Increasing efficiency of spatial analysis in a biological sample

Information

  • Patent Grant
  • 12286673
  • Patent Number
    12,286,673
  • Date Filed
    Friday, June 23, 2023
    a year ago
  • Date Issued
    Tuesday, April 29, 2025
    4 days ago
Abstract
Disclosed herein are methods of amplifying an analyte in a biological sample using a bridging oligonucleotide that hybridizes to a captured analyte. The methods disclosed herein include steps of (a) contacting a biological sample with a substrate having capture probes comprising a capture domain and a spatial barcode; (b) hybridizing the analyte to the capture domain; and (c) contacting the analyte to a bridging oligonucleotide comprising (i) a capture-probe-binding sequence, and (ii) an analyte-binding sequence; (d) extending the bridging oligonucleotide; and (e) determining (i) all or a part of the sequence of the analyte, or a complement thereof, and (ii) the spatial barcode, or a complement thereof, and using the determined sequence of (i) and (ii) to determine the location of the analyte in the biological sample.
Description
SEQUENCE LISTING

This application contains a Sequence Listing that has been submitted electronically as an XML file named “47706-0183002_SL_ST26.XML.” The XML file, created on Jun. 21, 2023, is 2,792 bytes in size. The material in the XML file is hereby incorporated by reference in its entirety.


BACKGROUND

Cells within a tissue of a subject have differences in cell morphology and/or function due to varied analyte levels (e.g., gene and/or protein expression) within the different cells. The specific position of a cell within a tissue (e.g., the cell's position relative to neighboring cells or the cell's position relative to the tissue microenvironment) can affect, e.g., the cell's morphology, differentiation, fate, viability, proliferation, behavior, and signaling and cross-talk with other cells in the tissue.


Spatial heterogeneity has been previously studied using techniques that only provide data for a small handful of analytes in the context of an intact tissue or a portion of a tissue, or provide a lot of analyte data for single cells, but fail to provide information regarding the position of the single cell in a parent biological sample (e.g., tissue sample).


Detecting and/or analyzing expression of genes in a biological sample can require methods for analyzing RNA in order to obtain spatial information about the target genes in the biological sample. Reverse transcription of mRNAs requires a primer to generate cDNA molecules. A primer can include a poly(T) oligonucleotide sequence that can function as a primer for reverse transcription while binding to the poly(A) tail of an mRNA molecule. However, in some instances, the mRNA-capturing oligonucleotides cannot be used for priming reverse transcription due to their specific spatial distribution or design. Therefore, there is a need for a primer can be used for priming reverse transcription of an mRNA that was captured by a different adjacent oligonucleotide.


SUMMARY

Disclosed herein are methods of determining the location of an analyte in a biological sample, the methods comprising: (a) contacting a biological sample with a substrate comprising a plurality of capture probes, wherein a capture probe in the plurality of capture probes comprises a capture domain and a spatial barcode; (b) hybridizing the analyte to the capture domain, thereby generating a capture analyte; and (c) contacting the captured analyte to a bridging oligonucleotide, wherein the bridging oligonucleotide comprises: (i) a capture-probe-binding sequence, and (ii) an analyte-binding sequence; (d) extending the bridging oligonucleotide using the analyte as a template to generate an extended capture probe comprising (i) the analyte, or a complement thereof, and (ii) the spatial barcode or a complement thereof; and (e) determining (i) all or a part of the sequence of the analyte, or a complement thereof, and (ii) all or a part of the sequence of the spatial barcode, or a complement thereof, and using the determined sequence of (i) and (ii) to determine the location of the analyte in the biological sample.


In some embodiments, the bridging oligonucleotide further comprises (i) a flexible arm, and (ii) an annealing sequence comprising a functional domain, wherein the functional sequence is a primer sequence. In some embodiments, the flexible arm comprises a poly(T) sequence, poly(A) sequence, or a chemical group. In some embodiments, the bridging oligonucleotide comprises a 3′-OH end. In some embodiments, the capture-probe-binding sequence comprises a sequence that is complementary to the spatial barcode.


In some embodiments, contacting the captured analyte to the bridging oligonucleotide further comprises adding a capture probe primer sequence that hybridizes independently to the capture probe. In some embodiments, the methods further comprise extending the capture probe using the capture probe primer sequence, thereby generating an extended capture probe primer sequence. In some embodiments, the methods further comprise ligating the extended capture probe primer sequence to the bridging oligonucleotide. In some embodiments, contacting the captured analyte to the bridging oligonucleotide further comprises hybridizing one or more oligonucleotides that are complementary to adjacent sequences on the capture probe. In some embodiments, the methods further comprise ligating the one or more oligonucleotides that are complementary to adjacent sequences to one another and to the bridging oligonucleotide. In some embodiments, the step of extending comprises reverse transcription. In some embodiments, the methods further comprise cleaving the extended capture probe from the substrate, and determining (i) all or a part of the sequence of the analyte, or a complement thereof, and (ii) all or a part of the sequence of the spatial barcode, or a complement thereof, by sequencing.


In some embodiments, the biological sample is a tissue, a tissue section, an organ, an organism, or a cell culture sample. In some embodiments, the biological sample is a formalin-fixed, paraffin-embedded (FFPE) tissue sample, a frozen tissue sample, or a fresh tissue sample. In some embodiments, the analyte is selected from the group consisting of an RNA molecule, a DNA molecule, a protein, a small molecule, and a metabolite. In some embodiments, the analyte is mRNA. In some embodiments, the capture domain comprises a poly(T) sequence.


Provided herein are systems for spatial analysis comprising: (a) a substrate comprising a plurality of capture probes, wherein a capture probe in the plurality of capture probes comprises a capture domain and a spatial barcode; and (b) a plurality of bridging oligonucleotides, wherein a bridging oligonucleotide in the plurality of bridging oligonucleotides comprises (i) a capture-probe-binding sequence, (ii) an analyte-binding sequence, (iii) a flexible arm, and (iv) a sequence comprising a primer sequence. In some embodiments, the flexible arm comprises a poly(T) sequence, poly(A) sequence, or a chemical group.


Provided herein are kits comprising: (a) a substrate comprising a plurality of capture probes, wherein a capture probe in the plurality of capture probes comprises a capture domain and a spatial barcode; (b) a plurality of bridging oligonucleotides, wherein a bridging oligonucleotide in the plurality of bridging oligonucleotides comprises (i) a capture-probe-binding sequence and (ii) an analyte-binding sequence; and (c) instructions for performing the method of claim 1.


All publications, patents, patent applications, and information available on the internet and mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent, patent application, or item of information was specifically and individually indicated to be incorporated by reference. To the extent publications, patents, patent applications, and items of information incorporated by reference contradict the disclosure contained in the specification, the specification is intended to supersede and/or take precedence over any such contradictory material.


Where values are described in terms of ranges, it should be understood that the description includes the disclosure of all possible sub-ranges within such ranges, as well as specific numerical values that fall within such ranges irrespective of whether a specific numerical value or specific sub-range is expressly stated.


The term “each,” when used in reference to a collection of items, is intended to identify an individual item in the collection but does not necessarily refer to every item in the collection, unless expressly stated otherwise, or unless the context of the usage clearly indicates otherwise.


The singular form “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise. For example, the term “a cell” includes one or more cells, including mixtures thereof. “A and/or B” is used herein to include all of the following alternatives: “A”, “B”, “A or B”, and “A and B”.


Various embodiments of the features of this disclosure are described herein. However, it should be understood that such embodiments are provided merely by way of example, and numerous variations, changes, and substitutions can occur to those skilled in the art without departing from the scope of this disclosure. It should also be understood that various alternatives to the specific embodiments described herein are also within the scope of this disclosure.





DESCRIPTION OF DRAWINGS

The following drawings illustrate certain embodiments of the features and advantages of this disclosure. These embodiments are not intended to limit the scope of the appended claims in any manner. Like reference symbols in the drawings indicate like elements.



FIG. 1 is a schematic diagram showing an example of a barcoded capture probe, as described herein.



FIG. 2 is a schematic illustrating a cleavable capture probe, wherein the cleaved capture probe can enter into a non-permeabilized cell and bind to target analytes within the sample.



FIG. 3 is a schematic diagram of an exemplary multiplexed spatially-barcoded feature.



FIG. 4 is a schematic diagram of an exemplary analyte capture agent.



FIG. 5 is a schematic diagram depicting an exemplary interaction between a feature-immobilized capture probe 524 and an analyte capture agent 526.



FIGS. 6A-6C are schematics illustrating how streptavidin cell tags can be utilized in an array-based system to produce a spatially-barcoded cells or cellular contents.



FIG. 7 shows a schematic of capture of an mRNA molecule and hybridization of a primer (i.e., a bridging oligonucleotide).



FIGS. 8A and 8B show embodiments that include transcription of the capturing nucleotide, including a sequence with a spatial barcode (black ball) (FIG. 8A) and an embodiment using sequential ligation of multiple barcodes (FIG. 8B).





DETAILED DESCRIPTION

I. Introduction


Spatial analysis methods using capture probes and/or analyte capture agents provide information regarding the abundance and location of an analyte (e.g., a nucleic acid or protein). The efficiency of spatial analysis using arrays with capture probes depends, at least in part, on the density of the probes on the array or the density of the analytes captured on the array. That is, on how many capture probes can be printed on the surface of a slide or how many RNA molecules can be captured. Disclosed herein are methods and compositions for increasing the efficiency of spatial analysis by increasing the number of interactions between the capture probe and the analyte. In this way, analyte detection signal is increased, thus increasing the capturing efficiency, sensitivity, and the resolution of detection on the spatial array.


Traditionally, these methods identify a singular molecule at a location. Extending these methods to study interactions between two or more analytes would provide information on the interactions between two or more analytes at a location in a biological sample. Analyte capture agents as provided herein comprises an analyte binding moiety affixed to an oligonucleotide. The oligonucleotide comprises a sequence that uniquely identifies the analyte and moiety. Further, nearby oligonucleotides affixed to a different moiety in a nearby location can be ligated to the first oligonucleotide and then can be detected using the spatial methods described herein. The methods disclosed herein thus provide the ability to study the interaction between two or more analytes in a biological sample.


Spatial analysis methodologies and compositions described herein can provide a vast amount of analyte and/or expression data for a variety of analytes within a biological sample at high spatial resolution, while retaining native spatial context. Spatial analysis methods and compositions can include, e.g., the use of a capture probe including a spatial barcode (e.g., a nucleic acid sequence that provides information as to the location or position of an analyte within a cell or a tissue sample (e.g., mammalian cell or a mammalian tissue sample) and a capture domain that is capable of binding to an analyte (e.g., a protein and/or a nucleic acid) produced by and/or present in a cell. Spatial analysis methods and compositions can also include the use of a capture probe having a capture domain that captures an intermediate agent for indirect detection of an analyte. For example, the intermediate agent can include a nucleic acid sequence (e.g., a barcode) associated with the intermediate agent. Detection of the intermediate agent is therefore indicative of the analyte in the cell or tissue sample.


Non-limiting aspects of spatial analysis methodologies and compositions are described in U.S. Pat. Nos. 10,774,374, 10,724,078, 10,480,022, 10,059,990, 10,041,949, 10,002,316, 9,879,313, 9,783,841, 9,727,810, 9,593,365, 8,951,726, 8,604,182, 7,709,198, U.S. Patent Application Publication Nos. 2020/239946, 2020/080136, 2020/0277663, 2020/024641, 2019/330617, 2019/264268, 2020/256867, 2020/224244, 2019/194709, 2019/161796, 2019/085383, 2019/055594, 2018/216161, 2018/051322, 2018/0245142, 2017/241911, 2017/089811, 2017/067096, 2017/029875, 2017/0016053, 2016/108458, 2015/000854, 2013/171621, WO 2018/091676, WO 2020/176788, Rodrigues et al., Science 363(6434):1463-1467, 2019; Lee et al., Nat. Protoc. 10(3):442-458, 2015; Trejo et al., PLoS ONE 14(2):e0212031, 2019; Chen et al., Science 348(6233):aaa6090, 2015; Gao et al., BMC Biol. 2017; and Gupta et al., Nature Biotechnol. 36:1197-1202, 2018; the Visium Spatial Gene Expression Reagent Kits User Guide (e.g., Rev C, dated June 2020), and/or the Visium Spatial Tissue Optimization Reagent Kits User Guide (e.g., Rev C, dated July 2020), both of which are available at the 10× Genomics Support Documentation website, and can be used herein in any combination. Further non-limiting aspects of spatial analysis methodologies and compositions are described herein.


Some general terminology that may be used in this disclosure can be found in Section (I)(b) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Typically, a “barcode” is a label, or identifier, that conveys or is capable of conveying information (e.g., information about an analyte in a sample, a bead, and/or a capture probe). A barcode can be part of an analyte, or independent of an analyte. A barcode can be attached to an analyte. A particular barcode can be unique relative to other barcodes. For the purpose of this disclosure, an “analyte” can include any biological substance, structure, moiety, or component to be analyzed. The term “target” can similarly refer to an analyte of interest.


Analytes can be broadly classified into one of two groups: nucleic acid analytes, and non-nucleic acid analytes. Examples of non-nucleic acid analytes include, but are not limited to, lipids, carbohydrates, peptides, proteins, glycoproteins (N-linked or O-linked), lipoproteins, phosphoproteins, specific phosphorylated or acetylated variants of proteins, amidation variants of proteins, hydroxylation variants of proteins, methylation variants of proteins, ubiquitylation variants of proteins, sulfation variants of proteins, viral proteins (e.g., viral capsid, viral envelope, viral coat, viral accessory, viral glycoproteins, viral spike, etc.), extracellular and intracellular proteins, antibodies, and antigen binding fragments. In some embodiments, the analyte(s) can be localized to subcellular location(s), including, for example, organelles, e.g., mitochondria, Golgi apparatus, endoplasmic reticulum, chloroplasts, endocytic vesicles, exocytic vesicles, vacuoles, lysosomes, etc. In some embodiments, analyte(s) can be peptides or proteins, including without limitation antibodies and enzymes. Additional examples of analytes can be found in Section (I)(c) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. In some embodiments, an analyte can be detected indirectly, such as through detection of an intermediate agent, for example, a connected probe (e.g., a ligation product) or an analyte capture agent (e.g., an oligonucleotide-conjugated antibody), such as those described herein.


