3 population was not similar to the BAL-derived inflammatory MΦ G1 population (Ref. 27).


Also, the overlap between the Mo/MΦ A1-A3 gene clusters and those identified using PPI clustering (FIGS. 20A-20F; FIG. 21E) was evaluated. Interestingly, the CD33+ pathogenic population (PPI-derived PBMC Myeloid Cluster 1) was most strongly enriched in the blood, but was also increased in the other compartments. All compartments were characterized by strong enrichment of pro-inflammatory Mo (PBMC Myeloid Cluster 6, Lung Myeloid Clusters 3 and 6, and BAL Myeloid Cluster 7), although A3 exhibited some differences in these populations compared to A1 and A2. Additionally, this comparison suggested enrichment of AMs in all three compartments; however, upon examination of the specific overlapping gene transcripts, the observed enrichment in blood A1 was primarily related to the presence of non-AM-specific myeloid genes. Finally, numerous common activators and functions of PPI-derived clusters were enriched uniformly across A1, A2, and A3, providing further evidence for pro-inflammatory activity of myeloid cell populations in COVID-19 blood and tissue compartments.


Trajectory analysis was performed to understand potential transitions of Mo/MΦ in various tissue compartments. This was based on the normalized 196 myeloid-cell specific genes, as well as 425 additional normalized genes that may be important in Mo/myeloid/MΦ cell differentiation, reflective of chemotaxis, IFN, and metabolism genes. This analysis suggested a branch point of differentiation of Mo/MΦ between blood and lung, with some blood Mo/MΦ differentiating directly to airway cells and others to lung cells in a more protracted manner as indicated by pseudotime (FIG. 21F).


Analysis of the biologic activities of myeloid subpopulations was performed as follows. To focus on functional distinctions among the co-expressed myeloid populations in the blood, lung, and airway compartments (A1-A3), linear regression analyses were utilized between GSVA scores for A1-A3 and scores for metabolic, functional, and signaling pathways (FIG. 22; FIGS. 20A-20F). Blood A1 was significantly correlated with glycolysis, the NLRP3 inflammasome, and the classical and lectin-induced complement pathways. In lung A2, there were no significant correlations detected with metabolism, but this population was significantly correlated with the NLRP3 inflammasome and the alternative complement pathway. Finally, airway A3 was positively correlated with OXPHOS, the classical complement pathway, and TNF signaling and negatively correlated with apoptosis. Overall, these results delineated the heterogeneity in metabolic and inflammatory pathways among myeloid cells enriched in the blood, lung, and airway of COVID-19 patients.


It was observed that pathway and upstream regulator analysis inform tissue-specific drug discovery for treatment of COVID-19, as follows. To understand the biology of SARS-CoV2-infected patients in greater detail, pathway analysis was conducted on DEGs from the 3 compartments using IPA canonical signaling pathway and upstream regulator (UPR) analysis functions (FIGS. 23A-23B). In general, IFN signaling, the inflammasome, and other components of anti-viral, innate immunity were reflected by disease state gene expression profiles compared to healthy controls (FIG. 23A). In addition, metabolic pathways including OXPHOS and glycolysis were significantly increased in the blood of COVID-19 patients compared to controls.


UPRs predicted to drive the responses in each compartment indicated uniform involvement of inflammatory cytokines, with Type I IFN regulation dominant in the SARS-CoV2-infected lung (FIG. 23B). Notable UPRs of COVID-19 blood included IFNA, IFNG, multiple growth factors and ligands, HIF1A, CSF1 and CSF2. Evidence of inflammatory cytokine signaling by IL17 and IL36A was predicted in COVID-19 lung and airway compartments. Whereas the airway DEG profile indicated regulation by both inflammatory and inhibitory cytokines, the COVID-19 lung UPRs were markedly inflammatory, including, NFκB, IL12, TNF, IL1B, and multiple Type I IFNs. These proinflammatory drivers were consistent in each individual lung which were analyzed separately because of the apparent heterogeneity between the lung samples (FIGS. 21A-21F).


IPA analysis was also employed to predict drugs that might interfere with COVID-19 inflammation (FIG. 23B, Tables 8A-8B). Of note, neutralizers of IL17, IL6, IL1, IFNA, IFNG, and TNF were predicted as antagonists of COVID-19 biology. Corticosteroids were predicted to revert the gene expression profile in the SARS-CoV-2-infected lung, but were predicted as UPRs of COVID-19 blood, which may indicate that the patients from whom blood was collected had been treated with corticosteroids rather than indicating that these agents were driving disease pathology. Chloroquine (CQ) and hydroxychloroquine (HCQ) were additionally predicted to revert the COVID-19 transcription profile in the lung, which may point to their potential utility as treatment options. A number of drugs matched to unique targetable pathways in the lung, including NFκB pathway inhibitors and neutralizers of the TNF family; however, some drugs also targeted pathways shared by both the lung and airway, including JAK inhibitors. In the BAL-CoV2 vs. PBMC-CoV2 IPA comparison, several drugs were matched to UPRs with a negative Z-score, which provided additional therapeutic options directed towards the blood of patients with COVID-19, given that molecules targeting downregulated or inhibited UPRs are molecules that could normalize the PBMC-CoV2 gene signature. As such, several possible therapeutics arose from this analysis to target COVID-19 blood, including ustekinumab, targeting the IL12/23 signaling pathway, and lenalidomide, which have immunosuppressive effects. In addition, IGF1R inhibitors, EGFR inhibitors, VEGFR inhibitors, and AKT inhibitors were among the compounds predicted to target COVID-19 PBMCs. No specific drugs were predicted to target all three tissue compartments, but each compartment was driven by inflammatory cytokines.


Another approach to predict possible drug targets is by employing connectivity scoring with drug-related gene expression profiles using the perturbagen CMAP database within CLUE (Tables 8A-8B). Although CLUE-predicted drugs tended to differ from those predicted by IPA or those matched to IPA-predicted UPRs, there were some overlapping mechanisms, including inhibition of AKT, angiogenesis, CDK, EGFR, FLT3, HSP, JAK, and mTOR. IPA-predicted drugs that were unique from connectivity-predicted drugs tended to capture more cytokine and lymphocyte biology, including inhibitors of IL1, IL6, IL17, TNF, type I and II interferon, CD40LG, CD38, and CD19, among other cytokines and immune cell-specific markers. Overall, the gene expression-based analysis of SARS-CoV2-infected blood and tissue compartments indicated several existing treatment options that may be evaluated as candidates to treat COVID-19, and subsequently administered to patients having COVID-19.


Multiple orthogonal bioinformatics approaches were employed to analyze DEG profiles from the blood, lung, and airway of COVID-19 patients, and revealed the dynamic nature of the inflammatory response to SARS-CoV-2 and possible points of therapeutic intervention. In the blood, evidence was seen of myeloid cell activation, lymphopenia, and elevation of plasma cells, as has been shown by both standard cell counts, flow cytometry and gene expression analysis (Ref 34). In the lungs, increased gene signatures were found of additional myeloid cell types including granulocytes, infiltrating inflammatory Mo, and AMs as well as the presence of non-activated T, B, and NK cells. Furthermore, inflammation in the lung tissue was enhanced by the greater presence of IFNs and more pro-inflammatory cytokines than observed in the blood. Finally, in the airway evidence was found of blood and AM-derived inflammatory and regulatory MΦs, and non-hematopoietic lung tissue cells accompanied by expression of SARS-CoV-2 receptors, and alarmins, indicative of viral infection and damage to the lung and consistent with detection of SARS-CoV2 in BAL fluid (Refs. 11 and 35). Together these findings indicate a systemic, but compartmentalized immune and inflammatory response with specific signs of cellular activation in blood, lung, and airway. This has informed a more comprehensive and integrated model of the nature of the local and systemic host response to SARS-CoV2.


The predominant populations of immune cells found to be enriched and activated in COVID-19 patients were myeloid cells and, in particular, subsets of inflammatory Mo and MΦs, which differed between the blood, lung, and airway compartments. In the peripheral blood, significant enrichment of Mo was found, including classically activated inflammatory M1 MΦs as well as a CD33+ myeloid subset, which appeared to be an M2 population reminiscent of characterized IFN-activated MΦs, AMs, and MDSCs, indicative of a potential regulatory population induced by stimuli arising from the SARS-CoV2-infected lung. Myeloid cells enriched in the blood of COVID-19 patients were also highly correlated with gene signatures of metabolic pathways (Glycolysis, Pentose Phosphate Pathway, and TCA cycle) indicative of pro-inflammatory M1 MΦs (Ref. 36).


The lung tissue was enriched in gene signatures of Mo/MΦs as well as other myeloid cells including two populations of granulocytes, neutrophils and LDGs. Increases in blood neutrophils may be associated with poor disease outcome in COVID-19 patients, and the formation of neutrophil extracellular traps (NETs) may contribute to increased risk of death from SARS-CoV2 infection (Refs. 37-39). In addition, populations of dysregulated neutrophils expressing pro-inflammatory or suppressive markers derived from scRNA-seq of COVID-19 patient PBMCs may be characterized and found to be positively correlated with disease severity (Refs. 18-19). These populations were found to be also increased in SARS-CoV2 infected lung tissue and, therefore, indicate that they may contribute to lung pathology. Although LDGs have not been reported in the COVID-19 lung, in comparison to neutrophils, they exhibit an enhanced capacity to produce Type I IFNs and form NETs and therefore, may have an even greater impact on disease progression (Ref 40).


Mo/MΦ subsets in the lung of COVID-19 patients were characterized as infiltrating inflammatory Mo and activated AMs, which exhibited a mixed metabolic status suggestive of different states of activation. Infiltrating Mo from the peripheral blood appeared to be further activated in the lung tissue as evidenced by enhanced expression of markers of highly inflammatory Mo characterized in severe COVID-19 cases (Ref 27). The AM population enriched in COVID lung tissue clustered with genes involved in the coagulation system, which is consistent with observations of procoagulant AM activity in COVID-19 and in ARDS (Ref. 41). As pulmonary thrombosis has been associated with poor clinical outcomes in COVID-19 patients, this result indicates that activated AMs in SARS-CoV2-infected lung tissue may be involved in facilitating a pro-thrombotic status, and thereby, contribute to poor disease outcome (Ref 42). Finally, a trend was noted toward an increase in platelets specifically in the COVID-19 lung, indicating that they may also contribute to thrombosis in some patients.


In the airway, gene signatures were detected of various post-activated MΦ subsets including inflammatory M1 MΦs, alternatively activated M2 MΦs, and activated AMs. Expression of myeloid cell genes in the airway also correlated with a signature of oxidative metabolism, which is characteristic of M2 macrophages and typically associated with control of tissue damage (Ref. 36). However, in the context of pulmonary infection, polarization of AMs toward an anti-inflammatory M2 phenotype was found to promote continued inflammation, suggesting that these MΦs may not be effective at resolving anti-viral immunity (Ref. 43).


In addition to myeloid cells, inflammatory mediators from the virally infected lung typically promote migration and activation of NK cells and adaptive immune cells including T and B cells (Ref 8). Significant deficiencies were found in gene signatures of T cells and cytotoxic CD8 and NK cells, consistent with clinical evidence of lymphopenia in the peripheral blood and airway of COVID-19 patients (Refs. 44-47). In contrast to T and NK cells, increased evidence was observed of B cell activation through CD40/CD40L and an increased plasma cell signature in the blood of COVID-19 patients. This result indicates that COVID-19 patients are able to mount an antibody-mediated immune response. However, whether a virus-specific antibody response is beneficial to recovery from SARS-CoV2 infection may be unclear (Ref. 48). Low quality, low affinity antibody responses to SARS-CoV may promote lung injury in some patients, although it may be unknown if this occurs in SARS-CoV2 infected individuals (Refs. 49-50).


The contents of the airway as assessed through the BAL fluid, act as a window into events in the alveoli and airways and can be used to understand what is happening in the infected tissue that is separate from the interstitium of the lung (Refs. 51-52). Increased enrichment was found of lung epithelial cells in the airway of COVID-19 patients, indicating that SARS-CoV2 infection of alveolar cells together with localized inflammation as a result of enhanced myeloid cell infiltration promote significant damage to the alveoli and result in affected cells being sloughed into the airway. Furthermore, the lack of cytotoxic cells and thus, the inability to clear these virus-infected lung epithelial cells in the airway likely accounts for the increased presence of post-activated MΦs and high expression of pro-inflammatory IL-1 family members observed in the BAL of COVID-19 patients. Importantly, these results indicate that sampling of BAL may provide an important mechanism to evaluate the impact of SARS-CoV2 infection.


DEGs from COVID-19 patients were enriched in IGS, complement pathways, inflammatory cytokines and the inflammasome, which may be expected to activate Mo/MΦ populations in the blood, lung, and airway of COVID-19 patients and initiate a robust and systemic response to infection. In particular, these results indicate that IL-1 family-mediated inflammation plays a critical role in COVID-19 pathogenesis. However, pro-inflammatory genes identified via GWAS as contributing to COVID-19 inflammation, including CCR2, CCR3, CXCR6, and MTA2B, were not significantly different from controls in the lung dataset (Ref 53). Thus, in contrast to characterizations of both SARS-CoV and SARS-CoV2 infection, these analyses did not indicate the presence of overwhelming pro-inflammatory cytokine production or “cytokine storm” in COVID-19 patients (Refs. 34 and 54). Rather, these data indicates that the increased numbers, overactivation, and potentially heightened pathogenicity of monocyte/MΦ populations are the main drivers of the dysregulated inflammatory response and resulting tissue damage in COVID-19 patients.


In the absence of proven antiviral treatment and/or a SARS-CoV2-specific vaccine, disease management may be reliant upon supportive care and therapeutics capable of limiting the severity of clinical manifestations. Using empiric evidence as a guide, the current approach may be successful in identifying “actionable” points of intervention in an unbiased manner and in spite of formidable patient heterogeneity. Analyses presented here support COVID-19 infection-related increases in inflammatory cytokines, particularly IL6 and TNF, both of which function as predictors of poor prognosis (Refs. 55-56), as well as complement activation (Refs. 37 and 57-58). Accordingly, anti-IL6 therapies including sarilumab, tocilizumab and clazakizumab, as well as biologics targeting terminal components of the complement cascade, such as eculizumab and ravulizumab, are in various clinical trial phases for treating COVID associated pneumonia. Candidate TNF blockers such as adalimumab, etanercept and many others, represent additional options for inhibiting deleterious pro-inflammatory signaling. However, most showed patient heterogeneity, indicating a requirement to identify the specific cytokine profile in each patient in order to offer personalized treatment. Our analyses also indicate the likely involvement of pro-inflammatory IL1 family members especially in the lung, suggesting anti-IL1 family interventions, including canakinumab and anakinra, may be effective in preventing acute lung injury.


This analysis also establishes the predominance of inflammatory Mo/myeloid lineage cells in driving disease pathology and indicates therapies effective at blocking myeloid cell recruitment or forcing repolarization may prevent disease progression. CCL5 (RANTES) is a potent leukocyte chemoattractant that interacts with multiple receptors, including CCR1 (upregulated in the blood, lung and airway), and CCR5 (upregulated in the airway). Disruption of the CCR5-CCL5 axis may be tested using the CCR5 neutralizing monoclonal antibody leronlimab in a compassionate use trial (Ref 59).


It may be observed that COVID-19 may predispose patients to thromboembolic disease (Refs. 60-61). Indeed, the gene expression analyses presented here showing altered expression of coagulation factors and fibrinogen genes indicate dysfunction within the intrinsic clotting pathway. These findings, together with evidence of excessive inflammation, complement activation and the involvement of LDGs in lung inflammation, may contribute to the systemic coagulation underlying the remarkably high incidence of thrombotic complications observed in severely ill patients, thereby reinforcing recommendations to apply pharmacological anti-thrombotic medications.


Further, anti-rheumatic drugs may be used for managing COVID-19. For example, CQ is a compound predicted as a UPR with potential phenotype-reversing properties. In vitro experiments examining the anti-viral properties of CQ and its derivative HCQ were effective in limiting viral load; however, the efficacy of these drugs in clinical trials has been less clear (Ref. 62). Questions about drug timing, dosage and adverse events may call into question the use of these drugs for COVID-19 patients. Despite results showing no negative connectivity between the gene signatures of SARS-CoV2 infection and HCQ treatment (Ref. 35), IPA predicted a role of anti-malarials as limiting the function of intracellular TLRs in the lung and also as a direct negative UPR of gene expression abnormalities in the lung, indicating a role in controlling COVID-19 inflammation and not viral replication. Further clinical testing may be performed to establish this possible utility; subsequently, these anti-malarials may be administered to COVID-19 patients to treat disease.


By comparing the transcriptomic profile of the blood, lung, and airway in COVID-19 patients, a model of the systemic pathogenic response to SARS-CoV2 infection has emerged (FIG. 24). SARS-CoV2 infection leads to systemic Mo/MΦ activation, likely as a result of the release of pro-inflammatory mediators from infected cells. Infiltration of immune cells into the lung tissue and alveolus, in particular, neutrophils, LDGs, and pathogenic Mo/MΦ populations promotes a cycle of inflammatory mediator release and further myeloid cell activation, which exacerbates inflammation in the lung and leads to tissue damage. The local release of complement components and clotting factors by infiltrating Mo/MΦ may contribute to both inflammation and thrombotic events. As disease progresses, increased infiltration of pro-inflammatory immune cells, release of inflammatory mediators, and damage to the infected alveolus is reflected by the presence of Mo/MΦ cells and lung epithelial cells in the airway (Ref 51). Furthermore, evidence of both Mo-derived inflammatory MΦs and AMs in the airway compartment indicates that myeloid cell populations from both the blood and the lung tissue are present in the BAL. The accumulation of virus-infected cells and release of alarmins in the airway may not only reflect ongoing infection, but also promote inflammation and prevent resolution of the infection and foster the continuation of the innate immune response. Therefore, sampling the BAL fluid is an effective strategy to monitor tissue inflammation and damage in COVID-19 patients.


As SARS-CoV2 continues to propagate, viral clearance may be impaired by a lack of cytotoxic CD8 T cells and NK cells. This is consistent with MAS occurring in other settings, in which defects in cytotoxic activity of CD8 T cells and NK cells result in enhanced innate immune cell activation and intensified production of pro-inflammatory cytokines, many of which were also expressed in COVID-19 patients (Refs. 9-10). Thus, the results indicated that the lack of activated CD8 T cells and NK cells and subsequent failure to clear virus-infected cells, is a major contributor to the MΦ-driven pathologic response to SARS-CoV2 observed in COVID-19 patients.


In order to develop a model of SARS-CoV2 infection, multiple orthogonal approaches were utilized to analyze gene expression from COVID-19 patients. Heterogeneity among patients in any given cohort may have an increased impact on the overall outcome. One possible reason for this intra-cohort heterogeneity is that the patients may have exhibited varying levels of disease severity. Therefore, additional studies may be performed on more patients, such as by accounting for differences in demographic information and disease status, in order to increase the power of downstream analyses.


As shown, transcriptomic analysis has contributed critical insights into the pathogenesis of COVID-19. Diffuse Mo/MΦ activation is the likely primary driver of clinical pathology. Therefore, this work provides a rationale for placing greater focus on the detrimental effects of exaggerated activation of pathogenic Mo/MΦs and for targeting these populations as an effective treatment strategy for COVID-19 patients.


Ethics statement: publicly available data sets used in this study are listed in Table 5. For each dataset, all patient samples were collected in adherence to local regulations and after obtaining institutional review board approved informed consent. The study corresponding to accession number CRA002309 was approved by the Ethics Committee of the Zhongnan Hospital of Wuhan University. The study corresponding to accession number GSE147505 was approved by the institutional review board at the Icahn School of Medicine at Mount Sinai under protocol HS #12-00145.


Read quality, trimming, mapping and summarization were performed as follows. RNA-seq data were processed using a consistent workflow using FASTQC, Trimmomatic, STAR, Sambamba, and featureCounts. As described below SRA files were downloaded and converted into FASTQ format using SRA toolkit. Read ends and adapters were trimmed with Trimmomatic (version 0.38) using a sliding window, ilmnclip, and headcrop filters. Both datasets were head cropped at 6 bp and adapters were removed before read alignment. Reads were mapped to the human reference genome hg38 using STAR, and the .sam files were converted to sorted .bam files using Sambamba. Read counts were summarized using the featureCounts function of the Subread package (version 1.61).


The RNA-seq tools are all free, open source programs, as follows: SRA toolkit (github.com/ncbi/sra-tools); FastQC (www.bioinformatics.babraham.ac.uk/projects/fastqc/); Trimmomatic (www.usadellab.org/cms/?page=trimmomatic); STAR (github.com/alexdobin/STAR); labshare.cshl.edu/shares/gingeraslab/www-data/dobin/STAR/STAR.posix/doc/STARmanual.pdf; Sambamba (lomereiter.github.io/sambamba/); and FeatureCounts (subread.sourceforge.net).


Differential gene expression and gene set enrichment analysis were performed as follows. The DESeq2 workflow was used for differential expression analysis. Comparisons were made between control PBMCs and PBMCs from COVID-19 patients (PBMC-CTL vs. PBMC-CoV2) and control lung tissue and lung tissue from COVID-19 patients (Lung-CTL vs. Lung-CoV2). Since no corresponding control BAL samples were available for the COVID-19 BAL samples, BAL samples were compared from COVID-19 patients to COVID-19 PBMC (PBMC-CoV2 vs BAL-CoV2). This was possible because these samples were analyzed on the same platform, run at the same time. Also, normal BAL were compared to BAL of asthmatic individuals to identify genes unrelated to COVID-19 (PRJNA434133).


Two technical replicates were included for BAL cohort, and 4 technical replicates were included for postmortem lung samples. The replicates were collapsed and averaged into one using collapsereplicates function from DESeq2 package. The genes with low expression (i.e genes with very few reads) were removed by filtration. The filtered raw counts were normalized using the DESeq method and differentially expressed genes were determined by FDR<0.2 (Ref 63). Counts were then log 2 transformed and used for downstream analyses (Table 6).


Gene Set Variation Analysis (GSVA) was performed as follows. The GSVA (version 1.25.0) software package (Ref. 64) is an open source package available from R/Bioconductor and was used as a non-parametric, unsupervised method for estimating the variation of pre-defined gene sets in patient and control samples of microarray and RNA-seq expression data sets (www.bioconductor.org/packages/release/bioc/html/GSVA.html). The inputs for the GSVA algorithm were a gene expression matrix of log 2 expression values for pre-defined gene sets. All genes within a gene set were evaluated if the interquartile range (IQR) of their expression across the samples was greater than 0. Enrichment scores (GSVA scores) were calculated non-parametrically using a Kolmogorov Smirnoff (KS)-like random walk statistic and a negative value for a particular sample and gene set, indicating that the gene set has a lower expression than the same gene set with a positive value. The enrichment scores (ES) were the largest positive and negative random walk deviations from zero, respectively, for a particular sample and gene set. The positive and negative ES for a particular gene set depend on the expression levels of the genes that form the pre-defined gene set. GSVA calculates enrichment scores using the log 2 expression values for a group of genes in each SARS-CoV2 patient and healthy control and normalizes these scores between −1 (no enrichment) and +1 (enriched). Welch's t-test was used to calculate the significance of the gene sets between the cohorts. Significant enrichment of gene sets was determined by p-value <0.05.


Derivation of GSVA Gene Sets was performed as follows. Cellular and inflammatory modules and IFN-induced gene sets were derived (Refs. 14-15). Additional inflammatory pathways (NLRP3 Inflammasome, Classical Complement, Alternative Complement, and Lectin-induced Complement were curated from the Molecular Signatures Database. Other signatures were derived (Refs. 27, 30-33, and 65).


Additional hematopoietic cellular gene signatures (monocyte, myeloid, and neutrophil) were derived from I-Scope, a tool developed to identify immune cell specific genes in big data gene expression analyses. Non-hematopoietic fibroblast and lung cell gene sets were derived from T-Scope, a tool developed to identify genes specific for 45 non-hematopoietic cell types or tissues in big gene expression datasets. The T-Scope database contains 1,234 transcripts derived initially from 10,000 tissue enriched and 8,000 cell line enriched genes listed in the Human Protein Atlas. From the list of 18,000 potential tissue or cell specific genes, housekeeping genes and genes differentially expressed in 40 hematopoietic cell datasets were removed. The final gene lists were checked against available single cell analyses to confirm cellular specificity.


Nine single-cell RNA-seq lung cell populations (AT1, AT2, Ciliated, Club, Endothelial, Fibroblasts, Immuno Monocytes, Immuno T Cells, and Lymphatic Endothelium) were downloaded from the Eils Lung Tissues set (Ref. 66) accessed by the UC Santa Cruz Genome Browser (eils-lung.cells.ucsc.edu). Genes occurring in more than one cell type were removed. Additionally, genes known to be expressed by immune cells were removed. The Eils Lung Tissues set Immuno Monocyte, Immuno T Cell, Fibroblast, and Lymphatic Endothelium categories were not employed in further analyses.


Apoptosis and NFkB gene signatures were derived and modified from Ingenuity Pathway Analysis pathways Apoptosis Signaling and NFkB Signaling. ROS-protection was derived from Biologically Informed Gene-Clustering (BIG-C).


Network analysis and visualization were performed as follows. Visualization of protein-protein interaction and relationships between genes within datasets was done using Cytoscape (version 3.6.1) software. STRING (version 1.3.2) generated networks were imported into Cytoscape (version 3.6.1) and partitioned with MCODE via the clusterMaker2 (version 1.2.1) plugin. For PPIs in FIGS. 20A-20C, STRING settings were adjusted to high confidence (0.7), for PPIs in FIGS. 20D-20F, settings were relaxed to medium confidence (0.4). All PPIs were generated without the neighborhood or textmining features. For some PPIs, the average interaction strength using STRING-based cumulative interaction scores was used to determine the strength of interaction between clusters.


Functional and cellular enrichment analysis was performed as follows. Functional enrichment of clusters was performed using Biologically Informed Gene-Clustering (BIG-C), which was developed to understand the potential biological meaning of large lists of genes (Ref 67). Genes are clustered into 53 categories based on their most likely biological function and/or cellular localization based on information from multiple on-line tools and databases including UniProtKB/Swiss-Prot, GO terms, KEGG Pathways, MGI database, NCBI PubMed, and the Interactome. Hematopoietic cellular enrichment was performed using I-Scope, a tool developed to identify immune cell specific genes in big data gene expression analyses. Statistically significant enriched types of cell types in DEGs were determined by Fisher's Exact test overlap p-value and then determining an Odds Ratio of enrichment.


Derivation of co-expressed myeloid subpopulations in each compartment was performed as follows. Co-expression analyses were conducted in R. Sample (control and patient) log 2 expression values for each gene of the 221 identified monocyte/myeloid cell genes in were analyzed for their Pearson correlation coefficient in each tissue compartment (blood, lung, and airway) using the Cor function. Of note, only 196 of 221 genes had changes in gene expression in at least one tissue by RNA-seq. Pearson correlations for these 196 genes were hierarchically clustered by their Euclidian distance into 2 clusters (k=2) using the heatmap.2 function in R. This resulted in 2 Mo/myeloid co-expressed clusters in each compartment corresponding to increased and decreased gene sets. The upregulated co-expressed genes were used to define the A1, A2, and A3 myeloid subpopulations from the blood, lung, and airway compartments, respectively (Tables 7A-7C). The co-expressed myeloid populations in each compartment (A1-A3) were then evaluated for enrichment by GSVA.


Inter-compartment myeloid gene comparisons were performed as follows. To compare relative expression of the 196 myeloid-specific genes among compartments, HTS filtered log 2 expression values for each gene were normalized to the average expression of FCGR1A, FCGR2A, and FCGR2C in each sample. Welch's t-test was used to calculate the significant differences in normalized gene expression between cohorts. Effect sizes were computed between cohorts using the cohen.d function with Hedges' correction in R.


Monocle analyses were performed as follows. Trajectory analyses were performed with Monocle (Refs. 68-70) version 2.14.0 in R. Gene expression values for 621 genes related to myeloid cell differentiation and function including cell surface and secreted markers, M1 and M2 markers, metabolism, and IFN genes were selected as a curated input list (Tables 7A-7C). The HTS filtered log 2 expression values for each of these genes in each sample for each tissue type (PBMC-CoV2, Lung-CoV2, and BAL-CoV2) was normalized by the average log 2 expression of FCGR1A, FCGR2A, and FCGR2C in that particular sample as described above. Normalized expression of these genes was used as the input expression data for Monocle. The CellDataSet was created with parameters of lowerDetectionLimit=0.01 and expressionFamily=uninormal( ). Dimensions were reduced using the DDRTree method, and the max_components parameter was set to 2. Cell state was ordered based upon the state corresponding to PBMC-CoV2.


Linear Regression Analysis was performed as follows. Simple linear regression between calculated myeloid subpopulation A1, A2, and A3 GSVA scores and biological functions or signaling pathway GSVA scores was performed in GraphPad Prism Version 8.4.2. In all analyses where pathway genes (e.g. classical complement) were also myeloid cell genes, these genes were removed from the myeloid GSVA score for that comparison and kept in the pathway GSVA score. For each regression analysis, the Goodness of Fit is displayed as the R squared value and the p-value testing the significant of the slope is displayed. All p-values are displayed with 3 digits and rounded-up unless rounding changes significance.


Ingenuity Pathway Analysis (IPA) was performed as follows. The canonical pathway and upstream regulator functions of IPA core expression analysis tool (Qiagen) were used to interrogate DEG lists. Canonical pathways and upstream regulators were considered significant if |Activation Z-Score|≥2 and overlap p-value <0.01. Chemical reagents, chemical toxicants, and endogenous non-mammalian ligands were culled from all upstream regulator analyses.


Drug-Target Matching was performed as follows. IPA-predicted upstream regulators were annotated with respective targeting drugs and compounds to elucidate potential useful therapies in SARS-CoV2. Drugs targeting gene products of interest by both direct and indirect targeting mechanisms were sourced by Combined Lupus Treatment Scoring (CoLTS)-scored drugs (Ref 71), the Connectivity Map via the drug repurposing tool, DrugBank, and literature mining. Similar methods were employed to determine information about drugs and compounds, including mechanism of action and stage of clinical development. The drug repurposing tool was accessed at clue.io/repurposing-app.


Analysis of COVID-19 PBMC, Lung, and BAL DEG profiles via CLUE was performed as follows. DEGs from PBMC-CoV2 vs. PBMC-CTL, Lung-CoV2 vs. Lung-CTL, and BAL-CoV2 vs. PBMC-CoV2 were used as input for the CMaP and LINCS Unified Environment (CLUE) cloud-based connectivity map analysis platform (clue.io/connectopedia/). Top upregulated and downregulated DEGs from each signature as determined by magnitude of log 2 fold change were sequentially entered into CLUE until 150 of each were accepted for analysis to determine drugs, compounds, small molecules, and other perturbagens that mimic or oppose the uploaded COVID-19 gene expression signatures. Resultant drugs and compounds with negative connectivity scores in the [−75, −100] range were analyzed to include results with high confidence of antagonizing COVID-19 gene expression profiles.


Data Availability: the datasets analyzed in this study are available from the China National Center for Bioinformation's National Genomics Data Center, bigd.big.ac.cn/gsa/browse/CRA002390, and in the NCBI GEO repository www.ncbi.nlm.nih.gov/bioproject/PRJNA615032. Additional data generated or analyzed during this study are described by, for example, Daamen et al., “Comprehensive transcriptomic analysis of COVID-19 blood, lung, and airway”, Scientific Reports, Vol. 11, No. 7052 (2021), which is incorporated by reference herein in its entirety.


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FIG. 17 shows conserved and differential enrichment of immune cells and pathways in blood, lung, and airway of SARS-CoV2-infected patients. (sections a-d) Individual sample gene expression from the blood (section a), lung (section b), and airway (section c) was analyzed by GSVA for enrichment of immune cell and inflammatory pathways. The corresponding heatmap was generated using the R Bioconductor package complexHeatmap (v2.5.6) (Ref 72). Select enrichment scores are shown as violin plots in (section d) generated using GraphPad Prism v8.4.2 (www.graphpad.com). *p<0.05, **p<0.01.



FIGS. 18A-18C show elevated IFN expression in the lung tissue of COVID-19 patients. FIG. 18A: Normalized log 2 fold change RNA-seq expression values for IFN-associated genes from blood, lung, and airway of individual COVID-19 patients. The dotted line represents the expression of each gene in healthy individuals (for blood and lung) or PBMCs from COVID-19 patients (airway). FIG. 18B: Individual sample gene expression from the blood, lung, and airway was analyzed by GSVA for enrichment of IFN-related gene signatures. FIG. 18C: Normalized log 2 fold change RNA-seq expression values for anti-viral genes as in (section a). Generated using GraphPad Prism v8.4.2 (www.graphpad.com). #p<0.2, ##p<0.1, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001



FIGS. 19A-19D show that viral entry gene expression correlates with enhanced expression of inflammatory mediators in SARS-CoV2-infected lungs. FIGS. 19A-19B: Normalized log 2 fold change RNA-seq expression values for chemokines and chemokine receptors (section a) and IL-1 family members (FIG. 19B) from blood, lung, and airway of COVID-19 patients as in FIG. 18A. FIG. 19C: Individual sample gene expression from the blood, lung, and airway was analyzed by GSVA for enrichment of various lung tissue cell categories. FIG. 19D: Normalized log 2 fold change RNA-seq expression values for viral entry genes as in FIGS. 19A-19B. Generated using GraphPad Prism v8.4.2 (www.graphpad.com). #p<0.2, ##p<0.1, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001



FIGS. 20A-20F show that PPI analysis identifies different myeloid cell subsets and metabolic pathways in blood, lung, and airway of COVID-19 patients. DE upregulated genes from blood (FIG. 20A), lung (FIG. 20B), and airway (FIG. 20C) were used to create PPI metaclusters using Cytoscape (version 3.6.1) and the clusterMaker2 (version 1.2.1) plugin (Ref. 73). Size indicates the number of genes per cluster, color indicates the number of intra-cluster connections and edge weight indicates the number of inter-cluster connections. Enrichment for biological function and immune cell type was determined by BIG-C and I-Scope, respectively. Small clusters (˜14 genes) with similar function are grouped in dotted-line boxes. Clusters enriched in Mo/myeloid genes were combined by decreasing cluster stringency to create a new set of myeloid-derived metastructures from the blood (FIG. 20D), lung (FIG. 20E), and airway (FIG. 20F). Interaction scores showing the strength of interaction between clusters are indicated (0.4-0.6, medium interaction; 0.61-0.8, strong interaction; 0.81-0.99, very strong interaction).



FIGS. 21A-21F show that different co-expression-derived myeloid populations are found in blood, lung, and airway of COVID-19 patients. (FIG. 21A) GSVA enrichment of myeloid subpopulations increased in COVID-19 blood (A1), lung (A2), and airway (A3). (FIG. 21B) Venn Diagram of the gene overlap between myeloid subpopulations A1-A3. (FIG. 21C) Comparison of normalized log 2 fold change expression values of genes defining A1-A3. Expression values for each sample in each comparison were normalized by the mean of the log 2 fold change expression of FCGR1A, FCGR2A, and FCGR2C. Significant comparisons are displayed by Hedge's G effect size. (FIGS. 21D-21E) Characterization of A1-A3 by enrichment of myeloid populations (FIG. 21D) and PBMC, lung, and BAL myeloid metaclusters from FIGS. 20D-20F (FIG. 21E). Fisher's Exact Test was used to calculate overlap between transcriptomic signatures and significant overlaps (p<0.05) are shown as the negative logarithm of the p-value. (FIG. 21F) Trajectory analysis using expression of 621 genes (196 myeloid-specific genes used in a,b+425 additional myeloid genes shown in Tables 7A-7C) in the blood, lung, and airway compartments. Colors represent sample identity and size represents pseudotime distance along the trajectory. Generated using GraphPad Prism v8.4.2 (www.graphpad.com) and the R package Monocle v2.14.0 68-70.



FIG. 22 shows an analysis of biological activities of myeloid subpopulations. Linear regression between GSVA scores for each of the tissue-specific myeloid populations (A1-A3) and metabolism, NLRP3 Inflammasome, complement, apoptosis, and TNF signaling. Generated using GraphPad Prism v8.4.2 (www.graphpad.com).



FIGS. 23A-23B show a pathway analysis of SARS-CoV-2 blood, lung, and airway. DEGs from each SARS-CoV-2 blood or tissue pairwise comparison were uploaded into IPA (Qiagen Inc., www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis) and canonical signaling pathway (FIG. 23A) and upstream regulator (FIG. 23B) analyses were performed. Heatmaps represent significant results by Activation Z-Score |≥2| and overlap p-value<0.01. The boxes with the dotted outline separate drugs that were predicted as upstream regulators from pathway molecules and complexes. The remaining, significant upstream regulators were matched with drugs with known antagonistic targeting mechanisms. The top 150 UPRs in the lung are shown in (FIG. 23B) and the remaining are in FIGS. 29A-29E. Specific drugs for particular drug families (e.g., Anti-IL17) are found in Tables 8A-8B.


†: FDA-approved


‡: Drug in development/clinical trials



FIG. 24 shows a graphical model of COVID-19 pathogenesis. Proposed model of the inflammatory response to SARS-CoV2 infection in three compartments: the blood, lung, and airway generated using Microsoft PowerPoint version 19.0 and Adobe Illustrator version 25.0.



FIGS. 25A-25D show that metaclusters identify differentially expressed cell populations and functional gene clusters in SARS-CoV2 infected tissues and cell lines. Downregulated DE genes from peripheral blood (FIG. 25A), lung (FIG. 25B), and airway (FIG. 25C), and up-regulated DE genes from the NHBE primary lung epithelial cell line (FIG. 25D) were used to create metaclusters. Metaclusters were generated based on PPI networks, clustered using MCODE and visualized in Cytoscape as in FIGS. 20A-20F. Size indicates the number of genes per cluster, color indicates the number of intra-cluster connections and edge weight indicates the number of inter-cluster connections. Cluster enrichment for biological function and immune cell type was determined by BIG-C and I-Scope, respectively.



FIGS. 26A-26F show an evaluation of macrophage gene signatures in myeloid-derived clusters from COVID-affected blood, lung and BAL fluid. Macrophage signatures from the indicated sources were compared to myeloid clusters from FIGS. 19A-19D. Heatmap depicts signatures with significant overlap (−log (p-value)>1.33) with myeloid clusters from the blood, lung and airway compartments generated using GraphPad Prism v8.4.2 (www.graphpad.com). N/A, non-applicable/non-significant overlap detected. R & D Systems provided signatures for the M1, M2a, M2b, M2c and M2d populations.



FIG. 27 shows heterogeneous expression of monocyte/myeloid cell genes in different CoV2 tissue compartments as compared to control. Evaluation of differential expression of 171 monocyte/myeloid genes in each compartment reveals shared and disparate expression among the tissues. PBMC represents PBMC-CoV2 to PBMC-CTL. Lung represents Lung-CoV2 to Lung-CTL. BAL represents BAL-CoV2 to PBMC-CoV2. Scale bar presents Log 2 Fold Change. N/A represents genes that were not significantly DE at FDR<0.2. Heatmaps generated using GraphPad Prism v8.4.2 (www.graphpad.com).



FIG. 28 shows an analysis of biological activities of myeloid subpopulations. Linear regression between GSVA scores for each of the tissue-specific myeloid populations and metabolic pathways, inlammasome, complement pathways, NFκB complex signaling and ROS protection. Generated using GraphPad Prism v8.4.2 (www.graphpad.com).