A “biological sample” is typically obtained from the subject for analysis using any of a variety of techniques including, but not limited to, biopsy, surgery, and laser capture microscopy (LCM), and generally includes cells and/or other biological material from the subject. In some embodiments, a biological sample can be a tissue section. In some embodiments, a biological sample can be a fixed and/or stained biological sample (e.g., a fixed and/or stained tissue section). Non-limiting examples of stains include histological stains (e.g., hematoxylin and/or eosin) and immunological stains (e.g., fluorescent stains). In some embodiments, a biological sample (e.g., a fixed and/or stained biological sample) can be imaged. Biological samples are also described in Section (I)(d) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.


In some embodiments, a biological sample is permeabilized with one or more permeabilization reagents. For example, permeabilization of a biological sample can facilitate analyte capture. Exemplary permeabilization agents and conditions are described in Section (I)(d)(ii)(13) or the Exemplary Embodiments Section of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.


Array-based spatial analysis methods involve the transfer of one or more analytes from a biological sample to an array of features on a substrate, where each feature is associated with a unique spatial location on the array. Subsequent analysis of the transferred analytes includes determining the identity of the analytes and the spatial location of the analytes within the biological sample. The spatial location of an analyte within the biological sample is determined based on the feature to which the analyte is bound (e.g., directly or indirectly) on the array, and the feature's relative spatial location within the array.


A “capture probe” refers to any molecule capable of capturing (directly or indirectly) and/or labelling an analyte (e.g., an analyte of interest) in a biological sample. In some embodiments, the capture probe is a nucleic acid or a polypeptide. In some embodiments, the capture probe includes a barcode (e.g., a spatial barcode and/or a unique molecular identifier (UMI)) and a capture domain). In some embodiments, a capture probe can include a cleavage domain and/or a functional domain (e.g., a primer-binding site, such as for next-generation sequencing (NGS)).



FIG. 1 is a schematic diagram showing an exemplary capture probe, as described herein. As shown, the capture probe 102 is optionally coupled to a feature 101 by a cleavage domain 103, such as a disulfide linker. The capture probe can include a functional sequence 104 that are useful for subsequent processing. The functional sequence 104 can include all or a part of sequencer specific flow cell attachment sequence (e.g., a P5 or P7 sequence), all or a part of a sequencing primer sequence, (e.g., a R1 primer binding site, a R2 primer binding site), or combinations thereof. The capture probe can also include a spatial barcode 105. The capture probe can also include a unique molecular identifier (UMI) sequence 106. While FIG. 1 shows the spatial barcode 105 as being located upstream (5′) of UMI sequence 106, it is to be understood that capture probes wherein UMI sequence 106 is located upstream (5′) of the spatial barcode 105 is also suitable for use in any of the methods described herein. The capture probe can also include a capture domain 107 to facilitate capture of a target analyte. In some embodiments, the capture probe comprises one or more additional functional sequences that can be located, for example between the spatial barcode 105 and the UMI sequence 106, between the UMI sequence 106 and the capture domain 107, or following the capture domain 107. The capture domain can have a sequence complementary to a sequence of a nucleic acid analyte. The capture domain can have a sequence complementary to a connected probe described herein. The capture domain can have a sequence complementary to a capture handle sequence present in an analyte capture agent. The capture domain can have a sequence complementary to a splint oligonucleotide. A splint oligonucleotide, in addition to having a sequence complementary to a capture domain of a capture probe, can have a sequence of a nucleic acid analyte, a sequence complementary to a portion of a connected probe described herein, and/or a capture handle sequence described herein.


The functional sequences can generally be selected for compatibility with any of a variety of different sequencing systems, e.g., Ion Torrent Proton or PGM, Illumina sequencing instruments, PacBio, Oxford Nanopore, etc., and the requirements thereof. In some embodiments, functional sequences can be selected for compatibility with non-commercialized sequencing systems. Examples of such sequencing systems and techniques, for which suitable functional sequences can be used, include (but are not limited to) Ion Torrent Proton or PGM sequencing, Illumina sequencing, PacBio SMRT sequencing, and Oxford Nanopore sequencing. Further, in some embodiments, functional sequences can be selected for compatibility with other sequencing systems, including non-commercialized sequencing systems.


In some embodiments, the spatial barcode 105 and functional sequences 104 is common to all of the probes attached to a given feature. In some embodiments, the UMI sequence 106 of a capture probe attached to a given feature is different from the UMI sequence of a different capture probe attached to the given feature.



FIG. 2 is a schematic illustrating a cleavable capture probe, wherein the cleaved capture probe can enter into a non-permeabilized cell and bind to analytes within the sample. The capture probe 201 contains a cleavage domain 202, a cell penetrating peptide 203, a reporter molecule 204, and a disulfide bond (—S—S—). 205 represents all other parts of a capture probe, for example a spatial barcode and a capture domain.



FIG. 3 is a schematic diagram of an exemplary multiplexed spatially-barcoded feature. In FIG. 3, the feature 301 can be coupled to spatially-barcoded capture probes, wherein the spatially-barcoded probes of a particular feature can possess the same spatial barcode, but have different capture domains designed to associate the spatial barcode of the feature with more than one target analyte. For example, a feature may be coupled to four different types of spatially-barcoded capture probes, each type of spatially-barcoded capture probe possessing the spatial barcode 302. One type of capture probe associated with the feature includes the spatial barcode 302 in combination with a poly(T) capture domain 303, designed to capture mRNA target analytes. A second type of capture probe associated with the feature includes the spatial barcode 302 in combination with a random N-mer capture domain 304 for gDNA analysis. A third type of capture probe associated with the feature includes the spatial barcode 302 in combination with a capture domain complementary to a capture handle sequence of an analyte capture agent of interest 305. A fourth type of capture probe associated with the feature includes the spatial barcode 302 in combination with a capture domain that can specifically bind a nucleic acid molecule 306 that can function in a CRISPR assay (e.g., CRISPR/Cas9). While only four different capture probe-barcoded constructs are shown in FIG. 3, capture-probe barcoded constructs can be tailored for analyses of any given analyte associated with a nucleic acid and capable of binding with such a construct. For example, the schemes shown in FIG. 3 can also be used for concurrent analysis of other analytes disclosed herein, including, but not limited to: (a) mRNA, a lineage tracing construct, cell surface or intracellular proteins and metabolites, and gDNA; (b) mRNA, accessible chromatin (e.g., ATAC-seq, DNase-seq, and/or MNase-seq) cell surface or intracellular proteins and metabolites, and a perturbation agent (e.g., a CRISPR crRNA/sgRNA, TALEN, zinc finger nuclease, and/or antisense oligonucleotide as described herein); (c) mRNA, cell surface or intracellular proteins and/or metabolites, a barcoded labelling agent (e.g., the MHC multimers described herein), and a V(D)J sequence of an immune cell receptor (e.g., T-cell receptor). In some embodiments, a perturbation agent can be a small molecule, an antibody, a drug, an aptamer, a miRNA, a physical environmental (e.g., temperature change), or any other known perturbation agents. See, e.g., Section (II)(b) (e.g., subsections (i)-(vi)) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Generation of capture probes can be achieved by any appropriate method, including those described in Section (II)(d)(ii) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.


In some embodiments, more than one analyte type (e.g., nucleic acids and proteins) from a biological sample can be detected (e.g., simultaneously or sequentially) using any appropriate multiplexing technique, such as those described in Section (IV) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.


In some embodiments, detection of one or more analytes (e.g., protein analytes) can be performed using one or more analyte capture agents. As used herein, an “analyte capture agent” refers to an agent that interacts with an analyte (e.g., an analyte in a biological sample) and with a capture probe (e.g., a capture probe attached to a substrate or a feature) to identify the analyte. In some embodiments, the analyte capture agent includes: (i) an analyte binding moiety (e.g., that binds to an analyte), for example, an antibody or antigen-binding fragment thereof; (ii) analyte binding moiety barcode; and (iii) a capture handle sequence. As used herein, the term “analyte binding moiety barcode” refers to a barcode that is associated with or otherwise identifies the analyte binding moiety. As used herein, the term “analyte capture sequence” or “capture handle sequence” refers to a region or moiety configured to hybridize to, bind to, couple to, or otherwise interact with a capture domain of a capture probe. In some embodiments, a capture handle sequence is complementary to a capture domain of a capture probe. In some cases, an analyte binding moiety barcode (or portion thereof) may be able to be removed (e.g., cleaved) from the analyte capture agent.



FIG. 4 is a schematic diagram of an exemplary analyte capture agent 402 comprised of an analyte-binding moiety 404 and an analyte-binding moiety barcode domain 408. The exemplary analyte-binding moiety 404 is a molecule capable of binding to an analyte 406 and the analyte capture agent is capable of interacting with a spatially-barcoded capture probe. The analyte-binding moiety can bind to the analyte 406 with high affinity and/or with high specificity. The analyte capture agent can include an analyte-binding moiety barcode domain 408, a nucleotide sequence (e.g., an oligonucleotide), which can hybridize to at least a portion or an entirety of a capture domain of a capture probe. The analyte-binding moiety barcode domain 408 can comprise an analyte binding moiety barcode and a capture handle sequence described herein. The analyte-binding moiety 404 can include a polypeptide and/or an aptamer. The analyte-binding moiety 404 can include an antibody or antibody fragment (e.g., an antigen-binding fragment).



FIG. 5 is a schematic diagram depicting an exemplary interaction between a feature-immobilized capture probe 524 and an analyte capture agent 526. The feature-immobilized capture probe 524 can include a spatial barcode 508 as well as functional sequences 506 and a UMI 510, as described elsewhere herein. The capture probe can also include a capture domain 512 that is capable of binding to an analyte capture agent 526. The analyte capture agent 526 can include a functional sequence 518, analyte binding moiety barcode 516, and a capture handle sequence 514 that is capable of binding to the capture domain 512 of the capture probe 524. The analyte capture agent can also include a linker 520 that allows the analyte binding moiety barcode domain 516 to couple to the analyte binding moiety 522.



FIGS. 6A, 6B, and 6C are schematics illustrating how streptavidin cell tags can be utilized in an array-based system to produce a spatially-barcoded cell or cellular contents. For example, as shown in FIG. 6A, peptide-bound major histocompatibility complex (MHC) can be individually associated with biotin (β2m) and bound to a streptavidin moiety such that the streptavidin moiety comprises multiple pMHC moieties. Each of these moieties can bind to a TCR such that the streptavidin binds to a target T-cell via multiple MCH/TCR binding interactions. Multiple interactions synergize and can substantially improve binding affinity. Such improved affinity can improve labelling of T-cells and also reduce the likelihood that labels will dissociate from T-cell surfaces. As shown in FIG. 6B, a capture agent barcode domain 601 can be modified with streptavidin 602 and contacted with multiple molecules of biotinylated MHC 603 such that the biotinylated MHC 603 molecules are coupled with the streptavidin conjugated capture agent barcode domain 601. The result is a barcoded MHC multimer complex 605. As shown in FIG. 6B, the capture agent barcode domain sequence 601 can identify the MHC as its associated label and also includes optional functional sequences such as sequences for hybridization with other oligonucleotides. As shown in FIG. 6C, one example oligonucleotide is capture probe 606 that comprises a complementary sequence (e.g., rGrGrG corresponding to C C C), a barcode sequence and other functional sequences, such as, for example, a UMI, an adapter sequence (e.g., comprising a sequencing primer sequence (e.g., R1 or a partial R1 (“pR1”), R2), a flow cell attachment sequence (e.g., P5 or P7 or partial sequences thereof)), etc. In some cases, capture probe 606 may at first be associated with a feature (e.g., a gel bead) and released from the feature. In other embodiments, capture probe 606 can hybridize with a capture agent barcode domain 601 of the MHC-oligonucleotide complex 605. The hybridized oligonucleotides (Spacer C C C and Spacer rGrGrG) can then be extended in primer extension reactions such that constructs comprising sequences that correspond to each of the two spatial barcode sequences (the spatial barcode associated with the capture probe, and the barcode associated with the MHC-oligonucleotide complex) are generated. In some cases, one or both of these corresponding sequences may be a complement of the original sequence in capture probe 606 or capture agent barcode domain 601. In other embodiments, the capture probe and the capture agent barcode domain are ligated together. The resulting constructs can be optionally further processed (e.g., to add any additional sequences and/or for clean-up) and subjected to sequencing. As described elsewhere herein, a sequence derived from the capture probe 606 spatial barcode sequence may be used to identify a feature and the sequence derived from spatial barcode sequence on the capture agent barcode domain 601 may be used to identify the particular peptide MHC complex 604 bound on the surface of the cell (e.g., when using MHC-peptide libraries for screening immune cells or immune cell populations).


Additional description of analyte capture agents can be found in Section (II)(b)(ix) of WO 2020/176788 and/or Section (II)(b)(viii) U.S. Patent Application Publication No. 2020/0277663.


There are at least two methods to associate a spatial barcode with one or more neighboring cells, such that the spatial barcode identifies the one or more cells, and/or contents of the one or more cells, as associated with a particular spatial location. One method is to promote analytes or analyte proxies (e.g., intermediate agents) out of a cell and towards a spatially-barcoded array (e.g., including spatially-barcoded capture probes). Another method is to cleave spatially-barcoded capture probes from an array and promote the spatially-barcoded capture probes towards and/or into or onto the biological sample.