FIGS. 29A-29E show a pathway analysis of SARS-CoV-2 lung tissue. FIG. 29A: Remaining significant upstream regulators operative in SARS-CoV-2 lung tissue predicted by IPA upstream regulator analysis. Upstream regulator analysis was also conducted on DEGs from each individual COVID-19 lung compared to healthy controls due to observed heterogeneity FIG. 29B: significant results displayed for Lung1-CoV2 vs. Lung-CTL. FIG. 29C: significant results displayed for Lung2-CoV2 vs. Lung-CTL. Chemical reagents, chemical toxicants, and non-mammalian endogenous chemicals were culled from results. The boxes with the dotted outline separate small molecules/drugs/compounds that were predicted as upstream regulators from pathway molecules and complexes. FIGS. 29D-29E: IPA canonical signaling pathway analysis was conducted on individual COVID-19 lung samples. Pathways and upstream regulators were considered significant by |Activation Z-Score|≥2 and overlap p-value <0.01.









TABLE 5







Summary of datasets used















RNA-






seq










Dataset
Accessibility
Metadata
Method





CRA002309
bigd.big.ac.cn/gsa/
3 PBMC
Illumina



browse/CRA002390
SARS-
NovaSeq














CoV-2
5000





3 PBMC






healthy






donor






3 BALF






SARS-






CoV-2











GSE147505
www.ncbi.nlm.nih.gov/
2
Illumina



bioproject/PRJNA615032
postmortem
NextSeq














lung
500





2 healthy






lung










General COVID Patient/Sample Information















Sample





Age
Collection and


Dataset
Cohort
Gender
(years)
Isolation





CRA002309
PBMC CoV2
3 Males
25-74
PBMC were






isolated using






Ficoll density






gradient method



PBMC CTL
3 Unknown
Unknown





Gender





BAL CoV2
3 Males
25-74
BAL fluid was






retrieved by






gentle syringe






suction using






sterile saline


GSE147505
Lung CoV2
2 Males
>60
Acquired post-






mortem as fixed






lung samples



Lung CTL
2 Males
>70
Acquired from






biopsies of






uninfected lungs






obtained post-






surgery
















TABLE 6





(DEGs in Blood, Lung, and Airway)







PBMC-CoV2 to PBMC-CTL (4,245 DEGs in Blood)


A2M, AAGAB, AAK1, AAMP, AAR2, ABCA2, ABCA3, ABCA5, ABCA6, ABCA7,


ABCB1, ABCB7, ABCC2, ABCD1, ABHD15, ABHD17A, ABHD6, ABI2, ABITRAM,


ABLIM1, ABRACL, ABT1, ACAA2, ACACB, ACAD10, ACADSB, ACADVL, ACAP1,


ACCS, ACD, ACER3, ACHE, ACLY, ACO2, ACOT2, ACOT8, ACOT9, ACOX3, ACP2,


ACP5, ACSL3, ACSS2, ACTA1, ACTB, ACTG1, ACTR1A, ACTR1B, ACTR2, ACTR5,


ACVRIB, ACVRIC, ACVR2B, ACVRL1, ACYP1, ADA2, ADAM15, ADAM19,


ADAM22, ADAM23, ADAM8, ADAM9, ADAMTS10, ADAMTS17, ADAMTS2,


ADAMTS4, ADAMTSL5, ADAP2, ADARB1, ADGRB2, ADGRE3, ADGRE5, ADGRG1,


ADGRG5, ADGRL1, ADGRL2, ADH5, ADIPOR1, ADORA2A, ADORA3, ADPGK,


ADPRH, ADRM1, AEBP2, AFAP1, AFMID, AGAP1, AGAP2, AGAP9, AGBL3, AGFG1,


AGFG2, AGK, AGL, AGPAT2, AGPAT3, AGRN, AGTRAP, AHCY, AHCYL1, AHDC1,


AIF1, AIFM1, AIMP2, AJM1, AK2, AK4, AK5, AKAP12, AKAP17A, AKAP5, AKAP9,


AKIP1, AKNA, AKR1A1, AKR1C3, AKT3, ALAD, ALAS1, ALCAM, ALDH1A1,


ALDH1L2, ALDH2, ALDH3A2, ALDH3B1, ALDH4A1, ALDH9A1, ALDOA, ALG1,


ALG14, ALG8, ALKBH4, ALOX15, ALOX15B, ALOX5, ALPL, ALS2CL, AMD1,


AMDHD2, AMIGO1, AMIGO2, AMMECR1, AMN, AMOT, AMPD2, AMPH, ANAPC15,


ANG, ANGPTL6, ANK1, ANK3, ANKLE1, ANKMY1, ANKRA2, ANKRD11, ANKRD12,


ANKRD22, ANKRD34A, ANKRD34B, ANKRD36, ANKRD36B, ANKRD36C, ANKRD37,


ANKRD39, ANKRD44, ANKRD46, ANKRD49, ANKRD50, ANKRD52, ANKRD54,


ANKRD55, ANKS3, ANKS6, ANKZF1, ANLN, ANO10, ANO5, ANO9, ANXA2, ANXA4,


ANXA5, ANXA7, AOAH, AOC2, AOC3, AP1B1, AP1S1, AP2M1, AP2S1, AP3M1,


AP3M2, AP3S1, AP4S1, APBA3, APBB1, APC2, APEX2, APH1A, API5, APLP2, APMAP,


APOE, APOL4, APOLD1, APP, ARCN1, AREG, ARF1, ARF4, ARGLU1, ARHGAP12,


ARHGAP15, ARHGAP18, ARHGAP23, ARHGAP24, ARHGAP25, ARHGAP29,


ARHGAP31, ARHGAP33, ARHGAP4, ARHGAP5, ARHGAP9, ARHGEF1, ARHGEF11,


ARHGEF18, ARHGEF19, ARHGEF3, ARHGEF35, ARHGEF5, ARHGEF9, ARID3B,


ARID4A, ARID4B, ARID5B, ARL10, ARL11, ARL4A, ARL4C, ARL6, ARL6IP1, ARL8B,


ARMC2, ARMH3, ARMT1, ARNT, ARNTL2, ARPC1B, ARPC3, ARPC5, ARPIN,


ARRDC3, ARRDC4, ARSA, ARSB, ARV1, ARVCF, ASAH1, ASAH2B, ASB13, ASCL2,


ASGR1, ASGR2, ASH2L, ASL, ASPH, ASPM, ASPRV1, ASTE1, ATAD3B, ATF4, ATF7,


ATG12, ATG16L1, ATG2A, ATG3, ATG4A, ATG7, ATG9B, ATM, ATN1, ATP10D,


ATP11A, ATP1B3, ATP23, ATP2A2, ATP2A3, ATP2B1, ATP2B4, ATP5F1A, ATP5F1B,


ATP5F1C, ATP5F1E, ATP5MC1, ATP5MC2, ATP5MC3, ATP5MF, ATP5MG, ATP5MPL,


ATP5PB, ATP5PD, ATP5PF, ATP6AP1, ATP6AP2, ATP6V0A1, ATP6V0A2, ATP6V0D1,


ATP6V0E1, ATP6V0E2, ATP6V1A, ATP6V1B2, ATP6V1C1, ATP6V1D, ATP6V1E1,


ATP6V1F, ATP8B1, ATP8B2, ATPSCKMT, ATRX, ATXN10, ATXN7L2, ATXN7L3B,


AURKA, AURKB, AUTS2, AVIL, AVPR2, AXIN1, AXIN2, AZI2, AZIN1, AZIN2, B2M,


B3GAT1, B3GLCT, B4GALNT4, B4GAT1, B9D2, BACE1, BACH1, BACH2, BAG5,


BAHCC1, BAHD1, BAK1, BAMBI, BASP1, BATF2, BAX, BBX, BCAS2, BCAT1,


BCKDHA, BCKDHB, BCKDK, BCL11B, BCL2A1, BCL2L13, BCL7C, BCL9L, BCR,


BDP1, BEGAIN, BEX2, BEX4, BEX5, BFAR, BFSP1, BHLHA15, BICDL1, BICRA, BIN1,


BIN3, BIRC5, BLM, BLNK, BLOC1S4, BLVRA, BLVRB, BMERB1, BMF, BMI1,


BMP2K, BMPR1A, BNC2, BNIP2, BNIP3, BOD1L1, BPI, BPTF, BRCA1, BRCA2, BRD1,


BRD9, BRF2, BRI3, BRICD5, BRIX1, BRK1, BRPF3, BSG, BST1, BST2, BTBD2, BTBD3,


BTBD9, BTF3L4, BTG1, BTG2, BTK, BTN3A1, BTN3A2, BTNL8, BUB1, BUB1B, BUB3,


BZW2, C11orf24, C11orf65, C12orf29, C12orf4, C12orf57, C12orf75, C13orf46, C14orf119,


C14orf132, C14orf28, C15orf41, C16orf54, C16orf70, C16orf91, C17orf107, C17orf58,


C17orf67, C19orf12, C19orf25, C19orfi8, C19orf54, C19orf71, C19orf84, C1GALT1C1,


C1orf115, C1orf162, C1orf21, C1orf216, C1orf35, C1orf43, C1orf50, C1QA, C1QB, C1QC,


C2, C20orf194, C20orf204, C20orf27, C20orf96, C21orf91, C22orf19, C2CD5, C2orf49,


C3AR1, C4orf50, C5, C5orf15, C5orf22, C5orf24, C5orf30, C6orf136, C7orf26, C8orf58,