In some cases, capture probes may be configured to prime, replicate, and consequently yield optionally barcoded extension products from a template (e.g., a DNA or RNA template, such as an analyte or an intermediate agent (e.g., a connected probe (e.g., a ligation product) or an analyte capture agent), or a portion thereof), or derivatives thereof (see, e.g., Section (II)(b)(vii) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663 regarding extended capture probes). In some cases, capture probes may be configured to form a connected probe (e.g., a ligation product) with a template (e.g., a DNA or RNA template, such as an analyte or an intermediate agent, or portion thereof), thereby creating ligation products that serve as proxies for a template.


As used herein, an “extended capture probe” refers to a capture probe having additional nucleotides added to the terminus (e.g., 3′ or 5′ end) of the capture probe thereby extending the overall length of the capture probe. For example, an “extended 3′ end” indicates additional nucleotides were added to the most 3′ nucleotide of the capture probe to extend the length of the capture probe, for example, by polymerization reactions used to extend nucleic acid molecules including templated polymerization catalyzed by a polymerase (e.g., a DNA polymerase or a reverse transcriptase). In some embodiments, extending the capture probe includes adding to a 3′ end of a capture probe a nucleic acid sequence that is complementary to a nucleic acid sequence of an analyte or intermediate agent bound to the capture domain of the capture probe. In some embodiments, the capture probe is extended using reverse transcription. In some embodiments, the capture probe is extended using one or more DNA polymerases. The extended capture probes include the sequence of the capture probe and the sequence of the spatial barcode of the capture probe.


In some embodiments, extended capture probes are amplified (e.g., in bulk solution or on the array) to yield quantities that are sufficient for downstream analysis, e.g., via DNA sequencing. In some embodiments, extended capture probes (e.g., DNA molecules) act as templates for an amplification reaction (e.g., a polymerase chain reaction).


Additional variants of spatial analysis methods, including in some embodiments, an imaging step, are described in Section (II)(a) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Analysis of captured analytes (and/or intermediate agents or portions thereof), for example, including sample removal, extension of capture probes, sequencing (e.g., of a cleaved extended capture probe and/or a cDNA molecule complementary to an extended capture probe), sequencing on the array (e.g., using, for example, in situ hybridization or in situ ligation approaches), temporal analysis, and/or proximity capture, is described in Section (II)(g) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Some quality control measures are described in Section (II)(h) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.


Spatial information can provide information of biological and/or medical importance. For example, the methods and compositions described herein can allow for: identification of one or more biomarkers (e.g., diagnostic, prognostic, and/or for determination of efficacy of a treatment) of a disease or disorder; identification of a candidate drug target for treatment of a disease or disorder; identification (e.g., diagnosis) of a subject as having a disease or disorder; identification of stage and/or prognosis of a disease or disorder in a subject; identification of a subject as having an increased likelihood of developing a disease or disorder; monitoring of progression of a disease or disorder in a subject; determination of efficacy of a treatment of a disease or disorder in a subject; identification of a patient subpopulation for which a treatment is effective for a disease or disorder; modification of a treatment of a subject with a disease or disorder; selection of a subject for participation in a clinical trial; and/or selection of a treatment for a subject with a disease or disorder.


Spatial information can provide information of biological importance. For example, the methods and compositions described herein can allow for: identification of transcriptome and/or proteome expression profiles (e.g., in healthy and/or diseased tissue); identification of multiple analyte types in close proximity (e.g., nearest neighbor analysis); determination of up- and/or down-regulated genes and/or proteins in diseased tissue; characterization of tumor microenvironments; characterization of tumor immune responses; characterization of cells types and their co-localization in tissue; and identification of genetic variants within tissues (e.g., based on gene and/or protein expression profiles associated with specific disease or disorder biomarkers).


Typically, for spatial array-based methods, a substrate functions as a support for direct or indirect attachment of capture probes to features of the array. A “feature” is an entity that acts as a support or repository for various molecular entities used in spatial analysis. In some embodiments, some or all of the features in an array are functionalized for analyte capture. Exemplary substrates are described in Section (II)(c) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Exemplary features and geometric attributes of an array can be found in Sections (II)(d)(i), (II)(d)(iii), and (II)(d)(iv) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.


Generally, analytes and/or intermediate agents (or portions thereof) can be captured when contacting a biological sample with a substrate including capture probes (e.g., a substrate with capture probes embedded, spotted, printed, fabricated on the substrate, or a substrate with features (e.g., beads, wells) comprising capture probes). As used herein, “contact,” “contacted,” and/or “contacting,” a biological sample with a substrate refers to any contact (e.g., direct or indirect) such that capture probes can interact (e.g., bind covalently or non-covalently (e.g., hybridize)) with analytes from the biological sample. Capture can be achieved actively (e.g., using electrophoresis) or passively (e.g., using diffusion). Analyte capture is further described in Section (II)(e) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.


In some cases, spatial analysis can be performed by attaching and/or introducing a molecule (e.g., a peptide, a lipid, or a nucleic acid molecule) having a barcode (e.g., a spatial barcode) to a biological sample (e.g., to a cell in a biological sample). In some embodiments, a plurality of molecules (e.g., a plurality of nucleic acid molecules) having a plurality of barcodes (e.g., a plurality of spatial barcodes) are introduced to a biological sample (e.g., to a plurality of cells in a biological sample) for use in spatial analysis. In some embodiments, after attaching and/or introducing a molecule having a barcode to a biological sample, the biological sample can be physically separated (e.g., dissociated) into single cells or cell groups for analysis. Some such methods of spatial analysis are described in Section (III) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.


In some cases, spatial analysis can be performed by detecting multiple oligonucleotides that hybridize to an analyte. In some instances, for example, spatial analysis can be performed using RNA-templated ligation (RTL). Methods of RTL have been described previously. See, e.g., Credle et al., Nucleic Acids Res. 2017 Aug. 21; 45(14):e128. Typically, RTL includes hybridization of two oligonucleotides to adjacent sequences on an analyte (e.g., an RNA molecule, such as an mRNA molecule). In some instances, the oligonucleotides are DNA molecules. In some instances, one of the oligonucleotides includes at least two ribonucleic acid bases at the 3′ end and/or the other oligonucleotide includes a phosphorylated nucleotide at the end. In some instances, one of the two oligonucleotides includes a capture domain (e.g., a poly(A) sequence, a non-homopolymeric sequence). After hybridization to the analyte, a ligase (e.g., SplintR ligase) ligates the two oligonucleotides together, creating a connected probe (e.g., a ligation product). In some instances, the two oligonucleotides hybridize to sequences that are not adjacent to one another. For example, hybridization of the two oligonucleotides creates a gap between the hybridized oligonucleotides. In some instances, a polymerase (e.g., a DNA polymerase) can extend one of the oligonucleotides prior to ligation. After ligation, the connected probe (e.g., a ligation product) is released from the analyte. In some instances, the connected probe (e.g., a ligation product) is released using an endonuclease (e.g., RNAse H). The released connected probe (e.g., a ligation product) can then be captured by capture probes (e.g., instead of direct capture of an analyte) on an array, optionally amplified, and sequenced, thus determining the location and optionally the abundance of the analyte in the biological sample.


During analysis of spatial information, sequence information for a spatial barcode associated with an analyte is obtained, and the sequence information can be used to provide information about the spatial distribution of the analyte in the biological sample. Various methods can be used to obtain the spatial information. In some embodiments, specific capture probes and the analytes they capture are associated with specific locations in an array of features on a substrate. For example, specific spatial barcodes can be associated with specific array locations prior to array fabrication, and the sequences of the spatial barcodes can be stored (e.g., in a database) along with specific array location information, so that each spatial barcode uniquely maps to a particular array location.


Alternatively, specific spatial barcodes can be deposited at predetermined locations in an array of features during fabrication such that at each location, only one type of spatial barcode is present so that spatial barcodes are uniquely associated with a single feature of the array. Where necessary, the arrays can be decoded using any of the methods described herein so that spatial barcodes are uniquely associated with array feature locations, and this mapping can be stored as described above.


When sequence information is obtained for capture probes and/or analytes during analysis of spatial information, the locations of the capture probes and/or analytes can be determined by referring to the stored information that uniquely associates each spatial barcode with an array feature location. In this manner, specific capture probes and captured analytes are associated with specific locations in the array of features. Each array feature location represents a position relative to a coordinate reference point (e.g., an array location, a fiducial marker) for the array. Accordingly, each feature location has an “address” or location in the coordinate space of the array.


Some exemplary spatial analysis workflows are described in the Exemplary Embodiments section of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. See, for example, the Exemplary embodiment starting with “In some non-limiting examples of the workflows described herein, the sample can be immersed . . . ” of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. See also, e.g., the Visium Spatial Gene Expression Reagent Kits User Guide (e.g., Rev C, dated June 2020), and/or the Visium Spatial Tissue Optimization Reagent Kits User Guide (e.g., Rev C, dated July 2020).


In some embodiments, spatial analysis can be performed using dedicated hardware and/or software, such as any of the systems described in Sections (II)(e)(ii) and/or (V) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663, or any of one or more of the devices or methods described in Sections Control Slide for Imaging, Methods of Using Control Slides and Substrates for, Systems of Using Control Slides and Substrates for Imaging, and/or Sample and Array Alignment Devices and Methods, Informational labels of WO 2020/123320.


Suitable systems for performing spatial analysis can include components such as a chamber (e.g., a flow cell or sealable, fluid-tight chamber) for containing a biological sample. The biological sample can be mounted for example, in a biological sample holder. One or more fluid chambers can be connected to the chamber and/or the sample holder via fluid conduits, and fluids can be delivered into the chamber and/or sample holder via fluidic pumps, vacuum sources, or other devices coupled to the fluid conduits that create a pressure gradient to drive fluid flow. One or more valves can also be connected to fluid conduits to regulate the flow of reagents from reservoirs to the chamber and/or sample holder.


The systems can optionally include a control unit that includes one or more electronic processors, an input interface, an output interface (such as a display), and a storage unit (e.g., a solid state storage medium such as, but not limited to, a magnetic, optical, or other solid state, persistent, writeable and/or re-writeable storage medium). The control unit can optionally be connected to one or more remote devices via a network. The control unit (and components thereof) can generally perform any of the steps and functions described herein. Where the system is connected to a remote device, the remote device (or devices) can perform any of the steps or features described herein. The systems can optionally include one or more detectors (e.g., CCD, CMOS) used to capture images. The systems can also optionally include one or more light sources (e.g., LED-based, diode-based, lasers) for illuminating a sample, a substrate with features, analytes from a biological sample captured on a substrate, and various control and calibration media.


The systems can optionally include software instructions encoded and/or implemented in one or more of tangible storage media and hardware components such as application specific integrated circuits. The software instructions, when executed by a control unit (and in particular, an electronic processor) or an integrated circuit, can cause the control unit, integrated circuit, or other component executing the software instructions to perform any of the method steps or functions described herein.


In some cases, the systems described herein can detect (e.g., register an image) the biological sample on the array. Exemplary methods to detect the biological sample on an array are described in PCT Application No. 2020/061064 and/or U.S. patent application Ser. No. 16/951,854.


Prior to transferring analytes from the biological sample to the array of features on the substrate, the biological sample can be aligned with the array. Alignment of a biological sample and an array of features including capture probes can facilitate spatial analysis, which can be used to detect differences in analyte presence and/or level within different positions in the biological sample, for example, to generate a three-dimensional map of the analyte presence and/or level. Exemplary methods to generate a two- and/or three-dimensional map of the analyte presence and/or level are described in PCT Application No. 2020/053655 and spatial analysis methods are generally described in WO 2020/061108 and/or U.S. patent application Ser. No. 16/951,864.


In some cases, a map of analyte presence and/or level can be aligned to an image of a biological sample using one or more fiducial markers, e.g., objects placed in the field of view of an imaging system which appear in the image produced, as described in the Substrate Attributes Section, Control Slide for Imaging Section of WO 2020/123320, PCT Application No. 2020/061066, and/or U.S. patent application Ser. No. 16/951,843. Fiducial markers can be used as a point of reference or measurement scale for alignment (e.g., to align a sample and an array, to align two substrates, to determine a location of a sample or array on a substrate relative to a fiducial marker) and/or for quantitative measurements of sizes and/or distances.


The sandwich process is described in PCT Patent Application Publication No. WO 2020/123320, which is incorporated by reference in its entirety.


II. Compositions for Copying of Captured Analytes or Analyte Derivatives


Provided herein are methods and compositions for increasing the efficiency of spatial detection of one or more analytes (i.e., a nucleic acid or a non-nucleic acid). In order to determine the abundance and the location of an analyte in a biological sample, a user performs an amplification or copying (e.g., reverse transcription) process after an analyte is captured by a capture probe. A primer sequence is usually included in part of the capture probe, and sometimes the primer sequence and the capture domain sequence function for both analyte binding and for priming the amplification or copying process. Thus, in order to increase efficiency of the copying process, disclosed herein are compositions and methods that utilize an adjacent oligonucleotide (e.g., a “bridging oligonucleotide”) that can hybridize to the capture probe and facilitate copying of the captured analyte.


Provided herein are methods of determining abundance and location of an analyte in a biological sample, the method comprising (a) contacting a biological sample with a substrate comprising a plurality of capture probes, wherein a capture probe in the plurality of capture probes comprises a capture domain and a spatial barcode; (b) hybridizing the analyte to the capture domain, thereby generating a capture analyte; and (c) contacting the captured analyte to a bridging oligonucleotide, wherein the bridging oligonucleotide comprises (i) a capture-probe-binding sequence, and (ii) an analyte-binding sequence; (d) extending the bridging oligonucleotide using the analyte as a template to generate an extended capture probe comprising (i) the analyte, or a complement thereof, and (ii) the spatial barcode or a complement thereof; and (e) determining (i) all or a part of the sequence of the analyte, or a complement thereof, and (ii) all or a part of the sequence of the spatial barcode, or a complement thereof, and using the determined sequence of (i) and (ii) to determine the abundance and the location of the analyte in the biological sample.


The methods provided herein also include methods for performing reverse transcription on biological analytes (e.g., mRNA) captured on a substrate (e.g., capture probe array). Further provided are methods for using bridging oligonucleotides for capturing and hybridizing a biological analyte (e.g., mRNA) that is captured by a capture probe on the substrate. In some embodiments, the bridging oligonucleotide comprises a capture-probe-binding sequence, a flexible arm, an analyte-binding sequence, and an annealing sequence. In some embodiments, the bridging oligonucleotide further comprises at least one, at least two, at least three, at least four, or at least five, or more barcode sequences.


Additional embodiments of the disclosure are further provided.


(a) Bridging Oligonucleotides


Disclosed herein are compositions and methods of detecting and amplifying a biological analyte using a bridging oligonucleotide. A “bridging oligonucleotide” refers to a nucleic acid sequence that aids in amplification priming the analyte for copying or amplification. In some instances, the bridging oligonucleotide comprises a 3′-OH end that is used as a primer for starting the reverse transcription of an mRNA captured by a different adjacent oligonucleotide (e.g., a poly(T) sequence). In some embodiments, the bridging oligonucleotide is an RNA molecule. In some embodiments, the bridging oligonucleotide is a DNA molecule.


In some embodiments, the bridging oligonucleotide includes a capture-probe-binding sequence, a flexible arm, an analyte-binding sequence, an annealing sequence, and any combination thereof. In some embodiments, a bridging oligonucleotide includes a sequence that is at about 5 nucleotides to about 150 nucleotides (e.g., about 5, about 10, about 15, about 20, about 25, about 30, about 35, about 40, about 45, about 50, about 55, about 60, about 65, about 70, about 75, about 80, about 85, about 90, about 95, about 100, about 105, about 110, about 115, about 120, about 125, about 130, about 135, about 140, about 145, or about 150 nucleotides) in length.


In some embodiments, the capture-probe-binding sequence of the bridging oligonucleotide is a nucleic acid sequence that hybridizes to a capture probe on an array. In some instances, the capture-probe-binding sequence hybridizes to the spatial barcode sequence of the probe. In some embodiments, the capture-probe-binding sequence is located at the 5′ end of the bridging oligonucleotide. In some instances, the capture-probe-binding sequence is located at the 3′ end of the bridging oligonucleotide.


In some embodiments, the capture-probe-binding sequence is at least 70% identical (e.g., at least 75% identical, at least 80% identical, at least 85% identical, at least 90% identical, at least 95% identical, or at least 99% identical) to a portion of the capture probe. In some embodiments, the capture-probe-binding sequence is at least 100% identical to a portion of the capture probe. In some embodiments, the capture-probe-binding sequence is about 5 nucleotides to about 50 nucleotides (e.g., about 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, or 50 nucleotides) in length.


In some embodiments, a bridging oligonucleotide includes a flexible arm. A flexible arm is a nucleic acid sequence that allows the bridging oligonucleotide to extend its reach to adjacent mRNAs. In some embodiments, the flexible arm includes a sequence of nucleotides, including a 1-mer, 2-mer, 3-mer or longer sequence. In some embodiments, the flexible arm can be a poly(A) sequence. In some embodiments, the flexible arm can be a poly(T) sequence. In some embodiments, the flexible arm can be a chemical group. In some embodiments, and without limitation, a chemical group can be one or more of a hydroxyl group, an amine group, a functional amine group, a chemically modified amine group. In some embodiments, the flexible arm 5 nucleotides to about 50 nucleotides (e.g., about 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, or 50 nucleotides) in length.


In some embodiments, a bridging oligonucleotide includes an analyte-binding sequence. An analyte-binding sequence is a nucleic acid sequence that hybridizes to an analyte. In some instances, the analyte-binding sequence is a sequence that hybridizes to a target sequence within the target mRNA. In some embodiments, the bridging oligonucleotide includes a sequence-specific target-binding sequence. For example, the bridging oligonucleotide can be capable of binding selectively to a desired sub-type of nucleic acid molecule (e.g. mRNA, rRNA, tRNA, SRP RNA, tmRNA, snRNA, snoRNA, SmY RNA, scaRNA, gRNA, RNase P, RNase MRP, TERC, SL RNA, aRNA, cis-NAT, crRNA, lncRNA, miRNA, piRNA, siRNA, shRNA, tasiRNA, rasiRNA, 7SK, eRNA, ncRNA or other types of RNA). In some embodiments, the analyte-binding sequence hybridizes to an mRNA analyte.


In some embodiments, the analyte-binding sequence is at least 70% identical (e.g., at least 75% identical, at least 80% identical, at least 85% identical, at least 90% identical, at least 95% identical, or at least 99% identical) to a portion of an analyte. In some embodiments, the analyte-binding sequence is at least 100% identical to a portion of the analyte. In some embodiments, the analyte-binding sequence is about 5 nucleotides to about 50 nucleotides (e.g., about 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, or 50 nucleotides) in length.


In some embodiments, a bridging oligonucleotide includes an annealing sequence. An annealing sequence is a nucleic acid sequence that is designed to ensure that it anneals to the adjacent mRNA. In some embodiments, the annealing sequence serves as a primer for reverse-transcription of the analyte. In some embodiments, the annealing sequence is 3′ to the flexible arm. In some embodiments, the annealing sequence includes a sequence of nucleotides, including a 1-mer, 2-mer, 3-mer or longer sequence. In some embodiments, the annealing sequence can be a sequence of VNN sequence (V is A, C or G and N is any nucleotide (e.g., A, C, G, T, U)) that will anneal to the adjacent mRNA. In some embodiments, the flexible arm can be designed using a specific sequence of nucleotides.


In some instances, the bridging oligonucleotide further comprises a primer sequence at its 5′ end. In this instance, the primer can be used for reverse transcription that results in a copied sequence that includes the entire bridging oligonucleotide (i.e., any of the components described above) and a complement of the analyte, or a portion thereof.


In some embodiments, the bridging oligonucleotide includes, in order from 5′ to 3′, a capture-probe-binding sequence, a flexible arm, an analyte-binding sequence, and an annealing sequence. In some embodiments, the bridging oligonucleotide includes, in order from 5′ to 3′, an annealing sequence, a capture-probe-binding sequence, a flexible arm, and an analyte-binding sequence. It is appreciated that the annealing sequence can be located anywhere on the bridging oligonucleotide. In other words, some embodiments include reordering the 5′ to 3′ sequence order of the capture-probe-binding sequence, a flexible arm, an analyte-binding sequence, and an annealing sequence.


Referring to FIG. 7, the method herein includes a substrate 701 that has a plurality of capture probes thereon, with a capture probe 702 having a capture domain 703 and 706 and a bridging oligonucleotide complementary sequence 705. In some instances, the bridging oligonucleotide complementary sequence 705 includes a spatial barcode. After hybridization of an analyte 708 (or 710) to the capture domain 703 (or 706) via e.g., a poly(A) tail 709 (or 711), a bridging oligonucleotide comprising a capture-probe-binding sequence 714 and an analyte-binding sequence 712 is added to the substrate. In some instances, the bridging oligonucleotide also includes a flexible arm 713 that allows for the capture-probe-binding sequence 714 and the analyte-binding sequence 712 to bind to their respective complementary sequences.


In some instances, the capture probe 702 includes multiple capture domains (e.g., 703 and 706) that allow for capture of multiple analytes (e.g., 708 and 710).


In some embodiments, a bridging oligonucleotide includes optional functional sequences, such as, without limitation, a PCR handle, a sequencing priming site, a domain for hybridizing to another nucleic acid molecule, and combinations thereof. In some embodiments, a bridging oligonucleotide includes one or more optional sequences and/or one of more barcode sequences (e.g., one or more spatial barcodes and/or one or more UMIs). In some embodiments, the one or more barcode sequences can be ligated to the bridging oligonucleotide for further processing by methods for spatial profiling (e.g., sequencing) as described herein.


(b) Biological Samples and Analytes


Methods disclosed herein can be performed on any type of sample. In some embodiments, the sample is a fresh tissue. In some instances, the biological sample is a tissue, a tissue section, an organ, an organism, or a cell culture sample. In some instances, the biological sample is a formalin-fixed, paraffin-embedded (FFPE) sample, a frozen sample, or a fresh sample.


In some embodiments, the analyte includes one or more of RNA, DNA, a protein, a small molecule, and a metabolite. In some embodiments, the analyte (e.g., target analyte) is a single-stranded oligonucleotide. In some embodiments, the single-stranded oligonucleotide is RNA. In some embodiments, the RNA is mRNA. In some embodiments, the mRNA is an mRNA of interest. In some embodiments, the multiple target analytes are detected. The multiple targets can, in some instances, include sequences that have at least 80%, at least 85%, at least 90%, at least 91%, at least 92%, at least 93%, at least 94%, at least 95%, at least 96%, at least 97%, at least 98%, or at least 99% sequence identity to each other. In some instances, the multiple targets each include one or more conserved sequences. In some instances, the multiple targets are mRNAs that encode for proteins that that have a similar function. In some instances, the multiple targets are mRNAs that encode for proteins that function in the same or a similar cellular pathway.


In settings where the analyte is a nucleic acid, a capture probe such as those described in FIGS. 1-3 can be used to detect the analyte. In settings where the analyte is a protein, a capture probe such as those described in FIGS. 1-3 can be used to detect the oligonucleotide affixed to the analyte binding moiety as shown in FIG. 4. Capture probes that detect nucleic acids (e.g., mRNA) and capture probes that detect oligonucleotides affixed to the analyte binding moieties are disclosed in WO 2020/176788 and U.S. Patent Application Publication No. 2020/0277663, each of which is incorporated by reference in its entirety.


Subjects from which biological samples can be obtained can be healthy or asymptomatic individuals, individuals that have or are suspected of having a disease (e.g., cancer) or a pre-disposition to a disease, and/or individuals that are in need of therapy or suspected of needing therapy. In some instances, the biological sample can include one or more diseased cells. A diseased cell can have altered metabolic properties, gene expression, protein expression, and/or morphologic features. Examples of diseases include inflammatory disorders, metabolic disorders, nervous system disorders, and cancer. In some instances, the biological sample includes cancer or tumor cells. Cancer cells can be derived from solid tumors, hematological malignancies, cell lines, or obtained as circulating tumor cells. In some instances, the biological sample is a heterogenous sample. In some instances, the biological sample is a heterogenous sample that includes tumor or cancer cells and/or stromal cells.


In some embodiments, the biological sample is from a human subject.


FFPE samples generally are heavily cross-linked and fragmented, and therefore this type of sample allows for limited RNA recovery using conventional detection techniques. In certain embodiments, methods of targeted RNA capture provided herein are less affected by RNA degradation associated with FFPE fixation than other methods (e.g., methods that take advantage of oligo-dT capture and reverse transcription of mRNA). In certain embodiments, methods provided herein enable sensitive measurement of specific genes of interest that otherwise might be missed with a whole transcriptomic approach.


In some instances, FFPE samples are stained (e.g., using H&E or immunofluorescence). The methods disclosed herein are compatible with H&E and IF will allow for morphological context overlaid with transcriptomic analysis. However, depending on the need some samples may be stained with only a nuclear stain, such as staining a sample with only hematoxylin and not eosin, or DAPI, etc. when location of a cell nucleus is needed.


In some embodiments, a biological sample (e.g. tissue sample section) can be fixed with methanol, stained with hematoxylin and eosin, and imaged. In some embodiments, fixing, staining, and imaging occurs before one or more probes are hybridized to the sample. Some embodiments of any of the workflows described herein can further include a destaining step (e.g., a hematoxylin and eosin destaining step), after imaging of the sample and prior to permeabilizing the sample. For example, destaining can be performed by performing one or more (e.g., one, two, three, four, or five) washing steps (e.g., one or more (e.g., one, two, three, four, or five) washing steps performed using a buffer including HCl). The images can be used to map spatial gene expression patterns back to the biological sample. A permeabilization enzyme can be used to permeabilize the biological sample directly on the slide.


In some embodiments, the FFPE sample is deparaffinized, permeabilized, equilibrated, and blocked before target probe oligonucleotides are added. In some embodiments, deparaffinization can include the use of xylenes. In some embodiments, deparaffinization includes multiple washes with xylenes. In some embodiments, deparaffinization includes multiple washes with xylenes followed by removal of xylenes using multiple rounds of graded alcohol washes followed by washing the sample with water. In some aspects, the water is deionized water. In some embodiments, equilibrating and blocking includes incubating the sample in a pre-Hyb buffer. In some embodiments, the pre-Hyb buffer includes yeast tRNA. In some embodiments, permeabilizing a sample includes washing the sample with a phosphate buffer. In some embodiments, the buffer is PBS. In some embodiments, the buffer is PBST.


(c) Substrates and Capture Probes


In some embodiments, disclosed herein are methods that include any of the arrays (e.g., substrate) as described in this application. In some embodiments, the substrate can include any bead or plurality of beads as disclosed herein. In some embodiments, a plurality of capture probes is tethered to the surface of an array. In some embodiments, the probes in the plurality are oligonucleotides. In some embodiments, the oligonucleotide is single-stranded.