C9orf139, C9orf64, C9orf78, CA11, CA2, CA5B, CA8, CABIN1, CABP4, CACNA1H,


CACNA1I, CACNA2D2, CACNA2D4, CACNB1, CACNB2, CACNG8, CACTIN,


CALCOCO2, CALCRL, CALM2, CALU, CAMK1, CAMK1D, CAMK2G, CAMK2N1,


CAMK4, CAMP, CAP1, CAPG, CAPN1, CAPN10, CAPN15, CAPN2, CAPN3, CAPNS1,


CAPRIN1, CAPRIN2, CAPZA1, CAPZA2, CARD11, CARD16, CARD6, CARMIL2,


CARNMT1, CARNS1, CASD1, CASP1, CASP7, CASP8, CASP8AP2, CASS4, CAST,


CASTOR3, CAT, CATSPER1, CATSPER2, CATSPERB, CATSPERG, CBFA2T2, CBLB,


CBR1, CBR4, CBWD1, CBWD2, CBWD3, CBWD5, CBWD6, CBX4, CBX7, CC2D1B,


CCDC102A, CCDC12, CCDC120, CCDC136, CCDC138, CCDC141, CCDC146, CCDC149,


CCDC157, CCDC159, CCDC17, CCDC18, CCDC191, CCDC200, CCDC28A, CCDC43,


CCDC47, CCDC57, CCDC59, CCDC6, CCDC65, CCDC66, CCDC69, CCDC7, CCDC78,


CCDC80, CCDC84, CCDC88A, CCDC88B, CCDC88C, CCDC91, CCDC92, CCL28,


CCL3L1, CCL4, CCL4L2, CCL5, CCM2, CCN3, CCNA2, CCNB1, CCNB2, CCND2,


CCNJ, CCNL2, CCNT1, CCNYL1, CCR1, CCR2, CCR3, CCR7, CCR9, CCRL2, CCSAP,


CCSER2, CCT5, CCT6A, CCT8, CCZ1, CCZ1B, CD101, CD109, CD14, CD151, CD160,


CD163, CD163L1, CD164, CD180, CD1A, CD1D, CD2, CD200R1, CD209, CD226, CD244,


CD247, CD28, CD2BP2, CD300C, CD300LB, CD302, CD320, CD33, CD36, CD38, CD3D,


CD3E, CD3G, CD40LG, CD47, CD5, CD6, CD63, CD69, CD7, CD81, CD86, CD93, CD96,


CD99L2, CDAN1, CDC14A, CDC20, CDC25A, CDC25B, CDC37L1, CDC40, CDC42BPA,


CDC42BPB, CDC42BPG, CDC42EP1, CDC42EP3, CDC42SE1, CDC42SE2, CDC45,


CDC6, CDCA3, CDCA5, CDCA8, CDH24, CDHR1, CDHR3, CDIP1, CDK1, CDK11B,


CDK13, CDK17, CDK20, CDK2AP2, CDK5, CDK5RAP2, CDK9, CDKN1B, CDKN1C,


CDKN2AIP, CDKN2B, CDKN2C, CDT1, CEACAM1, CEACAM3, CEBPA, CEBPD,


CENPF, CENPN, CENPT, CENPU, CENPV, CEP104, CEP120, CEP126, CEP131, CEP135,


CEP152, CEP164, CEP170, CEP250, CEP290, CEP55, CEP68, CEP70, CEP78, CEP85L,


CERCAM, CERK, CERS4, CERS6, CES1, CES1P1, CFAP20, CFAP298, CFAP36,


CFAP410, CFAP44, CFAP45, CFH, CFP, CH25H, CHCHD1, CHCHD4, CHCHD6, CHD2,


CHD3, CHD6, CHD7, CHERP, CHI3L1, CHIC1, CHID1, CHKA, CHML, CHMP2B,


CHMP4A, CHP1, CHRFAM7A, CHRNA2, CHRNA7, CHRNE, CHST10, CHST12,


CHST13, CHST2, CHST7, CHST8, CHTF18, CHTF8, CIAO2A, CIC, CINP, CIP2A, CIRBP,


CISD1, CISH, CIT, CKAP5, CKB, CKS2, CLASRP, CLC, CLCF1, CLCN3, CLCN4,


CLCN5, CLCN6, CLCN7, CLDN15, CLDND2, CLEC12A, CLEC12B, CLEC18A,


CLEC18B, CLEC1B, CLEC2B, CLEC2D, CLEC4C, CLEC4D, CLEC40, CLEC5A,


CLEC6A, CLEC9A, CLHC1, CLIC1, CLIC3, CLIC4, CLIC5, CLK1, CLN5, CLN6, CLN8,


CLNS1A, CLPB, CLPTM1, CLPTM1L, CLSPN, CLSTN1, CLSTN3, CLTA, CLTC,


CLTCL1, CMAS, CMC1, CMC2, CMKLR1, CMPK1, CMPK2, CMTM2, CMTM4,


CMTM7, CNDP2, CNIH3, CNIH4, CNNM3, CNOT6L, CNP, CNPY4, CNTLN, CNTNAP1,


CNTNAP2, COA3, COA4, COA5, COA7, COASY, COG8, COL13A1, COL18A1, COL6A1,


COL6A2, COL8A2, COLGALT1, COLGALT2, COLQ, COMMD1, COMMD10,


COMMD9, COMT, COPA, COPB2, COPG1, COPG2, COPS2, COPS3, COPZ1, COQ10A,


COQ2, COQ5, CORO1C, CORO2B, CORO6, CORO7, COTL1, COX10, COX15, COX5A,


COX5B, COX6A1, COX6B1, COX7A2L, COX7B, COX8A, CPA3, CPEB3, CPEB4,


CPED1, CPM, CPNE2, CPNE8, CPSF1, CPSF2, CPSF3, CPVL, CRACR2A, CRAT,


CREB1, CREBRF, CREBZF, CREG1, CRELD1, CREM, CRIM1, CRIP1, CRIP2,


CRISPLD2, CRLF3, CRLS1, CROCC, CROCC2, CROT, CRTAP, CRTC2, CRY1,


CRYBG1, CRYBG2, CRYBG3, CRYM, CS, CSF1, CSF1R, CSF2RA, CSGALNACT2,


CSNK1A1, CSNK1E, CSNK1G2, CSNK2A1, CSNK2A3, CSPP1, CSRNP1, CST3, CST7,


CSTA, CSTB, CTAGE15, CTAGE4, CTAGE6, CTAGE8, CTBP1-AS, CTC1, CTDSPL2,


CTIF, CTNNA1, CTNNB1, CTNND1, CTNS, CTSA, CTSB, CTSC, CTSD, CTSF, CTSH,


CTSL, CTSO, CTSS, CTSW, CTSZ, CTTNBP2NL, CUBN, CUEDC2, CUL1, CUX1,


CWC15, CWF19L2, CXCL1, CXCL10, CXCL5, CXCL8, CXCR1, CXCR2, CXorf21,


CXorf38, CYB561D1, CYB561D2, CYB5R1, CYB5R3, CYBB, CYBRD1, CYC1, CYCS,


CYFIP1, CYFIP2, CYHR1, CYLD, CYP19A1, CYP1B1, CYP2D6, CYP2D7, CYP4F12,


CYSLTR2, CYTH1, CYTH2, DAAM2, DAB2, DAD1, DAGLA, DALRD3, DAP, DAPK2,


DARS2, DBF4, DBH, DBI, DBN1, DBP, DCAF15, DCAF16, DCLRE1A, DCPS, DCTN2,


DCTN4, DCTN5, DCTN6, DDB1, DDHD2, DDI2, DDIT4, DDOST, DDX17, DDX21,


DDX41, DDX49, DDX5, DDX6, DECR1, DEDD2, DEF6, DEFA1, DEFA1B, DEFA3,


DENND10, DENND11, DENND1A, DENND1C, DENND2D, DENND5B, DEPP1, DERA,


DERL3, DESI1, DGKE, DGKG, DGKK, DGKQ, DGKZ, DGUOK, DHCR24, DHFR,


DHRS11, DHRS13, DHRS3, DHRS4, DHRS4L2, DHX29, DHX32, DHX33, DHX57,


DHX9, DIAPH2, DIDO1, DIMT1, DIP2C, DLC1, DLD, DLEC1, DLEU7, DLG3, DLG4,


DLG5, DLGAP5, DMAC2, DMAP1, DMPK, DMWD, DMXL1, DNAAF2, DNAH10,


DNAH8, DNAJA1, DNAJA2, DNAJB1, DNAJB12, DNAJB13, DNAJB14, DNAJB9,


DNAJC13, DNAJC15, DNAJC24, DNAJC5, DNAJC6, DNAL1, DNASE1, DNASE1L1,


DNASE2, DNM1L, DNMT3A, DOCK1, DOCK2, DOCK7, DOCK8, DOCK9, DOK1,


DOK4, DOK6, DOLPP1, DOP1B, DPAGT1, DPEP2, DPEP3, DPP3, DPP9-AS1, DPYD,


DPYSL2, DRAM1, DRAM2, DRAXIN, DSE, DSTN, DTHD1, DTL, DTWD1, DTWD2,


DTX3, DTX3L, DUOX1, DUS3L, DUSP16, DUSP2, DUSP3, DUSP7, DUSP8, DVL1,


DVL2, DXO, DYM, DYNLL1, DYNLL2, DYNLT3, DYRK1A, DYRK1B, DYRK2,


DYRK3, DYSF, DZIP3, E2F1, E2F2, E2F3, E2F4, E2F6, E4F1, EAF1, EAF2, EBF4,


EBLN2, ECH1, ECHDC1, ECHDC2, ECHDC3, ECPAS, EDAR, EDEM2, EDEM3,


EDNRB, EED, EEF1AKNMT, EFHC2, EFHD2, EFNA5, EFTUD2, EGFL7, EGLN1, EGR3,


EHD4, EID3, EIF1, EIF1AD, EIF1AX, EIF2AK1, EIF2AK4, EIF2B1, EIF2B2, EIF2S1,


EIF2S3, EIF2S3B, EIF3I, EIF3M, EIF4E2, EIF4EBP1, EIF4G1, EIF4H, EIF5A2, EIF5AL1,


EIF6, ELAVL1, ELK4, ELL2, ELMO2, ELMO3, ELOB, ELOC, ELOVL1, ELP2, EMC7,


EMC8, EMID1, EMILIN2, EML3, EML4, EMP3, ENKUR, ENO1, ENO2, ENO3, ENOX2,


ENPP3, ENPP5, ENY2, EOMES, EPB41L3, EPB41L4A, EPC1, EPDR1, EPHA4, EPHB1,


EPHB2, EPHB4, EPHX2, EPN2, EPPK1, EPS8, EPS8L2, EPSTI1, ERAL1, ERBB2,


ERCC6L2, ERCC8, EREG, ERFL, ERG28, ERH, ERI2, ERLIN1, ERLIN2, ERMAP, ERN1,


ERO1A, ERO1B, ERP27, ERP44, ESCO1, ESD, ESF1, ESPL1, ESR1, ESR2, ESRP2,


ESYT2, ETAA1, ETF1, ETFA, ETFDH, ETHE1, ETS1, ETS2, EVI2A, EVI2B, EVI5, EVL,


EWSR1, EXD3, EXOC4, EXOC6, EXOC8, EXOSC1, EXOSC4, EXOSC6, EXPH5, EXT1,


EXT2, EZH2, F2RL2, F5, FABP5, FADS1, FAH, FAIM, FAM102A, FAM107B, FAM118B,


FAM122B, FAM131B, FAM151B, FAM153B, FAM156A, FAM156B, FAM160B2,


FAM169A, FAM172A, FAM174A, FAM177A1, FAM193B, FAM199X, FAM200B,


FAM20A, FAM20C, FAM214A, FAM229A, FAM241A, FAM32A, FAM43A, FAM72A,


FAM72B, FAM72C, FAM72D, FAM76A, FAM76B, FAM83A, FAM89A, FAM98C,


FANCA, FANCI, FAT2, FAT4, FAXDC2, FBF1, FBL, FBLN7, FBN2, FBP1, FBRSL1,


FBXL13, FBXL14, FBXL15, FBXL16, FBXL17, FBXL5, FBXL8, FBX03, FBXO31,


FBXO32, FBXO33, FBXO45, FBXO5, FBXO6, FCER1A, FCGR1A, FCGR1B, FCGR3A,


FCGR3B, FCGRT, FCHO1, FCHSD1, FCMR, FCN1, FCN2, FCRL3, FCRL5, FCRL6,


FEN1, FERMT3, FES, FEZ1, FEZ2, FFAR2, FGD1, FGD2, FGD3, FGD4, FGD6, FGFBP2,


FGFR1OP, FGFRL1, FGR, FH, FHDC1, FHL1, FIBP, FIG4, FIS1, FKBP15, FKBP1A,


FKBP1B, FKBP5, FKBP9, FLT1, FLT3, FLVCR2, FLYWCH1, FMN1, FMNL3, FMO5,


FN1, FNBP1L, FNDC9, FNIP2, FOSB, FOXD2-AS1, FOXK1, FOXM1, FOXN2, FOXO1,


FOXP1, FOXP3, FOXP4, FPGT, FPR3, FRMD3, FRMD4B, FRMD8, FRMPD3, FRRS1,


FSCN1, FSTL3, FTL, FUCA2, FURIN, FUT11, FXYD6, FYB1, FYN, FZD1, FZD2, FZD3,


FZD5, FZD7, GOS2, G2E3, G6PC3, G6PD, GAA, GABRR2, GADD45B, GAL3ST4,


GALK1, GALK2, GALNT11, GALNT12, GALNT2, GALNT3, GALNT7, GAN, GANC,


GAPDH, GARS1, GART, GAS2L3, GAS6, GASK1B, GATA2, GATA3, GATAD2A,


GATAD2B, GATB, GBA, GBE1, GBGT1, GCAT, GCC1, GCC2, GCNT1, GCNT4,


GCSAM, GCSAML, GDAP1, GDE1, GDF11, GDI2, GDPD3, GEMIN7, GEN1, GET3,


GFI1, GFM1, GFM2, GFRA2, GGACT, GGCT, GGH, GGT7, GHITM, GHRL, GIGYF1,


GIMAP5, GIMAP7, GIMAP8, GINS2, GIPC1, GIPR, GK5, GKAP1, GLB1, GLB1L2,


GLCCI1, GLCE, GLDC, GLDN, GLE1, GLI1, GLI4, GLIPR1, GLMP, GLO1, GLRX,


GLRX3, GLS, GLTP, GLUD1, GLUD2, GM2A, GMCL1, GMDS, GMPPA, GMPR,


GNA15, GNAL, GNAO1, GNB5, GNG2, GNG5, GNL2, GNLY, GNPAT, GNPDA1,


GNPTAB, GNRH1, GNS, GOLGA4, GOLGA5, GOLGA6L10, GOLGA6L3, GOLGA6L4,


GOLGA6L9, GOLGA7B, GOLGA8A, GOLGA8B, GOLT1B, GORASP1, GOSR1, GOT2,


GPA33, GPALPP1, GPAT2, GPBAR1, GPD2, GPER1, GPI, GPM6B, GPN3, GPNMB,


GPR146, GPR153, GPR155, GPR171, GPR174, GPR18, GPR183, GPR3, GPR34, GPR68,


GPR75, GPRC5D, GPSM3, GPT2, GPX1, GPX4, GRAMD1C, GRB10, GRB2, GRHPR,


GRIN3B, GRINA, GRK2, GRK3, GRK5, GRM2, GRN, GSR, GSTM1, GSTM2, GSTM4,


GSTO1, GSTZ1, GTF2B, GTF2F2, GTF2H1, GTF3C6, GTPBP4, GTPBP8, GTSE1, GTSF1,


GUF1, GUSB, GXYLT1, GYG1, GYPE, GYS1, GZMA, GZMB, GZMH, GZMK, GZMM,


H1-0, H1-10, H1-4, H2AJ, H2AZ2, H2BC17, H2BC5, H3-3B, H4-16, H4C8, HAAO,


HABP4, HADHA, HADHB, HAGHL, HAT1, HAUS1, HAUS4, HAUS5, HAVCR2,


HCAR2, HCAR3, HCCS, HCN2, HCN3, HDAC8, HDAC9, HDC, HDGF, HDHD5, HDLBP,


HEATR4, HEATR9, HEBP1, HECTD2, HEG1, HELB, HERC1, HES4, HEXB, HEXD,


HFE, HGF, HIBADH, HIGD1A, HIGD2A, HINT2, HIP1R, HIRIP3, HIVEP2, HJURP, HK1,


HK2, HK3, HKDC1, HLA-DQA2, HLA-DRA, HLA-E, HLA-F, HLX, HM13, HMBS,


HMCES, HMGB2, HMGB3, HMGCL, HMGXB4, HMOX1, HMOX2, HNMT, HNRNPA0,


HNRNPAB, HNRNPDL, HNRNPF, HNRNPK, HOMEZ, HOPX, HOXB2, HOXB3,


HOXB4, HP, HPCAL1, HPCAL4, HPR, HPRT1, HPS5, HPSE, HRH4, HS1BP3,


HS3ST3B1, HSBP1, HSD17B10, HSD17B12, HSD17B4, HSF2, HSF4, HSPA4, HSPH1,


HTRA1, HUS1, HVCN1, HYAL2, IAH1, IBTK, ICA1, ID2, ID3, IDE, IDH1, IDH2, IDH3G,


IDS, IER2, IER5, IFH6, IFI27L1, IFI27L2, IFI35, IFI44, IFI6, IFIT5, IFITM3, IFNAR1,


IFNG, IFNGR1, IFNGR2, IFT122, IFT80, IGF1R, IGF2BP3, IGFBP2, IGFBP3, IGFBP7,


IGIP, IGLL5, IK, IKBKE, IKZF1, IKZF2, IKZF3, IKZF4, IL11RA, IL12RB1, IL15, IL15RA,


IL17RA, IL18, IL18BP, IL1B, IL1R2, IL21R, IL24, IL2RA, IL2RB, IL2RG, IL32, IL3RA,


IL5RA, IL7R, IMMT, IMPA2, IMPACT, IMPAD1, ING5, INIP, INKA1, INO80C, INO80E,


INPP1, INPP4A, INPP4B, INPP5D, INPP5E, INPPL1, INSR, INTS6, IP6K2, IPO7, IPP,


IQCN, IQSEC3, IRAK1, IRAK1BP1, IRAK2, IRAK3, IRF2BP1, IRF3, IRF5, IRF8,


ISG20L2, ISYNA1, ITFG1, ITGA1, ITGA7, ITGAM, ITGB2, ITGB7, ITGB8, ITK, ITM2A,


ITM2C, ITPKB, ITPKC, ITPR3, ITPRID2, ITPRIPL1, ITPRIPL2, ITSN1, JADE1, JADE2,


JADE3, JAG1, JAGN1, JAK1, JAK2, JAKMIP1, JAKMIP2, JAM3, JCHAIN, JDP2,


JKAMP, JMY, JPH4, JUN, JUNB, JUND, JUP, KANK2, KANK3, KANSL1, KANSL2,


KARS1, KAT6A, KAT6B, KATNBL1, KBTBD11, KBTBD4, KBTBD6, KCNA3, KCNC4,


KCND3, KCNE1, KCNE1B, KCNE3, KCNK13, KCNMA1, KCNMB1, KCNQ1, KCTD12,


KCTD13, KCTD3, KCTD5, KDELR1, KDELR2, KDM1B, KDM2A, KDM3A, KDM5A,


KDM6B, KEL, KIAA0100, KIAA0355, KIAA0586, KIAA0895L, KIAA0930, KIAA1143,


KIAA1257, KIAA1324, KIAA1328, KIAA1522, KIAA1671, KIAA1958, KIAA2026, KIF11,


KIF14, KIF15, KIF18A, KIF18B, KIF19, KIF20B, KIF21A, KIF21B, KIF22, KIF23,


KIF26A, KIF2A, KIF2C, KIF3A, KIF4A, KIF5C, KIFC1, KIFC2, KIFC3, KIR2DL1,


KIR2DL3, KIR2DS4, KIR3DL1, KIR3DL2, KIZ, KLC2, KLC4, KLF12, KLF16, KLF2,


KLF5, KLHDC2, KLHDC4, KLHDC8A, KLHL11, KLHL12, KLHL14, KLHL15, KLHL25,


KLHL28, KLHL3, KLHL42, KLHL8, KLRB1, KLRC1, KLRC4, KLRD1, KLRF1, KLRG1,


KMO, KMT2A, KMT2B, KMT2E, KMT5C, KNL1, KNSTRN, KPNA5, KPTN, KRBA1,


KRI1, KRR1, KRT23, KRT72, KRT73, KRTCAP3, KY, L3MBTL3, LACC1, LACTB,


LAIR1, LAMA2, LAMB2, LAMC1, LAMTOR2, LAMTOR4, LAMTOR5, LAP3,


LAPTM4B, LAT, LAT2, LAX1, LBH, LCK, LCNL1, LCORL, LCP1, LDB1, LDHA, LDLR,


LDLRAD3, LDOC1, LEMD3, LENG1, LENG8, LEPROT, LGALS1, LGALS12, LGALS3,


LGALS8, LGALS9, LGALS9B, LGR6, LHFPL2, LHFPL6, LIG1, LIG4, LILRA4, LILRA5,


LILRA6, LILRB4, LILRB5, LIM2, LIMD2, LIN54, LIN7C, LINC01410, LINC01579,


LINGO1, LIPA, LIPE, LITAF, LIXIL, LLGL1, LLGL2, LMAN2, LMBR1, LMBRIL,


LMF1, LMF2, LMNA, LMNB1, LMO2, LMO7, LMTK3, LNPEP, LONP2, LONRF3,


LOXHD1, LOXL2, LPCAT1, LPCAT3, LPCAT4, LPL, LPXN, LRATD2, LRFN1, LRFN3,


LRIF1, LRIG1, LRMDA, LRP1, LRP2BP, LRP3, LRP8, LRPAP1, LRRC14, LRRC23,


LRRC37B, LRRC41, LRRC45, LRRC56, LRRC59, LRRC8D, LRRK1, LRWD1, LSM10,


LSM6, LSS, LTA4H, LTB, LTBP3, LTBP4, LTBR, LTF, LUC7L, LUC7L3, LY6G5C,


LY75, LY86, LY9, LYRM7, LYSMD4, LYZ, LZTFL1, LZTS3, M1AP, M6PR,


MACROH2A1, MACROH2A2, MAEA, MAF, MAFB, MAFG, MAGED2, MAGEE1,


MAGEF1, MALAT1, MAML3, MAN1A2, MAN1B1, MAN1C1, MAN2A2, MAN2B1,


MANBA, MAOA, MAOB, MAP10, MAP11, MAP1LC3A, MAP2K1, MAP2K6, MAP3K10,


MAP3K12, MAP3K20, MAP3K21, MAP3K6, MAP3K7CL, MAP3K9, MAP4K1, MAP4K2,


MAP9, MAPK13, MAPK14, MAPK3, MAPK6, MAPK8, MAPKAPK3, MAPKBP1,


MAPRE1, MAPRE2, MARC1, MARCHF1, MARCHF2, MARCHF5, MARCHF9,


MARCKSL1, MARCO, MARS2, MARVELD1, MASP2, MAST3, MAT2A, MATK,


MATR3, MBD5, MBLAC2, MBOAT1, MBP, MBTPS2, MC1R, MCEMP1, MCF2L,


MCF2L2, MCFD2, MCM10, MCM2, MCM3AP-AS1, MCM4, MCMBP, MCOLN1,


MCR1P1, MCTP1, MCTS1, MDGA1, MDH1, MDH2, MDS2, ME1, ME2, MECP2, MED1,


MED10, MED15, MED17, MED19, MED20, MED21, MED30, MED31, MED6, MED8,


MEF2A, MEF2C, MEGF6, MELK, MELTF, MERTK, MESD, METRN, METTL14,


METTL22, METTL4, METTL7A, METTL9, MEX3C, MFGE8, MFSD1, MFSD14B,


MFSD2B, MFSD8, MGAT1, MGAT4A, MGME1, MGST1, MGST2, MGST3, MIB2,


MICA, MICAL2, MICB, MICU1, MID2, MIEF2, MIGA1, MIGA2, MILR1, MINDY2,


MINK1, MIOS, MIR23A, MIS18BP1, MITF, MKI67, MKKS, MLANA, MLC1, MLEC,


MLF1, MLKL, MLLT11, MLLT3, MLLT6, MLX, MLXIP, MME, MMP14, MMP17,


MMP19, MMP23B, MMP24, MMP28, MOAP1, MOB1B, MOB3C, MORC4, MORN3,


MPC1, MPDU1, MPEG1, MPHOSPH10, MPHOSPH8, MPND, MPP1, MPP6, MPRIP,


MPV17, MPV17L2, MPZL3, MR1, MRC1, MRI1, MRM2, MROH6, MRPL10, MRPL12,


MRPL13, MRPL15, MRPL16, MRPL18, MRPL19, MRPL23, MRPL28, MRPL3, MRPL33,


MRPL36, MRPL37, MRPL41, MRPL47, MRPL51, MRPL55, MRPL57, MRPL58, MRPL9,


MRPS10, MRPS15, MRPS16, MRPS18A, MRPS2, MRPS23, MRPS5, MRPS6, MRPS7,


MRRF, MRTFB, MS4A2, MS4A3, MS4A4A, MS4A4E, MS4A6A, MSANTD2, MSANTD3,


MSANTD4, MSH3, MSL1, MSR1, MSRB2, MT1E, MT1F, MT1X, MT2A, MT-ATP6,


MTCH2, MTERF2, MTF1, MTFR1, MTHFD1, MTHFD2, MTHFR, MTI F3, MTMR10,


MTMR14, MTMR6, MT-ND1, MT-ND2, MT-ND5, MT-ND6, MTPAP, MTR, MTX3,


MUC12, MUC16, MUC6, MUTYH, MVD, MVK, MX1, MXD3, MYBL1, MYBL2,


MYCBP, MYCT1, MYD88, MYDGF, MYEF2, MYH10, MYH11, MYH7B, MYL5, MYLIP,


MYO10, MYO1E, MY06, MYO7A, MYO9A, MYOF, MYPOP, MYZAP, MZB1, MZT1,


N4BP2L2, NAA20, NAA30, NAA80, NAALAD2, NACA2, NACC2, NAE1, NAGA,


NAGK, NAGLU, NAIP, NANS, NAP1L1, NAP1L2, NAP1L3, NAP1L5, NAPA, NAT8B,


NATD1, NAV1, NBEA, NBL1, NBPF3, NBR1, NCALD, NCAM1, NCAPG, NCAPH,


NCAPH2, NCBP2AS2, NCEH1, NCF2, NCK2, NCKAP1L, NCOA3, NCR1, NCR3,


NCR3LG1, NCSTN, NDRG2, NDUFA1, NDUFA11, NDUFA12, NDUFA2, NDUFA3,


NDUFA4, NDUFA6, NDUFA8, NDUFA9, NDUFAB1, NDUFAF1, NDUFAF3, NDUFB1,


NDUFB10, NDUFB3, NDUFB4, NDUFB5, NDUFB9, NDUFC1, NDUFS1, NDUFS2,


NDUFS3, NDUFS4, NDUFS5, NDUFS6, NDUFS7, NDUFV3, NECTIN1, NECTIN2,


NEDD4, NEIL1, NEK3, NEK4, NEK6, NEK7, NELL2, NEMF, NEO1, NET1, NETO2,


NEURL1, NFATC2, NFATC3, NFE2L3, NFE4, NFIA, NFIL3, NFS1, NHP2, NHSL1,


NIBAN2, NINL, NIP7, NIPA1, NIPA2, NIPAL2, NIPAL3, NIPSNAP2, NIPSNAP3A,


NKD1, NKG7, NKIRAS2, NLGN2, NLGN3, NLN, NLRC3, NLRC4, NLRP12, NLRP3,


NLRP6, NME1, NME2, NMNAT1, NMT2, NMUR1, NOCT, NOG, NOL10, NOL12, NOL3,


NOL4L, NOP10, NOP53, NOSIP, NOTCH1, NOTCH4, NOXA1, NPAT, NPC2, NPL,


NPR2, NPRL2, NPTXR, NR3C2, NREP, NRF1, NRG1, NRIP1, NRM, NRROS, NSDHL,


NSG1, NSMCE3, NSMF, NSUN2, NT5DC2, NT5DC3, NTRK1, NTSR1, NUAK1, NUBP1,


NUBP2, NUCB1, NUDT16, NUDT6, NUMA1, NUMBL, NUP37, NUP43, NUP58, NUP93,


NUSAP1, NUTF2, NUTM2F, NUTM2G, OAF, OAS1, OAS2, OAS3, OASL, OBSCN,


OCIAD2, OCLN, OCRL, ODF2L, OFD1, OGDH, OGFR, OLAH, OLFML2A, OLIG1,


OPA1, OPLAH, OPN3, OR2A4, OR2A7, OR2B6, ORAI1, ORAI2, ORAI3, ORC1, ORC2,


ORC5, ORMDL2, ORMDL3, OS9, OSBPL11, OSBPL5, OSBPL7, OSM, OSTC, OTOF,


OTUD3, OTUD7B, OTULINL, OXA1L, OXR1, P2RX4, P2RX7, P2RY1, P2RY10,


P2RY14, P2RY8, P3H4, P4HA1, P4HB, PABPC3, PACC1, PACS1, PACSIN1, PADI2,


PAFAH2, PAIP2B, PAK1IP1, PALLD, PANX1, PAPOLG, PAPSS1, PAQR4, PARD6B,


PARP10, PARP15, PARP16, PARP4, PARVG, PASK, PATJ, PATL2, PAX8, PAXX, PBX4,


PBXIP1, PCCB, PCDH9, PCED1A, PCF11, PCK2, PCMT1, PCNA, PCNX2, PCNX3,


PCOLCE, PCSK7, PCSK9, PCTP, PCYT2, PDCD10, PDCD4, PDCD6IP, PDCD7, PDE12,


PDE1B, PDE2A, PDE3B, PDE7A, PDGFC, PDGFD, PDHB, PDIA3, PDIA5, PDIA6, PDK2,


PDK4, PDP2, PDRG1, PDSS1, PDXK, PDZD2, PDZD4, PELP1, PEPD, PER1, PER3,


PET100, PEX1, PEX11G, PFDN6, PFKFB3, PFN2, PGA3, PGAM1, PGAM4, PGAP3,


PGBD2, PGD, PGGHG, PGK1, PGLS, PGLYRP1, PGM2, PGM2L1, PHAX, PHC1,


PHETA2, PHF1, PHF10, PHF13, PHF19, PHF20, PHKB, PHLDB2, PHLDB3, PHLPP2,


PHRF1, PI16, PI3, PICK1, PIGF, PIGL, PIGN, PIGS, PIK3C2B, PIK3CB, PIK3CD, PILRB,


PIM1, PIN1, PINK1, PIP5K1B, PITPNC1, PITPNM1, PITPNM2, PITRM1, PIWIL4, PJA1,


PJVK, PKIA, PKM, PKMYT1, PKN1, PKNOX1, PKP4, PLA2G12A, PLA2G15, PLA2G4A,


PLA2G6, PLA2G7, PLAA, PLAAT3, PLAU, PLBD1, PLCB3, PLCD1, PLCD3, PLCH2,


PLCL1, PLCXD2, PLD1, PLD3, PLD4, PLEKHA1, PLEKHA5, PLEKHB1, PLEKHB2,


PLEKHF1, PLEKHG2, PLEKHG3, PLEKHG5, PLEKHH2, PLEKHM2, PLGLB1, PLIN2,


PLIN3, PLK1, PLLP, PLOD1, PLP2, PLPBP, PLSCR1, PLXDC1, PLXDC2, PLXNA1,


PLXNA3, PLXNA4, PMAIP1, PMEL, PMVK, PNISR, PNKD, PNKP, PNN, PNP, PNPO,


PNRC1, PODN, PODXL, POFUT1, POFUT2, POLD3, POLDIP2, POLDIP3, POLE4,


POLQ, POLR2D, POLR2E, POLR2G, POLR2M, POLR3G, POLRMT, POMP, PON2,


POP7, POTEF, POTEI, POTEJ, POU2AF1, POU6F1, PPARD, PPARG, PPARGC1B,


PPCDC, PPCS, PPFIA3, PPFIBP2, PPIA, PPIB, PPIG, PPL, PPM1K, PPM1N, PPOX,


PPPICC, PPP1R12C, PPP1R13B, PPP1R15A, PPP1R16B, PPP1R2, PPP1R26, PPP1R35,


PPP1R37, PPP1R3D, PPP1R8, PPP2CB, PPP2R2B, PPP2R2D, PPP2R3B, PPP2R5C,


PPP3CC, PPP6C, PPT1, PRAF2, PRAG1, PRAM1, PRCP, PRDM1, PRDM11, PRDM8,


PRDX1, PRDX3, PRDX4, PRDX5, PRDX6, PREB, PRELID1, PREP, PRF1, PRKAA1,


PRKAB1, PRKACA, PRKACB, PRKAG1, PRKCH, PRKCQ, PRKCZ, PRKD2, PRKRIP1,


PRMT2, PRMT5, PROSER1, PRPF38A, PRPF38B, PRPF39, PRPF4, PRPF40B, PRR11,


PRR12, PRR14, PRR5, PRR5L, PRR7, PRRC2C, PRRG4, PRRT3, PRRT4, PRSS23,


PRSS33, PRSS53, PRSS57, PSAP, PSD, PSD3, PSD4, PSEN1, PSEN2, PSIP1, PSMA4,


PSMA5, PSMA6, PSMA7, PSMB1, PSMB2, PSMB3, PSMB5, PSMB6, PSMB7, PSMC1,


PSMD1, PSMD10, PSMD11, PSMD14, PSMD2, PSMD3, PSMD4, PSMD5, PSMD8,


PSMG1, PSMG2, PSPH, PSTK, PSTPIP2, PTBP1, PTBP2, PTCD1, PTCH1, PTDSS1,


PTGDR, PTGDR2, PTGDS, PTGER2, PTGER4, PTGFRN, PTGS2, PTK7, PTOV1,


PTP4A3, PTPA, PTPMT1, PTPN11, PTPN2, PTPN4, PTPN7, PTPN9, PTPRO, PTPRS,


PTRHD1, PTS, PTTG1, PTTG1IP, PUDP, PUM2, PURA, PUS7L, PVR, PXK, PXN,


PYCARD, PYGM, PYGO2, PYHIN1, PYM1, PZP, QRICH2, QSER1, QSOX1, QTRT2,


R3HDM1, RAB10, RAB11FIP3, RAB11FIP4, RAB11FIP5, RAB13, RAB15, RAB20,


RAB22A, RAB32, RAB34, RAB37, RAB39A, RAB39B, RAB43, RAB44, RAB6D, RAB7A,


RAB8A, RABEP2, RABGAP1L, RABL2B, RAC1, RACGAP1, RAD1, RAD23B,


RAD51AP1, RAD52, RAD9A, RADX, RALA, RALGDS, RAN, RANBP6, RAP2A, RAP2C,


RAPGEF5, RAPGEF6, RAPH1, RARG, RASA2, RASA3, RASAL3, RASGEF1B,


RASGRF2, RASGRP1, RASGRP2, RASSF1, RASSF2, RASSF5, RASSF7, RB1, RBBP6,


RBBP8, RBKS, RBL2, RBM14, RBM14-RBM4, RBM25, RBM34, RBM4, RBM45,


RBM48, RBMS2, RBP7, RBPMS, RBX1, RCAN1, RCAN3, RCBTB2, RCC1, RCC2, RCE1,


RCN2, RDH13, RDH14, RDH5, RDX, RECK, REEP4, REEP6, REM2, RENBP, RESF1,


REST, RETREG1, RETREG3, REX1BD, REXO1, RFC2, RFTN1, RFX1, RFXAP, RGL4,


RGMB, RGPD5, RGPD6, RGS1, RGS14, RGS16, RGS3, RGS6, RGS9, RHAG, RHBDD1,


RHBDF2, RHCE, RHEB, RHEBL1, RHO, RHOA, RHOBTB3, RHOC, RHOF, RHOQ,


RHOT1, RHOT2, RHOU, RHPN1, RIC1, RIC8B, RILPL1, RILPL2, RIMS3, RIN1, RIN2,


RINL, RIOK3, RIOX1, RMI1, RNASE1, RNASE2, RNASE3, RNASE6, RNF10, RNF103,


RNF126, RNF130, RNF135, RNF139, RNF144A, RNF144B, RNF165, RNF167, RNF175,


RNF181, RNF182, RNF216, RNF217, RNF41, RNF43, RNF44, RNF7, RNH1, RNPEP,


ROGDI, ROMO1, RORA, RPE, RPF1, RPGR, RPH3A, RPL13A, RPL17, RPL22L1,


RPL26L1, RPL3, RPN1, RPN2, RPRD2, RPS14, RPS27A, RPS27L, RPS29, RPS3, RPS5,


RPS6KA5, RPS6KC1, RPTOR, RPUSD2, RRAGA, RRAS, RRAS2, RRM2, RRP15,


RSAD1, RSAD2, RSBN1, RSBN1L, RSF1, RSPRY1, RSRP1, RTL6, RTL8C, RTN4,


RTRAF, RTTN, RUFY3, RUFY4, RUNDC1, RUNX3, RUSC2, RXFP2, RXFP4, RXRA,


RYK, RYR3, S100A10, S100A11, S100A12, S100A4, S100A6, S100A8, S100A9, S1PR1,


S1PR3, S1PR4, S1PR5, SACMIL, SAFB2, SALL2, SAMD10, SAMD3, SAMHD1,


SAMSN1, SAP30, SAP30L, SAPCD2, SAR1B, SARDH, SARM1, SASH1, SASS6, SAT2,


SBDS, SBF1, SBF2, SBK1, SCAI, SCAMP2, SCAP, SCAPER, SCARB1, SCARB2,


SCCPDH, SCD, SCD5, SCFD1, SCIMP, SCML4, SCNM1, SCP2, SCPEP1, SCR1B, SDC1,


SDC3, SDC4, SDCBP, SDCCAG8, SDE2, SDHB, SDHC, SDHD, SDK2, SEC11A, SEC23B,


SEC23IP, SEC24A, SEC24D, SEC31A, SEC61A1, SEC61A2, SEC61B, SEC61G,


SELENOF, SELENOM, SELENON, SELL, SEMA4A, SEMA4C, SEMA4F, SEMA6A,


SEMA6B, SEMA6C, SENP7, SEPHS2, SEPTIN1, SEPTIN10, SEPTIN2, SEPTIN4,


SEPTIN6, SEPTIN7, SEPTIN8, SEPTIN9, SERF1A, SERF2, SERHL2, SERP1, SERPINB1,


SERPINB10, SERPINB2, SERPINB8, SERPINB9, SERPINE1, SERPING1, SESTD1,


SETBP1, SETD1A, SETD1B, SETD3, SETD6, SETD7, SEZ6L, SF1, SF3A2, SF3B3, SFH,


SFMBT1, SFMBT2, SFSWAP, SFT2D1, SFXN4, SFXN5, SGCD, SGF29, SGIP1, SGK3,


SGMS1, SGMS2, SGO1, SGPP1, SGSH, SGSM1, SH2B1, SH2D1B, SH2D2A, SH2D3A,


SH2D3C, SH2D4A, SH3BGRL, SH3BGRL3, SH3BP1, SH3BP4, SH3PXD2B, SH3RF1,


SH3TC1, SH3YL1, SHCBP1, SHISA7, SHISAL2A, SHLD2, SHMT1, SHMT2, SHROOM1,


SHTN1, SIAE, SIAH2, SIDT1, SIGIRR, SIGLEC1, SIGLEC11, SIGLEC12, SIGLEC15,


SIGLEC16, SIGLEC9, SIKE1, SIL1, SIN3A, SIPA1, SIRPA, SIRPB2, SIRPD, SIVA1,


SKAP1, SKAP2, SKI, SKIV2L, SLAIN1, SLAMF1, SLAMF6, SLC11A1, SLC11A2,


SLC12A2, SLC13A4, SLC16A1, SLC16A11, SLC16A5, SLC16A6, SLC16A8, SLC19A2,


SLC1A3, SLC1A5, SLC1A7, SLC22A15, SLC22A16, SLC24A4, SLC25A11, SLC25A24,


SLC25A26, SLC25A29, SLC25A30, SLC25A38, SLC25A40, SLC25A42, SLC25A43,


SLC25A45, SLC25A5, SLC25A53, SLC25A6, SLC26A11, SLC26A6, SLC27A1, SLC27A3,


SLC29A2, SLC29A3, SLC2A4, SLC2A4RG, SLC2A5, SLC2A9, SLC30A1, SLC30A4,


SLC31A1, SLC31A2, SLC33A1, SLC35A1, SLC35A3, SLC35A5, SLC35B1, SLC35B3,


SLC35D1, SLC35D2, SLC35E2B, SLC35F6, SLC36A1, SLC36A4, SLC37A2, SLC38A1,


SLC38A2, SLC38A5, SLC38A7, SLC39A1, SLC39A11, SLC39A13, SLC39A7, SLC39A9,


SLC3A2, SLC41A1, SLC43A1, SLC43A3, SLC44A1, SLC45A3, SLC45A4, SLC46A2,


SLC49A3, SLC4A11, SLC4A2, SLC4A4, SLC4A5, SLC4A7, SLC50A1, SLC5A3,


SLC6A12, SLC6A16, SLC7A7, SLC9A3R1, SLC9A9, SLC9B2, SLCO4A1, SLF1, SLFN11,


SLFN12, SLFN12L, SLIRP, SLITRK4, SLPI, SMAD1, SMAD3, SMAD4, SMAD7,


SMARCAL1, SMARCD3, SMCO4, SMG7, SMIM10L2A, SMIM12, SMIM15, SMIM24,


SMIM27, SMIM3, SMIM4, SMPD3, SMS, SMTN, SMU1, SMURF2, SMYD3, SMYD4,


SNAPIN, SND1, SNF8, SNPH, SNRK, SNRNP25, SNRNP48, SNRNP70, SNRPB2,


SNRPC, SNRPD2, SNRPD3, SNRPG, SNTA1, SNTB1, SNUPN, SNURF, SNX1, SNX10,


SNX12, SNX17, SNX19, SNX2, SNX25, SNX29, SNX3, SNX30, SNX33, SNX5, SNX8,


SOAT1, SOCS2, SOCS6, SORBS3, SORD, SORL1, SORT1, SOWAHC, SOWAHD,


SOX12, SOX13, SOX8, SP4, SPAG16, SPAG5, SPATA33, SPATA5, SPATS2, SPATS2L,


SPCS1, SPCS2, SPDYE3, SPECC1, SPEF2, SPG21, SPG7, SPHK1, SPIDR, SPINDOC,


SPINT1, SPINT2, SPN, SPNS3, SPOCK1, SPOCK2, SPON1, SPON2, SPOUT1, SPR,


SPRN, SPRY2, SPRYD3, SPSB1, SPSB2, SPTAN1, SPTB, SPTBN5, SPTLC1, SPTLC2,


SPTSSA, SQLE, SQOR, SRA1, SRD5A1, SRD5A3, SRGAP1, SRGAP2, SRGAP2B,


SRGAP2C, SRGAP3, SRP54, SRP72, SRP9, SRPK2, SRPK3, SRPRA, SRRT, SRSF1,


SRSF11, SRSF5, SRSF7, SSBP3, SSBP4, SSR1, SSR3, SSR4, ST14, ST3GAL3, ST3GAL4,


ST6GAL1, ST6GALNAC3, ST6GALNAC4, ST8SIA1, ST8SIA6, STAB1, STAC3,


STAG3L3, STARD13, STARD3NL, STARD8, STARD9, STAT1, STAT2, STAT4,


STAT5B, STEAP3, STIL, STIM2, STING1, STK10, STK26, STK3, STK39, STMN3,


STMP1, STON1, STS, STT3A, STT3B, STX10, STX12, STX4, STYXL1, SUCLA2,


SUCLG1, SULT1A1, SULT1A2, SUMF1, SUMO3, SUN2, SUOX, SURF4, SUSD3, SV2A,


SVIP, SWAP70, SYDE2, SYK, SYN2, SYNE1, SYNE2, SYNE3, SYNGAP1, SYNGR2,


SYNJ2, SYNM, SYNRG, SYTL1, SYTL2, SYTL3, TAF10, TAF12, TAF3, TAF4, TAF7,


TAF9, TAGAP, TAGLN2, TAL1, TALDO1, TANC2, TAOK2, TARS1, TARS3, TBC1D1,


TBC1D10A, TBC1D10C, TBC1D13, TBC1D16, TBC1D17, TBC1D19, TBC1D2,


TBC1D25, TBC1D31, TBC1D3B, TBC1D3D, TBC1D3F, TBC1D3H, TBC1D3I, TBC1D3L,


TBC1D4, TBC1D5, TBC1D8, TBCC, TBKBP1, TBL2, TBX21, TBXAS1, TC2N, TCAF1,


TCAF2, TCAIM, TCEA2, TCEA3, TCEAL4, TCF20, TCF7, TCN1, TCN2, TCOF1,


TCP11L2, TCTEX1D4, TCTN2, TDRD9, TEC, TECR, TEDC1, TEF, TEFM, TENT4B,


TESPA1, TET3, TEX2, TEX52, TFCP2, TFDP1, TFDP2, TFEC, TFG, TFRC, TGFB3,


TGFBR1, TGFBR2, TGFBR3, TGM2, THAP1, THAP5, THAP7, THBS1, THBS4, THEM4,


THG1L, THOC6, THOC7, THUMPD1, THUMPD2, THUMPD3, TIAM2, TIGAR, TIGD1,


TIGD2, TIGD3, TIGD5, TIMM13, TIMM23, TIMM8B, TIMMDC1, TIMP1, TIMP2,


TIMP4, TJP3, TK1, TK2, TKFC, TKT, TKTL1, TLE2, TLN2, TLR2, TLR4, TLR5, TM2D3,


TM7SF3, TM9SF2, TM9SF4, TMA16, TMBIM6, TMC6, TMC8, TMCC2, TMCC3,


TMCO1, TMED8, TMED9, TMEM106A, TMEM11, TMEM115, TMEM116, TMEM120B,


TMEM121B, TMEM131, TMEM134, TMEM144, TMEM147, TMEM14A, TMEM14C,


TMEM150B, TMEM161B, TMEM165, TMEM167A, TMEM170B, TMEM179B,


TMEM181, TMEM184A, TMEM184B, TMEM185B, TMEM204, TMEM205, TMEM208,


TMEM218, TMEM219, TMEM222, TMEM230, TMEM243, TMEM25, TMEM254,


TMEM255A, TMEM255B, TMEM258, TMEM259, TMEM263, TMEM268, TMEM272,


TMEM273, TMEM38A, TMEM39A, TMEM39B, TMEM41B, TMEM45A, TMEM45B,


TMEM50B, TMEM60, TMEM62, TMEM63A, TMEM63C, TMEM64, TMEM65, TMEM67,


TMEM69, TMEM70, TMEM8B, TMEM9B, TMIGD2, TMIGD3, TMLHE, TMSB15B,


TMTC1, TMTC2, TMTC3, TMUB1, TMX1, TMX2, TNFAIP8L2, TNFRSF10B,


TNFRSF10C, TNFRSF10D, TNFRSF17, TNFRSF18, TNFRSF25, TNFSF10, TNFSF13,


TNFSF8, TNIK, TNNT3, TNRC6B, TNRC6C, TNS2, TNS3, TOB1, TOB2, TOE1,


TOGARAM2, TOLLIP, TOM1L2, TOMM22, TOMM40L, TOP1MT, TOP2A, TOPORS,


TOR1A, TOR3A, TOR4A, TOX, TOX4, TP53BP1, TP53BP2, TP53I13, TP53I3, TP53TG5,


TPCN2, TPI1, TPK1, TPM2, TPM4, TPMT, TPP1, TPPP, TPPP3, TPRG1, TPRG1L, TPST1,


TPX2, TRA2A, TRA2B, TRABD2A, TRADD, TRAF1, TRAF3IP3, TRAF4, TRAF7,


TRAFD1, TRANK1, TRAP1, TRAPPC10, TRAPPC11, TRAPPC2, TRAPPC3, TRAPPC4,


TRAPPC6A, TRAT1, TREM1, TREML2, TRERF1, TREX2, TRGC1, TRIM23, TRIM28,


TRIM32, TRIM33, TRIM46, TRIM56, TRIM59, TRIM62, TRIM7, TRIM71, TRIM73,


TRIP12, TRIP13, TRIQK, TRIR, TRMT10C, TRMT11, TRMT13, TRMT2B, TRMT6,


TRPC1, TRPC6, TRPM2, TRPS1, TSC22D4, TSEN54, TSG101, TSHR, TSHZ1, TSHZ2,


TSPAN13, TSPAN18, TSPAN2, TSPAN3, TSPAN32, TSPAN4, TSPO, TSPOAP1,


TSPYL1, TSPYL2, TSPYL4, TSSK6, TSTA3, TSTD1, TTC14, TTC16, TTC17, TTC22,


TTC3, TTC33, TTC38, TTC39B, TTC9, TTK, TTL, TTPAL, TUBA1A, TUBA1B, TUBB,


TUBB2A, TUBE1, TUBG1, TUBGCP2, TUBGCP3, TUBGCP6, TUFM, TUT4, TVP23C,


TWF2, TWSG1, TXLNG, TXN, TXN2, TXNDC11, TXNDC15, TXNDC17, TXNDC5,


TXNL1, TXNL4B, TXNRD2, TYMP, TYMS, TYSND1, UACA, UAP1L1, UBA1, UBA3,


UBAP1, UBAP1L, UBE2C, UBE2E1, UBE2E2, UBE2H, UBE2J1, UBE2K, UBE2L3,


UBE2L6, UBE2S, UBE3D, UBL3, UBQLN1, UBQLN2, UBQLN4, UBTD1, UBTD2,


UBTF, UBXN11, UBXN8, UCP3, UGCG, UGGT2, UNC119B, UNC13B, UNC50,


UNC5CL, UNC93B1, UNK, UNKL, UPF3B, UPP1, UPRT, UQCR10, UQCR11, UQCRC1,


UQCRC2, UQCRFS1, UQCRH, UQCRHL, UQCRQ, URI1, UROD, USP11, USP18, USP20,


USP21, USP39, USP41, USP42, USP51, USP54, USP6NL, USP9Y, UST, UTP11, UTP23,


UVRAG, UVSSA, VAMP1, VAMP2, VAMP3, VAMP4, VAMP5, VAMP7, VAMP8,


VAPA, VARS1, VASH1, VCAN, VDAC1, VDAC2, VDR, VEGFB, VENTX, VIM,


VIPAS39, VNN1, VPS11, VPS25, VPS26B, VPS26C, VPS35, VPS35L, VPS37A, VPS45,


VPS54, VRK2, VSIG1, VSIG10L, VSIG4, VTA1, VTI1B, VXN, WARS2, WASF1,


WASHC2A, WASHC2C, WASHC4, WASHC5, WASL, WDFY1, WDR12, WDR18,


WDR27, WDR35, WDR41, WDR54, WDR60, WDR61, WDR62, WDSUB1, WFDC1,


WHAMM, WHRN, WIPF1, WNT10B, WNT11, WNT7A, WSB1, WWC2, WWP1, XCL1,


XCL2, XK, XKR6, XKR8, XPC, XPNPEP1, XPNPEP2, XPO6, XPO7, XRCC2, XRCC3,


XRCC4, XRCC5, XRN2, XRRA1, XXYLT1, XYLT1, YAF2, YEATS2, YES1, YIF1A,


YIF1B, YIPF1, YIPF2, YIPF6, YPEL1, YPEL2, YPEL4, YPEL5, YRDC, YWHAE,


YWHAG, YWHAH, YY1, YY1AP1, ZAP70, ZBED2, ZBTB1, ZBTB10, ZBTB14, ZBTB16,


ZBTB18, ZBTB20, ZBTB25, ZBTB32, ZBTB38, ZBTB4, ZBTB40, ZBTB43, ZBTB44,


ZBTB46, ZBTB7A, ZC3H12B, ZC3H12C, ZC3H12D, ZC3H13, ZC3H6, ZC3H8,


ZC3HAV1, ZCCHC14, ZCCHC18, ZCCHC2, ZCCHC3, ZDHHC11, ZDHHC11B,


ZDHHC12, ZDHHC18, ZDHHC20, ZDHHC3, ZDHHC5, ZDHHC8, ZEB1, ZFAND5, ZFP1,


ZFP14, ZFP30, ZFP41, ZFP57, ZFP62, ZFP82, ZFP91, ZFPM1, ZFYVE26, ZFYVE27,


ZFYVE28, ZHX2, ZMAT5, ZMPSTE24, ZMYM1, ZMYM4, ZMYM5, ZMYND11,


ZMYND19, ZNF100, ZNF106, ZNF107, ZNF12, ZNF121, ZNF131, ZNF136, ZNF138,


ZNF148, ZNF160, ZNF169, ZNF175, ZNF182, ZNF200, ZNF213, ZNF236, ZNF248,


ZNF250, ZNF251, ZNF26, ZNF260, ZNF264, ZNF266, ZNF274, ZNF276, ZNF286A,


ZNF287, ZNF292, ZNF32, ZNF324, ZNF329, ZNF330, ZNF335, ZNF33B, ZNF345,


ZNF350, ZNF365, ZNF366, ZNF382, ZNF383, ZNF394, ZNF414, ZNF428, ZNF429,


ZNF430, ZNF439, ZNF44, ZNF441, ZNF446, ZNF461, ZNF469, ZNF48, ZNF483, ZNF486,


ZNF487, ZNF506, ZNF507, ZNF517, ZNF519, ZNF529, ZNF540, ZNF548, ZNF549,


ZNF552, ZNF562, ZNF566, ZNF567, ZNF568, ZNF569, ZNF570, ZNF573, ZNF574,


ZNF575, ZNF577, ZNF579, ZNF587, ZNF599, ZNF600, ZNF608, ZNF611, ZNF622,


ZNF644, ZNF652, ZNF665, ZNF674, ZNF680, ZNF688, ZNF697, ZNF699, ZNF703,


ZNF707, ZNF71, ZNF720, ZNF736, ZNF737, ZNF74, ZNF770, ZNF782, ZNF783, ZNF789,


ZNF793, ZNF80, ZNF827, ZNF83, ZNF830, ZNF831, ZNF836, ZNF850, ZNF853, ZNF862,


ZNF865, ZNF91, ZNF92, ZNHIT6, ZNRD2, ZRANB2, ZSCAN18, ZSWIM5, ZSWIM6,


ZSWIM9, ZW10, ZWINT, ZXDA, ZXDB


Lung-CoV2 to Lung-CTL (2,220 DEGs in Lung)