In some aspects, arrays include a plurality of capture probes that bind to one or more biological targets in a sample. The capture probes can be directly or indirectly attached to a substrate. The capture probe can be or include, for example, DNA or RNA. In some aspects, the capture probes on an array can be immobilized, e.g., attached or bound, to the array via their 5′ or 3′ ends, depending on the chemical matrix of the array. In some aspects, the probes are attached via a 3′ linkage, thereby leaving a free 5′ end. In some aspects, the probes are attached via a 5′ linkage, thereby leaving a free 3′ end. In some aspects, the probes are immobilized indirectly. For example, a probe can be attached to a bead, which bead can be deposited on a substrate. A capture probe as disclosed in this section can include any of the various components of a capture probe as provided throughout this disclosure (e.g., spatial barcodes, UMIs, functional domains, cleavage domains, etc.).


In some aspects, a capture probe or plurality of capture probes interact with an analyte specific for a particular species or organism (e.g., host or pathogen). In some aspects, the probe or plurality of probes can be used to detect a viral, bacterial, or plant protein or nucleic acid. In some aspects, the capture probe or plurality of capture probes can be used to detect the presence of a pathogen (e.g., bacteria or virus) in the biological sample. In some aspects, the capture probe or plurality of capture probes can be used to detect the expression of a particular nucleic acid associated with a pathogen (e.g., presence of 16S ribosomal RNA or Human Immunodeficiency Virus (HIV) RNA in a human sample).


In some embodiments, a capture probe in the plurality of capture probes includes a capture domain sequence. In some embodiments, the capture probe includes more than one capture domain sequence. For example, in some embodiments, the capture probe includes at least 2, at least 3, at least 4, or at least five capture probe domain sequences. In some embodiments, there are the same number of capture probe domain sequences in each of the probes on an array. In some embodiments, the capture probe domain sequences in each of the probes varies among the probes in the plurality.


In some embodiments, the capture domain is designed to detect one or more specific analytes of interest. For example, a capture domain can be designed so that it comprises a sequence that is complementary or substantially complementary to one analyte of interest. Thus, the presence of a single analyte can be detected. Alternatively, the capture domain can be designed so that it comprises a sequence that is complementary or substantially complementary to a conserved region of multiple related analytes. In some instances, the multiple related analytes are analytes that function in the same or similar cellular pathways or that have conserved homology and/or function. The design of the capture probe can be determined based on the intent of the user and can be any sequence that can be used to detect an analyte of interest. In some embodiments, the capture domain sequence can therefore be random, semi-random, defined or combinations thereof, depending on the target analyte(s) of interest.


In some embodiments, the capture domain includes a poly(T) sequence that allows a poly(A) sequence of an mRNA transcript to hybridize to the probe. In some embodiments, there is one poly(T) sequence on a probe. In some embodiments, there are at least two, at least three, at least four, at least five, or more poly(T) sequences on an individual probe in a plurality of probes. In some embodiments, there are the same number of poly(T) sequences in each of the probes on an array. In some embodiments, the number of poly(T) sequences in each of the probes varies among the probes in the plurality.


In some instances, a probe in the plurality includes a sequence that is complementary to the sequence of a particular target of interest. In some embodiments, a capture probe includes a capture domain that is capable of binding to one analyte. In some embodiments, a capture domain can bind to an analyte that is about 80% identical, about 85% identical, about 90% identical, about 95% identical, about 96% identical, about 97% identical, about 98% identical, about 99% identical, 100% identical to the target analyte. In some embodiments, a capture domain can bind to a conserved region of an analyte. In some embodiments, conserved regions of an analyte are about 80% identical, about 85% identical, about 90% identical, about 95% identical, about 96% identical, about 97% identical, about 98% identical, about 99% identical, 100% identical to the analyte.


In some embodiments, a capture probe includes a capture domain that is capable of binding to more than one analyte. In some embodiments, a capture domain can bind to one or more analytes that are about 80% identical, about 85% identical, about 90% identical, about 95% identical, about 96% identical, about 97% identical, about 98% identical, about 99% identical, 100% identical to an analyte of interest. In some aspects, the capture probe can bind to an analyte that is about 80% identical, about 85% identical, about 90% identical, about 95% identical, about 96% identical, about 97% identical, about 98% identical, or about 99% identical to each other. In some embodiments, a capture domain can bind to a conserved region of one or more analytes, in which the conserved regions are about 80% identical, about 85% identical, about 90% identical, about 95% identical, about 96% identical, about 97% identical, about 98% identical, about 99% identical, 100% identical to the analyte.


In some aspects, a capture probe or plurality of capture probes interacts with two or more analytes (e.g., nucleic acids or proteins) that are not similar in sequence and/or do not share a conserved domain. In some embodiments, a capture probe includes two or more capture domains, each of which interacts with a different analyte. In such embodiments, members of the two or more capture domains can be adjacent to each other in the capture probe and/or members of the two or more capture domains can be separated from each other in the capture probe by one or more domains (e.g., nucleic acid domains). For example, in some aspects, the sets of analytes that are detected include mutational changes in the targeted nucleic acids or proteins. In some aspects, the capture probe or plurality of capture probes detects sets of nucleic acids or proteins (e.g., non-homologous nucleic acids or proteins) that are individually mutated during a pathogenic state. In some aspects, the pathogenic state is cancer.


In some aspects, a capture probe or plurality of capture probes include capture domains that can be used to detect analytes that are typically detected using diagnostic panels. In some aspects, the capture probe or plurality of capture probes are used to detect changes in one or more analytes. In some aspects, the analyte changes include one or more of increased analyte expression, decreased analyte expression, mutated nucleic acid sequences, or any combination thereof. In some aspects, the changes in the analytes are associated with and/or lead to manifestation of a pathogenic state in a subject. In some aspects, the detected changes are compared to a reference analyte or analytes.


In some embodiments, the capture domain is located at the 3′ end of the capture probe. In some instances, the 3′ end of the capture probe can be extended using methods described herein. For example, the capture domain can include a nucleic acid sequence (e.g., a poly(T) sequence) that is capable of hybridizing to a poly(A) tail of an mRNA present in the biological sample.


In some embodiments, the capture domain can have a GC content between 1-100%, e.g., 1%, 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%, 35%, 40%, 45%, 50%, 60%, 70%, 80%, 90% or 100%. In some embodiments, the capture domain has a GC content of at least 30%.


In some embodiments, the probe includes a sequence for hybridization of another oligonucleotide (the “bridging oligonucleotide,” discussed below). In some instances, a probe in the plurality includes a sequence that is complementary to the sequence of the bridging oligonucleotide. In some embodiments, a capture probe can bind to a bridging oligonucleotide that is about 80% identical, about 85% identical, about 90% identical, about 95% identical, about 96% identical, about 97% identical, about 98% identical, about 99% identical, 100% identical to the bridging oligonucleotide.


In some embodiments, the section of the probe that hybridizes to the bridging oligonucleotide includes a spatial barcode sequence. In some embodiments, the section of the probe that hybridizes to the bridging oligonucleotide includes more than one spatial barcode sequence. In some embodiments, the section of the probe that hybridizes to the bridging oligonucleotide includes at least 2, at least 3 at least 4, at least 5, or more spatial barcode sequences.


(d) Systems and Kits


In some embodiments, also provided herein are systems and kits that include one or more reagents to detect one or more analytes described herein. In some instances, the system is used for spatial analysis. In some instances, the system includes a substrate comprising a plurality of capture probes, wherein a capture probe in the plurality of capture probes comprises a capture domain and a spatial barcode. In some instances, the system further includes a plurality of bridging oligonucleotides, wherein a bridging oligonucleotide in the plurality of bridging oligonucleotides comprises (i) a capture-probe-binding sequence and (ii) an analyte-binding sequence. In some instances, the bridging oligonucleotide further comprises (i) a flexible arm, and (ii) an annealing sequence comprising a functional domain, wherein the functional sequence is a primer sequence.


Also disclosed herein are kits for performing any of the disclosed methods. In some instances, the kits include (a) a substrate comprising a plurality of capture probes, wherein a capture probe in the plurality of capture probes comprises a capture domain and a spatial barcode; (b) a plurality of bridging oligonucleotides, wherein a bridging oligonucleotide in the plurality of bridging oligonucleotides comprises (i) a capture-probe-binding sequence and (ii) an analyte-binding sequence; and (c) instructions for performing the methods disclosed herein.


III. Methods for Copying of Captured Analytes or Analyte Derivatives


(a) Analyte Detection and Reverse Transcribing Captured mRNAs


Provided herein are methods for detecting, amplifying, and/or analyzing a biological analyte, e.g., mRNA, to obtain spatial information about the expression of genes in a biological sample (e.g., tissue sample). In some embodiments, disclosed herein are methods of identifying a location of an analyte within a sample. In some embodiments, disclosed herein are methods of amplifying an analyte in a biological sample.


In some instances, the methods disclosed herein use a bridging oligonucleotide. The methods provided herein are predicated on the notion that an analyte (or analyte derivative) hybridizes to a capture probe using Watson-Crick hybridization. Thus, provided herein are methods of determining the abundance and location of an analyte, wherein the analyte—or a portion thereof—hybridizes to a capture probe. It is appreciated that other means of connecting to a capture probe could be used, such as ligation. Interactions between analytes and capture probes are disclosed in WO 2020/176788 and U.S. Patent Application Publication No. 2020/0277663, each of which is incorporated by reference in its entirety.


In some instances, after a capture probe detects (e.g., hybridizes to) an analyte, a plurality of bridging oligonucleotides is provided. In some instances, a bridging oligonucleotide of the plurality hybridizes to a portion of the capture probe. In some instances, the bridging oligonucleotide hybridizes to a portion of the analyte. In some instances, a bridging oligonucleotide of the plurality hybridizes both to a portion of the capture probe and to a portion of the analyte.


In some embodiments, the methods include contacting the analyte in the biological sample with a substrate. In some instances, a capture probe of the plurality of capture probes hybridizes to an analyte. The bound nucleic acid molecule can then be correlated with a spatial barcode of the capture probe at a distinct spatial position of the substrate. In some embodiments, the nucleic acid molecule (e.g., RNA molecule) in the tissue sample, particularly mRNA is captured on a substrate. In some embodiments, the captured nucleic acid molecule, or a subset thereof, e.g., a portion of the captured nucleic acid molecule, is further analyzed, for example, by sequence analysis.


In some embodiments, the methods disclosed herein include binding of multiple analytes to the same probe at different target sites on the probe. In some embodiments, the probe includes more than one poly(T) sequence that allows more than one analyte to bind to the probe. (See e.g., FIG. 7)


In some embodiments, after hybridization of the bridging oligonucleotide, the bridging oligonucleotide is extended using the bound RNA (e.g., mRNA) as a template to obtain a DNA molecule (e.g., DNA, cDNA) using any of the extension methods described herein. In some embodiments, the step of extending the bridging oligonucleotide includes reverse transcription. In some embodiments, the step of extending the bridging oligonucleotide includes sequential ligation.


In some instances, the methods disclosed herein include reverse transcription. In some instances, reverse transcription includes extension of the bridging oligonucleotides using the analyte as a template. Reverse transcription can be catalyzed by a polymerase (e.g., a DNA polymerase or reverse transcriptase).


In some embodiments, extending the bridging oligonucleotide includes generating cDNA from the captured (hybridized) RNA. This process involves synthesis of a complementary strand of the hybridized nucleic acid, e.g., generating cDNA based on the captured RNA template (the RNA hybridized to the capture domain of the capture probe). Thus, in an initial step of extending the bridging oligonucleotide, e.g., the cDNA generation, the captured (hybridized) nucleic acid, e.g., RNA, acts as a template for the extension, e.g., reverse transcription, step.


In some embodiments, the bridging oligonucleotide is extended using reverse transcription. For example, reverse transcription includes synthesizing cDNA (complementary or copy DNA) from RNA, e.g., (messenger RNA), using a reverse transcriptase. In some embodiments, reverse transcription is performed while the tissue is still in place. Reverse transcription includes generating an analyte library, where the analyte library includes the spatial barcodes or a complement thereof from the capture probe. In some embodiments, the bridging oligonucleotide is extended using one or more DNA polymerases.


In some embodiments, the bridging oligonucleotide includes a primer for producing the complementary strand of the analyte, e.g., a primer for DNA polymerase and/or reverse transcription. The nucleic acid, e.g., DNA and/or cDNA, molecules generated by the extension reaction incorporate the sequence of the capture probe. The extension of the bridging oligonucleotide, e.g., a DNA polymerase and/or reverse transcription reaction, can be performed using a variety of suitable enzymes and protocols.


In some embodiments, a full-length DNA, e.g., cDNA, molecule is generated. In some embodiments, a “full-length” DNA molecule refers to the whole of the captured nucleic acid molecule. However, if the nucleic acid, e.g., RNA, was partially degraded in the tissue sample, then the captured nucleic acid molecules will not be the same length as the initial RNA in the tissue sample. In some embodiments, the 3′ end of the bridging oligonucleotide, e.g., first strand cDNA molecules, is modified. For example, a linker or adaptor can be ligated to the 3′ end of the extended probes. This can be achieved using single stranded ligation enzymes such as T4 RNA ligase or Circligase™ (available from Lucigen, Middleton, WI). In some embodiments, template switching oligonucleotides are used to extend cDNA in order to generate a full-length cDNA (or as close to a full-length cDNA as possible). In some embodiments, a second strand synthesis helper probe (a partially double stranded DNA molecule capable of hybridizing to the 3′ end of the extended capture probe), can be ligated to the 3′ end of the bridging oligonucleotide, e.g., first strand cDNA, molecule using a double stranded ligation enzyme such as T4 DNA ligase. Other enzymes appropriate for the ligation step are known in the art and include, e.g., Tth DNA ligase, Taq DNA ligase, Thermococcus sp. (strain 9oN) DNA ligase (9oN™ DNA ligase, New England Biolabs), Ampligase™ (available from Lucigen, Middleton, WI), and SplintR (available from New England Biolabs, Ipswich, MA). In some embodiments, a polynucleotide tail, e.g., a poly(A) tail, is incorporated at the 3′ end of the extended probe molecules. In some embodiments, the polynucleotide tail is incorporated using a terminal transferase active enzyme.


In some embodiments the hybridized bridging oligonucleotide/mRNA analyte/probe product is reverse transcribed. In some embodiments, reverse transcription uses one or more primer sequences from the bridging oligonucleotide. In some embodiments, a 3′OH is used for starting reverse transcription. In some embodiments, reverse transcription is performed while the biological sample is still in place, generating an analyte library, where the analyte library includes the spatial barcodes from the capture probes. The reverse transcription reaction and extension of the capture probe and/or bridging oligonucleotide can be performed using a variety of suitable enzymes and protocols described herein.


In some embodiments, the hybridized bridging oligonucleotide/mRNA analyte/probe product is amplified using any of the amplification methods described herein. In some embodiments, the reverse transcriptase product is amplified using any of the amplification methods described herein.


Referring to FIG. 8A, the method herein includes a substrate 801 that has a plurality of capture probes thereon, with a capture probe 802 having a capture domain 803 and 806 and a bridging oligonucleotide complementary sequence 805, wherein the bridging oligonucleotide complementary sequence 805 includes a spatial barcode. After hybridization of an analyte 808 to the capture domain 803 via e.g, a poly(A) tail 809, a bridging oligonucleotide comprising a spatial barcode 810 is added to the substrate. In some instances, a plurality of second oligonucleotides is added with the bridging oligonucleotides. In some instances, a second oligonucleotide is a primer sequence 811 that can hybridize to the capture probe.


The length and sequence of the primer can be designed by one skilled in the art so that it is specific to the capture probe (i.e., so that it does not cross-react with, for example, a sequence of the biological sample's genome). In some embodiments, the primer 811 can include a poly(A) sequence.


In some instances, addition of the second oligonucleotide (i.e., the primer) results in hybridization of the primer. Extension of the complementary sequence 812 between the primer binding site and the site to which the bridging oligonucleotide has bound can occur. In some instances, extension is performed via polymerization that is catalyzed by a polymerase (e.g., a DNA polymerase or reverse transcriptase). In some instances, after extension, the extended primer and the bridging oligonucleotide are ligated.


In other instances, oligonucleotides are designed to hybridize to the capture probe after the bridging oligonucleotide hybridizes to the capture probe. Referring to FIG. 8B, the method herein includes a substrate 801 that has a plurality of capture probes thereon, with a capture probe 802 having a capture domain 803 and 806 and a bridging oligonucleotide complementary sequence 805, wherein the bridging oligonucleotide complementary sequence 805 includes a spatial barcode. In some embodiments, after hybridization of an analyte 808 to the capture domain 803 via e.g, a poly(A) tail 809, one or more oligonucleotides (e.g., 815, 816, and 817) hybridize to the capture probes. In some instances, the one or more oligonucleotides are barcodes. In some instances, the one or more oligonucleotides are spatial barcodes. In some instances, at least 2, at least 3, at least 4, at least 5, or more oligonucleotides hybridize to the capture probe. The length and sequence of the oligonucleotides can be designed by one skilled in the art so that each is specific to the capture probe (i.e., so that it does not cross-react with a sequence of the biological sample's genome). In some instances, the one or more one or more oligonucleotides hybridize to adjacent sequences of capture probe. In some instances, after hybridization of the oligonucleotides, the one or more oligonucleotides and the bridging oligonucleotide are ligated. In some instances, the one or more oligonucleotides and the bridging oligonucleotide are ligated using any of the ligation methods described herein.


In some instances, the ligase does not require adenosine triphosphate for ligase activity (e.g., thermostable 5′ AppDNA/RNA Ligase, truncated T4 RNA Ligase 2 (trRnl2), truncated T4 RNA Ligase 2 K227Q, truncated T4 RNA Ligase 2 KQ, Chlorella Virus PBCV-1 DNA Ligase, and combinations thereof). See, e.g., Nichols et al., “RNA Ligases,” Curr. Protocol. Molec. Biol. 84(1):3.15.1-.4 (2008); Viollet et al., “T4 RNA Ligase 2 Truncated Active Site Mutants: Improved Tools for RNA Analysis,” BMC Biotechnol. 11: 72 (2011); and Ho et al., “Bacteriophage T4 RNA Ligase 2 (gp24.1) Exemplifies a Family of RNA Ligases Found in All Phylogenetic Domains,” PNAS 99(20):12709-14 (2002), which are hereby incorporated by reference in their entirety for a description of T4 RNA Ligases and truncated T4 RNA Ligases. Thermostable 5′ AppDNA/RNA Ligase is an enzyme belonging to the Ligase family that catalyzes the ligation of the 3′ end of ssRNA or ssDNA to a 5′-adenylated ssDNA or 5′-adenylated ssRNA. Truncated T4 RNA Ligase 2 is an enzyme belonging to the Ligase family that catalyzes the ligation of dsRNA nicks and ssRNA to ssRNA. It can also ligate the 3′ end of RNA or DNA to a 5′-pDNA when annealed to an RNA complement, and the 3′ end of RNA to a when annealed to a DNA complement, with reduced efficiency. Truncated T4 RNA Ligase 2 K227Q is an enzyme belonging to the Ligase family that catalyzes the ligation of the 3′ end of ssRNA to 5′ adenylated ssDNA and 5′ adenylated ssRNA. It has a reduction of side products as compared to truncated T4 RNA Ligase 2. Truncated T4 RNA Ligase 2 KQ is an enzyme belonging to the Ligase family that catalyzes the ligation of the 3′ end of ssRNA to 5′ adenylated ssDNA and 5′ adenylated ssRNA. It is a preferred choice for ligation of ssRNA to preadenylated adapters and has a reduction of side products as compared to truncated T4 RNA Ligase 2.


In some embodiments, the T4 RNA Ligase comprises a K227Q mutation. See Viollet et al., “T4 RNA Ligase 2 Truncated Active Site Mutants: Improved Tools for RNA Analysis,” BMC Biotechnol. 11, which is hereby incorporated by reference in its entirety.


In some instances, cofactors that aid in ligation of the first and second probe are added during ligation. In some instances, the cofactors include magnesium ions (Mg2+). In some instances, the cofactors include manganese ions (Mn2+). In some instances, Mg2+ is added in the form of MgCl2. In some instances, Mn2+ is added in the form of MnCl2. In some instances, the concentration of MgCl2 is at about 1 mM to about 10 mM. In some instances, the concentration of MnCl2 is at about 1 mM to about 10 mM.


In some instances, the ligation occurs at a pH in the range of about 6.5 to about 9.0, about 6.5 to about 8.0, or about 7.5 to about 8.0.


In some embodiments, the ligation buffer includes an enzyme storage buffer. In some embodiments, the enzymes storage buffer includes glycerol. In some embodiments, the ligation buffer is supplemented with glycerol. In some embodiments, the glycerol is present in the ligation buffer at a total volume of 15% v/v.


In situations where a primer or one or more oligonucleotides hybridize to the capture probe, extension of the bridging oligonucleotide occurs as described above in order to create a complementary sequence of the template.


(b) Additional Methods for Spatial Analysis


1. Imaging and Staining


In some instances, biological samples can be stained using a wide variety of stains and staining techniques. In some instances, the biological sample is a section on a slide (e.g., a 10 μm section). In some instances, the biological sample is dried after placement onto a glass slide. In some instances, the biological sample is dried at 42° C. In some instances, drying occurs for about 1 hour, about 2, hours, about 3 hours, or until the sections become transparent. In some instances, the biological sample can be dried overnight (e.g., in a desiccator at room temperature).


In some embodiments, a sample can be stained using any number of biological stains, including but not limited to, acridine orange, Bismarck brown, carmine, coomassie blue, cresyl violet, DAPI, eosin, ethidium bromide, acid fuchsine, hematoxylin, Hoechst stains, iodine, methyl green, methylene blue, neutral red, Nile blue, Nile red, osmium tetroxide, propidium iodide, rhodamine, or safranin. In some instances, the methods disclosed herein include imaging the biological sample. In some instances, imaging the sample occurs prior to deaminating the biological sample. In some instances, the sample can be stained using known staining techniques, including Can-Grunwald, Giemsa, hematoxylin and eosin (H&E), Jenner's, Leishman, Masson's trichrome, Papanicolaou, Romanowsky, silver, Sudan, Wright's, and/or Periodic Acid Schiff (PAS) staining techniques. PAS staining is typically performed after formalin or acetone fixation. In some instances, the stain is an H&E stain.


In some embodiments, the biological sample can be stained using a detectable label (e.g., radioisotopes, fluorophores, chemiluminescent compounds, bioluminescent compounds, and dyes). Detectable labels used to stain biological samples are also described in Section (I)(b)(xvi) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. In some embodiments, a biological sample is stained using only one type of stain or one technique. In some embodiments, staining includes biological staining techniques such as H&E staining. In some embodiments, staining includes identifying analytes using fluorescently-conjugated antibodies. In some embodiments, a biological sample is stained using two or more different types of stains, or two or more different staining techniques. For example, a biological sample can be prepared by staining and imaging using one technique (e.g., H&E staining and brightfield imaging), followed by staining and imaging using another technique (e.g., IHC/IF staining and fluorescence microscopy) for the same biological sample.


In some embodiments, biological samples can be destained. Methods of destaining a biological sample are known in the art, and generally depend on the nature of the stain(s) applied to the sample. For example, H&E staining can be destained by washing the sample in HCl, or any other acid (e.g., selenic acid, sulfuric acid, hydroiodic acid, benzoic acid, carbonic acid, malic acid, phosphoric acid, oxalic acid, succinic acid, salicylic acid, tartaric acid, sulfurous acid, trichloroacetic acid, hydrobromic acid, hydrochloric acid, nitric acid, orthophosphoric acid, arsenic acid, selenous acid, chromic acid, citric acid, hydrofluoric acid, nitrous acid, isocyanic acid, formic acid, hydrogen selenide, molybdic acid, lactic acid, acetic acid, carbonic acid, hydrogen sulfide, or combinations thereof). In some embodiments, destaining can include 1, 2, 3, 4, 5, or more washes in an acid (e.g., HCl). In some embodiments, destaining can include adding HCl to a downstream solution (e.g., permeabilization solution). In some embodiments, destaining can include dissolving an enzyme used in the disclosed methods (e.g., pepsin) in an acid (e.g., HCl) solution. In some embodiments, after destaining hematoxylin with an acid, other reagents can be added to the destaining solution to raise the pH for use in other applications. For example, SDS can be added to an acid destaining solution in order to raise the pH as compared to the acid destaining solution alone. As another example, in some embodiments, one or more immunofluorescence stains are applied to the sample via antibody coupling. Such stains can be removed using techniques such as cleavage of disulfide linkages via treatment with a reducing agent and detergent washing, chaotropic salt treatment, treatment with antigen retrieval solution, and treatment with an acidic glycine buffer. Methods for multiplexed staining and destaining are described, for example, in Bolognesi et al., J. Histochem. Cytochem. 2017; 65(8): 431-444, Lin et al., Nat Commun. 2015; 6:8390, Pirici et al., J. Histochem. Cytochem. 2009; 57:567-75, and Glass et al., J. Histochem. Cytochem. 2009; 57:899-905, the entire contents of each of which are incorporated herein by reference.


In some embodiments, immunofluorescence or immunohistochemistry protocols (direct and indirect staining techniques) can be performed as a part of, or in addition to, the exemplary spatial workflows presented herein. For example, tissue sections can be fixed according to methods described herein. The biological sample can be transferred to an array (e.g., capture probe array), wherein analytes (e.g., proteins) are probed using immunofluorescence protocols. For example, the sample can be rehydrated, blocked, and permeabilized (3×SSC, 2% BSA, 0.1% Triton X, 1 U/μl RNAse inhibitor for 10 minutes at 4° C.) before being stained with fluorescent primary antibodies (1:100 in 3×SSC, 2% BSA, 0.1% Triton X, 1 U/μl RNAse inhibitor for 30 minutes at 4° C.). The biological sample can be washed, coverslipped (in glycerol+1 U/μl RNAse inhibitor), imaged (e.g., using a confocal microscope or other apparatus capable of fluorescent detection), washed, and processed according to analyte capture or spatial workflows described herein.


In some instances, a glycerol solution and a cover slip can be added to the sample. In some instances, the glycerol solution can include a counterstain (e.g., DAPI).


As used herein, an antigen retrieval buffer can improve antibody capture in IF/IHC protocols. An exemplary protocol for antigen retrieval can be preheating the antigen retrieval buffer (e.g., to 95° C.), immersing the biological sample in the heated antigen retrieval buffer for a predetermined time, and then removing the biological sample from the antigen retrieval buffer and washing the biological sample.


In some embodiments, optimizing permeabilization can be useful for identifying intracellular analytes. Permeabilization optimization can include selection of permeabilization agents, concentration of permeabilization agents, and permeabilization duration. Tissue permeabilization is discussed elsewhere herein.


In some embodiments, blocking an array and/or a biological sample in preparation of labeling the biological sample decreases nonspecific binding of antibodies to the array and/or biological sample (decreases background). Some embodiments provide for blocking buffers/blocking solutions that can be applied before and/or during application of the label, wherein the blocking buffer can include a blocking agent, and optionally a surfactant and/or a salt solution. In some embodiments, a blocking agent can be bovine serum albumin (BSA), serum, gelatin (e.g., fish gelatin), milk (e.g., non-fat dry milk), casein, polyethylene glycol (PEG), polyvinyl alcohol (PVA), or polyvinylpyrrolidone (PVP), biotin blocking reagent, a peroxidase blocking reagent, levamisole, Carnoy's solution, glycine, lysine, sodium borohydride, pontamine sky blue, Sudan Black, trypan blue, FITC blocking agent, and/or acetic acid. The blocking buffer/blocking solution can be applied to the array and/or biological sample prior to and/or during labeling (e.g., application of fluorophore-conjugated antibodies).