A2M, AAK1, ABCC3, ABCF1, ABB, ABLIM1, ABLIM3, ABR, ABT1, ABTB1, ACAD8,


ACADVL, ACO2, ACOD1, ACOT1, ACP2, ACSL1, ACSS1, ACTB, ACTL6A, ACTN4,


ACTR1B, ACVR1, ACVRL1, ADA2, ADAM15, ADAM17, ADAMDEC1, ADAMTS1,


ADAMTS13, ADAMTS2, ADAMTS9, ADAMTSL3, ADAP1, ADCY4, ADCY6,


ADCYAP1, ADD1, ADGRD1, ADGRE1, ADGRE5, ADGRG3, ADGRL2, ADH1B,


ADIPOR2, ADNP2, ADRA2A, AEBP1, AEBP2, AEN, AFAP1L1, AFDN, AFF4, AFG3L2,


AFMID, AGAP3, AGAP4, AGAP6, AGPAT2, AHNAK, AIF1L, AIM2, AIP, AKAP1,


AKAP13, AKAP17A, AKNA, AKR1B10, AKR1B15, AKT3, ALAS1, ALDH3A1, ALDOC,


ALKBH5, ALKBH6, ALOX5AP, ALPK1, ALPL, ALS2CL, AMBRA1, AMFR, AMOTL1,


ANAPC11, ANGEL1, ANGPTL2, ANGPTL6, ANKDD1A, ANKRD10, ANKRD22,


ANKRD54, ANKS1A, ANKZF1, ANO6, ANP32A, ANP32D, ANXA2R, ANXA6, AOC3,


AP2A2, APBB1IP, APH1A, APOBEC3A, APOL6, AQP1, AQP9, ARAP3, ARC, ARF5,


ARFGAP1, ARFRP1, ARHGAP10, ARHGAP4, ARHGAP9, ARHGDIB, ARHGEF15,


ARHGEF25, ARHGEF7, ARL13B, ARL5B, ARMC5, ARMC6, ARPC5L, ARRB2,


ARRDC2, ARSL, ASB1, ASB13, ASB6, ASB8, ASCL4, ASL, ASMTL, ASXL1, ASXL2,


ATAD3A, ATAD3B, ATF4, ATF6B, ATG101, ATG16L1, ATG4B, ATP1A1, ATP1B4,


ATP2A3, ATP5MF, ATP6V0A1, ATP6V0A2, ATP6V0D1, ATP7B, ATRX, ATXN7L3,


AUP1, B4GALT2, B4GALT3, B4GALT7, BAALC, BAG3, BAG6, BAIAP2, BAIAP2L1,


BANF1, BANP, BAP1, BASP1, BAZ2A, BBOF1, BBS1, BBS4, BCAR1, BCAT1, BCAT2,


BCL2A1, BCL2L14, BCL2L2, BCL3, BCOR, BEST1, BHLHE40, BIN1, BIN2, BIN3,


BLCAP, BLOC1S1, BMS1, BRD9, BSDC1, BST1, BTBD17, BTBD19, BTG2, BTN2A2,


BTNL9, BUD13, BUD23, BYSL, C12orf10, C12orf57, C14orf132, C15orf48, C19orf84,


C1orf194, C1orf216, C1QB, C1QC, C1QTNF1, C2, C20orf203, C20orf27, C2CD2, C3AR1,


C3orf86, C4orB, C4orf50, C5AR1, C6, C6orf201, C6orf47, C7orf25, C7orf50, C8A,


C8orB3, C8orf58, CA1, CA12, CA8, CAB39L, CACNA1A, CACNA1C, CACNA1E,


CACNG6, CALHM2, CALR, CAMP, CANT1, CAP1, CAPRIN2, CAPZA1, CARD16,


CARD17, CASP1, CASP4, CASP5, CAVIN1, CAVIN3, CBFA2T2, CBX4, CBX7, CCAR1,


CCDC124, CCDC130, CCDC137, CCDC185, CCDC186, CCDC194, CCDC38, CCDC57,


CCDC60, CCDC69, CCDC71L, CCDC84, CCDC86, CCDC9, CCL11, CCL15, CCL18,


CCL19, CCL2, CCL3, CCL3L1, CCL4, CCL4L2, CCL7, CCL8, CCM2, CCN2, CCN5,


CCND1, CCND3, CCNL2, CCPG1, CCR1, CCR7, CCRL2, CCT4, CCT5, CCT8, CD164,


CD2BP2, CD320, CD34, CD37, CD38, CD4, CD53, CD55, CD69, CD74, CD82, CD8A,


CD9, CDA, CDC37, CDC42BPB, CDCA7, CDH11, CDH2, CDH5, CDHR5, CDK10,


CDK18, CDK4, CDK9, CDKN2AIP, CEACAM1, CEACAM3, CEACAM6, CEACAM8,


CELA3B, CEMIP2, CENPC, CENPT, CEP68, CERK, CERS5, CERS6, CERT1, CETN1,


CFAP20, CFAP300, CFAP36, CFAP77, CFL1, CFLAR, CGRRF1, CHD2, CHI3L1, CHI3L2,


CHID1, CHIT1, CHMP1A, CHRAC1, CHROMR, CIB1, CIRI, CIRBP, CKB, CKS1B, CLC,


CLCN6, CLDN2, CLDN4, CLDN5, CLEC12A, CLEC12B, CLEC1A, CLEC4A, CLEC4D,


CLEC4E, CLEC7A, CLIC3, CLIP4, CLPS, CLPTM1L, CMC2, CMPK2, CMTM2, CNOT1,


CNST, CNTN2, CNTROB, COASY, COG1, COG4, COL12A1, COL16A1, COL2A1,


COL9A2, COLGALT1, COPZ2, CORO1C, COX4I1, CPA5, CPAMD8, CPE, CPLX2,


CPSF7, CPXM2, CR1, CRABP1, CRAMP1, CRCT1, CREB3L2, CREBZF, CRELD2,


CRIP2, CRISP3, CRTC2, CRY2, CRYAB, CSF2RB, CSF3R, CSNK1A1, CSNK1D,


CSNK2A2, CSNK2B, CSPG4, CSRNP1, CST7, CSTA, CTCF, CTDP1, CTDSP2, CTF1,


CTPS1, CTSE, CTSL, CTSS, CTTN, CUL1, CUL9, CWC22, CWF19L2, CXCL10,


CXCL11, CXCL16, CXCL17, CXCR2, CXorf21, CXorf40A, CXorf40B, CXXC5, CYB5R1,


CYBB, CYBRD1, CYC1, CYHR1, CYP19A1, CYP1A1, CYP24A1, CYP2J2, CYP3A5,


CYP4F3, CYP7B1, CYSTM1, CYTH1, CYTIP, DAAM1, DAAM2, DAB2IP, DAPK3,


DAPP1, DAXX, DBF4B, DBNDD1, DCAF12L1, DCAF13, DCAF5, DCDC2C, DCHS1,


DCUN1D3, DCUN1D4, DDB1, DDB2, DDR2, DDT, DDTL, DDX23, DDX39A, DDX42,


DDX5, DDX56, DDX58, DDX60, DDX60L, DENND2A, DENND3, DEPP1, DES, DGKD,


DGKE, DHDDS, DHPS, DHRS9, DHX29, DHX32, DHX9, DIAPH1, DIDO1, DIP2A,


DIPK2B, DISP1, DKK3, DLG4, DLK1, DLL1, DLL4, DLST, DLX2, DMBT1, DMRT1,


DMRTB1, DNAAF1, DNAAF3, DNAH7, DNAJB2, DNAJC11, DNAJC7, DNASE1,


DNMT1, DNPEP, DNTTIP1, DOCK1, DOCK6, DOCK9, DOK2, DOK3, DOK4, DPH1,


DPH2, DPH7, DPM3, DPP7, DPT, DPYSL3, DRD2, DST, DTX3, DTX4, DUSP1, DUSP10,


DUSP7, DYNLT1, DYRK2, DYRK3, E2F4, EBLN1, EBNA1BP2, ECE1, EDC3, EDC4,


EDNRA, EED, EEF2, EFEMP2, EFL1, EFNA1, EFNB1, EGF, EGFL7, EGR1, EGR2,


EIF1B, EIF2AK2, EIF2AK4, EIF2B4, EIF2B5, EIF2D, EIF3B, EIF3D, EIF3G, EIF3L,


EIF4A1, EIF4E2, EIF4G1, ELAC2, ELP1, EMC9, EMP1, EMP2, EN2, ENDOD1, ENG,


ENKD1, ENO2, ENOSF1, ENTPD6, ENTR1, EOMES, EPAS1, EPB41L1, EPC1, EPHA2,


EPHA7, EPHB4, EPN2, EPOP, EPSTI1, ERBB2, ERCC1, ERRFI1, ESF1, ETS1, ETV1,


EVI2A, EVI2B, EVI5, EVL, EXOC2, EXOC3, EXOSC7, EXOSC8, EZR, F2RL3, F5, F8A1,


F8A3, FABP6, FAM107A, FAM110D, FAM118A, FAM126A, FAM131A, FAM13B,


FAM151B, FAM160A2, FAM168B, FAM174B, FAM174C, FAM177B, FAM193A,


FAM199X, FAM207A, FAM20B, FAM20C, FAM214B, FAM234A, FAM32A, FAM3A,


FAM53B, FAM71D, FAM72A, FAM83G, FAM8A1, FAM9A, FAR2, FARS2, FARSA,


FASTK, FASTKD2, FAXDC2, FBH1, FBP1, FBXO31, FBXO39, FBXO9, FBXW4,


FBXW5, FCER1G, FCGR1A, FCGR2A, FCGR3A, FCGR3B, FCN1, FDCSP, FDPS, FER,


FES, FFAR2, FGD4, FGD5, FGFR1, FGG, FGL1, FGL2, FGR, FHL1, FHL3, FHOD1, FIBP,


FIS1, FKBP1A, FLAD1, FLG, FLG2, FLNA, FLNC, FLT1, FLT4, FLYWCH2, FNBP4,


FOS, FOSB, FOXD3, FOXD4L1, FOXJ2, FOXK2, FOXN3, FOXO4, FOXP2, FPR1, FPR2,


FREM2, FRMD6, FRYL, FXYD6, FYB1, FZD4, G6PD, GAB4, GABRA5, GADD45A,


GADD45B, GADD45G, GAK, GAL, GALNT15, GALNT18, GAN, GAPT, GAS5, GAS6,


GATA2, GATD3A, GBA2, GBP1, GBP3, GBP4, GBP5, GCA, GCFC2, GCH1, GCNT3,


GDPD5, GEM, GFOD1, GGA1, GGA2, GGA3, GIMAP1, GIMAP6, GIMAP7, GIPC1,


GJA4, GJA5, GK, GKN2, GLDN, GLG1, GLRX, GLT8D1, GMFG, GMPPA, GMPR,


GNA11, GNA12, GNG11, GNG2, GNG5, GNL1, GNL2, GNLY, GOLGA3, GOLGA6L4,


GOLGA8A, GOLGA8B, GON4L, GPAT4, GPD1L, GPM6B, GPN3, GPR141, GPR37L1,


GPR65, GPR68, GPR84, GPRC5B, GPSM3, GPX1, GPX2, GRB10, GRB7, GRPEL2,


GRSF1, GRWD1, GSDMD, GSK3A, GSN, GSS, GSTO1, GTF2B, GTF3C5, GTPBP4,


GTPBP6, GTSF1, GUCD1, GUCY1A2, GUK1, H19, H2AC18, H2AC19, H2AC20, H2AC6,


H2AJ, H2BC18, H2BC21, H2BC4, H2BC5, H2BC7, H4C8, HABP4, HAMP, HARS2,


HAUS2, HBA1, HBA2, HBB, HBD, HBG1, HBS1L, HCAR1, HCAR2, HCFC1R1, HCK,


HCST, HDAC3, HDAC7, HDLBP, HECTD1, HELB, HELZ2, HERC2, HERC5, HERC6,


HERPUD1, HES1, HESX1, HEXA, HEXB, HEYL, HIF3A, HINFP, HIPK1, HIPK2, HJURP,


HLA-A, HLA-B, HLA-DQA1, HLA-DQB1, HLA-DRB1, HLA-DRB5, HMCES, HMGCS1,


HMGN3, HMGXB3, HMOX1, HNRNPAB, HNRNPH1, HNRNPM, HOXA5, HOXB1, HP,


HPGDS, HPR, HPS4, HS1BP3, HS3ST3A1, HSDL1, HSFX1, HSFX2, HSH2D, HSPA12B,


HSPA2, HSPA6, HSPA8, HSPB6, HSPB7, HTR1A, HTRA3, HYAL1, HYAL2, HYOU1,


ICAM2, ID2, ID3, IDH2, IDO1, IER2, IER3, IER5L, IFFO1, IFI44, IFI44L, IFI6, IFIH1,


IFITI, IFITIB, IFIT2, IFIT3, IFIT5, IFITM1, IFITM2, IFITM3, IFNA10, IFNA17, IFNA21,


IFNA4, IFNA6, IFNL1, IFT43, IGFBP1, IGFLR1, IGLL1, IGLL5, IGSF3, IGSF6, IL12B,


IL17C, IL18RAP, ILIA, IL1B, IL1R2, ILIRN, IL27, IL2RG, IL4R, ILF3, ILKAP, ILRUN,


ILVBL, IMPDH2, INAFM1, ING2, ING5, INMT, INO80E, INPP1, INPP5A, INPP5K,


INSM1, INSYN2B, INTS10, INTS11, INTS3, IPO8, IQCM, IRF2, IRF7, ISG15, ISG20L2,


IST1, ITGA10, ITGA5, ITGA8, ITGB3, ITGB8, ITM2A, ITM2C, ITPA, ITPKB, ITPKC,


ITPR3, ITPRIP, JADE1, JAG1, JAK3, JAM3, JCAD, JCHAIN, JMJD6, JOSD2, JUN, JUND,


KANK2, KAT5, KCNE1, KCNEIB, KCNJ2, KCNK17, KCNK3, KCTD10, KCTD11,


KCTD12, KCTD2, KCTD20, KCTD3, KDM1A, KDM3A, KHDRBS3, KIAA0100,


KIAA0355, KIAA0513, KIAA0825, KIAA0930, KIAA1671, KIF1C, KIF22, KIF3B, KIFC2,


KLF10, KLF11, KLF13, KLF4, KLHDC3, KLHDC4, KLHDC7B, KLHL21, KLHL3,


KLHL42, KMT2A, KMT5A, KNDC1, KPRP, KRI1, KRIT1, KRT17, KRT19, KRT72,


KRT81, KSR1, LAGE3, LAMA2, LAMA4, LAMB1, LAMC3, LAMP3, LAMTOR4,


LARGE1, LARP6, LAS1L, LASP1, LBH, LBP, LCE1C, LCN2, LCP1, LCP2, LDB1,


LDLRAP1, LENG8, LEPR, LGALS9, LGALS9B, LGALS9C, LGI1, LGI4, LHFPL6, LIF,


LIFR, LILRA1, LILRA5, LILRA6, LILRB2, LILRB3, LILRB5, LIPA, LITAF, LMANIL,


LMAN2L, LMBR1L, LMNA, LMNB1, LMO2, LMOD1, LONP1, LOR, LPAR6, LPCAT4,


LRATD2, LRFN1, LRFN3, LRIG1, LRPAP1, LRRC1, LRRC15, LRRC32, LRRC47,


LRRC74A, LRRFIP1, LRRK2, LRRTM1, LSM7, LSS, LST1, LTF, LTO1, LUC7L,


LUC7L3, LUZP1, LY6E, LY86, LY96, LYN, LYPLA1, LYRM4, LYVE1, LZTR1, LZTS1,


LZTS2, MACC1, MADD, MAF1, MAFF, MAFG, MAFK, MAGEB16, MAN1B1,


MAN2C1, MAP2K3, MAP2K6, MAP2K7, MAP3K14, MAP3K6, MAP3K7CL, MAP4,


MAP4K5, MAPK11, MAPK9, MAPKAPK2, MARCHF2, MARCKS, MARK3, MARS1,


MAST2, MAT2A, MBD3, MBIP, MCAM, MCF2L, MCM3AP, MCM7, MCTP2, MCTS1,


MDC1, MDGA2, MDH1B, ME3, MED11, MED15, MED18, MED24, MEDAG, MEF2D,


MEIS1, MEPCE, METTL17, METTL3, METTL7A, METTL7B, MFAP1, MFGE8, MFN2,


MFNG, MFSD6, MGAM, MGAT5B, MGLL, MICAL1, MICB, MIER1, MIF4GD, MINK1,


MLLT10, MLNR, MLXIP, MMAB, MMP1, MMP10, MMP12, MMP14, MMP25, MMP28,


MMP8, MNDA, MOAP1, MOB2, MON2, MORC2, MPHOSPH10, MPHOSPH8, MPLKIP,


MPPED1, MPRIP, MPV17, MPZL1, MRFAP1L1, MRNIP, MRPL11, MRPL28, MRPL44,


MRPL55, MRPS2, MRTFA, MS4A15, MS4A3, MSTO1, MTA2, MTA3, MTCH1, MT-CO1,


MT-CO2, MT-CO3, MTFR1L, MTHFR, MT1F3, MTLN, MTURN, MTX1, MUC5AC,


MUL1, MVP, MX1, MX2, MXD1, MXD4, MXRA7, MYADM, MYBBP1A, MYC,


MYCBP2, MYCT1, MYL1, MYO15B, MYO1D, MYO1G, MYO9B, MYOM2, MYOZ2,


MYZAP, MZB1, MZT2B, NAA10, NAA35, NAA38, NAA60, NAB2, NADSYN1, NAP1L4,


NASP, NAT10, NAT9, NBL1, NBN, NBPF26, NCALD, NCAPH2, NCBP2AS2, NCF4,


NCKIPSD, NCR1, NDNF, NDRG1, NDRG2, NDST1, NDST2, NDUFA4L2, NDUFAB1,


NDUFS2, NDUFS6, NDUFS8, NDUFV1, NEBL, NECAP1, NEIL2, NEK7, NELFA,


NELFB, NELFE, NEMP2, NES, NETO1, NEXN, NF2, NFATC2, NFATC4, NFKBID,


NFRKB, NFX1, NIBAN2, NIPAL3, NISCH, NKD1, NKPD1, NLE1, NLRP1, NME1, NMI,


NMRAL1, NOC2L, NOD1, NOL4, NOL8, NOP10, NOP16, NOP53, NOP56, NOP9,


NORAD, NOSIP, NOTCH2, NOTCH4, NOTO, NPC1, NPIPB11, NPIPB12, NPIPB13,


NPIPB3, NPIPB4, NPIPB5, NPR1, NPR3, NR1D2, NR2C2, NR2C2AP, NR4A1, NRBP1,


NRIP1, NSD2, NSUN4, NT5C3A, NT5DC2, NTNG2, NTRK2, NUAK1, NUDCD3,


NUMA1, NUP188, NUPR1, NYNRIN, NYX, OAS1, OAS2, OAS3, OASL, OBSCN, ODC1,


OLIG1, OLR1, ONECUT1, OR13G1, OR2AT4, OR2C1, ORAI2, OS9, OSBPL10, OSGEP,


OTUD3, OTUD7B, OTULINL, OTX1, OXCT1, P2RY13, P2RY14, P3H1, P4HB, PACS2,


PACSIN2, PACSIN3, PADI2, PADI4, PAK1, PALD1, PALMD, PAMR1, PAN2, PAPPA,


PAQR9, PARD3, PARL, PARP2, PARP9, PARVB, PATL1, PAX9, PAXX, PBXIP1,


PCAT1, PCBP1, PCDH1, PCDH12, PCGF3, PCGF5, PCID2, PCNX3, PCSK9, PCTP,


PDCD11, PDE2A, PDE4B, PDE9A, PDGFB, PDGFRB, PDGFRL, PDIA5, PDIA6, PDK4,


PDLIM3, PDLIM4, PDPK1, PDRG1, PDXK, PEAK1, PELI1, PELO, PER1, PER3, PEX5,


PFKL, PFN1, PGAM4, PGAP6, PGF, PGLYRP1, PHC2, PHF11, PHLDA2, PHLDA3,


PHLDB1, PHPT1, PI4K2A, PI4K2B, PI4KA, PI4KB, PIAS3, PIEZO1, PIGR, PIGU,


PIH1D1, PIK3AP1, PIK3IP1, PIK3R4, PILRA, PIM2, PIN4, PIP4P1, PISD, PJA1, PKLR,


PKN1, PLA2G7, PLAAT2, PLAAT3, PLAC8, PLAC9, PLBD1, PLCD1, PLCG1, PLEK,


PLEKHA4, PLEKHG3, PLEKHJ1, PLEKHM1, PLEKHM2, PLEKHO1, PLEKHO2,


PLEKHS1, PLK2, PLLP, PLP2, PLPP1, PLPP3, PLSCR4, PLXNA2, PLXNB1, PLXNB2,


PLXND1, PML, PMPCB, PNISR, PNLDC1, PNMA5, PNP, PNRC1, PODN, PODXL,


POFUT2, POLDIP3, POLR1E, POLR2D, POLR2K, POLR3C, POLR3GL, POM121C,


POMT2, POMZP3, POP5, POU2AF1, POU6F1, PPARGC1B, PPDPF, PPIB, PPID, PPIG,


PPIH, PPM1F, PPM1M, PPPI1CA, PPP1R12A, PPP1R12C, PPP1R13B, PPP1R14A,


PPP1R14B, PPP1R16B, PPP1R3C, PPP2R5B, PPP3R1, PPP6R2, PPRC1, PQBP1, PRDM2,


PRDM8, PRDX1, PRDX2, PRELID1, PRKAB1, PRKAR1B, PRKAR2A, PRKX, PRMT1,


PRMT7, PRMT9, PROK2, PRPF39, PRPF6, PRR13, PRR14L, PRR3, PRR36, PRSS16,


PRX, PSENEN, PSMA4, PSMB1, PSMB10, PSMB4, PSMC1, PSMC3, PSMC5, PSMC6,


PSMD2, PSMD4, PSMD6, PSMD7, PSMD8, PSME3, PSTPIP2, PTCD3, PTDSS2, PTGDS,


PTGIS, PTH1R, PTK2B, PTK7, PTMS, PTP4A3, PTP A, PTPN1, PTPN13, PTPN3, PTPRC,


PTPRM, PTPRZ1, PUF60, PUS1, PVR, PWP2, PWWP2A, PWWP3A, PWWP3B, PXDC1,


PXDN, PXN, PYCR2, PYGO2, QARS1, QSOX1, QTRT1, R3HCC1, RAB11FIP3, RAB34,


RAB4A, RAB8B, RABGAP1L, RABGGTA, RAC2, RACK1, RAF1, RAI2, RALGDS,


RAMP3, RANBP10, RANBP3, RANGAP1, RAPGEF1, RAPGEF3, RARRES2, RASA3,


RASD2, RASGEF1B, RASGEF1C, RASIP1, RASL11A, RASL12, RASSF1, RASSF10,


RBFOX2, RBM10, RBM11, RBM19, RBM33, RBM6, RBP4, RCAN1, RCC2, RCE1, RCN2,


RCOR1, RECK, REPS2, RETREG3, REV3L, REX1BD, RFC1, RFLNB, RFTN1, RFXANK,


RGCC, RGL4, RGP1, RGPD1, RGPD2, RGPD3, RGPD4, RGPD5, RGPD6, RGS12, RGS18,


RGS3, RGS4, RHBDD2, RHBDF1, RHOC, RHOH, RIMS3, RIOK2, RIPOR2, RMDN1,


RMND5A, RMND5B, RNASE2, RND1, RND3, RNF113A, RNF122, RNF144A, RNF149,


RNF152, RNF168, RNF175, RNF185, RNF19B, RNF25, RNF4, RNF40, RNMT, RNPS1,


RNU4ATAC, ROBO3, ROBO4, RP2, RPAIN, RPH3A, RPIA, RPL13, RPL18, RPL3,


RPL36AL, RPL8, RPLP0, RPRD1A, RPS19BP1, RPS28, RPS5, RPS6KA2, RPS9, RPSA,


RPTOR, RRAD, RRP1, RRP12, RRP7A, RSAD1, RSAD2, RTKN2, RTN3, RTP4,


RUVBL2, RXRB, S100A11, S100A12, S100A13, S100A16, S100A2, S100A8, S100A9,


S100P, S100PBP, S1PR2, SAA1, SAA2, SAE1, SAFB, SAFB2, SAMD9, SAMD9L,


SAMSN1, SARS1, SASH1, SAT1, SCAF4, SCAMP4, SCGB1A1, SCN2A, SCN4B, SCN7A,


SCNN1G, SCP2D1, SCRN2, SCYL1, SDC3, SDHAF1, SEC16A, SEC23A, SEC23IP,


SELENBP1, SELL, SELP, SEM1, SEMA3B, SEMA3F, SEMA4C, SEMA6B, SENP3,


SENP5, SEPHS1, SEPTIN14, SEPTIN8, SEPTIN9, SERF2, SERPINA1, SERPINB2,


SERPINB6, SERPINB9, SERPINE2, SERTAD1, SERTAD3, SESN2, SEZ6L2, SF3A2,


SF3B1, SF3B4, SF3B5, SFN, SFRP2, SFT2D1, SFTPC, SGCA, SGIP1, SGK1, SGSM2,


SGTA, SH3BGRL3, SH3BP5, SH3D19, SH3PXD2A, SH3PXD2B, SH3RF1, SH3TC1,


SHANK3, SHC2, SHE, SHFL, SHOC1, SIDT2, SIGLEC14, SIGLEC5, SIK2, SIRPB1,


SIRT1, SIVA1, SKIV2L, SKOR1, SLAMF7, SLC24A4, SLC25A23, SLC25A25,


SLC25A29, SLC25A3, SLC25A30, SLC25A36, SLC25A4, SLC25A44, SLC25A6,


SLC26A8, SLC30A4, SLC35A4, SLC35B2, SLC35F1, SLC35F2, SLC35G2, SLC38A5,


SLC39A7, SLC39A8, SLC41A3, SLC44A2, SLC5A7, SLC66A2, SLC6A8, SLC9A1,


SLCO2B1, SLF2, SLIT2, SLIT3, SLK, SMAD7, SMAP2, SMARCA4, SMARCB1,


SMARCD2, SMC3, SMG5, SMIM25, SMIM27, SMIM3, SMPD4, SMTN, SMURF1,


SNAH, SNAPC2, SNCG, SNHG3, SNRNP200, SNRNP70, SNRPA1, SNX10, SNX11,


SNX25, SOCS1, SOCS2, SOGA1, SOS1, SP110, SP140, SP140L, SPAG6, SPARCL1,


SPATA16, SPATA31E1, SPEM2, SPG7, SPHK1, SPH, SPOUT1, SPRED1, SPRR2E,


SPRYD3, SPTLC2, SQSTM1, SREK1, SRGN, SRSF5, SRSF7, SSH1, SSNA1, ST6GAL1,


ST6GAL2, ST6GALNAC4, ST8SIA2, STAB1, STAG1, STAP1, STAP2, STARD3,


STARD8, STARD9, STAT1, STAT2, STAT4, STAT5A, STC1, STEAP1, STEAP4, STK16,


STK25, STK38, STK40, STN1, STRIP1, STRN4, STUB1, STX11, STXBP6, STYX,


SUCNR1, SUGP1, SULT1A1, SULT1A2, SULT1B1, SUN1, SUN3, SUN5, SUPT6H,


SURF1, SURF6, SYAP1, SYN1, SYNE1, SYNM, SYNPO, SYNPO2L, SYT11, TACC1,


TAF1, TAFA2, TAGAP, TAGLN, TANC1, TANC2, TAOK3, TAPI, TARBP2, TARS3,


TATDN2, TAZ, TBC1D17, TBC1D2B, TBC1D9, TBC1D9B, TBCEL, TBP, TBX2, TCEA3,


TCEAL9, TCERG1, TCF21, TCF24, TCF25, TCF7L1, TCN1, TEAD3, TECPR1, TEF,


TET2, TEX10, TEX264, TEX9, TFEC, TFIP11, TFPI2, TGFBR1, TGFBR2, THAP2,


THAP7, THBD, THBS3, THEM4, THOC6, THSD7B, THUMPD3, TIMM13, TIMM23,


TIMM44, TIMP3, TINAGL1, TJAP1, TLE3, TLE4, TLR1, TLR7, TM4SF20, TMBIM1,


TMC6, TMEM100, TMEM109, TMEM125, TMEM154, TMEM171, TMEM176B,


TMEM200B, TMEM208, TMEM235, TMEM245, TMEM252, TMEM255B, TMEM39B,


TMEM45B, TMEM51, TMEM52B, TMEM71, TMEM74B, TMEM88, TMOD1, TMPRSS2,


TMTC1, TNF, TNFAIP1, TNFAIP6, TNFRSF10B, TNFRSF14, TNFSF10, TNFSF13B,


TNFSF14, TNFSF8, TNIK, TNIP2, TNIP3, TNNC1, TNS1, TNS2, TNXB, TOE1, TOLLIP,


TOM1L2, TOMM34, TOP2A, TOR1B, TP53BP1, TP53BP2, TP73, TPCN1, TPD52L2,


TPP1, TPRG1L, TPSAB1, TPSB2, TPST1, TRAF2, TRAF5, TRAK1, TRAK2, TRAPPC10,


TREM1, TREML4, TRGC1, TRIB3, TRIM21, TRIM22, TRIM29, TRIM38, TRIM5,


TRIM69, TRIO, TRIP10, TRIR, TRIT1, TRMT61A, TRNAU1AP, TRPC4AP, TRPC6,


TRPM5, TRPM8, TRRAP, TSC1, TSC22D3, TSFM, TSPAN18, TSPAN4, TSPAN9,


TSPYL2, TSR1, TSSC4, TTC14, TTC31, TTC7A, TTL, TUBA1A, TUBA1B, TUBA1C,


TUBA4A, TUBB2A, TUBB2B, TUBB4B, TUBB6, TUBGCP2, TUBGCP3, TUBGCP6,


TULP3, TUSC7, TUT4, TWF2, TWNK, TXLNA, TXNDC11, TYROBP, UACA, UBA7,


UBB, UBC, UBE2J2, UBE2L6, UBIAD1, UBL4A, UBR4, UBTF, UBXN1, UCP2,


UNC13B, UNC80, UNC93A, UPK2, UPK3B, UPP1, UQCC2, UQCRC1, URB1, URGCP,


URM1, UROD, USB1, USP15, USP18, USP19, USP20, USP22, USP30, USP40, USP47,


USP53, USP7, UTP14C, UTP20, UTP6, VASN, VASP, VAX1, VCPKMT, VIPR1, VLDLR,


VNN2, VOPP1, VPS11, VPS13D, VPS16, VPS18, VPS28, VPS37B, VPS39, VPS8,


VSIG10L, VSIG2, VSTM4, VWA7, VWF, WAS, WASHC1, WBP1L, WDR13, WDR37,


WDR43, WDR74, WDR75, WDR91, WIPF1, WIPI1, WIPI2, WNT2B, XAB2, XAF1,


XAGE1A, XAGE1B, XKR9, XPC, XPO5, XRCC6, XRN1, YARS1, YKT6, YPEL3, ZBP1,


ZBTB10, ZBTB17, ZBTB34, ZBTB44, ZBTB5, ZC3H7B, ZC3HAV1, ZCCHC24, ZCCHC7,


ZDHHC11B, ZDHHC19, ZDHHC7, ZFAND2B, ZFP36L2, ZFYVE19, ZMYM2, ZNF106,


ZNF133, ZNF154, ZNF160, ZNF263, ZNF3, ZNF320, ZNF330, ZNF331, ZNF384,


ZNF385A, ZNF385D, ZNF394, ZNF395, ZNF426, ZNF451, ZNF480, ZNF496, ZNF513,


ZNF585B, ZNF599, ZNF622, ZNF692, ZNF697, ZNF761, ZNF83, ZNF841, ZNRD2,


ZNRF4, ZPLD1, ZRANB1, ZRSR2, ZSCAN18, ZSWIM7, ZSWIM8, ZZEF1


BAL-CoV2 to PBMC-CoV2 (8,959 DEGs in Airway)


A2M, A2ML1, A4GNT, AAAS, AACS, AADAT, AAGAB, AAMP, AANAT, AARS2,


AASDHPPT, AASS, AATF, AATK, ABCA1, ABCA12, ABCA13, ABCA2, ABCA3,


ABCA5, ABCA6, ABCA7, ABCB1, ABCB10, ABCB11, ABCB7, ABCB8, ABCB9,


ABCC1, ABCC10, ABCC2, ABCC3, ABCC4, ABCD1, ABCD2, ABCD3, ABCD4, ABCE1,


ABCF2, ABCF3, ABCG1, ABCG8, ABHD10, ABHD12, ABHD12B, ABHD13, ABHD16A,


ABHD17A, ABHD17B, ABHD17C, ABHD2, ABHD3, ABHD6, ABHD8, ABH, ABI3BP,


ABITRAM, ABL1, ABL2, ABT1, ABTB1, ACAA1, ACAA2, ACACB, ACAD10, ACAD8,


ACAD9, ACADL, ACADM, ACADS, ACADSB, ACADVL, ACAP1, ACAP2, ACAP3,


ACAT1, ACBD3, ACBD4, ACBD5, ACCS, ACD, ACE, ACE2, ACHE, ACIN1, ACLY,


ACO1, ACO2, ACOD1, ACOT1, ACOT11, ACOT13, ACOT2, ACOT4, ACOT7, ACOT8,


ACOX1, ACOX2, ACOX3, ACP2, ACP5, ACPP, ACRBP, ACSF3, ACSL4, ACSL5,


ACSL6, ACSM3, ACSM6, ACSS1, ACSS2, ACSS3, ACTB, ACTG1, ACTL6A, ACTN4,


ACTR1A, ACTR1B, ACTR2, ACTR3C, ACVR1, ACVR1C, ACVR2A, ACVRL1, ACYP2,


ADA2, ADAM10, ADAM15, ADAM19, ADAM22, ADAM28, ADAM32, ADAM8,


ADAMDEC1, ADAMTS10, ADAMTS19, ADAMTS2, ADAMTS9, ADAMTSL4, ADAP1,


ADARB1, ADCK1, ADCK2, ADCK5, ADCY2, ADCY3, ADCY6, ADCY7, ADCY9,


ADD1, ADD2, ADD3, ADGB, ADGRA2, ADGRE3, ADGRE5, ADGRF1, ADGRF5,


ADGRG1, ADGRG3, ADGRG5, ADGRG6, ADGRL1, ADGRL2, ADGRV1, ADH1B,


ADH1C, ADH5, ADH6, ADH7, ADHFE1, ADIPOR1, ADIPOR2, ADM, ADNP, ADNP2,


ADORA1, ADORA3, ADPGK, ADPRHL1, ADPRM, ADRM1, ADSL, ADSS1, ADTRP,


AEBP1, AEN, AFAP1L2, AFDN, AFF2, AFF3, AFF4, AFG1L, AFG3L2, AGAP1, AGAP2,


AGAP4, AGAP6, AGAP9, AGBL2, AGBL5, AGER, AGFG1, AGFG2, AGGF1, AGMAT,


AGO1, AGO2, AGO4, AGPAT1, AGPAT2, AGPAT3, AGPS, AGR2, AGR3, AGRN,


AGRP, AGTPBP1, AGTRAP, AHDC1, AHU, AHNAK, AHSA1, AHSP, AICDA, AIF1,


AIFM1, AIG1, AIM2, AIP, AJM1, AK1, AK4, AK6, AK7, AK9, AKAP1, AKAP11,


AKAP12, AKAP13, AKAP14, AKAP17A, AKAP3, AKAP5, AKAP6, AKAP7, AKAP8,


AKAP8L, AKAP9, AKIRIN1, AKIRIN2, AKNA, AKR1A1, AKR1B1, AKR1C1, AKR1C2,


AKR1C3, AKR1C4, AKR7A2, AKT1, AKT1S1, AKT2, AKT3, AKTIP, ALAD, ALAS1,


ALAS2, ALCAM, ALDH16A1, ALDH1A1, ALDH1A2, ALDH1A3, ALDH1B1, ALDH2,


ALDH3A1, ALDH3A2, ALDH3B1, ALDH3B2, ALDH4A1, ALDH6A1, ALDH7A1,


ALDOA, ALG1, ALG12, ALG14, ALG2, ALG6, ALG9, ALK, ALKBH1, ALKBH4,


ALKBH5, ALKBH6, ALMS1, ALOX12, ALOX12B, ALOX15, ALOX5AP, ALPK3,


ALYREF, AMDHD2, AMER1, AMFR, AMOTL1, AMOTL2, AMPD2, AMPD3, AMY1B,


AMY2A, AMY2B, AMZ2, ANAPC10, ANAPC11, ANAPC13, ANAPC15, ANAPC2,


ANAPC4, ANAPC5, ANGPT4, ANGPTL1, ANK1, ANK2, ANK3, ANKDD1A, ANKFN1,


ANKH, ANKHD1, ANKHD1-EIF4EBP3, ANKIB1, ANKLE2, ANKMY1, ANKMY2,


ANKRA2, ANKRD10, ANKRD12, ANKRD13A, ANKRD13D, ANKRD17, ANKRD18B,


ANKRD22, ANKRD26, ANKRD27, ANKRD28, ANKRD29, ANKRD34B, ANKRD35,


ANKRD36B, ANKRD39, ANKRD46, ANKRD50, ANKRD52, ANKRD54, ANKRD55,


ANKRD6, ANKRD65, ANKRD66, ANKRD9, ANKS1A, ANKUB1, ANKZF1, ANO10,


ANO5, ANO6, ANO8, ANO9, ANOS1, ANP32A, ANP32B, ANPEP, ANTXR1, ANTXR2,


ANXA1, ANXA11, ANXA2, ANXA3, ANXA4, ANXA5, ANXA6, AOAH, AOC2, AOC3,


AOPEP, AOX1, AP1AR, AP1B1, AP1G2, AP1M1, AP1S1, AP1S2, AP2A1, AP2M1,


AP3B1, AP3M1, AP3S2, AP4B1, AP4E1, AP5B1, AP5Z1, APAF1, APBA1, APBA2,


APBA3, APBB1, APBBHP, APBB2, APBB3, APC, APC2, APEH, APELA, APEX2,


APH1A, APIP, APLF, APLP2, APMAP, APOBEC3B, APOBEC3C, APOBEC3F,


APOBEC4, APOBR, APOC1, APOE, APOL2, APOL3, APOL4, APOM, APOO, APOOL,


APP, APPL2, APRT, APTX, AQP10, AQP4, AQP5, AQR, AR, ARAF, ARAP1, ARAP3,


ARCN1, AREG, ARF1, ARF3, ARF5, ARFGAP1, ARFGAP2, ARFGAP3, ARFGEF1,


ARFGEF3, ARFIP1, ARFRP1, ARGLU1, ARHGAP1, ARHGAP10, ARHGAP11A,


ARHGAP12, ARHGAP15, ARHGAP18, ARHGAP19, ARHGAP21, ARHGAP25,


ARHGAP27, ARHGAP30, ARHGAP32, ARHGAP33, ARHGAP4, ARHGAP42,


ARHGAP44, ARHGAP5, ARHGAP6, ARHGAP9, ARHGDIA, ARHGDIB, ARHGEF1,


ARHGEF16, ARHGEF18, ARHGEF19, ARHGEF2, ARHGEF28, ARHGEF3, ARHGEF35,


ARHGEF38, ARHGEF39, ARHGEF40, ARHGEF6, ARHGEF7, ARID1A, ARID1B,


ARID2, ARID3A, ARID3B, ARID4A, ARID5A, ARIH1, ARIH2, ARL1, ARL10, ARL13B,


ARL14, ARL14EP, ARL15, ARL16, ARL17A, ARL2BP, ARL3, ARL4A, ARL4C, ARL5A,


ARL6, ARL6IP6, ARL8A, ARL8B, ARMC2, ARMC3, ARMC4, ARMC5, ARMC6,


ARMC7, ARMC8, ARMC9, ARMCX1, ARMCX2, ARMCX4, ARMH1, ARMH3, ARMT1,


ARNTL, ARNTL2, ARPCIA, ARPC1B, ARPC2, ARPC3, ARPC4, ARPP19, ARRB2,


ARRDC1, ARRDC2, ARSA, ARSD, ARSG, ARV1, ARVCF, ASAP3, ASB1, ASB6, ASB8,


ASCC1, ASCC2, ASCC3, ASF1A, ASF1B, ASGR1, ASGR2, ASH1L, ASIC3, ASL,


ASMTL, ASPH, ASPHD2, ASPN, ASPSCR1, ASRGL1, ASS1, ASTN2, ASXL1, ASXL2,


ASXL3, ATAD2, ATAD2B, ATAD3A, ATAD3B, ATAD3C, ATF1, ATF2, ATF3, ATF4,


ATF6, ATF6B, ATF7IP, ATG101, ATG12, ATG13, ATG14, ATG16L2, ATG2A, ATG2B,


ATG3, ATG4A, ATG4B, ATG4C, ATG4D, ATG5, ATG7, ATG9A, ATL2, ATL3, ATM,


ATMIN, ATOX1, ATP10A, ATP10B, ATP11A, ATP12A, ATP13A1, ATP13A2, ATP13A3,


ATP1A1, ATP1B1, ATP1B4, ATP23, ATP2A2, ATP2A3, ATP2B1, ATP2B2, ATP2B4,


ATP2C2, ATP5F1A, ATP5F1B, ATP5F1C, ATP5F1D, ATP5F1E, ATP5IF1, ATP5MC1,


ATP5MC2, ATP5MC3, ATP5MD, ATP5ME, ATP5MF, ATP5MG, ATP5MPL, ATP5PB,


ATP5PD, ATP5PF, ATP5PO, ATP6AP1, ATP6AP1L, ATP6AP2, ATP6V0A2, ATP6V0A4,


ATP6V0B, ATP6V0C, ATP6V0D1, ATP6V0D2, ATP6V0E1, ATP6V0E2, ATP6V1A,


ATP6V1C1, ATP6V1D, ATP6V1E1, ATP6V1F, ATP6V1G1, ATP6V1H, ATP7A, ATP7B,


ATP8A1, ATP8B1, ATP8B2, ATP8B3, ATP9A, ATPAF1, ATPAF2, ATXN1L, ATXN2,


ATXN2L, ATXN3, ATXN7, ATXN7L1, ATXN7L3, ATXN7L3B, AUH, AUP1, AURKA,


AURKB, AUTS2, AVEN, AVPI1, AXIN1, AXL, AZGP1, AZI2, AZIN2, AZU1, B2M,


B3GALNT1, B3GALNT2, B3GALT5, B3GALT6, B3GAT1, B3GAT3, B3GNT2, B3GNT3,


B3GNT5, B3GNT7, B3GNT8, B3GNTL1, B4GALT2, B4GALT3, B4GALT4, BACE2,


BACH2, BAD, BAG2, BAG3, BAG6, BAHCC1, BAHD1, BAIAP2L1, BAK1, BANF1,


BANK1, BANP, BAP1, BATF3, BAX, BAZ1A, BAZ1B, BAZ2A, BAZ2B, BBC3, BBIP1,


BBS10, BBS12, BBS2, BBS9, BBX, BCAM, BCAP29, BCAP31, BCAR3, BCAS1, BCAS2,


BCAT1, BCCIP, BCKDHA, BCKDHB, BCKDK, BCL11B, BCL2A1, BCL2L1, BCL2L11,


BCL2L14, BCL2L15, BCL3, BCL6, BCL9L, BCLAF1, BCLAF3, BCOR, BCORL1, BCR,


BDH2, BDKRB2, BDP1, BECN1, BEND2, BEND4, BEND5, BEND7, BEST3, BET1,


BET1L, BEX1, BFSP1, BHLHA15, BHLHE40, BHLHE41, BICD1, BICD2, BICDL2,


BICRA, BICRAL, BIN1, BIN2, BIN3, BIRC3, BIRC5, BLK, BLNK, BLOC1S1, BLOC1S2,


BLOC1S4, BLOC1S5, BLOC1S6, BLVRA, BLZF1, BMF, BMP2K, BMP3, BMP6,


BMPR1A, BMPR1B, BMPR2, BMS1, BMX, BNIP1, BNIP3, BNIP3L, BOD1, BOLA1,


BOLA2B, BOLA3, BOP1, BORCS5, BORCS6, BORCS7, BORCS8, BPGM, BPHL,


BPIFA1, BPIFB1, BPIFB4, BPTF, BRAT1, BRCA1, BRCA2, BRCC3, BRD1, BRD2,


BRD8, BRD9, BRF1, BRF2, BRI3, BRI3BP, BRMS1, BRPF1, BRPF3, BRWD1, BSCL2,


BSDC1, BSG, BSPRY, BST1, BST2, BTAF1, BTBD1, BTBD10, BTBD11, BTBD19,


BTBD2, BTBD3, BTBD7, BTBD8, BTF3, BTF3L4, BTG1, BTG2, BTK, BTLA, BTN2A1,


BTN3A1, BTN3A2, BTNL9, BTRC, BUD13, BUD23, BZW1, BZW2, C10orf143, C10orf25,


C10orf67, C11orf1, C11orf16, C11orf21, C11orf24, C11orf45, C11orf65, C11orf68,


C11orf71, C11orf74, C11orf88, C11or97, C12orf10, C12orf4, C12orf43, C12orf45,


C12orf49, C12orf60, C12orf73, C12orf74, C13orf46, C14orf119, C15orf39, C15orf40,


C15orf48, C15orf62, C15orf65, C16orf54, C16orf58, C16orf70, C16orf72, C16orf74,


C16orf87, C16orf89, C16orf91, C17orf100, C17orf49, C17orf58, C17orf80, C17orf97,


C18orf21, C18orf25, C18orf32, C18orf54, C19orf25, C19orf38, C19orf47, C19orf53,


C19orf54, C19orf71, C1D, C1GALT1, C1GALT1C1, C1orf115, C1orf116, C1orf122,


C1orf131, C1orf141, C1orf158, C1orf159, C1orf162, C1orf189, C1orf194, C1orf198,


C1orf21, C1orf216, C1orf50, C1orf53, C1orf54, C1orf87, C1QA, C1QB, C1QC, C1QTNF6,


C1RL, C2, C20orf194, C20orf85, C20or96, C21or91, C2CD2L, C2orf15, C2orf42, C2orf49,


C2orf68, C2orf73, C2orf76, C2orf88, C2or92, C3, C3AR1, C3orf14, C3orf18, C3orf49,


C3orf62, C3orf67, C3orf84, C4A, C4B, C4orf19, C4orf3, C4orf46, C5AR1, C5AR2,


C5orf22, C5orf24, C5orf30, C5orf49, C5orf51, C5orf58, C6, C6orf120, C6orf132, C6orf136,


C6orf163, C6orf226, C6orf47, C6orf62, C6orf89, C7orf26, C7orf50, C7orf57, C8B, C8orf34,


C8orf37, C9orf116, C9orf129, C9orf135, C9orf139, C9orf152, C9orf16, C9orf24, C9orf64,


C9orf78, CA1, CA13, CA14, CA2, CA4, CA5B, CA8, CAAP1, CABCOCO1, CABIN1,


CABLES1, CABLES2, CABP4, CACHD1, CACNA1E, CACNA1F, CACNA1I,


CACNA2D1, CACNA2D2, CACNA2D3, CACNA2D4, CACNB1, CACTIN, CACUL1,


CACYBP, CAD, CADPS2, CALCOCO2, CALCR, CALHM2, CALHM5, CALHM6,


CALM1, CALM2, CALM3, CALU, CAMK1, CAMK1D, CAMK2D, CAMK2G,


CAMK2N1, CAMK4, CAMKK1, CAMKK2, CAMLG, CAMP, CAMSAP2, CAMTA1,


CAMTA2, CANT1, CAP1, CAP2, CAPN1, CAPN10, CAPN12, CAPN13, CAPN15,


CAPN2, CAPN3, CAPN5, CAPN7, CAPNS1, CAPRIN1, CAPS2, CAPSL, CAPZAI,


CAPZB, CARD11, CARD19, CARD6, CARD8, CARD9, CARF, CARHSP1, CARM1,


CARMIL1, CARMIL2, CARMIL3, CARNMT1, CARNS1, CASC1, CASC3, CASC4,


CASK, CASKIN2, CASP3, CASP4, CASP5, CASP7, CASP8, CASP8AP2, CASS4,


CASTOR2, CASZ1, CATSPER1, CATSPERB, CATSPERD, CAV3, CAVIN1, CAVIN2,


CAVIN4, CBFA2T2, CBFA2T3, CBL, CBLL1, CBR1, CBS, CBSL, CBWD6, CBX1, CBX3,


CBX4, CBX6, CBX7, CBY1, CC2D1A, CC2D1B, CC2D2A, CCAR1, CCAR2, CCDC102B,


CCDC106, CCDC107, CCDC110, CCDC112, CCDC113, CCDC117, CCDC124, CCDC125,


CCDC127, CCDC130, CCDC134, CCDC137, CCDC138, CCDCM1, CCDCM6, CCDC15,


CCDC158, CCDC159, CCDC160, CCDC167, CCDC17, CCDC170, CCDC171, CCDC178,


CCDC18, CCDC180, CCDC181, CCDC186, CCDC187, CCDC190, CCDC200, CCDC22,


CCDC25, CCDC28B, CCDC30, CCDC32, CCDC33, CCDC34, CCDC36, CCDC40,


CCDC51, CCDC57, CCDC58, CCDC6, CCDC60, CCDC61, CCDC65, CCDC66, CCDC69,


CCDC7, CCDC71, CCDC71L, CCDC74A, CCDC74B, CCDC78, CCDC80, CCDC81,


CCDC85B, CCDC85C, CCDC88A, CCDC88B, CCDC88C, CCDC89, CCDC9, CCDC90B,


CCDC91, CCDC92, CCDC97, CCDC9B, CCHCR1, CCL18, CCL2, CCL20, CCL23, CCL3,


CCL3L1, CCL4, CCL4L2, CCL5, CCL7, CCL8, CCM2, CCN1, CCN2, CCNB2, CCNB3,


CCND1, CCND2, CCND3, CCNDBP1, CCNE2, CCNF, CCNG2, CCNI, CCNJL, CCNK,


CCNL1, CCNL2, CCNO, CCNT1, CCNY, CCNYL1, CCP110, CCR1, CCR4, CCR5, CCR7,


CCRL2, CCS, CCSAP, CCSER2, CCT7, CCZ1B, CD101, CD14, CD160, CD164, CD180,


CD19, CD1A, CD1C, CD1D, CD2, CD200, CD22, CD226, CD24, CD244, CD247, CD27,


CD274, CD276, CD28, CD2AP, CD2BP2, CD300A, CD300C, CD300H, CD300LB, CD33,


CD36, CD37, CD3D, CD3E, CD3EAP, CD3G, CD4, CD40LG, CD44, CD46, CD47, CD48,


CD5, CD52, CD53, CD59, CD5L, CD6, CD68, CD69, CD7, CD72, CD79A, CD79B, CD80,


CD81, CD82, CD84, CD8A, CD8B, CD8B2, CD9, CD93, CD96, CD99, CD99L2, CDA,


CDADC1, CDAN1, CDC123, CDC14A, CDC14B, CDC20, CDC20B, CDC25A, CDC25B,


CDC26, CDC27, CDC34, CDC37, CDC37L1, CDC42BPA, CDC42BPB, CDC42EP1,


CDC42EP2, CDC42EP3, CDC42EP4, CDC42SE1, CDC42SE2, CDC5L, CDC6, CDC7,


CDC73, CDCA3, CDCA4, CDCA5, CDCA7L, CDCA8, CDCP1, CDH13, CDH23, CDH26,


CDHR3, CDIP1, CDIPT, CDK10, CDK11A, CDK11B, CDK13, CDK14, CDK16, CDK2,


CDK20, CDK2AP1, CDK4, CDK5R1, CDK5RAP2, CDK5RAP3, CDK6, CDK7, CDK9,


CDKAL1, CDKL5, CDKN1A, CDKN1C, CDKN2AIP, CDKN2B-AS1, CDKN2D, CDPF1,


CDR2, CDS1, CDS2, CDV3, CDYL, CDYL2, CEACAM1, CEACAM19, CEACAM3,


CEACAM4, CEACAM5, CEACAM6, CEACAM7, CEBPA, CEBPB, CEBPZ, CELF1,


CELF2, CELSR1, CELSR2, CELSR3, CEMIP, CEMIP2, CENPB, CENPBD1, CENPH,


CENPK, CENPL, CENPO, CENPP, CENPQ, CENPS, CENPW, CEP112, CEP126, CEP128,


CEP162, CEP170, CEP19, CEP192, CEP250, CEP290, CEP295NL, CEP350, CEP68,


CEP70, CEP76, CEP78, CEP83, CEP85, CEP85L, CEP89, CEP95, CERK, CERKL, CERS2,


CERS4, CERS5, CERS6, CERT1, CES2, CES3, CES4A, CETN2, CETN3, CFAP20,


CFAP221, CFAP298, CFAP300, CFAP36, CFAP410, CFAP43, CFAP44, CFAP45, CFAP47,


CFAP52, CFAP53, CFAP54, CFAP57, CFAP61, CFAP65, CFAP70, CFAP97D2, CFDP1,


CFH, CFL1, CFL2, CFLAR, CFP, CFTR, CGAS, CGGBP1, CGN, CGNL1, CHAF1A,


CHCHD1, CHCHD10, CHCHD3, CHCHD6, CHCHD7, CHD1, CHD2, CHD3, CHD4,


CHD6, CHD8, CHD9, CHDH, CHEK1, CHEK2, CHERP, CHFR, CHIC1, CHIC2, CHID1,


CHKB, CHL1, CHM, CHMP1A, CHMPIB, CHMP2A, CHMP2B, CHMP4A, CHMP4B,


CHMP4C, CHMP5, CHMP6, CHMP7, CHN2, CHP1, CHP2, CHPF, CHPF2, CHPT1,


CHRDL2, CHRFAM7A, CHRNA2, CHRNA3, CHRNA7, CHST10, CHST11, CHST12,


CHST13, CHST15, CHST2, CHST4, CHST6, CHST9, CHSY1, CHTF18, CHTF8, CHTOP,


CHURC1, CIAO1, CIAO2A, CIAO3, CIAPIN1, CIC, CIITA, CIPC, CIR1, CIRBP, CISD1,


CITED4, CIZ1, CKAP2, CKAP2L, CKAP4, CKAP5, CKB, CKLF, CKMT1A, CKMT1B,


CKMT2, CKS2, CLASP1, CLASRP, CLC, CLCA2, CLCA4, CLCF1, CLCN2, CLCN3,


CLCN5, CLCN6, CLCN7, CLDN1, CLDN10, CLDN12, CLDN15, CLDN16, CLDN18,


CLDN23, CLDN3, CLDN4, CLDN5, CLDN9, CLDND1, CLDND2, CLEC11A, CLEC12A,


CLEC12B, CLEC17A, CLEC18A, CLEC1B, CLEC2D, CLEC4A, CLEC4D, CLEC7A,


CLGN, CLIC2, CLIC3, CLIC4, CLIC5, CLIC6, CLIP1, CLIP2, CLIP4, CLK1, CLK2, CLK3,


CLN3, CLN5, CLN6, CLOCK, CLP1, CLPP, CLPTM1, CLPTM1L, CLSTN1, CLSTN2,


CLSTN3, CLTA, CLTC, CLTCL1, CLU, CLUH, CLYBL, CMC1, CMC2, CMIP, CMPK1,


CMSS1, CMTM2, CMTM3, CMTM4, CMTM5, CMTM6, CMTR1, CMTR2, CMYA5,


CNBP, CNFN, CNGA4, CNIH1, CNIH4, CNKSR2, CNKSR3, CNN2, CNN3, CNNM3,


CNNM4, CNOT1, CNOT10, CNOT11, CNOT2, CNOT4, CNOT8, CNP, CNPPD1, CNPY3,


CNPY4, CNR2, CNRIP1, CNTD1, CNTLN, CNTN1, CNTN5, CNTNAP1, CNTNAP2,


CNTROB, COA3, COA4, COA6, COA7, COA8, COASY, COBL, COBLL1, COCH, COG1,


COG2, COG4, COG5, COG6, COL11A2, COL15A1, COL17A1, COL18A1, COL19A1,


COL1A1, COL26A1, COL4A4, COL5A3, COL6A2, COL8A1, COL9A2, COL9A3,


COLCA1, COLEC12, COLGALT1, COLGALT2, COLQ, COMMD1, COMMD10,


COMMD2, COMMD6, COMMD9, COMTD1, COP1, COPA, COPB2, COPE, COPG2,


COPRS, COPS3, COPS5, COPS7B, COPS9, COPZ1, COQ2, COQ6, COQ7, COQ8A,


COQ8B, CORO1A, CORO1B, CORO1C, CORO7, COTL1, COX14, COX17, COX19,


COX20, COX5A, COX6A1, COX6B1, COX6C, COX7A1, COX7B, COX7C, COX8A, CP,


CPAMD8, CPD, CPE, CPED1, CPLANE1, CPM, CPNE1, CPNE2, CPNE5, CPOX,


CPPED1, CPQ, CPSF1, CPSF2, CPSF3, CPSF4, CPSF6, CPT1A, CPT1B, CPTP, CPVL,


CR1, CR1L, CR2, CRACR2A, CRADD, CRAMP1, CRAT, CRCP, CRCT1, CREB3,


CREB3L1, CREB3L4, CREB5, CREBBP, CREBL2, CREBZF, CREG1, CRELD1, CREM,


CRHBP, CRIM1, CRIP1, CRIPT, CRISP3, CRISPLD2, CRK, CRMP1, CRNDE, CRNKL1,


CRNN, CROCC, CRTAC1, CRTAM, CRTAP, CRTC1, CRTC2, CRY2, CRYBB1,


CRYBG1, CRYBG2, CRYBG3, CRYL1, CRYM, CRYZ, CS, CSAD, CSE1L, CSF2RA,


CSF2RB, CSF3R, CSGALNACT1, CSGALNACT2, CSK, CSMD1, CSNK1A1, CSNK1D,


CSNK1E, CSNK1G1, CSNK1G2, CSNK1G3, CSPP1, CSRNP1, CSRNP2, CSRNP3,


CSRP2, CST3, CSTA, CSTB, CSTF1, CSTF3, CT83, CTBP1, CTBP1-AS, CTBS, CTC1,


CTDP1, CTDSP1, CTDSP2, CTIF, CTLA4, CTNNA1, CTNNAL1, CTNNB1, CTNNBIP1,


CTNND1, CTPS1, CTPS2, CTR9, CTSA, CTSC, CTSD, CTSF, CTSK, CTSL, CTSS,


CTSW, CTSZ, CTTNBP2, CTTNBP2NL, CTU2, CUBN, CUEDC1, CUEDC2, CUL2,


CUL3, CUL5, CUL7, CUL9, CUTC, CWC15, CWC22, CWC25, CWC27, CWF19L1,


CWF19L2, CX3CR1, CXADR, CXCL1, CXCL10, CXCL11, CXCL12, CXCL16, CXCL17,


CXCL2, CXCL3, CXCL6, CXCL9, CXCR1, CXCR3, CXCR4, CXorf38, CXorf40A,


CXorf40B, CXorf56, CXXC1, CXXC4, CXXC5, CYB561A3, CYB561D1, CYB561D2,


CYB5A, CYB5D2, CYB5R1, CYB5R2, CYB5R3, CYB5R4, CYB5RL, CYBA, CYBB,


CYBC1, CYBRD1, CYC1, CYFIP2, CYHR1, CYLD, CYP20A1, CYP27A1, CYP2B6,


CYP2E1, CYP2F1, CYP2J2, CYP2R1, CYP2S1, CYP39A1, CYP3A4, CYP3A5, CYP4B1,


CYP4F3, CYP4V2, CYP4X1, CYSLTR2, CYSRT1, CYSTM1, CYTH1, CYTH2, CYTH4,


CYTIP, CYYR1, CZIB, D2HGDH, DAAM1, DAAM2, DAB1, DAB2, DAB2IP, DAG1,


DAGLB, DALRD3, DAPK1, DAPK2, DAPK3, DARS2, DAZAP1, DAZAP2, DBF4B, DBI,


DBN1, DBNDD1, DBNL, DBP, DBT, DCAF11, DCAF12, DCAF13, DCAF15, DCAF16,


DCAF8, DCAKD, DCBLD1, DCBLD2, DCDC1, DCDC2, DCHS1, DCLK2, DCLRE1B,


DCLRE1C, DCP1B, DCSTAMP, DCTN1, DCTN2, DCTN3, DCTN4, DCTN6, DCTPP1,


DCUN1D3, DCUN1D4, DCUN1D5, DCXR, DDA1, DDAH1, DDB1, DDB2, DDC,


DDHD1, DDI2, DDIAS, DDIT4, DDO, DDOST, DDR1, DDR2, DDRGK1, DDX1, DDX10,


DDX11, DDX17, DDX18, DDX19A, DDX19B, DDX21, DDX23, DDX24, DDX27, DDX31,


DDX39A, DDX39B, DDX3X, DDX3Y, DDX41, DDX42, DDX47, DDX49, DDX5, DDX51,


DDX52, DDX54, DDX55, DDX56, DDX58, DDX59, DDX60, DEAF1, DEF6, DEF8,


DEFA1, DEFA1B, DEFA3, DEFB1, DELE1, DENND11, DENND1A, DENND1B,


DENND1C, DENND2B, DENND3, DENND4A, DENND4B, DENND4C, DENND5A,


DENND6A, DENND6B, DEPDC5, DEPP1, DEPTOR, DERL1, DERL2, DERL3, DESI2,


DET1, DEUP1, DEXI, DFFA, DFFB, DGAT1, DGAT2, DGCR2, DGCR6, DGCR8, DGKA,


DGKB, DGKD, DGKQ, DGKZ, DGLUCY, DGUOK, DHCR7, DHDH, DHFR, DHODH,


DHPS, DHRS1, DHRS12, DHRS13, DHRS3, DHRS4, DHRS7, DHRS9, DHRSX, DHTKD1,


DHX15, DHX16, DHX30, DHX32, DHX34, DHX37, DHX38, DHX40, DHX57, DHX9,


DIABLO, DIAPH1, DICER1, DIDO1, DIO2, DIP2A, DIP2C, DIPK1A, DIPK1B, DIPK2A,


DIS3, DIS3L2, DISP1, DIXDC1, DKC1, DKK1, DLC1, DLD, DLEC1, DLG3, DLG5,


DLST, DMAC1, DMAP1, DMBT1, DMD, DMKN, DMPK, DMRT3, DMRTA1, DMTN,


DMWD, DMXL1, DMXL2, DNAAF1, DNAH1, DNAH10, DNAH11, DNAH12, DNAH14,


DNAH17, DNAH2, DNAH3, DNAH5, DNAH6, DNAH7, DNAH8, DNAH9, DNAH,


DNAJA1, DNAJA3, DNAJB11, DNAJB12, DNAJB13, DNAJB14, DNAJB2, DNAJB4,


DNAJB6, DNAJB9, DNAJC10, DNAJC14, DNAJC15, DNAJC16, DNAJC17, DNAJC18,


DNAJC19, DNAJC21, DNAJC5, DNAJC5B, DNAJC7, DNAJC8, DNAJC9, DNAL1,


DNALI1, DNASE1, DNASE1L1, DNASE2B, DNHD1, DNM1, DNM1L, DNM2, DNM3,


DNMBP, DNPEP, DNPH1, DNTTIP1, DNTTIP2, DOC2A, DOCK1, DOCK10, DOCK2,


DOCK4, DOCK5, DOCK7, DOHH, DOK2, DOK3, DOK6, DOLK, DOT1L, DPEP2, DPF2,


DPF3, DPH1, DPH2, DPH3, DPH5, DPH7, DPM1, DPM2, DPM3, DPP3, DPP7, DPP9,


DPT, DPY19L3, DPY30, DPYSL2, DPYSL3, DR1, DRAM1, DRAP1, DRC1, DRG2,


DROSHA, DSC2, DSC3, DSE, DSG2, DSN1, DSP, DST, DSTN, DSTYK, DTNA, DTNB,


DTWD1, DTWD2, DTX1, DTX3, DTX3L, DTX4, DUOX1, DUOX2, DUOXA1, DUOXA2,


DUS1L, DUS2, DUS3L, DUSP1, DUSP11, DUSP14, DUSP2, DUSP22, DUSP23, DUSP28,


DUSP3, DUSP6, DUSP7, DUSP8, DUXAP9, DVL1, DVL2, DVL3, DXO, DYM,


DYNC1H1, DYNC1I2, DYNC1LI2, DYNC2H1, DYNC2LI1, DYNLL1, DYNLL2,


DYNLRB1, DYNLRB2, DYNLT1, DYNLT3, DYRK1B, DYRK4, DYSF, DZANK1,


DZIP1L, DZIP3, E2F1, E2F2, E2F3, E2F4, E2F7, E4F1, EAF1, EAPP, EARS2, EBAG9,


EBF1, EBLN2, EBNA1BP2, EBP, EBPL, ECE1, ECH1, ECHDC2, ECHS1, ECM1, ECPAS,


ECRG4, ECSIT, ECT2, ECT2L, EDAR, EDC3, EDC4, EDEM1, EDEM2, EDEM3, EDN1,


EDN2, EDNRA, EEA1, EEF1AKMT1, EEF1AKMT3, EEF1B2, EEFID, EEF2, EFCAB1,


EFCAB10, EFCAB11, EFCAB14, EFCAB6, EFCAB7, EFEMP1, EFHB, EFHD1, EFHD2,


EFL1, EFNA1, EFR3A, EFTUD2, EGF, EGFL6, EGFL7, EGFR, EGLN1, EGLN2, EGOT,


EGR1, EGR2, EGR3, EHBP1, EHBP1L1, EHD1, EHD2, EHD3, EHD4, EHF, EHHADH,


EHMT1, EHMT2, EID1, EIF1, EIF1AX, EIF1B, EIF2AK1, EIF2AK3, EIF2B2, EIF2B3,


EIF2B4, EIF2S1, EIF2S2, EIF2S3, EIF2S3B, EIF3B, EIF3C, EIF3CL, EIF3D, EIF3G, EIF3I,


EIF3L, EIF3M, EIF4A1, EIF4B, EIF4E, EIF4E3, EIF4EBP1, EIF4G1, EIF4G2, EIF4H,


EIF5A, EIF5AL1, EIF5B, EIF6, EIPR1, ELAC1, ELAC2, ELF2, ELF3, ELF4, ELF5, ELK1,


ELK4, ELL, ELL2, ELMO1, ELMO2, ELMO3, ELMOD1, ELMOD2, ELMOD3,


ELMSAN1, ELOA, ELOC, ELOVL1, ELOVL5, ELP3, ELP4, ELP5, ELP6, EMB, EMC1,


EMC10, EMC2, EMC8, EMC9, EMD, EME2, EMG1, EMID1, EMILIN2, EML1, EML2,


EML3, EML4, EML6, EMP2, EMP3, EMSY, ENAH, ENC1, ENDOD1, ENGASE, ENKUR,


ENO1, ENO2, ENO3, ENOPH1, ENPP2, ENPP3, ENPP5, ENSA, ENTPD1, ENTPD3,


ENTPD4, ENTPD6, EOGT, EP400, EPAS1, EPB41, EPB41L1, EPB41L2, EPB41L3,


EPB41L4A, EPB41L4B, EPB41L5, EPB42, EPC2, EPCAM, EPHA1, EPHA2, EPHB6,


EPHX2, EPM2AIP1, EPN1, EPN3, EPOR, EPPIN, EPPK1, EPS15, EPS15L1, EPS8, EQTN,


ERAL1, ERAP1, ERBB2, ERBB3, ERBB4, ERBIN, ERC1, ERCC1, ERCC2, ERCC3,


ERCC5, ERCC6L2, ERCC8, EREG, ERF, ERFE, ERFL, ERG, ERG28, ERGIC1, ERGIC2,


ERH, ERI1, ERI2, ERICH1, ERICH3, ERICH5, ERMAP, ERMN, ERN1, ERO1A, ERP29,


ERRFI1, ERV3-1, ESCO1, ESD, ESF1, ESPN, ESRP1, ESRP2, ESRRA, ESRRG, ESS2,


ESYT1, ESYT2, ETFDH, ETFRF1, ETNK1, ETS1, ETV2, ETV3, ETV5, EVA1B, EVI2A,


EVI5, EVI5L, EVL, EWSR1, EXD3, EXOC1, EXOC3, EXOC5, EXOC6B, EXOC7, EXOG,


EXOSC1, EXOSC10, EXOSC2, EXOSC4, EXOSC5, EXPH5, EXT2, EXTL3, EYA1, EYA2,


EYA3, EYA4, EYS, EZH1, EZH2, EZR, F11R, F12, F13A1, F2R, F2RL1, F2RL2, F2RL3,


F3, F5, F8A2, FA2H, FAAH, FAAP100, FAAP20, FABP3, FABP4, FABP5, FABP6,


FADS1, FADS2, FADS3, FAF1, FAF2, FAH, FAHD2A, FAHD2B, FAIM, FAM102A,


FAM102B, FAM104B, FAM106A, FAM107A, FAM107B, FAM110A, FAM110C,


FAM114A1, FAM117A, FAM117B, FAM118A, FAM118B, FAM120A, FAM120AOS,


FAM120B, FAM120C, FAM122B, FAM122C, FAM135A, FAM13A, FAM153A,


FAM153B, FAM156A, FAM156B, FAM160A1, FAM160A2, FAM160B1, FAM160B2,


FAM162A, FAM166B, FAM166C, FAM168A, FAM168B, FAM169A, FAM174A,


FAM174C, FAM177A1, FAM183A, FAM184A, FAM185A, FAM186B, FAM189B,


FAM193B, FAM199X, FAM200A, FAM204A, FAM209A, FAM20B, FAM210A,


FAM210B, FAM214A, FAM214B, FAM216B, FAM217B, FAM219A, FAM219B,


FAM220A, FAM222A, FAM222B, FAM229A, FAM229B, FAM234A, FAM3A, FAM3B,


FAM3D, FAM47E, FAM49A, FAM50A, FAM53B, FAM53C, FAM71F2, FAM72A,


FAM72B, FAM72C, FAM72D, FAM78A, FAM81B, FAM83B, FAM83D, FAM83G,


FAM89A, FAM8A1, FAM92A, FAM92B, FAM98C, FANCA, FANCC, FANCD2, FANCI,


FANK1, FAP, FAR1, FARP1, FARP2, FASN, FASTK, FASTKD3, FASTKD5, FAT1,


FAT3, FAU, FAXDC2, FBH1, FBLN2, FBLN5, FBN2, FBP1, FBRS, FBRSL1, FBXL12,


FBXL13, FBXL16, FBXL19, FBXL2, FBXL20, FBXL22, FBXL5, FBXL6, FBXL7, FBXL8,


FBX025, FBX028, FBX03, FBXO30, FBXO31, FBXO33, FBXO34, FBXO36, FBXO41,


FBXO42, FBXO46, FBXO48, FBXO6, FBXO7, FBXO8, FBXO9, FBXW10, FBXW2,


FBXW4, FBXW5, FBXW7, FBXW8, FCAR, FCER1A, FCERIG, FCER2, FCF1, FCGBP,


FCGR1A, FCGR1B, FCGR2A, FCGR3A, FCGRT, FCHO1, FCHO2, FCHSD1, FCHSD2,


FCMR, FCN1, FCN2, FCRL1, FCRL2, FCRL3, FCRL6, FCRLA, FCSK, FDCSP, FDPS,


FDX1, FECH, FEM1A, FEN1, FER, FER1L6, FERMT1, FERMT2, FERMT3, FES, FFAR4,


FGD2, FGD3, FGD4, FGD5, FGD6, FGF14, FGF20, FGFBP2, FGFR1, FGFR1OP2, FGFR2,


FGFR3, FGGY, FGL2, FGR, FHAD1, FHL1, FHL3, FHOD1, FICD, FILIP1, FILIPIL, FIS1,


FIZ1, FKBP11, FKBP15, FKBP1A, FKBP2, FKBP8, FKBPL, FKRP, FLACC1, FLCN, FLG,


FLG2, FLU, FLII, FLNA, FLOT2, FLRT3, FLT1, FLT3, FLT3LG, FLT4, FLVCR2,


FLYWCH1, FMNL1, FMNL2, FMO2, FMO3, FMO4, FMO5, FMOD, FMR1, FN1,


FNBP1L, FNBP4, FNDC10, FNDC3A, FNDC3B, FNIP1, FNIP2, FOCAD, FOLH1, FOLR1,


FOLR3, FOPNL, FOS, FOSB, FOSL1, FOSL2, FOXA1, FOXA3, FOXD2-AS1, FOXI2,


FOXH, FOXJ2, FOXJ3, FOXK1, FOXK2, FOXM1, FOXN1, FOXN3, FOXO3, FOXO4,


FOXP2, FOXP3, FOXQ1, FOXRED1, FPGS, FPGT, FPR1, FPR3, FRA10AC1, FRAT1,


FRAT2, FREM2, FRG1, FRK, FRMD4A, FRMD4B, FRMD5, FRMD6, FRMD8, FRMPD3,


FRRS1, FRS2, FRY, FRYL, FSCN1, FSD1, FSTL3, FTCDNL1, FTL, FTO, FTSJ1, FUBP1,


FUCA1, FUCA2, FUNDC1, FUOM, FURIN, FUS, FUT10, FUT11, FUT2, FUT3, FUT4,


FUT7, FUZ, FXR2, FXYD3, FXYD5, FYB2, FYCO1, FYN, FZD1, FZD5, FZD6, FZD7,


FZR1, GOS2, G6PC3, G6PD, GAA, GAB2, GABARAP, GABARAPL1, GABBR1, GABPA,


GABPB2, GABRB2, GABRP, GABRR2, GADD45B, GADD45G, GAK, GALE, GALK1,


GALNS, GALNT1, GALNT10, GALNT12, GALNT2, GALNT5, GALT, GANAB, GAPDH,


GAREM1, GAREM2, GARNL3, GART, GAS2L1, GAS2L3, GAS6, GATA1, GATA2,


GATA3, GATAD1, GATAD2A, GATD1, GATD3A, GATD3B, GATM, GBA2, GBE1,


GBF1, GBGT1, GBP1, GBP3, GBP6, GCA, GCC1, GCC2, GCDH, GCFC2, GCLM, GCN1,


GCNA, GCNT2, GCNT3, GCNT7, GCSH, GDA, GDAP1, GDAP2, GDF11, GDF15, GDF9,


GDI1, GDPD5, GEMIN4, GEMIN5, GEMIN6, GET1, GET3, GET4, GFI1, GFHB, GFOD1,


GFPT1, GFRA2, GGA1, GGA3, GGCX, GGPS1, GGT1, GGT6, GGT7, GHDC, GHITM,


GIGYF1, GIMAP4, GIMAP5, GIMAP7, GIN1, GINM1, GINS2, GINS3, GINS4, GIPC3,


GIPR, GIT1, GJB3, GJB5, GK, GK5, GKN2, GLB1L2, GLB1L3, GLCE, GLG1, GLI3,


GLI4, GLIPR1, GLIS3, GLO1, GLRX, GLRX2, GLRX3, GLRX5, GLT1D1, GLTP,


GLUD1, GLUD2, GLUL, GLYATL2, GLYCTK, GLYR1, GM2A, GMDS, GMIP, GMNC,


GMNN, GMPPB, GMPR, GMPR2, GNA11, GNA14, GNAI1, GNAI2, GNAI3, GNAL,


GNAO1, GNAZ, GNB1, GNB1L, GNB2, GNB4, GNB5, GNG12, GNG2, GNG5, GNG7,


GNGT2, GNL1, GNL2, GNLY, GNPDA1, GNPDA2, GNPNAT1, GNPTAB, GNPTG,


GOLGA1, GOLGA2, GOLGA3, GOLGA4, GOLGA5, GOLGA6L10, GOLGA7B,


GOLGA8A, GOLGA8B, GOLGA8N, GOLGA8R, GOLGB1, GOLIM4, GOLM1, GOLPH3,


GOLPH3L, GOLT1B, GORAB, GORASP1, GOSR1, GP1BA, GP5, GP6, GP9, GPAA1,


GPALPP1, GPANK1, GPAT2, GPAT3, GPAT4, GPATCH2, GPATCH2L, GPATCH8,


GPBAR1, GPBP1, GPBP1L1, GPC2, GPC4, GPCPD1, GPD1, GPD1L, GPD2, GPER1,


GPN2, GPN3, GPNMB, GPR107, GPR108, GPR132, GPR137, GPR137B, GPR141,


GPR146, GPR153, GPR160, GPR162, GPR171, GPR174, GPR176, GPR183, GPR22, GPR3,


GPR34, GPR35, GPR45, GPR55, GPR65, GPR68, GPR75, GPR82, GPR84, GPR85, GPR87,


GPR89A, GPR89B, GPRASP2, GPRC5A, GPRIN3, GPS1, GPS2, GPSM1, GPSM3, GPX2,


GPX3, GPX8, GRAMD1A, GRAMD1C, GRAMD2A, GRAMD2B, GRAMD4, GRAP,


GRAP2, GRAPL, GRASP, GRB10, GRB2, GRB7, GREB1, GRHL1, GRHL2, GRHL3,


GRHPR, GRIK2, GRIN2C, GRIN3A, GRINA, GRIP1, GRIPAP1, GRK2, GRK3, GRK5,


GRK6, GRM2, GRN, GRWD1, GSDMA, GSDMB, GSDMC, GSDMD, GSE1, GSK3A,


GSK3B, GSKIP, GSTA1, GSTA2, GSTA3, GSTA5, GSTCD, GSTK1, GSTM1, GSTM2,


GSTM3, GST01, GSTT2, GSTT2B, GSTZ1, GTDC1, GTF2A1, GTF2B, GTF2E1, GTF2F1,


GTF2F2, GTF2H1, GTF2H2, GTF2H2C, GTF2H5, GTF2IRD1, GTF3A, GTF3C1, GTF3C2,


GTF3C4, GTF3C5, GTF3C6, GTPBP1, GTPBP3, GTPBP6, GTSF1, GUCD1, GUCY1B1,


GUCY2C, GUK1, GULP1, GUSB, GXYLT1, GXYLT2, GYPA, GYPB, GYPC, GYS1,


GZF1, GZMB, GZMH, GZMK, GZMM, H1-0, H1-1, H1-10, H1-3, H1-4, H1-5, H19,


H2AC11, H2AC13, H2AC14, H2AC16, H2AC18, H2AC19, H2AC20, H2AC21, H2AC8,


H2AJ, H2AW, H2AZ1, H2AZ2, H2BC12, H2BC18, H2BC7, H3-3A, H3-3B, H3-5, H3C10,


H3C12, H3C6, H4C12, H4C13, H4C14, H4C15, H4C2, H4C3, H4C5, H4C9, H6PD,


HACD3, HADH, HADHA, HAGH, HAGHL, HAL, HAPLN3, HARB11, HARS1, HARS2,


HAT1, HAUS2, HAUS3, HAUS4, HAUS5, HAUS8, HAVCR2, HAX1, HBA1, HBA2, HBB,


HBD, HBEGF, HBG1, HBG2, HBM, HBP1, HBQ1, HBS1L, HCAR2, HCFC1, HCFC2,


HCK, HCLS1, HDAC1, HDAC10, HDAC11, HDAC3, HDAC4, HDAC5, HDAC6, HDAC7,


HDAC8, HDAC9, HDDC2, HDGF, HDGFL2, HDGFL3, HDHD2, HDHD5, HDX,


HEATR1, HEATR3, HEATR5A, HEATR6, HECA, HECTD1, HECTD2, HECTD4,


HECW2, HELQ, HELZ2, HEMGN, HEMK1, HERC2, HERC4, HERC6, HERPUD1,


HERPUD2, HES1, HES2, HESX1, HEXD, HEXIM1, HEXIM2, HEY1, HEY2, HFE, HGH1,


HGS, HGSNAT, HHLA2, HIBADH, HIBCH, HIC1, HIC2, HIF1AN, HIGD1A, HIGD2A,


HIKESHI, HILPDA, HINT1, HINT3, HIP1R, HIPK1, HIPK2, HIRIP3, HIVEP1, HJURP,


HJV, HK1, HK3, HLA-A, HLA-B, HLA-C, HLA-DOB, HLA-DPA1, HLA-DQA2, HLA-


DQB2, HLA-E, HLA-F, HLA-G, HLCS, HLF, HLTF, HLX, HM13, HMBOX1, HMBS,


HMCES, HMG20B, HMGA1, HMGB1, HMGB2, HMGCR, HMGCS2, HMGN3, HMGN4,


HMGN5, HMGXB3, HNF1B, HNMT, HNRNPA0, HNRNPA1, HNRNPA1L2,


HNRNPA2B1, HNRNPA3, HNRNPAB, HNRNPC, HNRNPD, HNRNPH1, HNRNPH2,


HNRNPH3, HNRNPK, HNRNPL, HNRNPM, HNRNPR, HNRNPU, HNRNPUL1,


HOMER1, HOMER2, HOMEZ, HOOK1, HOOK3, HOPX, HOXB2, HOXB3, HOXB6,


HPCAL1, HPCAL4, HPGD, HPGDS, HPS1, HPS4, HPS5, HPS6, HPSE, HRH2, HS1BP3,


HS2ST1, HS3ST1, HS3ST2, HS3ST3B1, HS6ST1, HSBP1, HSBP1L1, HSD11B1,


HSD17B1, HSD17B14, HSD17B4, HSD3B7, HSDL1, HSDL2, HSF1, HSF2, HSF4, HSH2D,


HSP90AA1, HSP90AB1, HSPA1A, HSPA1B, HSPA4, HSPA4L, HSPA5, HSPA8, HSPB1,


HSPB11, HSPB8, HSPBAP1, HSPBP1, HSPD1, HSPE1, HSPG2, HSPH1, HTATIP2,


HTATSF1, HTN1, HTN3, HTRA2, HTRA3, HTRA4, HTT, HUNK, HVCN1, HYDIN,


HYKK, HYOU1, HYPK, IAH1, IARS2, IBA57, IBTK, ICAM1, ICAM2, ICAM3, ICAM5,


ICE2, ICK, ICMT, ICOSLG, ID1, ID2, ID3, ID4, IDH1, IDH2, IDH3A, IDH3B, IDO1,


IDUA, IER2, IER5, IER5L, IFFO1, IFFO2, IFI16, IFI27L2, IFI6, IFIH1, IFITI, IFIT2, IFIT3,


IFIT5, IFITM1, IFITM3, IFNG, IFNGR2, IFRD1, IFRD2, IFT22, IFT43, IFT74, IFT81,


IGF1, IGF1R, IGF2BP3, IGF2R, IGFBP3, IGFBP5, IGFLR1, IGHMBP2, IGIP, IGLL5,


IGSF10, IGSF3, IGSF6, IGSF8, IGSF9B, IK, IKBKB, IKBKE, IKBKG, IKZF1, IKZF2,


IKZF3, IKZF5, IL10RA, IL11RA, IL12A, IL12RB1, IL12RB2, IL16, IL17C, IL17RA,


IL17RB, IL17RC, IL17RD, IL18, IL18RAP, IL19, IL1A, IL1B, IL1R1, IL1R2, IL1RN,


IL20RA, IL20RB, IL21R, IL22RA1, IL24, IL26, IL27RA, IL2RA, IL2RB, IL2RG, IL32,


IL33, IL36B, IL36G, IL36RN, IL4I1, IL4R, IL5RA, IL6R, IL7R, ILF2, ILF3, ILK, ILKAP,


ILRUN, ILVBL, IMMT, IMPA1, IMPA2, IMPACT, IMPAD1, IMPDH1, INAFM1, INCA1,


INF2, ING1, ING2, ING3, ING4, ING5, INHBA, INIP, INKA1, INKA2, INO80, INO80C,


INO80D, INO80E, INPP4A, INPP5A, INPP5B, INPP5D, INPP5F, INPP5K, INPPL1, INSL6,


INSR, INSYN2A, INTS1, INTS11, INTS12, INTS2, INTS3, INTS5, INTS6, INTS6L,


INTS7, INTS8, INTS9, INTU, INVS, IP6K1, IP6K2, IPCEF1, IPO11, IPO13, IPO7, IPO8,


IPPK, IQCA1, IQCE, IQCG, IQCH, IQCK, IQCN, IQGAP3, IQSEC1, IQUB, IRAK1,


IRAK1BP1, IRAK2, IRAK3, IRF1, IRF2, IRF2BP1, IRF2BP2, IRF2BPL, IRF3, IRF5, IRF6,


IRF8, IRF9, IRGQ, IRS1, IRS2, IRX3, ISCA2, ISG15, ISG20, ISG20L2, ISL1, ISOC2, IST1,


ISY1, ISYNA1, ITCH, ITGA10, ITGA2, ITGA2B, ITGA3, ITGA4, ITGA5, ITGA6, ITGA7,


ITGA8, ITGAL, ITGAM, ITGAV, ITGAX, ITGB1, ITGB2, ITGB3, ITGB4, ITGB6, ITGB7,


ITGB8, ITIH5, ITK, ITM2A, ITM2B, ITM2C, ITPA, ITPKB, ITPR2, ITPR3, ITPRID2,


ITPRIP, ITPRIPL1, ITPRIPL2, ITSN1, IWS1, IYD, IZUMO4, JADE1, JADE2, JADE3,


JAG1, JAGN1, JAK1, JAK2, JAK3, JAKMIP1, JAKMIP2, JAM3, JAML, JDP2, JHY,


JMJD1C, JMJD6, JMJD7-PLA2G4B, JMJD8, JOSD1, JPH4, JPT1, JPT2, JRK, JTB, JUN,


JUNB, JUND, KALRN, KANK2, KANSL1-AS1, KANSL1L, KARS1, KAT2A, KAT5,


KAT7, KAT8, KATNAL1, KATNAL2, KATNB1, KATNBL1, KAZALD1, KBTBD11,


KBTBD2, KBTBD3, KBTBD8, KCNA10, KCNA2, KCNAB1, KCNAB2, KCNAB3,


KCNC4, KCND1, KCNE1B, KCNH2, KCNH3, KCNH8, KCNIP2, KCNJ1, KCNJ10,


KCNJ13, KCNJ16, KCNJ5, KCNK1, KCNK13, KCNK6, KCNK7, KCNMA1, KCNMB2,


KCNN4, KCNQ1, KCNQ3, KCTD1, KCTD11, KCTD12, KCTD13, KCTD17, KCTD20,


KCTD7, KCTD9, KDELR1, KDELR2, KDELR3, KDF1, KDM2A, KDM3B, KDM4B,


KDM4C, KDM5A, KDM5C, KDM5D, KDM6A, KDM6B, KDM7A, KEL, KHDC4,


KHDRBS1, KHDRBS3, KHNYN, KHSRP, KIAA0100, KIAA0232, KIAA0319L,


KIAA0355, KIAA0513, KIAA0556, KIAA0586, KIAA0825, KIAA0895, KIAA0895L,


KIAA0930, KIAA1143, KIAA1211L, KIAA1217, KIAA1324, KIAA1328, KIAA1522,


KIAA1614, KIAA1671, KIAA1841, KIAA1958, KIAA2012, KIAA2013, KIAA2026,


KIF16B, KIF20B, KIF21A, KIF21B, KIF22, KIF24, KIF26A, KIF2C, KIF3A, KIF3B,


KIF5B, KIFBP, KIFC2, KIN, KIT, KIZ, KLC1, KLC2, KLC3, KLC4, KLF1, KLF10,


KLF11, KLF12, KLF13, KLF15, KLF16, KLF2, KLF4, KLF5, KLF6, KLF9, KLHDC2,


KLHDC3, KLHDC4, KLHDC8A, KLHDC8B, KLHDC9, KLHL11, KLHL15, KLHL17,


KLHL18, KLHL21, KLHL22, KLHL25, KLHL26, KLHL28, KLHL29, KLHL3, KLHL36,


KLHL41, KLHL6, KLK1, KLK10, KLK11, KLK13, KLRB1, KLRC2, KLRC3, KLRD1,


KLRF1, KLRG1, KLRK1, KMO, KMT2B, KMT2C, KMT2D, KMT2E, KMT5C, KNDC1,


KPNA1, KPNA3, KPNA4, KPNA6, KPNA7, KPRP, KPTN, KRBA1, KRBOX4, KRCC1,


KRIT1, KRT1, KRT10, KRT13, KRT15, KRT16, KRT17, KRT18, KRT19, KRT23, KRT4,


KRT5, KRT6A, KRT6B, KRT6C, KRT7, KRT72, KRT73, KRT78, KRT8, KRT80,


KRTCAP2, KSR1, KTI12, KXD1, KYAT3, KYNU, L3MBTL1, L3MBTL2, LACC1,


LACTB, LACTB2, LAD1, LAIR2, LAMA1, LAMA2, LAMA3, LAMA5, LAMB1, LAMB2,


LAMB3, LAMC1, LAMP3, LAMTOR1, LAMTOR2, LAMTOR3, LAMTOR4, LAMTOR5,


LANCL3, LAP3, LAPTM5, LARGE2, LARP1B, LARP4, LARP7, LARS1, LARS2, LAS1L,


LASP1, LAT, LAT2, LBH, LBHD1, LBR, LCA5, LCA5L, LCAT, LCE3A, LCE3D, LCE3E,


LCK, LCLAT1, LCMT2, LCN2, LCORL, LCP1, LDB1, LDHAL6B, LDHB, LDHD, LDLR,


LDLRAD1, LDLRAD2, LDLRAP1, LDOC1, LEF1, LEKR1, LEMD2, LEMD3, LENG8,


LEO1, LEP, LEPROT, LEPROTL1, LETM1, LETM2, LETMD1, LFNG, LGALS2,


LGALS3, LGALS9B, LGMN, LGR4, LGR6, LHFPL2, LHFPL6, LHPP, LHX4, LIFR, LIG1,


LIG3, LIG4, LILRA1, LILRA2, LILRA5, LILRA6, LILRB1, LILRB2, LILRB4, LIMA1,


LIMCH1, LIMD1, LIMD2, LIMK1, LIMK2, LIMS1, LIN37, LIN54, LIN7C, LIN9,


LINC01410, LINC02701, LINGO3, LIPE, LITAF, LKAAEAR1, LLGL1, LLGL2, LMAN2,


LMBR1, LMBR1L, LMCD1, LMF1, LMF2, LMLN, LMNA, LMNTD1, LMNTD2, LMO3,


LMO4, LMO7, LMTK2, LMTK3, LNP1, LNX1, LONP1, LONRF2, LOX, LOXHD1,


LOXL1, LPAR1, LPAR2, LPAR3, LPAR5, LPCAT1, LPCAT3, LPCAT4, LPGAT1, LPIN2,


LPIN3, LPL, LPXN, LRATD1, LRBA, LRCH3, LRCH4, LRFN1, LRFN4, LRG1, LRIF1,


LRIG1, LRIG2, LRIG3, LRMDA, LRMP, LRP1, LRP10, LRP11, LRP2BP, LRP3, LRP5L,