2. Preparation of a Biological Sample for Detection by Capture Probes


In some instances, the biological sample is deparaffinized. Deparaffinization can be achieved using any method known in the art. For example, in some instances, the biological samples is treated with a series of washes that include xylene and various concentrations of ethanol. In some instances, methods of deparaffinization include treatment of xylene (e.g., three washes at 5 minutes each). In some instances, the methods further include treatment with ethanol (e.g., 100% ethanol, two washes 10 minutes each; 95% ethanol, two washes 10 minutes each; 70% ethanol, two washes 10 minutes each; 50% ethanol, two washes 10 minutes each). In some instances, after ethanol washes, the biological sample can be washed with deionized water (e.g., two washes for 5 minutes each). It is appreciated that one skilled in the art can adjust these methods to optimize deparaffinization.


In some instances, the biological sample is decrosslinked. In some instances, the biological sample is decrosslinked in a solution containing TE buffer (comprising Tris and EDTA). In some instances, the TE buffer is basic (e.g., at a pH of about 9). In some instances, decrosslinking occurs at about 50° C. to about 80° C. In some instances, decrosslinking occurs at about 70° C. In some instances, decrosslinking occurs for about 1 hour at 70° C. Just prior to decrosslinking, the biological sample can be treated with an acid (e.g., 0.1M HCl for about 1 minute). After the decrosslinking step, the biological sample can be washed (e.g., with 1×PBST).


In some instances, the methods of preparing a biological sample for probe application include permeabilizing the sample. In some instances, the biological sample is permeabilized using a phosphate buffer. In some instances, the phosphate buffer is PBS (e.g., 1×PBS). In some instances, the phosphate buffer is PBST (e.g., 1×PBST). In some instances, the permeabilization step is performed multiple times (e.g., 3 times at 5 minutes each).


In some instances, the methods of preparing a biological sample for probe application include steps of equilibrating and blocking the biological sample. In some instances, equilibrating is performed using a pre-hybridization (pre-Hyb) buffer. In some instances, the pre-Hyb buffer is RNase-free. In some instances, the pre-Hyb buffer contains no bovine serum albumin (BSA), solutions like Denhardt's, or other potentially nuclease-contaminated biological materials.


In some instances, the equilibrating step is performed multiple times (e.g., 2 times at 5 minutes each; 3 times at 5 minutes each). In some instances, the biological sample is blocked with a blocking buffer. In some instances, the blocking buffer includes a carrier such as tRNA, for example yeast tRNA. In some instances, blocking can be performed for 5, 10, 15, 20, 25, or minutes.


Any of the foregoing steps can be optimized for performance. For example, one can vary the temperature. In some instances, the pre-hybridization methods are performed at room temperature. In some instances, the pre-hybridization methods are performed at 4° C. (in some instances, varying the timeframes provided herein).


3. Spatial Analysis Methods


In some embodiments, a method for spatial analysis using the spatial array prepared according to the methods described herein includes capturing an analyte of a biological sample by a capture probe comprising a capture domain and a spatial barcode; and determining a location of the captured analyte in the biological sample based on the spatial barcode in the capture probe. In some instances, the methods of copying the analyte to create an “extended capture probe” include use of a bridging oligonucleotide.


In some embodiments, the determining step includes amplifying all or part of the analyte specifically bound to the capture domain. In some embodiments, the method includes amplifying all or part of the analyte using isothermal amplification. In some embodiments, the method includes amplifying all or part of the analyte using non-isothermal amplification. In some embodiments, the amplifying creates an amplifying product that includes (i) all or part of sequence of the analyte specifically bound to the capture domain, or a complement thereof, and (ii) all or a part of the sequence of the spatial barcode, or a complement thereof. In some instances, the amplifying step includes methods of copying or amplifying the analyte to create an extended capture probe using the bridging oligonucleotide disclosed herein.


In some embodiments, the determining step includes sequencing. A non-limiting example of sequencing that can be used to determine the sequence of the analyte and/or spatial barcodes (e.g., first and/or second spatial barcode) is in situ sequencing. In some embodiments, in situ sequencing is performed via sequential fluorescence hybridization, sequencing by ligation, nucleic acid hybridization, or high-throughput digital sequencing techniques. In some embodiments, the analyte is RNA or DNA.


In some embodiments, the analyte is protein. In some embodiments, a method for spatial analysis includes binding of the analyte to an analyte binding moiety. In some embodiments of any of the spatial profiling methods described herein, the analyte binding moiety of the analyte capture agent that binds to a biological analyte can include, but is not limited to, an antibody, or an epitope binding fragment thereof, a cell surface receptor binding molecule, a receptor ligand, a small molecule, a bi-specific antibody, a bi-specific T-cell engager, a T-cell receptor engager, a B-cell receptor engager, a pro-body, an aptamer, a monobody, an affimer, a darpin, and a protein scaffold, or any combination thereof. The analyte binding moiety can bind to the analyte with high affinity and/or with high specificity. The analyte binding moiety can include a nucleotide sequence (e.g., an oligonucleotide), which can correspond to at least a portion or an entirety of the analyte binding moiety. The analyte binding moiety can include a polypeptide and/or an aptamer (e.g., a polypeptide and/or an aptamer that binds to a specific target molecule, e.g., an analyte). The analyte binding moiety can include an antibody or antibody fragment (e.g., an antigen-binding fragment) that binds to a specific analyte (e.g., a polypeptide).


More particularly, after an analyte has hybridized or otherwise been associated with a capture probe according to any of the methods described above in connection with the general spatial cell-based analytical methodology, the barcoded constructs that result from hybridization/association are analyzed.


In some embodiments, after contacting a biological sample with a substrate that includes capture probes, a removal step can optionally be performed to remove all or a portion of the biological sample from the substrate. In some embodiments, the removal step includes enzymatic and/or chemical degradation of cells of the biological sample. For example, the removal step can include treating the biological sample with an enzyme (e.g., a proteinase, e.g., proteinase K) to remove at least a portion of the biological sample from the substrate. In some embodiments, the removal step can include ablation of the tissue (e.g., laser ablation).


In some embodiments, provided herein are methods for spatially detecting an analyte (e.g., detecting the location of an analyte, e.g., a biological analyte) from a biological sample (e.g., present in a biological sample), the method comprising: (a) optionally staining and/or imaging a biological sample on a substrate; (b) permeabilizing (e.g., providing a solution comprising a permeabilization reagent to) the biological sample on the substrate; (c) contacting the biological sample with an array comprising a plurality of capture probes, wherein a capture probe of the plurality captures the biological analyte; and (d) analyzing the captured biological analyte, thereby spatially detecting the biological analyte; wherein the biological sample is fully or partially removed from the substrate.


In some embodiments, a biological sample is not removed from the substrate. For example, the biological sample is not removed from the substrate prior to releasing a capture probe (e.g., a capture probe bound to an analyte) from the substrate. In some embodiments, such releasing comprises cleavage of the capture probe from the substrate (e.g., via a cleavage domain). In some embodiments, such releasing does not comprise releasing the capture probe from the substrate (e.g., a copy of the capture probe bound to an analyte can be made and the copy can be released from the substrate, e.g., via denaturation). In some embodiments, the biological sample is not removed from the substrate prior to analysis of an analyte bound to a capture probe after it is released from the substrate. In some embodiments, the biological sample remains on the substrate during removal of a capture probe from the substrate and/or analysis of an analyte bound to the capture probe after it is released from the substrate. In some embodiments, the biological sample remains on the substrate during removal (e.g., via denaturation) of a copy of the capture probe (e.g., complement). In some embodiments, analysis of an analyte bound to a capture probe from the substrate can be performed without subjecting the biological sample to enzymatic and/or chemical degradation of the cells (e.g., permeabilized cells) or ablation of the tissue (e.g., laser ablation).


In some embodiments, at least a portion of the biological sample is not removed from the substrate. For example, a portion of the biological sample can remain on the substrate prior to releasing a capture probe (e.g., a capture probe bound to an analyte) from the substrate and/or analyzing an analyte bound to a capture probe released from the substrate. In some embodiments, at least a portion of the biological sample is not subjected to enzymatic and/or chemical degradation of the cells (e.g., permeabilized cells) or ablation of the tissue (e.g., laser ablation) prior to analysis of an analyte bound to a capture probe from the substrate.


In some embodiments, the methods provided herein include spatially detecting an analyte (e.g., detecting the location of an analyte, e.g., a biological analyte) from a biological sample (e.g., present in a biological sample) that include: (a) optionally staining and/or imaging a biological sample on a substrate; (b) permeabilizing (e.g., providing a solution comprising a permeabilization reagent to) the biological sample on the substrate; (c) contacting the biological sample with an array comprising a plurality of capture probes, wherein a capture probe of the plurality captures the biological analyte, wherein the capture probe includes a spatial barcode; (d) contacting the captured biological analyte to a bridging oligonucleotide; (e) extending the bridging oligonucleotide using the analyte as a template to generate an extended capture probe; and (d) analyzing the captured biological analyte and/or the spatial barcode, thereby spatially detecting the biological analyte; where the biological sample is not removed from the substrate.


In some embodiments, the method further includes subjecting a region of interest in the biological sample to spatial transcriptomic analysis. In some embodiments, one or more of the capture probes includes a capture domain. In some embodiments, one or more of the capture probes comprises a unique molecular identifier (UMI). In some embodiments, one or more of the capture probes comprises a cleavage domain. In some embodiments, the cleavage domain comprises a sequence recognized and cleaved by uracil-DNA glycosylase, apurinic/apyrimidinic (AP) endonuclease (APE1), uracil-specific excision reagent (USER), and/or an endonuclease VIII. In some embodiments, one or more capture probes do not comprise a cleavage domain and is not cleaved from the array.


In some embodiments, a capture probe can be extended (an “extended capture probe,” e.g., as described herein). For example, extending a capture probe can include generating cDNA from a captured (hybridized) RNA. In some embodiments, the capture probe can be extended to include cDNA from a captured (hybridized) mRNA. This process involves synthesis of a complementary strand of the hybridized nucleic acid, e.g., generating cDNA based on the captured RNA template (the RNA hybridized to the capture domain of the capture probe, e.g., a captured mRNA hybridized to the capture domain). Thus, in an initial step of extending a capture probe, e.g., the cDNA generation, the captured (hybridized) nucleic acid, e.g., mRNA, acts as a template for the extension, e.g., a reverse transcription step.


In some embodiments, the capture probe is extended using reverse transcription. For example, reverse transcription includes synthesizing cDNA (complementary or copy DNA) from RNA (e.g., mRNA), using a reverse transcriptase. In some embodiments, reverse transcription is performed while the tissue is still in place, generating an analyte library, where the analyte library includes the spatial barcodes from the adjacent proximal capture probes. In some embodiments, the capture probe is extended using one or more DNA polymerases.


In some embodiments, the capture probe includes a capture domain and a bridging complementary sequence, wherein the bridging oligonucleotide complementary sequence includes a spatial barcode. In some embodiments, a bridging oligonucleotide including a spatial barcode is added to the biological sample or substrate. In some embodiments, a plurality of second oligonucleotides is added with the bridging oligonucleotides. In some embodiments, a second oligonucleotide can be a primer sequence that can hybridize to the capture probe. In some embodiments, hybridization of the second oligonucleotide (i.e., the primer) to the capture probe results in extension of the bridging oligonucleotide complementary sequence between the primer binding site and the site to which the bridging oligonucleotide has bound can occur. In some instances, extension is performed via polymerization that is catalyzed by a polymerase (e.g., a DNA polymerase or reverse transcriptase). In some instances, after extension, the extended primer and the bridging oligonucleotide are ligated.


In some embodiments, a capture domain of a capture probe includes a primer nucleic acid sequence for producing a complementary strand of a nucleic acid hybridized to the capture probe, e.g., a primer for DNA polymerase and/or reverse transcription. The nucleic acid, (e.g., DNA and/or cDNA), molecules generated by the extension reaction incorporate the sequence of the capture probe. The extension of the capture probe, e.g., a DNA polymerase and/or reverse transcription reaction, can be performed using a variety of suitable enzymes and protocols.


In some embodiments, a full-length DNA (e.g., cDNA) molecule is generated. In some embodiments, a “full-length” DNA molecule refers to the whole of the captured nucleic acid molecule. However, if a nucleic acid (e.g., RNA) was partially degraded in the tissue sample, then the captured nucleic acid molecules will not be the same length as the initial RNA in the tissue sample. In some embodiments, the 3′ end of the extended probes, e.g., first strand cDNA molecules, is modified. For example, a linker or adaptor can be ligated to the 3′ end of the extended probes. This can be achieved using single stranded ligation enzymes such as T4 RNA ligase or Circligase™ (available from Lucigen, Middleton, WI). In some embodiments, template switching oligonucleotides are used to extend cDNA in order to generate a full-length cDNA (or as close to a full-length cDNA as possible). In some embodiments, a second strand synthesis helper probe (a partially double stranded DNA molecule capable of hybridizing to the 3′ end of the extended capture probe), can be ligated to the 3′ end of the extended probe, e.g., first strand cDNA, molecule using a double stranded ligation enzyme such as T4 DNA ligase. Other enzymes appropriate for the ligation step are known in the art and include, e.g., Tth DNA ligase, Taq DNA ligase, Thermococcus sp. (strain 9oN) DNA ligase (9oN™ DNA ligase, New England Biolabs), Ampligase™ (available from Lucigen, Middleton, WI), and SplintR (available from New England Biolabs, Ipswich, MA). In some embodiments, a polynucleotide tail, e.g., a poly(A) tail, is incorporated at the 3′ end of the extended probe molecules. In some embodiments, the polynucleotide tail is incorporated using a terminal transferase active enzyme.