LRR1, LRRC1, LRRC14, LRRC18, LRRC20, LRRC23, LRRC25, LRRC3, LRRC34,


LRRC36, LRRC37A3, LRRC37B, LRRC41, LRRC42, LRRC45, LRRC46, LRRC47,


LRRC49, LRRC58, LRRC6, LRRC63, LRRC71, LRRC74A, LRRC8A, LRRCC1, LRRFIP1,


LRRIQ1, LRRK1, LRRK2, LRRN1, LRRN2, LRRN3, LRWD1, LSAMP, LSG1, LSM12,


LSM14B, LSM3, LSM7, LSP1, LSR, LSS, LTA, LTB, LTB4R, LTB4R2, LTBP1, LTBP3,


LTBP4, LTBR, LTK, LTO1, LUC7L, LUC7L2, LUC7L3, LURAP1L, LVRN, LXN, LY6D,


LY6E, LY6G5B, LY9, LYL1, LYPD2, LYPD5, LYPD6B, LYPLA2, LYRM2, LYRM4,


LYRM9, LYSMD1, LYSMD2, LYSMD3, LYSMD4, LYST, LYVE1, LZTFL1, LZTS2,


LZTS3, M1AP, M6PR, MAATS1, MAB21L4, MACC1, MACROH2A1, MACROH2A2,


MAD1L1, MAD2L1BP, MAD2L2, MADD, MAEA, MAF1, MAFF, MAFG, MAFK,


MAGEE1, MAGEH1, MAGI1, MAGI3, MAGOH, MAGOHB, MAIP1, MAK16, MAL2,


MALAT1, MALL, MALSU1, MALT1, MAMDC4, MAML2, MAMLD1, MAN1A1,


MAN1B1, MAN2A1, MAN2A2, MAN2B1, MAN2B2, MAN2C1, MANEA, MANEAL,


MANF, MANSC4, MAP11, MAP1A, MAP1B, MAP1LC3C, MAP1S, MAP2K2, MAP2K3,


MAP2K5, MAP2K6, MAP2K7, MAP3K10, MAP3K11, MAP3K12, MAP3K14, MAP3K19,


MAP3K3, MAP3K4, MAP3K6, MAP3K7, MAP4, MAP4K1, MAP4K2, MAP4K3,


MAP4K4, MAP4K5, MAP6, MAP7, MAP7D1, MAP9, MAPK10, MAPK11, MAPK14,


MAPK1IP1L, MAPK3, MAPK6, MAPK8IP3, MAPKAP1, MAPKAPK3, MAPKBP1,


MAPRE1, MARC1, MARCHF1, MARCHF2, MARCHF6, MARCHF8, MARCHF9,


MARCO, MARF1, MARK2, MARS1, MARS2, MARVELD1, MARVELD2, MARVELD3,


MASP2, MAST3, MASTL, MATK, MAU2, MAVS, MAZ, MB, MBD1, MBD3, MBD4,


MBD6, MBLAC1, MBNL1, MBNL2, MBOAT7, MBP, MBTD1, MBTPS1, MC1R, MCC,


MCCC1, MCF2, MCFD2, MCIDAS, MCL1, MCM2, MCM3AP, MCM3AP-AS1, MCM4,


MCM5, MCM7, MCMBP, MCOLN1, MCPH1, MCR1P1, MCR1P2, MCRS1, MCTP1,


MCTP2, MCTS1, MCU, MCUR1, MDGA1, MDH1, MDH1B, MDM2, MDM4, ME1, ME2,


ME3, MECOM, MECP2, MED10, MED11, MED12, MED13, MED13L, MED14, MED15,


MED16, MED18, MED19, MED21, MED22, MED24, MED25, MED26, MED28, MED30,


MED7, MED8, MEF2D, MEFV, MEGF11, MEGF6, MEGF8, MEGF9, MEIS2, MEIS3,


MEMO1, MEN1, MEP1A, MEPCE, MEST, MET, METAP1, METAP1D, METAP2,


METTL14, METTL17, METTL21A, METTL23, METTL25, METTL3, METTL4, METTL5,


METTL6, METTL7B, METTL8, METTL9, MEX3C, MFAP1, MFAP5, MFGE8, MFN2,


MFNG, MFSD10, MFSD11, MFSD12, MFSD13A, MFSD14A, MFSD14B, MFSD14C,


MFSD2A, MFSD2B, MFSD3, MFSD4A, MFSD4B, MFSD6, MFSD8, MGA, MGAM,


MGAT1, MGAT4A, MGAT4B, MGLL, MGRN1, MGST2, MGST3, MIB2, MICAL1,


MICAL2, MICAL3, MICALL1, MICALL2, MICOS13, MICU2, MID1, MID1IP1, MIDN,


MIEN1, MIER1, MIF4GD, MIGA2, MIIP, MINCR, MINDY2, MINK1, MIPOL1,


MIR155HG, MIR421, MIR4435-2HG, MIS12, MITF, MKKS, MKNK2, MKRN1, MLC1,


MLEC, MLF1, MLF2, MLH1, MLLT1, MLLT11, MLLT3, MLLT6, MLPH, MLST8, MLX,


MLXIP, MLYCD, MMAA, MMAB, MMADHC, MME, MMGT1, MMP1, MMP10,


MMP12, MMP17, MMP19, MMP23B, MMP24, MMP25, MMP7, MMP9, MMRN1,


MMS19, MMS22L, MMUT, MNAT1, MNS1, MNT, MOAP1, MOB1A, MOB2, MOB3A,


MOB3B, MOB3C, MOB4, MOCOS, MOCS2, MOCS3, MOGS, MOK, MORC4, MORN1,


MORN2, MORN3, MORN5, MOSPD1, MOSPD2, MOSPD3, MOV10, MPC1, MPC2,


MPDU1, MPDZ, MPEG1, MPG, MPHOSPH6, MPIG6B, MPO, MPP1, MPP5, MPPE1,


MPRIP, MPST, MPV17, MPV17L, MPV17L2, MPZL2, MR1, MRAP2, MRAS, MRC1,


MRFAP1, MRFAP1L1, MRI1, MRM2, MRNIP, MRO, MROH1, MRPL1, MRPL13,


MRPL17, MRPL18, MRPL19, MRPL2, MRPL20, MRPL21, MRPL23, MRPL27, MRPL28,


MRPL32, MRPL33, MRPL34, MRPL35, MRPL36, MRPL37, MRPL38, MRPL39, MRPL4,


MRPL40, MRPL42, MRPL44, MRPL45, MRPL46, MRPL48, MRPL50, MRPL51, MRPL54,


MRPL57, MRPL58, MRPS10, MRPS12, MRPS14, MRPS16, MRPS18B, MRPS18C,


MRPS2, MRPS23, MRPS25, MRPS26, MRPS30, MRPS31, MRPS33, MRPS34, MRPS35,


MRPS36, MRPS5, MRTFA, MRTFB, MS4A1, MS4A14, MS4A2, MS4A3, MS4A4A,


MS4A8, MSANTD3, MSANTD4, MSH3, MSH5, MSH6, MSI2, MSL1, MSL2, MSL3,


MSLN, MSMB, MSN, MSR1, MSRB1, MSRB3, MSS51, MSTO1, MT1E, MT1F, MT1G,


MT1H, MT1X, MT2A, MT3, MTA1, MTA2, MTAP, MT-ATP6, MT-ATP8, MTBP,


MTCH1, MTCH2, MT-CO1, MT-CO2, MT-CO3, MT-CYB, MTDH, MTERF1, MTF2,


MTFR1L, MTG1, MTHFD1L, MTHFD2, MTHFD2L, MTHFR, MTHFSD, MTIF2, MTIF3,


MTLN, MTMR11, MTMR14, MTMR2, MTMR3, MTMR9, MT-ND1, MT-ND2, MT-ND3,


MT-ND4, MT-ND4L, MT-ND5, MT-ND6, MTPN, MTR, MTREX, MTRF1, MTRNR2L1,


MTRNR2L10, MTRNR2L12, MTRNR2L3, MTRNR2L5, MTRNR2L6, MTRNR2L7,


MTRNR2L8, MTRR, MTUS1, MTX1, MTX2, MTX3, MUC1, MUC13, MUC15, MUC16,


MUC2, MUC20, MUC21, MUC22, MUC4, MUC5AC, MUC5B, MUC7, MUL1, MUS81,


MUTYH, MVB12A, MVD, MVK, MVP, MX1, MXD3, MXD4, MXI1, MXRA7, MXRA8,


MYADM, MYB, MYBBP1A, MYBL1, MYBL2, MYCBP2, MYCBPAP, MYCL, MYDGF,


MYEF2, MYH14, MYH9, MYL12A, MYL12B, MYL4, MYL5, MYL6, MYL6B, MYL9,


MYLIP, MYLK, MYLK4, MYNN, MYO10, MYO15A, MYO15B, MYO18A, MYO19,


MYO1B, MYO1C, MYO1D, MYO1E, MYO1F, MYO1G, MYO5A, MYO5B, MYO5C,


MYO6, MYO9A, MYO9B, MYOF, MYOM1, MYOM2, MYPOP, MYRF, MYRIP,


MYZAP, MZF1, MZT2B, N4BP1, N4BP2L2, N4BP3, N6AMT1, NAA15, NAA16, NAA25,


NAA40, NAA50, NAA80, NAAA, NAALADL2, NAB1, NABP1, NACA, NACA2, NACC1,


NACC2, NADSYN1, NAGA, NAGK, NAGPA, NAIF1, NAIP, NANP, NAP1L4, NAPA,


NAPB, NAPEPLD, NAPRT, NARF, NARS1, NARS2, NAT14, NAT8B, NAT9, NATD1,


NAV2, NAXD, NBAS, NBDY, NBEA, NBEAL1, NBEAL2, NBN, NBPF10, NBPF11,


NBPF12, NBPF14, NBPF15, NBPF19, NBPF20, NBPF26, NBPF3, NBPF8, NBPF9, NBR1,


NCALD, NCAM1, NCAPD2, NCAPD3, NCAPG2, NCAPH2, NCBP2, NCBP3, NCCRP1,


NCEH1, NCF1, NCF2, NCK1, NCK2, NCKAP1, NCKAP5, NCKAP5L, NCL, NCLN,


NCMAP, NCOA2, NCOA5, NCOA7, NCOR1, NCOR2, NCR1, NCR3, NCS1, NCSTN,


NDE1, NDEL1, NDFIP1, NDFIP2, NDN, NDNF, NDOR1, NDRG1, NDRG2, NDST1,


NDST2, NDUFA1, NDUFA10, NDUFA12, NDUFA13, NDUFA2, NDUFA3, NDUFA4,


NDUFA5, NDUFA6, NDUFA8, NDUFAB1, NDUFAF2, NDUFAF3, NDUFB1, NDUFB2,


NDUFB3, NDUFB4, NDUFB6, NDUFB7, NDUFB8, NDUFB9, NDUFC1, NDUFS3,


NDUFS4, NDUFS5, NDUFS6, NDUFS7, NDUFV1, NDUFV2, NDUFV3, NEBL, NECAB3,


NECAP1, NECTIN4, NEDD9, NEIL1, NEIL3, NEK1, NEK10, NEK11, NEK2, NEK4,


NEK5, NEK6, NEK7, NEK8, NEK9, NELFB, NELFCD, NELFE, NEMF, NEMP1, NEMP2,


NENF, NEO1, NET1, NETO1, NEU4, NEURL1, NEURL1B, NEURL2, NEURL3,


NEURL4, NEXMIF, NF1, NFAM1, NFAT5, NFATC1, NFATC2, NFATC2IP, NFE2,


NFE2L1, NFE2L2, NFIA, NFIB, NFIC, NFIL3, NFKB2, NFKBIA, NFKBIB, NFKBID,


NFKBIE, NFKBIL1, NFKBIZ, NFS1, NFX1, NFXL1, NFYC, NGEF, NGRN, NHLRC2,


NHP2, NHS, NHSL1, NHSL2, NIBAN2, NIBAN3, NIDI, NIF3L1, NIFK, NIN, NINJ2,


NINL, NIP7, NIPBL, NISCH, NIT1, NKAP, NKAPD1, NKG7, NKIRAS1, NKIRAS2,


NKTR, NKX2-1, NKX3-1, NLGN2, NLGN3, NLK, NLRC3, NLRC4, NLRC5, NLRP1,


NLRP12, NLRP3, NLRP6, NLRX1, NMB, NMD3, NME1, NME2, NME3, NME4, NME5,


NME7, NME9, NMI, NMNAT2, NMRAL1, NMT1, NMT2, NMUR1, NNAT, NNT,


NOC2L, NOC4L, NOCT, NOD2, NOL4L, NOL6, NOL7, NOL9, NOM1, NOMO1, NOMO2,


NOMO3, NONO, NOP10, NOP53, NOP56, NOP9, NOS2, NOSIP, NOTCH1, NOTCH2,


NOTCH2NLA, NOTCH4, NOX4, NOXA1, NPAS2, NPAS3, NPAT, NPEPL1, NPIPA1,


NPIPA2, NPIPA3, NPIPA5, NPIPA7, NPIPA8, NPIPB12, NPIPB13, NPIPB15, NPIPB2,


NPIPB3, NPIPB4, NPIPB5, NPIPB6, NPIPB9, NPL, NPLOC4, NPM3, NPNT, NPRL3,


NPTN, NPTXR, NPW, NQO1, NR1H2, NR1H3, NR2F2, NR2F6, NR3C1, NR4A1, NR4A2,


NRAS, NRBF2, NRBP2, NRCAM, NRDC, NRG1, NRG4, NRGN, NRIP1, NRIP2, NRM,


NRP1, NRP2, NRROS, NRXN1, NRXN3, NSA2, NSD1, NSF, NSFL1C, NSG1, NSL1,


NSMAF, NSMCE1, NSMCE3, NSMF, NSRP1, NSUN2, NSUN5, NSUN6, NSUN7, NT5C2,


NT5DC2, NT5DC3, NT5M, NTAN1, NTF4, NTMT1, NTN4, NTNG2, NTRK3, NTSR1,


NUAK1, NUAK2, NUBP1, NUBP2, NUBPL, NUCB1, NUCKS1, NUDCD1, NUDCD2,


NUDCD3, NUDT12, NUDT14, NUDT15, NUDT16L1, NUDT17, NUDT19, NUDT2,


NUDT21, NUDT22, NUDT3, NUDT5, NUDT8, NUFIP1, NUFIP2, NUGGC, NUMA1,


NUP188, NUP205, NUP210, NUP42, NUP50, NUP54, NUP58, NUP62, NUP85, NUP88,


NUP93, NUPR1, NUS1, NUTM2A, NUTM2D, NUTM2G, NWD1, NXF1, NXF3, NXN,


NXPE3, OAF, OAS1, OAS2, OASL, OAT, OAZ1, OAZ2, OBI1, OBSCN, OCIAD1, OCLN,


OCRL, ODF2, ODF2L, ODF3B, OFD1, OGA, OGDH, OGFOD1, OGFOD3, OGFR, OGG1,


OGT, OLA1, OLAH, OLFML2A, OLFML2B, OLFML3, OLIG1, OLR1, OMA1, OMD,


OMG, OPA3, OPHN1, OPLAH, OPRL1, OR2A4, OR2A42, OR2A7, OR2B6, OR2W3,


OR5AU1, ORAI1, ORAI2, ORAI3, ORC1, ORC2, ORC3, ORM2, ORMDL1, ORMDL2,


ORMDL3, OS9, OSBP2, OSBPL11, OSBPL1A, OSBPL2, OSBPL5, OSBPL6, OSBPL7,


OSBPL8, OSBPL9, OSCP1, OSER1, OSGEP, OSGIN2, OSMR, OSR2, OTOA, OTUB1,


OTUB2, OTUD1, OTUD3, OTUD6B, OTUD7B, OTULIN, OTX1, OVCH1, OVGP1,


OXA1L, OXER1, OXLD1, OXNAD1, OXSR1, P2RX1, P2RX4, P2RX5, P2RY10, P2RY13,


P2RY8, P3H1, P4HA1, P4HA2, P4HB, P4HTM, PABPC1L, PABPC3, PABPN1, PACRG,


PACS1, PACS2, PACSIN1, PACSIN2, PADI1, PADI4, PAFAH1B1, PAFAH1B2, PAG1,


PAGE2B, PAIP2, PAK1, PAKHP1, PAK4, PALB2, PALLD, PALMD, PAM16, PAN2,


PAN3, PANK1, PANK2, PANK4, PANX2, PAPLN, PAPSS1, PAPSS2, PAQR4, PAQR5,


PAQR6, PAQR7, PAQR8, PARD3, PARD3B, PARD6A, PARD6B, PARG, PARK7, PARE,


PARP1, PARP10, PARP11, PARP14, PARP15, PARP2, PARP4, PARP8, PARVA, PARVB,


PARVG, PASK, PATL2, PATZ1, PAX5, PAX9, PAXBP1, PBDC1, PBLD, PBRM1, PBX2,


PBX3, PBX4, PBXIP1, PCBD1, PCBP1, PCBP2, PCBP4, PCCA, PCDH12, PCDH9,


PCDHGB7, PCED1A, PCED1B, PCGF3, PCGF6, PCIF1, PCLO, PCM1, PCMT1, PCMTD2,


PCNA, PCNP, PCNT, PCNX1, PCNX3, PCOLCE2, PCP4L1, PCSK1N, PCSK5, PCSK6,


PCSK7, PCYOX1, PCYOX1L, PDAP1, PDC, PDCD1, PDCD10, PDCD11, PDCD1LG2,


PDCD2L, PDCD6, PDCL3, PDE2A, PDE3A, PDE4D, PDE4DIP, PDE5A, PDE6B, PDE6D,


PDE7A, PDE8A, PDE8B, PDE9A, PDGFA, PDGFC, PDGFRB, PDHA1, PDHX, PDIA3,


PDIA4, PDIA5, PDIA6, PDK1, PDK3, PDK4, PDLIM1, PDLIM2, PDLIM3, PDLIM5,


PDLIM7, PDP1, PDPR, PDRG1, PDS5B, PDSS1, PDXDC1, PDZD11, PDZD2, PDZD4,


PDZD8, PDZK1, PDZK1IP1, PEAK1, PEAK3, PEAR1, PEBP1, PEBP4, PEG10, PEG3,


PELI1, PELI2, PELP1, PEMT, PER1, PER2, PER3, PERP, PES1, PET100, PEX1, PEX10,


PEX11B, PEX13, PEX16, PEX26, PF4, PF4V1, PFDN1, PFDN2, PFDN5, PFDN6, PFKFB3,


PFKFB4, PFKL, PFKM, PFKP, PFN1, PFN2, PFN4, PGA3, PGA4, PGA5, PGAM1,


PGAM4, PGAM5, PGAP2, PGAP3, PGAP4, PGAP6, PGBD2, PGBD4, PGD, PGGHG,


PGGT1B, PGK1, PGM2, PGM2L1, PGM3, PGM5, PGPEP1, PGRMC1, PGS1, PHACTR1,


PHACTR2, PHACTR4, PHAX, PHB2, PHC2, PHC3, PHETA1, PHEX, PHF1, PHF10,


PHF12, PHF13, PHF14, PHF19, PHF2, PHF21A, PHF3, PHF5A, PHF6, PHF8, PHKG2,


PHLDA1, PHLDA3, PHLDB3, PHLPP1, PHOSPHO1, PHRF1, PHTF2, PHYH, PHYHD1,


PHYKPL, PI3, PI4K2A, PI4K2B, PI4KA, PI4KB, PIAS1, PIAS2, PIAS3, PIAS4, PIBF1,


PICALM, PICK1, PID1, PIDD1, PIEZO1, PIF1, PIFO, PIGA, PIGF, PIGG, PIGK, PIGL,


PIGM, PIGO, PIGP, PIGQ, PIGR, PIGS, PIGT, PIGU, PIGX, PIGZ, PIH1D1, PIH1D2,


PIK3C2A, PIK3C2B, PIK3CD, PIK3IP1, PIK3R3, PIK3R5, PIK3R6, PILRB, PIM1, PIM2,


PIM3, PIN1, PIN4, PINK1, PIP, PIP4K2A, PIP4K2B, PIP4K2C, PIP4P1, PIP4P2, PIP5K1A,


PIP5K1C, PIP5KL1, PIR, PITPNA, PITPNB, PITPNC1, PITPNM1, PITPNM2, PITX1,


PIWIL4, PJA2, PKD1, PKD1L3, PKD2, PKD2L1, PKDCC, PKHD1L1, PKIB, PKM,


PKMYT1, PKN1, PKNOX1, PKP1, PKP2, PKP3, PKP4, PLA1A, PLA2G10, PLA2G4C,


PLA2G6, PLA2G7, PLA2R1, PLAAT2, PLAGL2, PLAT, PLAU, PLAUR, PLBD1, PLCB1,


PLCB2, PLCB4, PLCD1, PLCD3, PLCE1, PLCG1, PLCG2, PLCH1, PLCH2, PLCL2,


PLCXD1, PLD1, PLD2, PLD3, PLD4, PLD6, PLEC, PLEK, PLEK2, PLEKHA3, PLEKHA5,


PLEKHA7, PLEKHF1, PLEKHF2, PLEKHG2, PLEKHG3, PLEKHJ1, PLEKHM1,


PLEKHM2, PLEKHM3, PLEKHO2, PLEKHS1, PLGLB1, PLGLB2, PLGRKT, PLIN2,


PLIN3, PLIN4, PLK1, PLK2, PLK3, PLOD1, PLOD3, PLP2, PLPP2, PLPP3, PLPP6,


PLPPR2, PLS1, PLS3, PLSCR4, PLVAP, PLXDC1, PLXDC2, PLXNA1, PLXNA3,


PLXNA4, PLXNB2, PLXNB3, PLXNC1, PLXND1, PMEPA1, PMF1, PMFBP1, PMM1,


PMM2, PMP22, PMPCA, PMPCB, PMS1, PMVK, PNISR, PNKD, PNKP, PNMA3,


PNMA8A, PNN, PNP, PNPLA1, PNPLA2, PNPLA3, PNPLA4, PNPLA6, PNPLA8, PNPO,


POC1B, PODXL, POF1B, POFUT1, POFUT2, POGLUT1, POGLUT3, POLA1, POLA2,


POLB, POLDI, POLD3, POLD4, POLDIP2, POLDIP3, POLE, POLE3, POLG, POLG2,


POLK, POLL, POLM, POLR1A, POLR1B, POLR2A, POLR2B, POLR2C, POLR2E,


POLR2F, POLR2G, POLR2H, POLR2I, POLR2J2, POLR2J3, POLR2K, POLR2L,


POLR2M, POLR3B, POLR3C, POLR3E, POLR3F, POLR3H, POLR3K, POLRMT,


POM121, POM121C, POMGNT1, POMGNT2, POMK, POMP, POMT1, POMT2, POMZP3,


POP4, POPDC2, POR, POSTN, POT1, POTEE, POTEF, POTEI, POTEJ, POU2F1, POU2F2,


POU5F2, POU6F1, PP2D1, PPA1, PPA2, PPAN, PPARD, PPARG, PPARGC1A,


PPARGC1B, PPBP, PPCDC, PPCS, PPDPF, PPFIA1, PPFIBP1, PPHLN1, PPIB, PPIC,


PPID, PPIE, PPIF, PPIG, PPIL1, PPIL2, PPIL4, PPIL6, PPIP5K1, PPL, PPM1A, PPM1B,


PPM1D, PPM1F, PPM1G, PPM1H, PPM1K, PPM1L, PPM1M, PPOX, PPP1CA, PPP1CC,


PPP1R10, PPP1R12C, PPP1R13L, PPP1R14C, PPP1R15A, PPP1R15B, PPP1R16B,


PPP1R18, PPP1R1A, PPP1R1B, PPP1R32, PPP1R36, PPP1R3C, PPP1R3E, PPP1R3F,


PPP1R8, PPP1R9A, PPP1R9B, PPP2CA, PPP2CB, PPP2R1A, PPP2R1B, PPP2R2A,


PPP2R2B, PPP2R2D, PPP2R3A, PPP2R5A, PPP2R5B, PPP2R5D, PPP3CA, PPP3CC,


PPP3R1, PPP4C, PPP5C, PPP5D1, PPP6C, PPP6R1, PPP6R2, PPP6R3, PPRC1, PPT1,


PPT2, PPTC7, PPWD1, PQBP1, PRADC1, PRAF2, PRAG1, PRAM1, PRB1, PRB3, PRB4,


PRCC, PRDM1, PRDM10, PRDM15, PRDM2, PRDX1, PRDX2, PRDX3, PREB, PRELID1,


PRELID3A, PRELID3B, PREP, PREPL, PREX1, PRF1, PRH2, PRICKLE2, PRICKLE3,


PRIMPOL, PRKAAI, PRKAA2, PRKAB1, PRKAB2, PRKACA, PRKACB, PRKAG1,


PRKAG2, PRKAG3, PRKAR2A, PRKCA, PRKCB, PRKCD, PRKCH, PRKCI, PRKCQ,


PRKCSH, PRKD2, PRKD3, PRKN, PRKRA, PRKRIP1, PRMT1, PRMT2, PRMT6,


PRMT7, PRNP, PROCA1, PROCR, PROM1, PROM2, PRORP, PROS1, PROSER3,


PROX1, PRPF19, PRPF38B, PRPF39, PRPF40A, PRPF4B, PRPF6, PRPF8, PRPS1,


PRPSAP1, PRPSAP2, PRR11, PRR12, PRR13, PRR14, PRR15, PRR15L, PRR18, PRR29,


PRR5, PRR7, PRRC1, PRRC2A, PRRC2B, PRRC2C, PRRG3, PRRT4, PRRX1, PRRX2,


PRSS12, PRSS16, PRSS21, PRSS23, PRSS3, PRSS36, PRSS53, PRUNE1, PRUNE2, PRX,


PRXL2A, PRXL2B, PRXL2C, PSAP, PSCA, PSD, PSD3, PSD4, PSEN2, PSENEN, PSKH1,


PSMA2, PSMA3, PSMA4, PSMA6, PSMA7, PSMB1, PSMB10, PSMB2, PSMB5, PSMB7,


PSMB8, PSMC2, PSMC3IP, PSMC4, PSMC6, PSMD1, PSMD10, PSMD12, PSMD13,


PSMD14, PSMD2, PSMD3, PSMD5, PSMD8, PSME3, PSME4, PSMF1, PSMG1, PSMG2,


PSPC1, PSPH, PSRC1, PSTPIP1, PSTPIP2, PTAFR, PTAR1, PTBP1, PTBP2, PTBP3,


PTCD1, PTCRA, PTDSS1, PTDSS2, PTER, PTGDR, PTGDS, PTGER2, PTGER3,


PTGER4, PTGES, PTGES2, PTGES3L, PTGFR, PTGIR, PTGR1, PTGS1, PTK2, PTK2B,


PTMA, PTN, PTOV1, PTP4A1, PTP4A3, PTPA, PTPN12, PTPN13, PTPN14, PTPN18,


PTPN23, PTPN3, PTPN4, PTPN6, PTPN7, PTPRC, PTPRE, PTPRF, PTPRJ, PTPRK,


PTPRM, PTPRO, PTPRS, PTPRT, PTPRU, PTPRZ1, PTRH2, PTRHD1, PTX3, PUDP,


PUF60, PUM2, PUM3, PURA, PURB, PUS1, PUS10, PUS3, PWP1, PWP2, PWWP2B,


PWWP3A, PXDC1, PXDN, PXK, PXMP4, PXN, PXYLP1, PYCARD, PYCR2, PYGB,


PYGM, PYGO2, PYHIN1, PYM1, PYROXD2, PYURF, QARS1, QPCT, QPCTL, QRICH1,


QSER1, QSOX1, QSOX2, QTRT1, R3HDM4, RAB10, RAB11B, RAB11FIP1, RAB11FIP3,


RAB11FIP4, RAB12, RAB13, RAB1A, RAB1B, RAB20, RAB21, RAB22A, RAB23,


RAB24, RAB25, RAB27A, RAB30, RAB32, RAB35, RAB36, RAB37, RAB38, RAB39A,


RAB39B, RAB3C, RAB3D, RAB40B, RAB40C, RAB42, RAB43, RAB44, RAB5IF,


RAB6B, RAB7A, RAB7B, RAB8B, RAB9A, RABAC1, RABEP1, RABEP2, RABEPK,


RABGAP1, RABGAP1L, RABGEF1, RABGGTA, RABGGTB, RABIF, RABL2A,


RABL2B, RABL6, RAC1, RAC2, RAD17, RAD18, RAD23A, RAD51AP1, RAD51D,


RAD54L2, RAD9A, RADX, RAE1, RAF1, RAI1, RAI14, RAI2, RALBP1, RALGAPA2,


RALGAPB, RALGPS2, RALY, RAMAC, RAN, RANBP10, RANBP17, RANBP2,


RANBP6, RANBP9, RANGAP1, RAP1A, RAP1GAP, RAP2A, RAP2B, RAPGEF1,


RAPGEF4, RAPH1, RARA, RARB, RARG, RARRES1, RARS1, RARS2, RASA2, RASA3,


RASAL2, RASAL3, RASEF, RASGEF1A, RASGEF1B, RASGRP1, RASGRP2, RASGRP3,


RASGRP4, RASSF1, RASSF2, RASSF3, RASSF5, RASSF6, RASSF8, RASSF9, RAVER1,


RAVER2, RB1, RBBP4, RBBP6, RBBP8, RBBP9, RBCK1, RBFA, RBFOX2, RBL1, RBL2,


RBM10, RBM11, RBM12, RBM12B, RBM14, RBM14-RBM4, RBM15, RBM17, RBM18,


RBM19, RBM22, RBM23, RBM24, RBM27, RBM3, RBM33, RBM34, RBM38, RBM39,


RBM4, RBM41, RBM43, RBM44, RBM47, RBM5, RBM6, RBMS2, RBMS3, RBMX,


RBMXL1, RBP1, RBP4, RBP5, RBPJ, RBPMS, RBSN, RBX1, RCBTB2, RCC1, RCC1L,


RCE1, RCHY1, RCL1, RCN2, RCN3, RCSD1, RDH10, RDH11, RDH12, RDH13, RDH5,


RDX, REC8, REEP3, RELA, RELB, RELCH, RELL2, RELT, REM2, RENBP, REPIN1,


REPS1, RER1, RERE, RERG, RESF1, REST, RETREG1, RETREG2, RETREG3, RETSAT,


REV3L, REX1BD, REXO1, REXO4, REXO5, RFC1, RFFL, RFK, RFLNB, RFNG, RFTN1,


RFWD3, RFX1, RFX2, RFX5, RFX7, RFXANK, RFXAP, RGCC, RGL1, RGL2, RGL3,


RGL4, RGN, RGP1, RGPD1, RGPD2, RGPD4, RGPD5, RGPD6, RGPD8, RGS1, RGS12,


RGS14, RGS16, RGS17, RGS18, RGS22, RGS3, RGS6, RGS7BP, RGS9, RHAG, RHBDD1,


RHBDF2, RHCE, RHCG, RHD, RHEB, RHNO1, RHO, RHOBTB2, RHOBTB3, RHOF,


RHOG, RHOQ, RHOT2, RHOU, RHOV, RHOXF2, RHOXF2B, RHPN1, RHPN2, RIBC1,


RIBC2, RIC1, RIC8A, RIDA, RIF1, RILP, RILPL2, RIMBP3, RIMBP3B, RIMKLB, RIMS1,


RIMS3, RIN1, RIN2, RINL, RIOK1, RIOK2, RIOK3, RIOX1, RIPK1, RIPOR1, RIPOR2,


RIPOR3, RMC1, RMDN3, RMND1, RMND5A, RMND5B, RNASE10, RNASE6, RNASE7,


RNASEH2C, RNASEK, RNASEL, RNASET2, RND3, RNF10, RNF11, RNF111, RNF121,


RNF122, RNF123, RNF125, RNF126, RNF13, RNF139, RNF144A, RNF145, RNF149,


RNF150, RNF152, RNF157, RNF165, RNF166, RNF167, RNF169, RNF180, RNF181,


RNF182, RNF187, RNF2, RNF20, RNF212, RNF215, RNF217, RNF220, RNF24, RNF25,


RNF26, RNF31, RNF38, RNF39, RNF40, RNF41, RNF44, RNF5, RNF6, RNF7, RNF8,


RNFT1, RNGTT, RNH1, RNLS, RNPC3, RNPEPL1, RNPS1, RO60, ROBO1, ROBO3,


ROCK2, ROGDI, ROMO1, ROPN1B, ROPN1L, RORB, ROS1, RP1, RPA1, RPA3, RPE,


RPF1, RPF2, RPGRIP1L, RPL11, RPL12, RPL13A, RPL14, RPL15, RPL17, RPL18A,


RPL19, RPL21, RPL22, RPL22L1, RPL23, RPL24, RPL26, RPL26L1, RPL27, RPL27A,


RPL28, RPL29, RPL30, RPL31, RPL35, RPL35A, RPL36, RPL36AL, RPL37, RPL37A,


RPL38, RPL41, RPL5, RPL6, RPL7, RPL7A, RPL7L1, RPL9, RPLP0, RPLP1, RPLP2,


RPN1, RPN2, RPP21, RPP25, RPP25L, RPP30, RPRD1A, RPRD2, RPS11, RPS12, RPS13,


RPS14, RPS15, RPS15A, RPS16, RPS17, RPS18, RPS19, RPS20, RPS24, RPS25, RPS27,


RPS27A, RPS27L, RPS29, RPS3A, RPS4X, RPS4Y1, RPS5, RPS6, RPS6KA1, RPS6KA2,


RPS6KA3, RPS6KA4, RPS6KB2, RPS7, RPS8, RPS9, RPSA, RPTN, RPUSD1, RPUSD4,


RRAGA, RRAGB, RRAGC, RRAGD, RRAS, RRBP1, RRM1, RRM2B, RRN3, RRP12,


RRP8, RRP9, RSAD2, RSBN1, RSF1, RSKR, RSL1D1, RSL24D1, RSPH1, RSPH10B,


RSPH10B2, RSPH3, RSPH4A, RSPH9, RSPO3, RSRC1, RSRC2, RSRP1, RTCA, RTEL1,


RTF2, RTL5, RTL6, RTL8A, RTL8B, RTL8C, RTN1, RTN3, RTP4, RTTN, RUBCN,


RUFY2, RUFY3, RUNDC1, RUNDC3A, RUNX3, RUSC2, RUVBL1, RWDD1, RWDD2B,


RWDD4, RXRA, RXRB, RXYLT1, RYK, RYR3, S100A10, S100A11, S100A12, S100A13,


S100A14, S100A16, S100A2, S100A3, S100A4, S100A6, S100A7, S100A9, S100B, S100P,


S100PBP, SIPR1, S1PR3, S1PR4, S1PR5, SAA1, SAE1, SAFB, SAFB2, SALL4, SAMD1,


SAMD10, SAMD12, SAMD14, SAMD15, SAMD3, SAMD4A, SAMD4B, SAMD8,


SAMD9, SAMD9L, SAMHD1, SAMM50, SAMSN1, SAP130, SAP18, SAP30, SAP30BP,


SAP30-DT, SAPCD2, SAR1B, SARAF, SARS1, SART1, SASH1, SASH3, SAV1, SAXO2,


SAYSD1, SBDS, SBF1, SBF2, SBF2-AS1, SBNO1, SBNO2, SCAF1, SCAF11, SCAF4,


SCAI, SCAMP2, SCAMP3, SCAMP4, SCAMP5, SCAND1, SCAP, SCARA3, SCARB2,


SCARF1, SCCPDH, SCD, SCD5, SCEL, SCFD2, SCGB1A1, SCGB3A1, SCGB3A2, SCIN,


SCLY, SCMH1, SCML4, SCN1B, SCN3A, SCNN1A, SCNN1D, SCNN1G, SCO1, SCOC,


SCP2, SCPEP1, SCRIB, SCRN2, SCRN3, SCUBE3, SCYL1, SDAD1, SDC2, SDC3,


SDCBP, SDCBP2, SDCCAG8, SDE2, SDF4, SDHAF2, SDHB, SDHC, SDHD, SDK1,


SDK2, SDR16C5, SDR39U1, SDS, SDSL, SEC11A, SEC14L1, SEC14L2, SEC14L5,


SEC14L6, SEC16A, SEC22A, SEC24A, SEC24B, SEC24C, SEC31A, SEC31B, SEC61A1,


SEC61A2, SEC61B, SEC61G, SECISBP2, SECISBP2L, SECTM1, SEH1L, SEL1L,


SELENBP1, SELENOI, SELENOK, SELENON, SELENOO, SELENOW, SELL, SELP,


SELPLG, SEM1, SEMA3A, SEMA3C, SEMA3F, SEMA4A, SEMA4B, SEMA4C,


SEMA4D, SEMA4F, SEMA6A, SEMA6B, SEMA6C, SEMA7A, SENP1, SENP3, SENP5,


SENP7, SENP8, SEPHS1, SEPHS2, SEPTIN1, SEPTIN10, SEPTIN11, SEPTIN3, SEPTIN4,


SEPTIN6, SEPTIN7, SEPTIN9, SERAC1, SERBP1, SERF1B, SERF2, SERGEF, SERHL2,


SERINC1, SERINC3, SERINC5, SERPINB1, SERPINB10, SERPINB11, SERPINB12,


SERPINB13, SERPINB2, SERPINB3, SERPINB4, SERPINB5, SERPINB9, SERPINE1,


SERPINE2, SERPINF1, SERPINF2, SERPING1, SERTAD2, SERTAD3, SERTAD4,


SESN2, SESN3, SETD1A, SETD1B, SETD2, SETD4, SETD6, SETD7, SETDB1, SETDB2,


SETMAR, SETX, SF1, SF3A1, SF3A2, SF3A3, SF3B1, SF3B2, SF3B3, SF3B4, SF3B6,


SFI1, SFMBT2, SFPQ, SFR1, SFRP5, SFSWAP, SFT2D2, SFTPA1, SFTPA2, SFTPB,


SFTPC, SFTPD, SFXN1, SFXN5, SGCE, SGK1, SGO2, SGPL1, SGPP2, SGSH, SGSM2,


SGSM3, SGTA, SH2B1, SH2B2, SH2B3, SH2D1A, SH2D1B, SH2D2A, SH2D3A,


SH2D3C, SH3BGRL, SH3BGRL3, SH3BP1, SH3BP2, SH3BP4, SH3BP5L, SH3D19,


SH3GL1, SH3GLB2, SH3KBP1, SH3PXD2A, SH3TC1, SH3TC2, SHARPIN, SHC1, SHC3,


SHC4, SHCBP1, SHFL, SHISA2, SHISA5, SHISA6, SHISA7, SHISAL2A, SHKBP1,


SHLD3, SHMT1, SHMT2, SHOC1, SHOC2, SHQ1, SHROOM2, SHROOM3, SHTN1,


SIAE, SIAH1, SIAH2, SIAH3, SIDT1, SIGIRR, SIGLEC11, SIGLEC12, SIGLEC16,


SIGLEC9, SIGMAR1, SIK1, SIK1B, SIK2, SIK3, SIN3B, SIPA1, SIPA1L1, SIPA1L2,


SIPA1L3, SIRPA, SIRPB2, SIRPD, SIRT2, SIRT3, SIRT5, SIRT7, SITI, SIVA1, SIX1,


SIX2, SIX4, SKA2, SKA3, SKAP1, SKI, SKIL, SKIV2L, SKP1, SLA, SLA2, SLAIN1,


SLAIN2, SLAMF8, SLAMF9, SLBP, SLC10A3, SLC10A5, SLC11A1, SLC11A2,


SLC12A1, SLC12A4, SLC12A6, SLC12A7, SLC12A9, SLC14A1, SLC15A2, SLC15A3,


SLC15A4, SLC16A10, SLC16A13, SLC16A3, SLC16A5, SLC16A6, SLC16A7, SLC16A8,


SLC16A9, SLC17A9, SLC18B1, SLC19A1, SLC19A2, SLC19A3, SLC1A1, SLC1A3,


SLC1A5, SLC20A1, SLC22A13, SLC22A15, SLC22A17, SLC22A18, SLC22A3, SLC23A1,


SLC23A2, SLC24A3, SLC24A4, SLC25A1, SLC25A11, SLC25A14, SLC25A15,


SLC25A17, SLC25A20, SLC25A22, SLC25A23, SLC25A24, SLC25A28, SLC25A29,


SLC25A3, SLC25A30, SLC25A35, SLC25A36, SLC25A37, SLC25A38, SLC25A39,


SLC25A4, SLC25A42, SLC25A43, SLC25A45, SLC25A6, SLC26A1, SLC26A6, SLC26A8,


SLC27A1, SLC27A2, SLC27A3, SLC29A1, SLC29A2, SLC29A3, SLC2A1, SLC2A10,


SLC2A11, SLC2A12, SLC2A14, SLC2A3, SLC2A4RG, SLC2A6, SLC2A9, SLC30A6,


SLC30A7, SLC30A9, SLC31A1, SLC31A2, SLC33A1, SLC34A2, SLC35A2, SLC35A3,


SLC35A4, SLC35B2, SLC35B4, SLC35C1, SLC35C2, SLC35D1, SLC35E2A, SLC35E2B,


SLC35E4, SLC35F2, SLC35F3, SLC35F6, SLC37A1, SLC37A2, SLC37A3, SLC37A4,


SLC38A1, SLC38A10, SLC38A2, SLC38A5, SLC38A6, SLC38A7, SLC38A9, SLC39A1,


SLC39A13, SLC39A14, SLC39A3, SLC39A7, SLC3A2, SLC41A2, SLC43A1, SLC43A2,


SLC44A1, SLC44A2, SLC44A3, SLC44A4, SLC46A2, SLC47A1, SLC49A3, SLC49A4,


SLC4A1, SLC4A11, SLC4A1AP, SLC4A2, SLC4A4, SLC4A7, SLC51A, SLC52A2,


SLC52A3, SLC5A4, SLC5A6, SLC5A9, SLC66A1, SLC66A2, SLC66A3, SLC6A12,


SLC6A14, SLC6A16, SLC6A20, SLC6A6, SLC6A8, SLC6A9, SLC7A1, SLC7A11,


SLC7A2, SLC7A5, SLC7A6, SLC7A7, SLC7A8, SLC8A1, SLC8A3, SLC8B1, SLC9A3R2,


SLC9A6, SLC9A7, SLC9A8, SLC9B2, SLC9C2, SLCO2A1, SLCO2B1, SLCO3A1,


SLCO4C1, SLF2, SLFN13, SLFN14, SLITRK4, SLITRK6, SLK, SLMAP, SLPI, SLX1A,


SLX1B, SLX4, SLX4IP, SMAD3, SMAD5, SMAD9, SMAP2, SMARCA1, SMARCA2,


SMARCA4, SMARCA5, SMARCAD1, SMARCB1, SMARCC1, SMARCD1, SMARCD2,


SMARCD3, SMC1A, SMC2, SMC6, SMCHD1, SMCR8, SMG1, SMG1P7, SMG5, SMG9,


SMIM11A, SMIM11B, SMIM12, SMIM14, SMIM15, SMIM19, SMIM20, SMIM22,


SMIM24, SMIM25, SMIM26, SMIM29, SMIM3, SMIM30, SMIM31, SMIM4, SMIM5,


SMIM6, SMIM7, SMIM8, SMKR1, SMNDC1, SMOC2, SMOX, SMPD1, SMPD2, SMPD3,


SMPD4, SMPDL3A, SMR3B, SMS, SMTN, SMTNL1, SMYD2, SMYD4, SMYD5, SNAI1,


SNAI2, SNAP23, SNAP47, SNAPC3, SNAPC4, SNAPC5, SNAPIN, SNCA, SNCAIP,


SND1, SNHG1, SNHG16, SNHG3, SNIP1, SNN, SNPH, SNRK, SNRNP200, SNRNP25,


SNRNP27, SNRNP35, SNRNP70, SNRPA, SNRPA1, SNRPB, SNRPB2, SNRPD1, SNRPG,


SNTB1, SNTN, SNU13, SNUPN, SNW1, SNX1, SNX10, SNX11, SNX13, SNX17, SNX18,


SNX19, SNX2, SNX20, SNX22, SNX24, SNX27, SNX30, SNX33, SNX5, SNX6, SNX7,


SNX9, SOAT1, SOBP, SOCS3, SOCS5, SOCS6, SOCS7, SOD1, SON, SORBS2, SORBS3,


SORCS2, SORD, SORL1, SOS1, SOSTDC1, SOWAHC, SOX12, SOX2, SOX21, SOX5,


SOX6, SOX9, SP110, SP2, SPA17, SPACA9, SPAG1, SPAG16, SPAG17, SPAG6, SPAG7,


SPAG8, SPAG9, SPARCL1, SPART, SPAST, SPATA17, SPATA18, SPATA2, SPATA20,


SPATA2L, SPATA5, SPATC1L, SPATS2, SPATS2L, SPCS3, SPDEF, SPDL1, SPDYE2,


SPDYE2B, SPDYE3, SPDYE6, SPECC1L, SPEF1, SPEF2, SPEG, SPEN, SPG21, SPG7,


SPHK1, SPHK2, SPI1, SPIB, SPIC, SPIDR, SPIN1, SPIN2A, SPIN2B, SPIN4, SPINDOC,


SPINK5, SPINK7, SPINT2, SPIRE1, SPN, SPNS1, SPNS2, SPNS3, SPOCK2, SPON2,


SPOP, SPOUT1, SPP1, SPPL2B, SPPL3, SPRED1, SPRED2, SPRR1A, SPRR1B, SPRR2A,


SPRR2B, SPRR2D, SPRR2E, SPRR2F, SPRR2G, SPRR3, SPRY4, SPRYD3, SPRYD7,


SPSB2, SPTA1, SPTB, SPTBN1, SPTBN2, SPTBN5, SPTLC1, SPTLC3, SQLE, SQOR,


SQSTM1, SRA1, SRBD1, SRCAP, SRD5A1, SRD5A2, SRD5A3, SREBF1, SREBF2,


SREK1, SREK1IP1, SRF, SRFBP1, SRGAP2, SRGAP2B, SRGAP2C, SRGAP3, SRI, SRM,


SRP14, SRP72, SRPRA, SRPRB, SRR, SRRM1, SRRM2, SRRM4, SRRT, SRSF1, SRSF10,


SRSF11, SRSF2, SRSF3, SRSF4, SRSF5, SRSF6, SRSF7, SRSF9, SS18L1, SS18L2, SSB,


SSBP1, SSBP3, SSBP4, SSH1, SSNA1, SSPN, SSR2, SSR3, SSR4, SSRP1, SSTR2, SSTR3,


SSX2IP, STB, STM, ST3GAL1, ST3GAL2, ST3GAL6, ST6GAL1, ST6GALNAC1,


ST6GALNAC3, ST6GALNAC4, ST7, STAB1, STAC, STAC3, STAG1, STAG3, STAM,


STAM2, STAP1, STAP2, STARD13, STARD3, STARD3NL, STARD4, STARD5,


STARD7, STARD9, STAT1, STAT3, STAT4, STAT5A, STAT5B, STAT6, STATH,


STAU1, STAU2, STEAP1, STEAP1B, STEAP2, STIL, STIM1, STIMATE, STIMATE-


MUSTN1, STING1, STIP1, STK10, STK11, STK11IP, STK16, STK17A, STK17B, STK24,


STK25, STK26, STK3, STK32C, STK33, STK35, STK38, STK39, STK4, STK40, STMN1,


STMN3, STMND1, STMP1, STN1, STOML1, STON2, STOX1, STOX2, STPG1, STRADA,


STRADB, STRAP, STRBP, STRIP1, STRN3, STRN4, STT3A, STT3B, STUB1, STX10,


STX12, STX16, STX17, STX18, STX19, STX1A, STX2, STX5, STX6, STX7, STX8,


STXBP1, STXBP2, STXBP4, STXBP6, STYX, SUB1, SUCNR1, SUCO, SUDS3, SUFU,


SUGP1, SUGP2, SUGT1, SULF1, SULF2, SULT1A2, SULT1A3, SULT1A4, SULT1B1,


SULT1C2, SULT2B1, SUMF1, SUMF2, SUMO2, SUN1, SUN2, SUOX, SUPT16H,


SUPT5H, SUPV3L1, SURF1, SURF4, SURF6, SUSD3, SUSD6, SUV39H1, SUV39H2,


SV2A, SVEP1, SWAP70, SYBU, SYCP2, SYCP3, SYK, SYMPK, SYN1, SYNDIG1,


SYNE1, SYNE2, SYNE3, SYNGAP1, SYNGR1, SYNGR2, SYNJ1, SYNJ2BP, SYNM,


SYNPO, SYNPO2, SYNRG, SYS1, SYT11, SYT17, SYT6, SYTL1, SYTL2, SYTL3,


SYTL5, SYVN1, SZRD1, SZT2, TAB1, TAB2, TACC2, TACC3, TACSTD2, TADA1,


TADA2A, TADA3, TAF10, TAF13, TAF15, TAF1C, TAF3, TAF6, TAF6L, TAF8, TAF9,


TAF9B, TAGAP, TAGLN2, TAL1, TALDO1, TANC1, TANC2, TANGO2, TANK, TAOK1,


TAOK2, TAPI1, TAP2, TAPBP, TAPT1, TARBP2, TARDBP, TARS1, TAS1R3, TAS2RB,


TAS2R30, TASOR, TATDN2, TAX1BP1, TAX1BP3, TAZ, TBC1D10B, TBC1D10C,


TBC1D14, TBC1D15, TBC1D17, TBC1D22A, TBC1D23, TBC1D24, TBC1D25,


TBC1D2B, TBC1D3, TBC1D3C, TBC1D3D, TBC1D3E, TBC1D3H, TBC1D3I, TBC1D3K,


TBC1D5, TBC1D8B, TBC1D9B, TBCC, TBCD, TBCE, TBCEL, TBKBP1, TBL1X, TBL3,


TBP, TBPL1, TBRG1, TBRG4, TBX1, TBX19, TBX20, TBX21, TBXA2R, TBXAS1,


TCAF1, TCAF2, TCAIM, TCEA1, TCEA2, TCEA3, TCEAL1, TCEAL3, TCEAL4,


TCEAL8, TCEAL9, TCEANC2, TCF12, TCF25, TCF3, TCF7, TCF7L1, TCF7L2, TCHH,


TCHP, TCIRG1, TCL1A, TCTA, TCTE1, TCTEX1D1, TCTN1, TCTN2, TDG, TDP1,


TDP2, TDRD3, TDRD6, TDRD7, TDRD9, TEAD1, TEAD3, TECPR1, TECR, TEDC1,


TEKT1, TEKT2, TEKT4, TELO2, TENM1, TENM4, TENT2, TENT4A, TENT5A,


TENT5C, TEP1, TEPSIN, TERF1, TERF2IP, TES, TESC, TESK1, TESK2, TESMIN,


TESPA1, TET1, TET2, TET3, TEXM, TEX26, TEX261, TEX264, TEX9, TFAP2A,


TFAP2E, TFAP4, TFB2M, TFCP2L1, TFDP2, TFE3, TFEB, TFEC, TFF1, TFF2, TFF3,


TFPI, TFR2, TFRC, TG, TGFB1, TGFB2, TGFB3, TGFBI, TGFBR3, TGFBRAP1, TGM3,


TGOLN2, TGS1, THADA, THAP10, THAP5, THAP6, THAP8, THBS1, THEGL, THEMIS,


THEMIS2, THOC3, THOC5, THOC6, THOP1, THRA, THRAP3, THRB, THSD1, THTPA,


THUMPD3, THYN1, TIAF1, TIAL1, TIAM2, TICAM1, TIFA, TIGD1, TIGD5, TIGD6,


TIGIT, TIMM13, TIMM17B, TIMM21, TIMM22, TIMM23, TIMM23B, TIMM44,


TIMM50, TIMM8A, TIMM8B, TIMM9, TIMMDC1, TINAGL1, TINF2, TIPARP, TIPRL,


TIRAP, TJAP1, TJP1, TKFC, TKT, TKTL1, TLCD2, TLCD3A, TLCD5, TLE1, TLE3,


TLE5, TLK2, TLL1, TLN1, TLN2, TLR10, TLR2, TLR3, TLR4, TLR7, TLR8, TM2D2,


TM2D3, TM4SF1, TM7SF2, TM7SF3, TM9SF2, TM9SF3, TM9SF4, TMBIM1, TMBIM4,


TMBIM6, TMC5, TMC6, TMC8, TMCC1, TMCC2, TMCO1, TMCO3, TMCO5A, TMCO6,


TMED1, TMED3, TMED4, TMED6, TMED8, TMED9, TMEM102, TMEM104,


TMEM106A, TMEM106B, TMEM106C, TMEM109, TMEM11, TMEM115, TMEM120A,


TMEM120B, TMEM121B, TMEM126A, TMEM126B, TMEM127, TMEM129,


TMEM131L, TMEM132D, TMEM138, TMEM139, TMEM143, TMEM14A, TMEM14C,


TMEM150B, TMEM154, TMEM156, TMEM159, TMEM160, TMEM161A, TMEM161B,


TMEM164, TMEM167A, TMEM167B, TMEM168, TMEM170A, TMEM170B, TMEM175,


TMEM176B, TMEM179B, TMEM181, TMEM183A, TMEM184B, TMEM184C,


TMEM185A, TMEM186, TMEM191C, TMEM199, TMEM201, TMEM204, TMEM205,


TMEM208, TMEM209, TMEM212, TMEM214, TMEM216, TMEM217, TMEM222,


TMEM223, TMEM229B, TMEM232, TMEM237, TMEM241, TMEM242, TMEM248,


TMEM250, TMEM251, TMEM254, TMEM255A, TMEM259, TMEM263, TMEM266,


TMEM272, TMEM273, TMEM30B, TMEM33, TMEM38A, TMEM38B, TMEM39B,


TMEM40, TMEM41A, TMEM43, TMEM44, TMEM50A, TMEM50B, TMEM51,


TMEM52B, TMEM53, TMEM54, TMEM59, TMEM60, TMEM63A, TMEM63B, TMEM67,


TMEM68, TMEM69, TMEM71, TMEM79, TMEM80, TMEM86A, TMEM86B, TMEM87A,


TMEM87B, TMEM88, TMEM8B, TMEM94, TMEM97, TMIGD2, TMOD1, TMOD3,


TMPO, TMPPE, TMPRSS11A, TMPRSS11B, TMPRSS11D, TMPRSS11E, TMPRSS2,


TMPRSS4, TMPRSS9, TMSB10, TMSB4X, TMTC2, TMTC3, TMTC4, TMUB1, TMUB2,


TMX2, TMX4, TNC, TNFAIP1, TNFAIP2, TNFAIP3, TNFAIP6, TNFAIP8, TNFAIP8L1,


TNFAIP8L2, TNFRSF10A, TNFRSF10B, TNFRSF10C, TNFRSF10D, TNFRSF11A,


TNFRSF12A, TNFRSF13B, TNFRSF13C, TNFRSF14, TNFRSF17, TNFRSF19,


TNFRSF1B, TNFRSF21, TNFRSF25, TNFRSF4, TNFRSF8, TNFSF10, TNFSF11,


TNFSF12, TNFSF13, TNFSF13B, TNFSF15, TNFSF4, TNFSF8, TNFSF9, TNIP1, TNIP2,


TNIP3, TNK2, TNNI2, TNPO1, TNRC18, TNRC6B, TNS3, TNS4, TNXB, TOB1, TOB2,


TOGARAM2, TOLLIP, TOM1, TOM1L1, TOM1L2, TOMM20, TOMM34, TOMM40L,


TOMM5, TOMM7, TONSL, TOP1MT, TOP3A, TOPORS, TOR1B, TOR2A, TOR3A,


TOR4A, TOX2, TOX3, TP53BP1, TP53I13, TP53I3, TP53INP1, TP53RK, TP63, TPCN1,


TPCN2, TPD52, TPD52L1, TPD52L2, TPGS1, TPI1, TPM2, TPM4, TPP2, TPPP3, TPR,


TPRG1, TPRN, TPSB2, TPST2, TPT1, TRA2A, TRA2B, TRABD, TRABD2A, TRADD,


TRAF1, TRAF2, TRAF3IP1, TRAF3IP3, TRAF4, TRAF6, TRAF7, TRAM2, TRANK1,


TRAP1, TRAPPC1, TRAPPC10, TRAPPC13, TRAPPC2B, TRAPPC4, TRAPPC5,


TRAPPC6B, TRAPPC9, TRAT1, TREM2, TREML1, TREML2, TRERF1, TRGC1, TRHDE,


TRIAPI, TRIB1, TRIB2, TRIB3, TRIM10, TRIM11, TRIM13, TRIM14, TRIM16, TRIM2,


TRIM21, TRIM23, TRIM24, TRIM28, TRIM29, TRIM32, TRIM33, TRIM35, TRIM36,


TRIM39, TRIM41, TRIM44, TRIM46, TRIM47, TRIM5, TRIM52, TRIM56, TRIM58,


TRIM6, TRIM62, TRIM65, TRIM66, TRIM68, TRIM69, TRIM71, TRIM8, TRIO, TRIOBP,


TRIP10, TRIP11, TRIP13, TRIP6, TRIQK, TRIR, TRMT1, TRMT10C, TRMT11, TRMT1L,


TRMT2A, TRMT2B, TRMT5, TRMT6, TRMT61A, TRMT61B, TRMU, TRNAU1AP,


TROAP, TRPC4AP, TRPC6, TRPM2, TRPM3, TRPV2, TRPV4, TRUB2, TSACC, TSC1,


TSC2, TSC22D2, TSC22D3, TSC22D4, TSEN2, TSEN34, TSEN54, TSFM, TSG101,


TSGA10, TSHZ2, TSNARE1, TSNAX, TSPAN1, TSPAN11, TSPAN12, TSPAN14,


TSPAN15, TSPAN17, TSPAN18, TSPAN19, TSPAN2, TSPAN3, TSPAN31, TSPAN32,


TSPAN33, TSPAN5, TSPAN6, TSPAN8, TSPAN9, TSPO, TSPO2, TSPYL2, TSSC4,


TSSK4, TST, TSTA3, TSTD1, TSTD2, TTBK2, TTC1, TTC13, TTC14, TTC16, TTC17,


TTC21A, TTC22, TTC23, TTC24, TTC25, TTC26, TTC27, TTC29, TTC3, TTC30A,


TTC30B, TTC31, TTC32, TTC34, TTC37, TTC38, TTC39A, TTC5, TTC6, TTC7A, TTC7B,


TTC8, TTC9, TTF1, TTI1, TTL, TTLL1, TTLL11, TTLL12, TTLL3, TTLL5, TTLL6,


TTLL7, TTN, TTYH1, TTYH2, TTYH3, TUBA1C, TUBA4A, TUBA4B, TUBB, TUBB1,


TUBB2A, TUBB4B, TUBB6, TUBE1, TUBG1, TUBGCP2, TUBGCP3, TUBGCP6, TUFM,


TULP3, TULP4, TUSC1, TUSC2, TUSC3, TUSC7, TUT7, TWF2, TWISTNB, TWNK,


TWSG1, TXK, TXLNB, TXLNG, TXN, TXN2, TXNDC11, TXNDC12, TXNDC15,


TXNDC17, TXNDC5, TXNDC9, TXNRD1, TXNRD2, TXNRD3, TYK2, TYMP, TYROBP,


TYW1, TYWIB, TYW3, U2AF1, U2AF1L4, U2AF1L5, U2AF2, UACA, UAP1, UAP1L1,


UBA1, UBA2, UBA6, UBA7, UBAC2, UBALD1, UBALD2, UBAP1L, UBAP2, UBAP2L,


UBASH3A, UBASH3B, UBB, UBC, UBE2C, UBE2D3, UBE2D4, UBE2E1, UBE2F,


UBE2G1, UBE2G2, UBE2H, UBE2J2, UBE2L3, UBE2M, UBE2N, UBE2O, UBE2Q1,


UBE2Q2, UBE2S, UBE2V1, UBE2V2, UBE2W, UBE2Z, UBE3A, UBE3C, UBE3D,


UBE4A, UBFD1, UBIAD1, UBL3, UBL5, UBL7, UBN1, UBP1, UBQLNL, UBR1, UBR3,


UBR4, UBR5, UBR7, UBTD1, UBTD2, UBTF, UBXN1, UBXN10, UBXN11, UBXN2B,


UBXN6, UBXN7, UBXN8, UCHL1, UCK1, UCKL1, UCP1, UCP2, UEVLD, UFD1,


UGDH, UGGT1, UGGT2, UGP2, UGT2A1, UGT2B28, UGT3A2, UHRF1, UHRF1BP1,


UHRF1BP1L, UHRF2, ULBP2, ULK1, ULK4, UMAD1, UNC119, UNC119B, UNC13B,


UNC13D, UNC45A, UNC50, UNC5CL, UNC93B1, UNK, UNKL, UPB1, UPF1, UPF3A,


UPK1B, UPK3B, UPK3BL2, UPP1, UQCC2, UQCR10, UQCR11, UQCRB, UQCRC1,


UQCRH, UQCRQ, URB2, URM1, UROD, USF1, USF2, USF3, USO1, USP1, USP11,


USP14, USP15, USP19, USP20, USP21, USP22, USP25, USP31, USP32, USP35, USP38,


USP39, USP46, USP47, USP48, USP5, USP51, USP53, USP54, USP6NL, USP7, USP9X,


UST, UTP14A, UTP15, UTP18, UTP20, UTP25, UTP3, UTP4, UTP6, UTRN, UVSSA,


VAC14, VAMP1, VAMP2, VAMP3, VAMP4, VAMP8, VANGL2, VARS1, VARS2, VASP,


VAT1, VAV1, VAV2, VCAN, VCL, VCP, VCPIP1, VCPKMT, VDAC1, VDAC2, VEGFA,


VEGFB, VENTX, VEPH1, VEZF1, VEZT, VGLL1, VGLL3, VHL, VIL1, VILL, VIPR1,


VKORC1, VKORC1L1, VLDLR, VMAC, VMO1, VMP1, VNN1, VNN2, VNN3, VPREB3,


VPS13A, VPS13D, VPS16, VPS18, VPS26A, VPS26B, VPS28, VPS29, VPS33B, VPS35,


VPS37A, VPS37B, VPS39, VPS41, VPS4A, VPS4B, VPS50, VPS51, VPS52, VPS72,


VPS9D1, VRK1, VRK2, VRK3, VSIG1, VSIG10, VSIG10L, VSIG2, VSIR, VSNL1,


VSTM1, VSTM2L, VTA1, VTCN1, VTI1A, VWA3A, VWA3B, VWA5A, VWA8, VWF,


WAC, WAPL, WAS, WASF1, WASF2, WASHC1, WASHC4, WASHC5, WASL, WBP1,


WBP11, WBP2, WBP4, WDCP, WDFY1, WDFY2, WDFY4, WDHD1, WDR1, WDR11,


WDR13, WDR18, WDR19, WDR20, WDR24, WDR33, WDR34, WDR36, WDR37,


WDR38, WDR4, WDR43, WDR44, WDR45, WDR45B, WDR46, WDR49, WDR5, WDR55,


WDR59, WDR6, WDR60, WDR61, WDR62, WDR63, WDR66, WDR7, WDR70, WDR73,


WDR74, WDR76, WDR78, WDR81, WDR82, WDR83, WDR830S, WDR86, WDR89,


WDR90, WDR91, WDR92, WDR93, WDR97, WDTC1, WDYHV1, WFDC1, WFDC2,


WFDC3, WHAMM, WHRN, WIPF2, WIPI1 WIPI2, WIZ, WNK2, WNK3, WNT10B,


WNT11, WNT2B, WNT4, WNT5A, WRAP53, WRAP73, WRN, WRNIP1, WSB2, WWC1,


WWC2, WWC3, WWP2, WWTR1, XAB2, XAF1, XG, XIAP, XK, XKR6, XKR8, XPA,


XPC, XPNPEP1, XPNPEP3, XPO1, XPO4, XPO6, XPO7, XPOT, XRCC3, XRCC4, XRN1,


XRN2, XRRA1, XXYLT1, XYLT1, XYLT2, YAE1, YAP1, YARS1, YARS2, YBX3,


YEATS4, YES1, YIF1A, YIF1B, YIPF2, YIPF3, YIPF4, YIPF5, YIPF6, YJU2, YKT6,


YLPM1, YME1L1, YOD1, YPEL1, YPEL2, YPEL3, YPEL4, YPEL5, YRDC, YTHDC1,


YTHDF1, YTHDF2, YTHDF3, YWHAB, YWHAE, YWHAG, YWHAQ, YY1, ZADH2,


ZAP70, ZBBX, ZBED3, ZBED4, ZBED5, ZBED6CL, ZBED8, ZBP1, ZBTB1, ZBTB10,


ZBTB11, ZBTB16, ZBTB17, ZBTB18, ZBTB2, ZBTB21, ZBTB22, ZBTB24, ZBTB25,


ZBTB32, ZBTB34, ZBTB37, ZBTB38, ZBTB39, ZBTB40, ZBTB41, ZBTB43, ZBTB46,


ZBTB47, ZBTB48, ZBTB5, ZBTB6, ZBTB7B, ZBTB7C, ZBTB8OS, ZC3H11B, ZC3H12A,


ZC3H13, ZC3H14, ZC3H15, ZC3H3, ZC3H4, ZC3H6, ZC3H7B, ZC3HAV1L, ZCCHC10,


ZCCHC17, ZCCHC3, ZCCHC7, ZCCHC9, ZCRB1, ZDHHC11, ZDHHC12, ZDHHC16,


ZDHHC17, ZDHHC18, ZDHHC20, ZDHHC21, ZDHHC24, ZDHHC5, ZDHHC6, ZDHHC7,


ZDHHC8, ZEB2, ZER1, ZFAND1, ZFAND2A, ZFAND2B, ZFAND3, ZFAND5, ZFHX2,


ZFHX3, ZFP1, ZFP14, ZFP3, ZFP36, ZFP36L2, ZFP41, ZFP69B, ZFP91, ZFPL1, ZFPM1,


ZFR, ZFX, ZFYVE1, ZFYVE16, ZFYVE19, ZFYVE21, ZFYVE26, ZFYVE27, ZFYVE28,


ZFYVE9, ZG16B, ZGPAT, ZGRF1, ZHX1, ZKSCAN2, ZKSCAN5, ZKSCAN8, ZMAT1,


ZMAT5, ZMIZ1, ZMIZ2, ZMYM3, ZMYM4, ZMYM6, ZMYND10, ZMYND11,


ZMYND12, ZMYND19, ZMYND8, ZNF101, ZNF107, ZNF12, ZNF121, ZNF124, ZNF134,


ZNF135, ZNF138, ZNF14, ZNF141, ZNF142, ZNF148, ZNF16, ZNF160, ZNF169, ZNF175,


ZNF181, ZNF184, ZNF189, ZNF19, ZNF200, ZNF202, ZNF211, ZNF212, ZNF213,


ZNF214, ZNF217, ZNF219, ZNF22, ZNF222, ZNF224, ZNF226, ZNF230, ZNF232,


ZNF234, ZNF235, ZNF251, ZNF253, ZNF26, ZNF260, ZNF268, ZNF273, ZNF276,


ZNF277, ZNF28, ZNF280B, ZNF280D, ZNF281, ZNF282, ZNF283, ZNF285, ZNF287,


ZNF296, ZNF3, ZNF300, ZNF302, ZNF316, ZNF317, ZNF318, ZNF319, ZNF324,


ZNF324B, ZNF330, ZNF331, ZNF333, ZNF335, ZNF337, ZNF33B, ZNF34, ZNF341,


ZNF343, ZNF346, ZNF347, ZNF35, ZNF350, ZNF354B, ZNF354C, ZNF358, ZNF362,


ZNF365, ZNF367, ZNF37A, ZNF382, ZNF385A, ZNF394, ZNF395, ZNF407, ZNF408,


ZNF41, ZNF414, ZNF418, ZNF419, ZNF420, ZNF426, ZNF428, ZNF429, ZNF43, ZNF430,


ZNF431, ZNF436, ZNF438, ZNF439, ZNF440, ZNF441, ZNF442, ZNF444, ZNF445,


ZNF449, ZNF451, ZNF454, ZNF462, ZNF467, ZNF468, ZNF469, ZNF470, ZNF471,


ZNF473, ZNF474, ZNF48, ZNF480, ZNF484, ZNF486, ZNF493, ZNF500, ZNF501,


ZNF510, ZNF512, ZNF512B, ZNF513, ZNF514, ZNF516, ZNF518A, ZNF518B, ZNF524,


ZNF525, ZNF527, ZNF528, ZNF532, ZNF540, ZNF547, ZNF548, ZNF552, ZNF554,


ZNF555, ZNF557, ZNF561, ZNF562, ZNF564, ZNF566, ZNF569, ZNF570, ZNF572,


ZNF576, ZNF579, ZNF580, ZNF585B, ZNF586, ZNF587B, ZNF592, ZNF595, ZNF597,


ZNF598, ZNF599, ZNF605, ZNF606, ZNF607, ZNF610, ZNF611, ZNF613, ZNF614,


ZNF616, ZNF619, ZNF621, ZNF622, ZNF624, ZNF626, ZNF628, ZNF638, ZNF641,


ZNF644, ZNF646, ZNF649, ZNF654, ZNF658, ZNF66, ZNF665, ZNF668, ZNF675,


ZNF678, ZNF680, ZNF687, ZNF69, ZNF691, ZNF692, ZNF697, ZNF699, ZNF7, ZNF701,


ZNF704, ZNF706, ZNF707, ZNF708, ZNF71, ZNF710, ZNF713, ZNF721, ZNF727,


ZNF737, ZNF738, ZNF740, ZNF746, ZNF749, ZNF750, ZNF75D, ZNF76, ZNF761,


ZNF764, ZNF765, ZNF766, ZNF768, ZNF770, ZNF771, ZNF774, ZNF780B, ZNF782,


ZNF784, ZNF785, ZNF787, ZNF789, ZNF79, ZNF790, ZNF791, ZNF799, ZNF808, ZNF81,


ZNF813, ZNF816, ZNF821, ZNF823, ZNF829, ZNF83, ZNF831, ZNF835, ZNF836,


ZNF839, ZNF84, ZNF844, ZNF845, ZNF85, ZNF850, ZNF852, ZNF860, ZNF862, ZNF865,


ZNF880, ZNF888, ZNF891, ZNF90, ZNF91, ZNF92, ZNF93, ZNHIT3, ZNHIT6, ZP3,


ZPR1, ZRANB1, ZSCAN12, ZSCAN2, ZSCAN25, ZSCAN31, ZSCAN9, ZSWIMI,


ZSWIM4, ZSWIM7, ZSWIM8, ZSWIM9, ZW10, ZWILCH, ZWINT, ZXDB, ZXDC, ZYX,


ZZEF1
















TABLE 7A





(Gene lists defining myeloid populations increased in 3 compartments


derived from co-expression analyses)







CoV-2 PBMC Myeloid A1


ADAMDEC1, ADGRE2, AIF1, AOAH, APOBEC3B, APOBR, APOC1, BST1, C1QA,


C1QB, C1QC, C1RL, C2, C4A, C4B, C4BPA, C5, C6, CCL18, CCL2, CCL7, CCL8, CD101,


CD14, CD163, CD209, CD300C, CD300E, CD300LF, CD33, CD68, CD80, CFD, CFP,


CLEC10A, CLEC12A, CLEC12B, CLEC16A, CLEC4A, CLEC4D, CLEC4E, CLEC5A,


CLEC6A, CLEC7A, CSF1R, CSF2RA, CSF2RB, CSF3R, CST3, CXCL10, CXCL11,


CXCL2, CXCL9, CYBA, CYBB, FCER1G, FCGR1A, FCGR1B, FCGR2A, FCGR2B,


FCGR2C, FGR, FLT3, FOLR2, FUT4, GRN, HVCN1, IFI30, IGSF6, IL10RA, IL18, IL1A,


IL1RAP, IL1RN, ITGAX, LGALS12, LGALS9, LILRA1, LILRA2, LILRA5, LILRA6,


LILRB1, LILRB2, LILRB3, LILRB4, LILRB5, LMNB1, LY86, LYVE1, LYZ, MARCO,


MEFV, MERTK, MFGE8, MNDA, MPEG1, MRC1, MS4A4A, MS4A6A, MSR1, NLRP12,


NLRP3, NOD2, NTSR1, OSCAR, OTOF, PECAM1, PILRA, PLEK, PRAM1, RNASE3,


RNASE6, RNASE7, S100A8, S100A9, SCARB1, SECTM1, SEMA4A, SERPINB9,


SERPING1, SIGLEC1, SIGLEC10, SIGLEC5, SIGLEC7, SKAP2, SLC11A1, SLITRK4,


SPI1, TGM2, THBD, TLR2, TLR8, TNF, TNFAIP8L2, TNFRSF1B, TNFSF13B, TREM1,


TREML4, TYROBP, UNC93B1, VENTX, VSIG4, VSTM1


CoV-2 Lung Myeloid A2


ADAMDEC1, ADGRE1, ADGRE2, AIF1, APOBEC3B, APOBEC3G, APOBR, APOC1,


BST1, C1QA, C1QB, C1QC, C2, C4BPA, C4BPB, C6, C8A, CCL18, CCL2, CCL22, CCL7,


CCL8, CD14, CD300E, CD33, CD80, CFD, CFP, CHI3L1, CHIT1, CLEC12A, CLEC12B,


CLEC1A, CLEC2B, CLEC4A, CLEC4D, CLEC4E, CLEC7A, CSF2, CSF2RB, CSF3R,


CST3, CXCL1, CXCL10, CXCL11, CXCL13, CXCL8, CXCR2, CYBA, CYBB, FCER1G,


FCGR1A, FCGR2A, FCGR2B, FCGR2C, FCGR3A, FCGR3B, FFAR2, FGR, FOLR2, GRN,


IFNL1, IGSF6, IL12B, IL18, IL18RAP, IL1A, IL1B, IL1RAP, IL1RN, IL20, IL23A, IL27,


ITGAX, LAMP3, LGALS9, LGALS9C, LILRA5, LILRA6, LILRB1, LILRB2, LILRB3,


LILRB4, LILRB5, LMNB1, LY86, LYZ, MNDA, MPEG1, MS4A4A, MS4A6A, MSR1,


NLRP3, OLR1, OTOF, PDCD1LG2, PILRA, PLEK, S100A8, S100A9, S1PR5, SECTM1,


SEMA4A, SERPINB9, SERPING1, SIGLEC14, SIGLEC5, SLPI, SPI1, TLR2, TNF,


TNFSF13B, TNFSF14, TNIP3, TREM1, TREML4, TYROBP, UNC93B1, VSIG4


CoV-2 BAL Myeloid A3


ACE, ADAMDEC1, ADGRE3, AIF1, APOBEC3G, APOC1, C1QA, C1QB, C1QC, C1R,


C2, C4BPA, C5, C6, CCL18, CCL2, CCL28, CCL7, CCL8, CD163, CD300LF, CD5L,


CD68, CD80, CHI3L1, CLEC2B, CLEC4E, CLEC5A, CLEC6A, CXCL1, CXCL10,


CXCL11, CXCL2, CXCL8, CXCL9, CXCR2, FCER1G, FCGR1A, FCGR1B, FCGR2A,


FCGR2C, FCGR3A, FCGR3B, FOLR2, IGSF6, IK, IL18, IL1A, IL1B, IL1RN, IL23A,


LAMP3, LGALS9B, LGALS9C, LILRB4, LILRB5, LY86, LYVE1, MARCO, MERTK,


MNDA, MRC1, MS4A4A, MSR1, OLR1, OTOF, PDCD1LG2, PILRA, RNASE7, SCARB1,


SERPING1, SIGLEC1, SIGLEC14, SIGLEC5, SIGLEC7, SKAP2, SLAMF8, SLPI, STAP2,


TGM2, TLR8, TNF, TNFAIP8L2, TNFSF13B, TNIP3, TYROBP, VSIG4
















TABLE 7B





(Overlapping genes in co-expression derived myeloid subpopulations


between 3 compartments)







PBMC/Lung/BAL


ADAMDEC1, AIF1, APOC1, C1QA, C1QB, C1QC, C2, C4BPA, C6, CCL18, CCL2, CCL7,


CCL8, CD80, CLEC4E, CXCL10, CXCL11, FCER1G, FCGR1A, FCGR2A, FCGR2C,


FOLR2, IGSF6, IL18, IL1A, IL1RN, LILRB4, LILRB5, LY86, MNDA, MS4A4A, MSR1,


OTOF, PILRA, SERPING1, SIGLEC5, TNF, TNFSF13B, TYROBP, VSIG4


PBMC/Lung


ADGRE2, APOBEC3B, APOBR, BST1, CD14, CD300E, CD33, CFD, CFP, CLEC12A,


CLEC12B, CLEC4A, CLEC4D, CLEC7A, CSF2RB, CSF3R, CST3, CYBA, CYBB,


FCGR2B, FGR, GRN, IL1RAP, ITGAX, LGALS9, LILRA5, LILRA6, LILRB1, LILRB2,


LILRB3, LMNB1, LYZ, MPEG1, MS4A6A, NLRP3, PLEK, S100A8, S100A9, SECTM1,


SEMA4A, SERPINB9, SPI1, TLR2, TREM1, TREML4, UNC93B1


PBMC/BAL


C5, CD163, CD300LF, CD68, CLEC5A, CLEC6A, CXCL2, CXCL9, FCGR1B, LYVE1,


MARCO, MERTK, MRC1, RNASE7, SCARB1, SIGLEC1, SIGLEC7, SKAP2, TGM2,


TLR8, TNFAIP8L2


Lung/BAL


APOBEC3G, CHI3L1, CLEC2B, CXCL1, CXCL8, CXCR2, FCGR3A, FCGR3B, IL1B,


IL23A, LAMP3, LGALS9C, OLR1, PDCD1LG2, SIGLEC14, SLPI, TNIP3


PBMC


AOAH, C1RL, C4A, C4B, CD101, CD209, CD300C, CLEC10A, CLEC16A, CSF1R,


CSF2RA, FLT3, FUT4, HVCN1, IFI30, IL10RA, LGALS12, LILRA1, LILRA2, MEFV,


MFGE8, NLRP12, NOD2, NTSR1, OSCAR, PECAM1, PRAM1, RNASE3, RNASE6,


SIGLEC10, SLC11A1, SLITRK4, THBD, TNFRSF1B, VENTX, VSTM1


Lung


ADGRE1, C4BPB, C8A, CCL22, CHIT1, CLEC1A, CSF2, CXCL13, FFAR2, IFNL1,


IL12B, IL18RAP, IL20, IL27, S1PR5, TNFSF14


BAL


ACE, ADGRE3, C1R, CCL28, CD5L, IK, LGALS9B, SLAMF8, STAP2
















TABLE 7C





(Input genes to trajectory analysis)







AASS, ABCD1, ABCD2, ABCD3, ACAA2, ACACB, ACADM, ACADS, ACADVL,


ACAT1, ACAT2, ACE, ACO2, ACOX1, ACOX2, ACOX3, ACOXL, ACSL1, ACSL5,


ADAM8, ADAMDEC1, ADGRE1, ADGRE2, ADGRE3, ADK, AIF1, AIM2, AK3, AKT2,


ALDH4A1, ALDH7A1, ALOX15, AOAH, APOBEC3B, APOBEC3G, APOBR, APOC1,


APOL1, APOL2, APOL3, APOL6, ARG1, ART4, ATF3, ATP5A1, ATP5B, ATP5D,


ATP5E, ATP5F1, ATP5G1, ATP5G2, ATP5G3, ATP5H, ATP5I, ATP5J, ATP5J2, ATP5L,


ATP5O, ATP5S, AUH, BATF2, BATF3, BCL2A1, BCS1L, BDH2, BIRC3, BMX, BST1,


BTK, C16orf54, C1QA, C1QB, C1QC, C1R, C1RL, C2, C4A, C4B, C4BPA, C4BPB, C5,


C6, C8A, CA2, CASP1, CASP10, CCL13, CCL15, CCL18, CCL19, CCL2, CCL20, CCL22,


CCL23, CCL28, CCL5, CCL7, CCL8, CCND2, CCR7, CD101, CD14, CD163, CD180,


CD209, CD274, CD300A, CD300C, CD300E, CD300LF, CD33, CD36, CD38, CD4, CD40,


CD52, CD5L, CD68, CD72, CD80, CD86, CDKN1A, CEACAM1, CEP89, CERK, CFB,


CFD, CFP, CHI3L1, CHI3L2, CHIT1, CLEC10A, CLEC12A, CLEC12B, CLEC16A,


CLEC1A, CLEC2B, CLEC4A, CLEC4D, CLEC4E, CLEC4F, CLEC5A, CLEC6A,


CLEC7A, CNR2, COA1, COA3, COA4, COA5, COA6, COA7, COX10, COX10-AS1,


COX11, COX14, COX15, COX16, COX17, COX18, COX19, COX20, COX4I1, COX4I2,


COX5A, COX5B, COX6A1, COX6B1, COX6C, COX7A1, COX7A2, COX7A2L, COX7B,


COX7C, COX8A, CPT1A, CPT2, CROT, CS, CSAG3, CSF1R, CSF2, CSF2RA, CSF2RB,


CSF3R, CST3, CTSC, CXCL1, CXCL10, CXCL11, CXCL13, CXCL2, CXCL8, CXCL9,


CXCR2, CXCR4, CYBA, CYBB, CYC1, CYCS, DECR1, DEF6, DLAT, DLC1, DLD,


DLST, DNAJC15, DOCK8, EBI3, ECHDC1, ECHDC2, ECHS1, ECI1, ECI2, EDN1, EGR2,


EHHADH, EPB41, ETFA, ETFB, ETFDH, F8, FAS, FCAR, FCER1A, FCER1G, FCER2,


FCGR1A, FCGR1B, FCGR2A, FCGR2B, FCGR2C, FCGR3A, FCGR3B, FDCSP, FFAR2,


FGL2, FGR, FH, FLT3, FN1, FOLR2, FUT4, FYB1, G6PD, GAD1, GADD45B, GADD45G,


GBP1, GBP2, GCDH, GCH1, GCNT1, GIMAP2, GIMAP4, GIMAP5, GLS, GLUD1, GOT1,


GPR18, GPR84, GRHPR, GRN, H6PD, HAAO, HACL1, HADH, HADHA, HADHB,


HAVCR2, HBG2, HCK, HESX1, HEXB, HHLA2, HIBCH, HLX, HNMT, HRH1, HS3ST1,


HS3ST2, HSD11B1, HSD17B4, HVCN1, IDH1, IDH2, IDH3A, IDH3B, IDH3G, IDO1,


IER3, IFI27, IFI30, IFI44, IFNL1, IGF1, IGFBP4, IGSF6, IK, IL10RA, IL12A, IL12B, IL15,


IL15RA, IL18, IL18R1, IL18RAP, IL1A, IL1B, IL1RAP, IL1RN, IL20, IL23A, IL27,


IL2RA, IL2RG, IL31RA, IL4I1, IL6, IL7R, INHBA, IRF1, IRF7, IRS1, IRS2, ITGAM,


ITGAX, IVD, JAK2, LAIR1, LAMP3, LAP3, LAT, LCP2, LDHAL6B, LGALS12, LGALS9,


LGALS9B, LGALS9C, LILRA1, LILRA2, LILRA5, LILRA6, LILRB1, LILRB2, LILRB3,


LILRB4, LILRB5, LIPA, LMNB1, LPAR6, LTA4H, LY75, LY86, LYVE1, LYZ, MAF,


MARCO, MCCC2, MDH2, MEFV, MERTK, MFGE8, MNDA, MPC1, MPC2, MPEG1,


MRC1, MRPS15, MS4A4A, MS4A6A, MSR1, MT-ATP6, MT-ATP8, MT-CO1, MT-CO2,


MT-CO3, MT-CYB, MT-ND1, MT-ND2, MT-ND3, MT-ND4, MT-ND4L, MT-ND5, MT-


ND6, NAMPT, NDUFA1, NDUFA10, NDUFA11, NDUFA12, NDUFA13, NDUFA2,


NDUFA3, NDUFA4, NDUFA4L2, NDUFA5, NDUFA6, NDUFA8, NDUFA9, NDUFAB1,


NDUFAF1, NDUFAF2, NDUFAF3, NDUFAF4, NDUFAF5, NDUFAF6, NDUFAF7,


NDUFAF8, NDUFB1, NDUFB10, NDUFB11, NDUFB2, NDUFB3, NDUFB4, NDUFB5,


NDUFB6, NDUFB7, NDUFB8, NDUFB9, NDUFC1, NDUFC2, NDUFS1, NDUFS2,


NDUFS3, NDUFS4, NDUFS5, NDUFS6, NDUFS7, NDUFS8, NDUFV1, NDUFV2,


NDUFV3, NKTR, NLRP12, NLRP3, NOD2, NR3C1, NTSR1, NUBPL, OAS1, OAS2,


OAS3, OASL, OAT, OGDH, OLR1, OSCAR, OTOF, OXA1L, OXCT1, P2RY13, P2RY14,


PC, PDCD1LG2, PDGFA, PDHA1, PDHB, PDHX, PDK1, PDK2, PDK3, PDK4, PDP1,


PDP2, PDPR, PECAM1, PEX13, PEX2, PEX5, PEX7, PFKFB2, PFKFB3, PFKFB4, PFKP,


PGD, PHYH, PIK3AP1, PILRA, PKM, PLA1A, PLA2G5, PLEK, POU2F2, PRAM1, PRPS1,


PRPS2, PSAT1, PSMA2, PSMB9, PSME2, PSTPIP1, PTCH1, PTPN7, PTX3, PYHIN1,


RBKS, RGN, RGS1, RNASE3, RNASE6, RNASE7, RPE, RPIA, S100A8, S100A9, S1PR5,


SAMSN1, SCARB1, SCO1, SDHA, SDHAF1, SDHAF2, SDHAF3, SDHAF4, SDHB,


SDHC, SDHD, SDS, SECTM1, SELENOP, SEMA4A, SERPINB9, SERPING1, SESN2,


SIGLEC1, SIGLEC10, SIGLEC14, SIGLEC5, SIGLEC7, SKAP2, SLAMF7, SLAMF8,


SLC11A1, SLC25A17, SLC25A4, SLC27A2, SLC2A1, SLC2A3, SLC2A4, SLC2A5,


SLC2A6, SLC31A2, SLC38A6, SLC4A7, SLC7A5, SLCO2B1, SLCO5A1, SLITRK4, SLPI,


SOCS1, SP100, SPHK1, SPI1, SRGN, STAP2, STAT1, STAT2, STX11, SUCLA2,


SUCLG1, SUCLG2, SURF1, TACO1, TALDO1, TAP1, TAP2, TEK, TGFBI, TGFBR2,


TGM2, THBD, THEMIS2, TIMMDC1, TKT, TKTL1, TLR1, TLR2, TLR5, TLR8,


TMEM126B, TMEM154, TNF, TNFAIP8L2, TNFRSF11A, TNFRSF1B, TNFSF10,


TNFSF13B, TNFSF14, TNFSF4, TNFSF8, TNFSF9, TNIP3, TPST2, TRAP1, TREM1,


TREML2, TREML4, TTC19, TYROBP, UBE2L6, ULBP1, ULBP2, UNC93B1, UQCC1,


UQCC2, UQCC3, UQCR10, UQCR11, UQCRB, UQCRC1, UQCRC2, UQCRFS1, UQCRH,


UQCRHL, UQCRQ, VCAM1, VCAN, VENTX, VSIG4, VSTM1, WARS, XAF1
















TABLE 8A





(Drugs and compounds targeting IPA upstream regulators via blood,


lung, or airway)







PBMC-CoV2 vs. PBMC-CTL (Blood)


IFNG: Amg 811‡


CSF1: Sunitinib†


Anti-IL6: Imiquimod†, PF-04236921‡, Siltuximab†, Sirukumab‡, Sarilumab†, Tocilizumab†,


Vobarilizumab‡


Anti-IFNA: AGS-009‡, Rontalizumab‡, Sifalimumab‡, Anifrolumab‡


CD38: Daratumumab†, TAK-079‡


TNKS: XAV-939P


TGFB1: SB-431542P, SB-525334P,


EGFR inhibitors: Brigatinib†, Dacomitinib†, Erlotinib†, Gefitinib†, Lapatinib†, Osimertinib†,


Vandetanib†, CGP-52411P, Afatinib†, AG-490P, AG-494P, BIBU-1361P BIBX-1382‡,


ButeinP, CP-724714‡, Erbstatin-analogP, Lavendustin-a, Lavendustin-c, RG-13022,


Tyrphostin, TYRPHOSTIN-1, TYRPHOSTIN-AG-1478P, TYRPHOSTIN-AG-18P,


TYRPHOSTIN-AG-494P, TYRPHOSTIN-AG-555, TYRPHOSTIN-AG-82, TYRPHOSTIN-


AG-835P, WZ-3146P, WZ-4002P, Neratinib†, AEE788‡, ARRY-334543‡, AST-1306‡, AV-


412‡, AZD8931‡, BMS-599626‡, BMS-690514‡, Canertinib‡, CUDC-101‡, FERb-033P,


GW-583340P, Mubritinib‡, PD-168393P, Poziotinib‡, TAK-285‡, Tucatinib‡, Tyrphostin-AG-


825P, Tyrphostin-AG-879P, XL647‡


ERBB2: EGFR inhibitors


INSR inhibitors: Ceritinib†, Dovitinib‡, GSK1838705AP, GSK1904529AP, Linsitinib‡, NVP-


AEW541P, NVP-TAE684P


BRD4: LY-303511P, AT-7519‡, Alvocidib‡, Roscovitine‡


VEGFR inhibitors: Lenvatinib†, Pazopanib†, Sorafenib†, Sunitinib†, ZM-306416P


AKT inhibitors: 10-DEBCP, A-443644, BML-257, Deguelin, Lonidamine†, Miltefosine†,


MK-2206‡


PPARG: Acetyl-farnesyl-cysteine†, T-0070907P


PPARA: 2-fluoropalmitic-acid, GW-6471P


HIF1A: CAY-10585, YC-1P, 1-Benzylimidazole


STAT1: Sinensetin


IGF1R inhibitors: BMS-536924P, BMS-754807‡, Ceritinib†, GSK-1904529AP, Linsitinib‡,


PQ-401P


BAX: BAX-Channel-Blocker


Drugs Predicted As Upstream Regulators (Inhibited): GnRH analog, Levodopa†, MEL S3,


Calcitriol†, CD 437, Ciprofloxacin†, ST1926, 5-fluorouracil†, Sirolimus†,


Medroxyprogesterone acetate†, Valproic acid†, BMS-690514‡, Panobinostat†, BMS-754807‡


Lung-CoV2 vs. Lung-CTL (Lung)


NFxB pathway inhibitors: CAY-10470P, Quinacrine†, Quinoclamine, Auranofin†, BAY-11-


7082P, BAY-11-7085P, Betulinic-acid‡, Bicyclol†, Bindarit‡, Bortezomib†, Cepharanthine‡,


CKD-712‡, Closantel†, Curcumin†, Edasalonexent†, Erythromycin†, EVP4593P, E3330P,


Ginsenoside-C-K‡, Hexamethylenebisacetamide‡, Iguratimod†, IKK-2-inhibitor-V‡, MD-


920‡, NFKB-activation-inhibitor-IIP, Parthenolide‡, Parthenolide-(-)P, Parthenolide-


(alternate-stereo)P, Pyrrolidine-dithiocarbamateP, Ro-106-9920P, Sasapyrine†, SesaminP, SP-


100030P, Ursolic-acid‡, Verbascoside‡


IL12: Ustekinumab†


Lymphotoxin: Etanercept†


IFNG: Amg 811‡


Anti-IL17: Brodalumab†, Ixekizumab†, Secukinumab†


Anti-TNF: Etanercept†, Adalimumab†, Certolizumab pegol†, Golimumab†, Infliximab†


Anti-IFNA: AGS-009‡, Rontalizumab‡, Sifalimumab‡, Anifrolumab‡


Anti-IL1: Canakinumab†, Anakinra†


IFNB1: PF-06823859‡


TNFSF12: BIIB023‡


TGM2: GK921P, LDN-27219P


RNASE1: Citric acidP, Guanidine†, L-aspartic-acid†


APC: JW-67P


NOS2: AR-C133057XX, DiphenyleneiodoniumP, Pyrrolidine-dithiocarbamateP


ETV6-NTRK3: Entrectinib†, GNF-5837P, Larotrectinib†


Interferon: Anti-IFNA, Amg 811†, Anti-IFN OMEGA‡, PF-06823859‡


JAK inhibitors: AT-9283‡, Baricitinib†, Cucurbitacin-I, Filgotinib‡, Ruxolitinib†, Solcitinib‡,


Tofacitinib†, Upadacitinib†, AG-490P, Atiprimod, Atractylenolide-iP, AZD1480‡, AZ960P,


BMS-911543‡, CEP-33779P, Curcumol‡, cyt387‡, Decernotinib‡, Delgocitinib‡, Fedratinib†,


Ganoderic-acid-aP, Itacitinib‡, JAK3-inhibitor-VP, LY2784544‡, NS-018‡, NVP-BSK805P,


Pacritinib‡, Peficitinib†, PF-06651600‡, Ruxolitinib-(S)P, TCS-21311P, TG-02‡, TG-


101209P, Thiram†, WHI-P154P, XL019‡, ZM-39923P, 1,2,3,4,5,6-hexabromocyclohexaneP


Tlr: Hydroxychloroquine†


Tnf (family) inhibitors: Anti-TNF, Dapirolizumab pegol‡, BIIB023t, Atacicept‡, RC18‡,


Amg 570‡, Belimumab†, Blisibimod‡, Tabalumab‡


Drugs Predicted As Upstream Regulators (Inhibited): Alefacept, Etanercept†, Fontolizumab,


Leuprolide†, Hydrogen peroxide, ATP, Hydroquinone†, Nitric oxide, Estriol†,


Norepinephrine†, D-glucose, Sphingosine-1-phosphate, Dexamethasone†,


Methylprednisolone†, Raloxifene†, 3-deazaneplanocinP, Dalfampridine†,


Medroxyprogesterone acetate†. Lithium chloride, Chloropromazine, Tofacitinib†,


Nelfinavir†, Chloroquine†, Quercetin†


BAL-CoV2 vs. PBMC-CoV2 (Airway)


Anti-IL17: Brodalumab†, Ixekizumab†, Secukinumab†


CD3: Blinatumomab†


FCER1: Omalizumab


PXR-ligand-PXR-Retinoic acid-RXRα: Retinol†, Fenretinide†


IL13: Lebrikizumab†


IL2: Daclizumab†


FLT3LG: Midostaurin†, Quizartinib‡, Sorafenib†, TCS-359P


IL3: Talacotuzumab†


LIPE: Oxybenzonet†, Benzyl-benzoate†


B4GALNT1: Dinutuximab†


SIRT3: Tenovin-6P


RNASE1: Citric acidP, Guanidine†, L-aspartic-acid†


EWSR1-FLI1: YK-4-279P


Nr1h: GW-4064P


Anti-Hsp90: Alvespimycin‡, BIIB021‡, GeduninP, GeldanamycinP, NVP-AUY922‡, PU-


H71‡, Radicicol, Tanespimycin‡


IL12: Ustekinumab†


JAK inhibitors: AT-9283‡, Baricitinib†, Cucurbitacin-I, Filgotinib‡, Ruxolitinib†, Solcitinib‡,


Tofacitinib†, Upadacitinib†, AG-490P, Atiprimod‡, Atractylenolide-iP, AZD1480‡, AZ960P,


BMS-911543‡, CEP-33779P, Curcumol‡, cyt387‡, Decernotinib‡, Delgocitinib‡, Fedratinib†,


Ganoderic-acid-aP, Itacitinib‡, JAK3-inhibitor-VP, LY2784544‡, NS-018‡, NVP-BSK805P,


Pacritinib, Peficitinib‡, PF-06651600‡, Ruxolitinib-(S)P, TCS-21311P, TG-02‡, TG-


101209P, Thiram†, WHI-P154P, XL019t, ZM-39923P, 1,2,3,4,5,6-hexabromocyclohexaneP


PRKCQ: Afimoxifene‡, DexfosfoserineP, GSK690693‡, Sotrastaurin‡, Tamoxifen†


LCK: Aminogenistein, JW-7-24-1, PP-2P, WH-4023


ROCK inhibitors: Fasudil†, Ripasudil†, GSK-429286AP, GSK-269962P, KD025‡, LX7101‡,


OXA-06P, RKI-1447P, SB-772077BP, SR-3677P, Y-39983†, Y-27632P


Estrogen receptor antagonists: Tamoxifen†, Acolbifene‡, Afimoxifene‡, Clomifene†,


Danazol†, Endoxifen‡, Fulvestrant†, G-15P, GDC-0927‡, PHTPPP, Raloxifene†,


Toremifene†, Y-134P, ZK-164015P


AR: Androstenedione, BMS-641988, Enzalutamide†, Flutamide†, Nilutamide†


SNH: SANT-1P, SANT-2P


STATE Sinensetin


EPAS1: Cephaeline, YC-1P, TC-S-7009P, PT-2385‡


GATA3: Cyclosporin-a†, Simvastatin†, Tacrolimus†


TEAD2: OleoylethanolamideP


IKZF3: Lenalidomide†


ATF2: Ephedrine-(racemic)†


ITGB2: BMS-587101‡, Simvastatin†


TLR3: CU-CPT-4aP


Anti-IL6: Imiquimod†, PF-04236921‡, Siltuximab†, Sirukumab‡, Sarilumab†, Tocilizumab†,


Vobarilizumab‡


Drugs Predicted As Upstream Regulators (Inhibited): 15-deoxy-delta-12, 14-PGJ 2,


Hydrocortisone†, SB203580, JAK inhibitor I, UM101, Z-DEVD-FMK, Triptolide‡,


Etretinate{circumflex over ( )}





Legend: †FDA-approved; ‡Drug in development/clinical trials; PPreclinical; {circumflex over ( )}Withdrawn from market













TABLE 8B





(Unique IPA-predicted drugs by mechanism of action in blood, lung, or airway)







PBMC (blood)


Abl kinase inhibitor, ACE inhibitor, activator of soluble guanylyl cyclase, ALK tyrosine


kinase receptor mutant inhibitor, Anti-CD38, Anti-IFNAR1, Anti-IFNG, Anti-IL6, Anti-IL6


receptor, Anti-TNF, apoptosis stimulant, bacterial DNA gyrase inhibitor, Benzodiazepine


receptor agonist, CCR expression inhibitor, cell cycle inhibitor, COX inhibitor, CSFR


antagonist, cytochrome C release inhibitor, dopamine precursor, ErbB2 tyrosine kinase


inhibitor, FGFR inhibitor, glucokinase inhibitor, GnRH agonist, hypercalcaemic agent,


hypoxia inducible factor inhibitor, IFNA inhibitor, inhibitor of methylation of endogenous


isoprenylated proteins, insulin growth factor receptor inhibitor, insulin receptor ligand,


interferon inducer, interleukin inhibitor, kinase inhibitor, KIT inhibitor, Leucine rich repeat


kinase inhibitor, MCL1 inhibitor, membrane integrity inhibitor, NADH-ubiquinone


oxidoreductase (Complex I) inhibitor, NFκB pathway inhibitor, PDGFR inhibitor, phorbol


ester-induced ornithine decarboxylase (ODC) activity suppressor, PPAR receptor antagonist,


Proteasome inhibitor, RAF inhibitor, receptor tyrosine protein kinase inhibitor, RET tyrosine


kinase inhibitor, SIRT activator, Src inhibitor, Src tyrosine kinase inhibitor, steroid 5alpha-


reductase inhibitor, survivin inhibitor, T cell inhibitor, TGF beta receptor inhibitor,


thromboxane synthase inhibitor, thymidylate synthase inhibitor, TLR agonist, TNKS


inhibitor, tyrosine kinase inhibitor, VEGFR inhibitor, vitamin D receptor agonist, XIAP


inhibitor


Lung


Abl kinase inhibitor, acetylcholinesterase inhibitor, adiponectin receptor agonist, adrenergic


receptor agonist, aldehyde dehydrogenase inhibitor, aldose reductase inhibitor, algicide, ALK


expression enhancer, Anti-CD2, Anti-CD40LG, Anti-ICOSLG, Anti-IFNAR1, Anti-IFNB1,


Anti-IFNG, Anti-IFNW1, Anti-IL1, Anti-IL17, Anti-IL17 receptor, antimalarial agent, Anti-


TNF, Anti-TNFSF12, Anti-TNFSF13, Anti-TNFSF13B, AP inhibitor, apoptosis stimulant,


Bcr-Abl kinase inhibitor, CCN expression inhibitor, chitinase inhibitor, cholesterol inhibitor,


coagulation factor inhibitor, corticosteroid agonist, COX inhibitor, cytochrome P450 inhibitor,


cytokine production inhibitor, diacylglycerol O acyltransferase inhibitor, differentiation


inducer, disease modifying antirheumatic drug, DNA inhibitor, DNA methyltransferase


inhibitor, endoglin expression enhancer, ErbB2 tyrosine kinase inhibitor, Estrogen receptor


agonist, free radical scavenger, FtsZ inhibitor, glucocorticoid receptor modulator, glucose 6


phosphatase inhibitor, glucosidase inhibitor, GnRH agonist, growth factor receptor inhibitor,


histone lysine methyltransferase inhibitor, histone N-acetyltransferase inhibitor, HIV integrase


inhibitor, HIV protease inhibitor, IFNA inhibitor, IL12/23 inhibitor, immunosuppressant,


lipocortin synthesis stimulant, lipoxygenase inhibitor, MAPK inhibitor, melanin inhibitor,


metallic radical formation stimulant, mitotic inhibitor, monoamine oxidase inhibitor, NADPH


oxidase inhibitor, NFκB pathway activator, NFκB pathway inhibitor, nitric oxide synthase


inhibitor, phospholipase inhibitor, polar auxin transport inhibitor, potassium channel blocker,


prostanoid receptor antagonist, Proteasome inhibitor, proto-oncogene tyrosine protein kinase


inhibitor, quorum sensing signaling modulator, SARS coronavirus 3C-like protease inhibitor,


selective estrogen receptor modulator, SIRT activator, sodium channel blocker, STAT


inhibitor, steroidal receptor agonist, tau aggregation inhibitor, thioredoxin reductase inhibitor,


tissue transglutaminase inhibitor, TP53 activator, transglutaminase inhibitor, tropomyosin


receptor kinase inhibitor, tyrosine kinase inhibitor, WNT pathway inhibitor, xanthine oxidase


inhibitor


BAL (airway)


Abl kinase inhibitor, activator of soluble guanylyl cyclase, adrenergic receptor agonist, ALK


expression enhancer, Anti-B4GALNT1, Anti-CD19, Anti-CD3, Anti-FCER1A, Anti-IL13,


Anti-IL17, Anti-IL17 receptor, Anti-IL2R, Anti-IL3R, Anti-IL6, Anti-IL6 receptor, Anti-


MS4A2, Anti-TNF, apoptosis stimulant, AR antagonist, ATP citrase lyase inhibitor, Bcr-Abl


kinase inhibitor, binding of RNA helicase A to the transcription factor EWS-FLI1 inhibitor,


calcium channel activator, calcium sensitizer, cell cycle inhibitor, cereblon inhibitor,


cholesterol inhibitor, coagulation factor inhibitor, colony stimulating factor, corticosteroid


agonist, COX inhibitor, cyclin inhibitor, cyclophilin inhibitor, cytochrome P450 inhibitor,


disease modifying antirheumatic drug, DNA directed DNA polymerase inhibitor, endoglin


expression enhancer, ErbB2 tyrosine kinase inhibitor, Estrogen receptor agonist, estrogen


receptor modulator, EWS-FLI1 inhibitor, FK506-binding protein inhibitor, FXR agonist,


glucose-dependent insulinotropic receptor agonist, histamine release inhibitor, hypoxia


inducible factor inhibitor, IL12/23 inhibitor, immunostimulant, immunosuppressant, insulin


expression inhibitor, integrin antagonist, interferon inducer, interleukin inhibitor, kinase


inhibitor, KIT inhibitor, LCK inhibitor, Leucine rich repeat kinase inhibitor, LIM kinase


inhibitor, lipase inhibitor, lipocortin synthesis stimulant, luteinizing hormone releasing


hormone antagonist, macrolide calcineurin inhibitor, MAPK inhibitor, membrane integrity


inhibitor, metallic radical formation stimulant, mitotic inhibitor, multi targeted kinase


inhibitor, opioid receptor ligand, PKA inhibitor, potassium channel blocker, PPAR receptor


agonist, PPAR receptor antagonist, protease inhibitor, pyruvate dehydrogenase kinase


inhibitor, RAF inhibitor, RET tyrosine kinase inhibitor, retinoid receptor agonist, RNA


directed RNA polymerase inhibitor, ROCK inhibitor, rotamase inhibitor, selective estrogen


receptor modulator, SIRT inhibitor, soluble epoxide hydrolase inhibitor, Src inhibitor, STAT


inhibitor, steroid derivative with antigonadotropic and anti-estrogenic activities, stress


activated protein kinase inhibitor, T cell inhibitor, testosterone receptor agonist, TLR agonist,


TLR inhibitor, TNF modulator, tumor apoptosis inducer, tyrosine kinase inhibitor, VEGFR


inhibitor





Legend: † FDA-approved; ‡ Drug in development/clinical trials; P Preclinical; {circumflex over ( )} Withdrawn from market






Further details are described by, for example, Daamen et al., “Comprehensive transcriptomic analysis of COVID-19 blood, lung, and airway”, Scientific Reports, Vol. 11, No. 7052 (2021), which is incorporated by reference herein in its entirety.


While preferred embodiments have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions will now occur to those skilled in the art without departing from the scope of the disclosure. It should be understood that various alternatives to the embodiments described herein may be employed in practice. Numerous different combinations of embodiments described herein are possible, and such combinations are considered part of the present disclosure. In addition, all features discussed in connection with any one embodiment herein can be readily adapted for use in other embodiments herein. It is intended that the following claims define the scope of the disclosure and that methods and structures within the scope of these claims and their equivalents be covered thereby.

Claims
  • 1. A method for determining a COVID-19 disease state of a subject, comprising: (a) assaying a biological sample obtained or derived from the subject to produce a data set comprising gene expression measurements of the biological sample at each of a plurality of COVID-19 disease-associated genomic loci, wherein the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of a gene selected from the group of genes listed in Table 6 and Tables 7A-7C;(b) computer processing the data set to determine the COVID-19 disease state of the subject; and(c) electronically outputting a report indicative of the COVID-19 disease state of the subject.
  • 2. The method of claim 1, wherein the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 105, 110, 115, 120, 125, 130, 135, 140, 145, 150, 155, 160, 165, 170, 175, 180, 185, 190, 195, 200, 205, 210, 215, 220, 225, 230, 235, 240, 245, 250, 255, 260, 265, 270, 275, 280, 285, 290, 295, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800, 850, 900, 950, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 2700, 2800, 2900, 3000, 3100, 3200, 3300, 3400, 3500, 3600, 3700, 3800, 3900, 4000, 4100, 4200, 4300, 4400, 4500, 4600, 4700, 4800, 4900, 5000, 5100, 5200, 5300, 5400, 5500, 5600, 5700, 5800, 5900, or 6000 genes selected from the group of genes listed in Table 6 and Tables 7A-7C.
  • 3. The method of claim 1, further comprising determining the COVID-19 disease state of the subject with an accuracy of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 4. The method of claim 1, further comprising determining the COVID-19 disease state of the subject with a sensitivity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 5. The method of claim 1, further comprising determining the COVID-19 disease state of the subject with a specificity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 6. The method of claim 1, further comprising determining the COVID-19 disease state of the subject with a positive predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 7. The method of claim 1, further comprising determining the COVID-19 disease state of the subject with a negative predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 8. The method of claim 1, further comprising determining the COVID-19 disease state of the subject with an Area-Under-Curve (AUC) of at least about 0.50, at least about 0.55, at least about 0.60, at least about 0.65, at least about 0.70, at least about 0.75, at least about 0.80, at least about 0.85, at least about 0.90, at least about 0.91, at least about 0.92, at least about 0.93, at least about 0.94, at least about 0.95, at least about 0.96, at least about 0.97, at least about 0.98, at least about 0.99, or more than about 0.99.
  • 9. The method of claim 1, wherein the subject has received a diagnosis of the COVID-19 disease.
  • 10. The method of claim 1, wherein the subject is suspected of having the COVID-19 disease.
  • 11. The method of claim 1, wherein the subject is at elevated risk of having the COVID-19 disease or having severe complications from the COVID-19 disease.
  • 12. The method of claim 1, wherein the subject is asymptomatic for the COVID-19 disease.
  • 13. The method of any one of claims 1 to 12, further comprising administering a treatment to the subject based at least in part on the determined COVID-19 disease state.
  • 14. The method of claim 13, wherein the treatment is configured to treat the COVID-19 disease state of the subject.
  • 15. The method of claim 13, wherein the treatment is configured to reduce a severity of the COVID-19 disease state of the subject.
  • 16. The method of claim 13, wherein the treatment is configured to reduce a risk of having the COVID-19 disease.
  • 17. The method of claim 13, wherein the treatment comprises a drug.
  • 18. The method of claim 17, wherein the drug is selected from the group listed in Tables 8A-8B.
  • 19. The method of claim 1, wherein (b) comprises using a trained machine learning classifier to analyze the data set to determine the COVID-19 disease state of the subject.
  • 20. The method of claim 19, wherein the trained machine learning classifier is trained using gene expression data obtained by a data analysis tool selected from the group consisting of: a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, and a Gene Set Variation Analysis (GSVA) tool.
  • 21. The method of claim 19, wherein the trained machine learning classifier is selected from the group consisting of a linear regression, a logistic regression, a Ridge regression, a Lasso regression, an elastic net (EN) regression, a support vector machine (SVM), a gradient boosted machine (GBM), a k nearest neighbors (kNN), a generalized linear model (GLM), a naïve Bayes (NB) classifier, a neural network, a Random Forest (RF), a deep learning algorithm, and a combination thereof.
  • 22. The method of claim 1, wherein (b) comprises comparing the data set to a reference data set.
  • 23. The method of claim 22, wherein the reference data set comprises gene expression measurements of reference biological samples at each of the plurality of COVID-19 disease-associated genomic loci.
  • 24. The method of claim 23, wherein the reference biological samples comprise a first plurality of biological samples obtained or derived from subjects having the COVID-19 disease and a second plurality of biological samples obtained or derived from subjects not having the COVID-19 disease.
  • 25. The method of claim 1, wherein the biological sample is selected from the group consisting of: a blood sample, isolated peripheral blood mononuclear cells (PBMCs), a biopsy sample, and any derivative thereof.
  • 26. The method of any one of claims 1-25, further comprising determining a likelihood of the determined COVID-19 disease state.
  • 27. The method of any one of claims 1 to 26, further comprising monitoring the COVID-19 disease state of the subject, wherein the monitoring comprises assessing the COVID-19 disease state of the subject at a plurality of time points.
  • 28. The method of claim 27, wherein a difference in the assessment of the COVID-19 disease state of the subject among the plurality of time points is indicative of one or more clinical indications selected from the group consisting of: (i) a diagnosis of the COVID-19 disease state of the subject, (ii) a prognosis of the COVID-19 disease state of the subject, and (iii) an efficacy or non-efficacy of a course of treatment for treating the COVID-19 disease state of the subject.
  • 29. A computer system for determining a COVID-19 disease state of a subject, comprising: a database that is configured to store a dataset comprising gene expression data, wherein the gene expression data is obtained by assaying a biological sample obtained or derived from the subject to produce gene expression measurements of the biological sample at each of a plurality of COVID-19 disease-associated genomic loci, wherein the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of a gene selected from the group of genes listed in Table 6 and Tables 7A-7C; andone or more computer processors operatively coupled to the database, wherein the one or more computer processors are individually or collectively programmed to: (i) computer process the data set to determine the COVID-19 disease state of the subject; (ii) electronically output a report indicative of the COVID-19 disease state of the subject.
  • 30. The computer system of claim 29, further comprising an electronic display operatively coupled to the one or more computer processors, wherein the electronic display comprises a graphical user interface that is configured to display the report.
  • 31. The computer system of claim 29, wherein the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 105, 110, 115, 120, 125, 130, 135, 140, 145, 150, 155, 160, 165, 170, 175, 180, 185, 190, 195, 200, 205, 210, 215, 220, 225, 230, 235, 240, 245, 250, 255, 260, 265, 270, 275, 280, 285, 290, 295, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800, 850, 900, 950, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 2700, 2800, 2900, 3000, 3100, 3200, 3300, 3400, 3500, 3600, 3700, 3800, 3900, 4000, 4100, 4200, 4300, 4400, 4500, 4600, 4700, 4800, 4900, 5000, 5100, 5200, 5300, 5400, 5500, 5600, 5700, 5800, 5900, or 6000 genes selected from the group of genes listed in Table 6 and Tables 7A-7C.
  • 32. The computer system of claim 29, wherein the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with an accuracy of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 33. The computer system of claim 29, wherein the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with a sensitivity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 34. The computer system of claim 29, wherein the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with a specificity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 35. The computer system of claim 29, wherein the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with a positive predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 36. The computer system of claim 29, wherein the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with a negative predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 37. The computer system of claim 29, wherein the one or more computer processors are individually or collectively programmed to further determine the COVID-19 disease state of the subject with an Area-Under-Curve (AUC) of at least about 0.50, at least about 0.55, at least about 0.60, at least about 0.65, at least about 0.70, at least about 0.75, at least about 0.80, at least about 0.85, at least about 0.90, at least about 0.91, at least about 0.92, at least about 0.93, at least about 0.94, at least about 0.95, at least about 0.96, at least about 0.97, at least about 0.98, at least about 0.99, or more than about 0.99.
  • 38. The computer system of claim 29, wherein the subject has received a diagnosis of the COVID-19 disease.
  • 39. The computer system of claim 29, wherein the subject is suspected of having the COVID-19 disease.
  • 40. The computer system of claim 29, wherein the subject is at elevated risk of having the COVID-19 disease or having severe complications from the COVID-19 disease.
  • 41. The computer system of claim 29, wherein the subject is asymptomatic for the COVID-19 disease.
  • 42. The computer system of any one of claims 29-41, wherein the one or more computer processors are individually or collectively programmed to further direct a treatment to be administered to the subject based at least in part on the determined COVID-19 disease state.
  • 43. The computer system of claim 42, wherein the treatment is configured to treat the COVID-19 disease state of the subject.
  • 44. The computer system of claim 42, wherein the treatment is configured to reduce a severity of the COVID-19 disease state of the subject.
  • 45. The computer system of claim 42, wherein the treatment is configured to reduce a risk of having the COVID-19 disease.
  • 46. The computer system of claim 42, wherein the treatment comprises a drug.
  • 47. The computer system of claim 46, wherein the drug is selected from the group listed in Tables 8A-8B.
  • 48. The computer system of claim 29, wherein (i) comprises using a trained machine learning classifier to analyze the data set to determine the COVID-19 disease state of the subject.
  • 49. The computer system of claim 48, wherein the trained machine learning classifier is trained using gene expression data obtained by a data analysis tool selected from the group consisting of: a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, and a Gene Set Variation Analysis (GSVA) tool.
  • 50. The computer system of claim 48, wherein the trained machine learning classifier is selected from the group consisting of a linear regression, a logistic regression, a Ridge regression, a Lasso regression, an elastic net (EN) regression, a support vector machine (SVM), a gradient boosted machine (GBM), a k nearest neighbors (kNN), a generalized linear model (GLM), a naïve Bayes (NB) classifier, a neural network, a Random Forest (RF), a deep learning algorithm, and a combination thereof.
  • 51. The computer system of claim 29, wherein (i) comprises comparing the data set to a reference data set.
  • 52. The computer system of claim 51, wherein the reference data set comprises gene expression measurements of reference biological samples at each of the plurality of COVID-19 disease-associated genomic loci.
  • 53. The computer system of claim 52, wherein the reference biological samples comprise a first plurality of biological samples obtained or derived from subjects having the COVID-19 disease and a second plurality of biological samples obtained or derived from subjects not having the COVID-19 disease.
  • 54. The computer system of claim 29, wherein the biological sample is selected from the group consisting of: a blood sample, isolated peripheral blood mononuclear cells (PBMCs), a biopsy sample, and any derivative thereof.
  • 55. The computer system of any one of claims 29-54, wherein the one or more computer processors are individually or collectively programmed to further determine a likelihood of the determined COVID-19 disease state.
  • 56. The computer system of any one of claims 29-55, wherein the one or more computer processors are individually or collectively programmed to further monitor the COVID-19 disease state of the subject, wherein the monitoring comprises assessing the COVID-19 disease state of the subject at a plurality of time points.
  • 57. The computer system of claim 56, wherein a difference in the assessment of the COVID-19 disease state of the subject among the plurality of time points is indicative of one or more clinical indications selected from the group consisting of: (i) a diagnosis of the COVID-19 disease state of the subject, (ii) a prognosis of the COVID-19 disease state of the subject, and (iii) an efficacy or non-efficacy of a course of treatment for treating the COVID-19 disease state of the subject.
  • 58. A non-transitory computer readable medium comprising machine-executable code that, upon execution by one or more computer processors, implements a method for determining a COVID-19 disease state of a subject, the method comprising: (a) assaying a biological sample obtained or derived from the subject to produce a data set comprising gene expression measurements of the biological sample at each of a plurality of COVID-19 disease-associated genomic loci, wherein the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of a gene selected from the group of genes listed in Table 6 and Tables 7A-7C;(b) computer processing the data set to determine the COVID-19 disease state of the subject; and(c) electronically outputting a report indicative of the COVID-19 disease state of the subject.
  • 59. The non-transitory computer readable medium of claim 58, wherein the plurality of COVID-19 disease-associated genomic loci comprises at least a portion of 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 105, 110, 115, 120, 125, 130, 135, 140, 145, 150, 155, 160, 165, 170, 175, 180, 185, 190, 195, 200, 205, 210, 215, 220, 225, 230, 235, 240, 245, 250, 255, 260, 265, 270, 275, 280, 285, 290, 295, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800, 850, 900, 950, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 2700, 2800, 2900, 3000, 3100, 3200, 3300, 3400, 3500, 3600, 3700, 3800, 3900, 4000, 4100, 4200, 4300, 4400, 4500, 4600, 4700, 4800, 4900, 5000, 5100, 5200, 5300, 5400, 5500, 5600, 5700, 5800, 5900, or 6000 genes selected from the group of genes listed in Table 6 and Tables 7A-7C.
  • 60. The non-transitory computer readable medium of claim 58, further comprising determining the COVID-19 disease state of the subject with an accuracy of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 61. The non-transitory computer readable medium of claim 58, further comprising determining the COVID-19 disease state of the subject with a sensitivity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 62. The non-transitory computer readable medium of claim 58, further comprising determining the COVID-19 disease state of the subject with a specificity of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 63. The non-transitory computer readable medium of claim 58, further comprising determining the COVID-19 disease state of the subject with a positive predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 64. The non-transitory computer readable medium of claim 58, further comprising determining the COVID-19 disease state of the subject with a negative predictive value of at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more than about 99%.
  • 65. The non-transitory computer readable medium of claim 58, further comprising determining the COVID-19 disease state of the subject with an Area-Under-Curve (AUC) of at least about 0.50, at least about 0.55, at least about 0.60, at least about 0.65, at least about 0.70, at least about 0.75, at least about 0.80, at least about 0.85, at least about 0.90, at least about 0.91, at least about 0.92, at least about 0.93, at least about 0.94, at least about 0.95, at least about 0.96, at least about 0.97, at least about 0.98, at least about 0.99, or more than about 0.99.
  • 66. The non-transitory computer readable medium of claim 58, wherein the subject has received a diagnosis of the COVID-19 disease.
  • 67. The non-transitory computer readable medium of claim 58, wherein the subject is suspected of having the COVID-19 disease.
  • 68. The non-transitory computer readable medium of claim 58, wherein the subject is at elevated risk of having the COVID-19 disease or having severe complications from the COVID-19 disease.
  • 69. The non-transitory computer readable medium of claim 58, wherein the subject is asymptomatic for the COVID-19 disease.
  • 70. The non-transitory computer readable medium of any one of claims 58-69, further comprising directing a treatment to be administered to the subject based at least in part on the determined COVID-19 disease state.
  • 71. The non-transitory computer readable medium of claim 70, wherein the treatment is configured to treat the COVID-19 disease state of the subject.
  • 72. The non-transitory computer readable medium of claim 70, wherein the treatment is configured to reduce a severity of the COVID-19 disease state of the subject.
  • 73. The non-transitory computer readable medium of claim 70, wherein the treatment is configured to reduce a risk of having the COVID-19 disease.
  • 74. The non-transitory computer readable medium of claim 70, wherein the treatment comprises a drug.
  • 75. The non-transitory computer readable medium of claim 74, wherein the drug is selected from the group listed in Tables 8A-8B.
  • 76. The non-transitory computer readable medium of claim 58, wherein (b) comprises using a trained machine learning classifier to analyze the data set to determine the COVID-19 disease state of the subject.
  • 77. The non-transitory computer readable medium of claim 76, wherein the trained machine learning classifier is trained using gene expression data obtained by a data analysis tool selected from the group consisting of: a BIG-C™ big data analysis tool, an I-Scope™ big data analysis tool, a T-Scope™ big data analysis tool, a CellScan big data analysis tool, an MS (Molecular Signature) Scoring™ analysis tool, and a Gene Set Variation Analysis (GSVA) tool.
  • 78. The non-transitory computer readable medium of claim 76, wherein the trained machine learning classifier is selected from the group consisting of a linear regression, a logistic regression, a Ridge regression, a Lasso regression, an elastic net (EN) regression, a support vector machine (SVM), a gradient boosted machine (GBM), a k nearest neighbors (kNN), a generalized linear model (GLM), a naïve Bayes (NB) classifier, a neural network, a Random Forest (RF), a deep learning algorithm, and a combination thereof.
  • 79. The non-transitory computer readable medium of claim 58, wherein (b) comprises comparing the data set to a reference data set.
  • 80. The non-transitory computer readable medium of claim 79, wherein the reference data set comprises gene expression measurements of reference biological samples at each of the plurality of COVID-19 disease-associated genomic loci.
  • 81. The non-transitory computer readable medium of claim 80, wherein the reference biological samples comprise a first plurality of biological samples obtained or derived from subjects having the COVID-19 disease and a second plurality of biological samples obtained or derived from subjects not having the COVID-19 disease.
  • 82. The non-transitory computer readable medium of claim 58, wherein the biological sample is selected from the group consisting of: a blood sample, isolated peripheral blood mononuclear cells (PBMCs), a biopsy sample, and any derivative thereof.
  • 83. The non-transitory computer readable medium of any one of claims 58-82, further comprising determining a likelihood of the determined COVID-19 disease state.
  • 84. The non-transitory computer readable medium of any one of claims 58-83, further comprising monitoring the COVID-19 disease state of the subject, wherein the monitoring comprises assessing the COVID-19 disease state of the subject at a plurality of time points.
  • 85. The non-transitory computer readable medium of claim 84, wherein a difference in the assessment of the COVID-19 disease state of the subject among the plurality of time points is indicative of one or more clinical indications selected from the group consisting of: (i) a diagnosis of the COVID-19 disease state of the subject, (ii) a prognosis of the COVID-19 disease state of the subject, and (iii) an efficacy or non-efficacy of a course of treatment for treating the COVID-19 disease state of the subject.
CROSS-REFERENCE

This application claims the benefit of U.S. Provisional Patent Application No. 63/023,088, filed May 11, 2020, which is incorporated by reference herein in its entirety.

PCT Information
Filing Document Filing Date Country Kind
PCT/US2021/031535 5/10/2021 WO
Provisional Applications (1)
Number Date Country
63023088 May 2020 US