In some embodiments, double-stranded extended capture probes are treated to remove any unextended capture probes prior to amplification and/or analysis, e.g., sequence analysis. This can be achieved by a variety of methods, e.g., using an enzyme to degrade the unextended probes, such as an exonuclease enzyme, or purification columns.


In some embodiments, extended capture probes are amplified to yield quantities that are sufficient for analysis, e.g., via DNA sequencing. In some embodiments, the first strand of the extended capture probes (e.g., DNA and/or cDNA molecules) acts as a template for the amplification reaction (e.g., a polymerase chain reaction).


In some embodiments, the amplification reaction incorporates an affinity group onto the extended capture probe (e.g., RNA-cDNA hybrid) using a primer including the affinity group. In some embodiments, the primer includes an affinity group and the extended capture probes includes the affinity group. The affinity group can correspond to any of the affinity groups described previously.


In some embodiments, the extended capture probes including the affinity group can be coupled to a substrate specific for the affinity group. In some embodiments, the substrate can include an antibody or antibody fragment. In some embodiments, the substrate includes avidin or streptavidin and the affinity group includes biotin. In some embodiments, the substrate includes maltose and the affinity group includes maltose-binding protein. In some embodiments, the substrate includes maltose-binding protein and the affinity group includes maltose. In some embodiments, amplifying the extended capture probes can function to release the extended probes from the surface of the substrate, insofar as copies of the extended probes are not immobilized on the substrate.


In some embodiments, the extended capture probe or complement or amplicon thereof is released. The step of releasing the extended capture probe or complement or amplicon thereof from the surface of the substrate can be achieved in a number of ways. In some embodiments, an extended capture probe or a complement thereof is released from the array by nucleic acid cleavage and/or by denaturation (e.g., by heating to denature a double-stranded molecule).


In some embodiments, the extended capture probe or complement or amplicon thereof is released from the surface of the substrate (e.g., array) by physical means. For example, where the extended capture probe is indirectly immobilized on the array substrate, e.g., via hybridization to a surface probe, it can be sufficient to disrupt the interaction between the extended capture probe and the surface probe. Methods for disrupting the interaction between nucleic acid molecules include denaturing double stranded nucleic acid molecules are known in the art. A straightforward method for releasing the DNA molecules (i.e., of stripping the array of extended probes) is to use a solution that interferes with the hydrogen bonds of the double stranded molecules. In some embodiments, the extended capture probe is released by an applying heated solution, such as water or buffer, of at least 85° C., e.g., at least 90, 91, 92, 93, 94, 95, 96, 97, 98, or 99° C. In some embodiments, a solution including salts, surfactants, etc. that can further destabilize the interaction between the nucleic acid molecules is added to release the extended capture probe from the substrate.


In some embodiments, where the extended capture probe includes a cleavage domain, the extended capture probe is released from the surface of the substrate by cleavage. For example, the cleavage domain of the extended capture probe can be cleaved by any of the methods described herein. In some embodiments, the extended capture probe is released from the surface of the substrate, e.g., via cleavage of a cleavage domain in the extended capture probe, prior to the step of amplifying the extended capture probe.


In some embodiments, probes complementary to the extended capture probe can be contacted with the substrate. In some embodiments, the biological sample can be in contact with the substrate when the probes are contacted with the substrate. In some embodiments, the biological sample can be removed from the substrate prior to contacting the substrate with probes. In some embodiments, the probes can be labeled with a detectable label (e.g., any of the detectable labels described herein). In some embodiments, probes that do not specially bind (e.g., hybridize) to an extended capture probe can be washed away. In some embodiments, probes complementary to the extended capture probe can be detected on the substrate (e.g., imaging, any of the detection methods described herein).


In some embodiments, probes complementary to an extended capture probe can be about 4 nucleotides to about 100 nucleotides long. In some embodiments, probes (e.g., detectable probes) complementary to an extended capture probe can be about 10 nucleotides to about 90 nucleotides long. In some embodiments, probes (e.g., detectable probes) complementary to an extended capture probe can be about 20 nucleotides to about 80 nucleotides long. In some embodiments, probes (e.g., detectable probes) complementary to an extended capture probe can be about 30 nucleotides to about 60 nucleotides long. In some embodiments, probes (e.g., detectable probes) complementary to an extended capture probe can be about 40 nucleotides to about 50 nucleotides long. In some embodiments, probes (e.g., detectable probes) complementary to an extended capture probe can be about 5, about 6, about 7, about 8, about 9, about 10, about 11, about 12, about 13, about 14, about 15, about 16, about 17, about 18, about 19, about 20, about 21, about 22, about 23, about 24, about 25, about 26, about 27, about 28, about 29, about 30, about 31, about 32, about 33, about 34, about 35, about 36, about 37, about 38, about 39, about 40, about 41, about 42, about 43, about 44, about 45, about 46, about 47, about 48, about 49, about 50, about 51, about 52, about 53, about 54, about 55, about 56, about 57, about 58, about 59, about 60, about 61, about 62, about 63, about 64, about 65, about 66, about 67, about 68, about 69, about 70, about 71, about 72, about 73, about 74, about 75, about 76, about 77, about 78, about 79, about 80, about 81, about 82, about 83, about 84, about 85, about 86, about 87, about 88, about 89, about 90, about 91, about 92, about 93, about 94, about about 96, about 97, about 98, and about 99 nucleotides long.


In some embodiments, about 1 to about 100 probes can be contacted to the substrate and specifically bind (e.g., hybridize) to an extended capture probe. In some embodiments, about 1 to about 10 probes can be contacted to the substrate and specifically bind (e.g., hybridize) to an extended capture probe. In some embodiments, about 10 to about 100 probes can be contacted to the substrate and specifically bind (e.g., hybridize) to an extended capture probe. In some embodiments, about 20 to about 90 probes can be contacted to the substrate and specifically bind (e.g., hybridize) to an extended capture probe. In some embodiments, about 30 to about 80 probes (e.g., detectable probes) can be contacted to the substrate and specifically bind (e.g., hybridize) to an extended capture probe. In some embodiments, about 40 to about 70 probes can be contacted to the substrate and specifically bind (e.g., hybridize) to an extended capture probe. In some embodiments, about 50 to about 60 probes can be contacted to the substrate and specifically bind (e.g., hybridize) to an extended capture probe. In some embodiments, about 2, about 3, about 4, about 5, about 6, about 7, about 8, about 9, about 10, about 11, about 12, about 13, about 14, about 15, about 16, about 17, about 18, about 19, about 20, about 21, about 22, about 23, about 24, about 25, about 26, about 27, about 28, about 29, about 30, about 31, about 32, about 33, about 34, about 35, about 36, about 37, about 38, about 39, about 40, about 41, about 42, about 43, about 44, about 45, about 46, about 47, about 48, about 49, about 50, about 51, about 52, about 53, about 54, about 55, about 56, about 57, about 58, about 59, about 60, about 61, about 62, about 63, about 64, about 65, about 66, about 67, about 68, about 69, about about 71, about 72, about 73, about 74, about 75, about 76, about 77, about 78, about 79, about 80, about 81, about 82, about 83, about 84, about 85, about 86, about 87, about 88, about 89, about 90, about 91, about 92, about 93, about 94, about 95, about 96, about 97, about 98, and about 99 probes can be contacted to the substrate and specifically bind (e.g., hybridize) to an extended capture probe.


In some embodiments, the probes can be complementary to a single analyte (e.g., a single gene). In some embodiments, the probes can be complementary to one or more analytes (e.g., analytes in a family of genes). In some embodiments, the probes (e.g., detectable probes) can be for a panel of genes associated with a disease (e.g., cancer, Alzheimer's disease, Parkinson's disease).


In some instances, the capture probe can be amplified or copied, creating a plurality of cDNA molecules. In some embodiments, cDNA can be denatured from the capture probe template and transferred (e.g., to a clean tube or microwell plate) for amplification, and/or library construction. The spatially-barcoded cDNA can be amplified via PCR prior to library construction. The cDNA can then be enzymatically fragmented and size-selected in order to optimize for cDNA amplicon size. P5 and P7 sequences directed to capturing the amplicons on a sequencing flowcell (e.g., Illumina sequencing instruments) can be appended to the amplicons, i7, and i5 can be used as sample indexes, and TruSeq Read 2 can be added via End Repair, A-tailing, Adaptor Ligation, and PCR. The cDNA fragments can then be sequenced using paired-end sequencing using TruSeq Read 1 and TruSeq Read 2 as sequencing primer sites. A skilled artisan will understand that additional or alternative sequences used by other sequencing instruments or technologies are also equally applicable for use in the aforementioned methods as the current methods are not limited to any a particular sequencing platform.


In some embodiments, where a sample is barcoded directly via hybridization with capture probes or analyte capture agents hybridized, bound, or associated with either the cell surface, or introduced into the cell, as described above, sequencing can be performed on the intact sample.


A wide variety of different sequencing methods can be used to analyze the barcoded analyte or moiety. In general, sequenced polynucleotides can be, for example, nucleic acid molecules such as deoxyribonucleic acid (DNA) or ribonucleic acid (RNA), including variants or derivatives thereof (e.g., single stranded DNA or DNA/RNA hybrids, and nucleic acid molecules with a nucleotide analog).


Sequencing of polynucleotides can be performed by various systems. More generally, sequencing can be performed using nucleic acid amplification, polymerase chain reaction (PCR) (e.g., digital PCR and droplet digital PCR (ddPCR), quantitative PCR, real time PCR, multiplex PCR, PCR-based single plex methods, emulsion PCR), and/or isothermal amplification. Non-limiting examples of methods for sequencing genetic material include, but are not limited to, DNA hybridization methods (e.g., Southern blotting), restriction enzyme digestion methods, Sanger sequencing methods, next-generation sequencing methods (e.g., single-molecule real-time sequencing, nanopore sequencing, sequence by synthesis sequencing and Polony sequencing), ligation methods, and microarray methods.


EXAMPLES
Example 1—Methods for Reverse Transcribing One or More mRNA Analytes from a Biological Sample

In a non-limiting example, a capture probe is immobilized on a capture probe array. FIG. 7 shows an exemplary illustration of a capture probe interacting with an mRNA of a biological sample on a capture probe array. For example, a method of identifying a location of an mRNA in a biological sample can include: (a) contacting the biological sample with a substrate, as described herein; (b) hybridizing the capture probe to the target analyte mRNA, generating a captured mRNA; (c) contacting the captured mRNA to a bridging oligonucleotide, creating a hybridized product; (d) extending the bridging oligonucleotide by reverse transcription; (e) amplifying the hybridized product; and determining all or a part of the sequence of the captured mRNA and the spatial barcode of the capture probe to identify the location of the mRNA in the biological sample.


Referring to FIG. 7, an array includes a plurality of probes. A probe is attached to the surface of the array at one end (e.g., 5′ end). The probe includes sequences complementary to an analyte sequence. For example, the sequence complementary to an analyte sequence is a poly(T) sequence (703 and 706). A biological sample that includes an mRNA analyte is added to the array. The mRNA analyte hybridizes to a capture probe (708 and 710). After hybridization, a bridging oligonucleotide is added to the biological sample (714). The bridging oligonucleotide includes a random hexamer sequence (or a VNN sequence (e.g., complementary to 704 and 707), a flexible arm, and a sequence specific to the spatial barcode of the capture probe. The bridging oligonucleotide hybridizes to the mRNA analyte and the capture probe. After hybridization of the bridging oligonucleotide, the bridging oligonucleotide is extended.


Referring to FIGS. 8A-8B, the sequence specific to the spatial barcode of the capture probe in the bridging oligonucleotide binds to one or more complementary regions of the spatial barcode region (black circles) of the probe. As seen in FIG. 8A, there can be one spatial barcode region or more than one (FIG. 8B). After hybridization of the bridging oligonucleotide to the mRNA analyte and to the probe, the bridging oligonucleotide can be further extended. After hybridization and extension, the product can be amplified, a sequencing library generated, and the sequence of the spatial barcode and the target mRNA analyte determined and spatially located on the spatial array as previously described.

Claims
  • 1. A method comprising: (a) contacting a biological sample with a substrate comprising a plurality of capture probes, wherein a capture probe in the plurality of capture probes comprises a capture domain and a spatial barcode;(b) hybridizing an analyte to the capture domain, thereby generating a capture analyte; and(c) contacting the captured analyte to a bridging oligonucleotide, wherein the bridging oligonucleotide comprises: (i) a capture-probe-binding sequence, and(ii) an analyte-binding sequence; and(d) extending the bridging oligonucleotide using the analyte as a template to generate an extended capture probe comprising (i) the analyte, or a complement thereof, and (ii) the spatial barcode or a complement thereof.
  • 2. The method of claim 1, further comprising sequencing (i) all or a part of the sequence of the analyte, or a complement thereof, and (ii) the sequence of the spatial barcode, or a complement thereof, and using the sequences of (i) and (ii) to determine location of the analyte in the biological sample.
  • 3. The method of claim 1, further comprising determining (i) all or a part of the sequence of the analyte, or a complement thereof, and (ii) the sequence of the spatial barcode, or a complement thereof, wherein the determining comprises in situ detection of the bridging oligonucleotide, or a complement thereof.
  • 4. The method of claim 3, wherein a labeled detection probe that comprises a sequence complementary to a sequence of the bridging oligonucleotide is added to the substrate.
  • 5. The method of claim 1, wherein the bridging oligonucleotide further comprises a flexible arm and an annealing sequence comprising a functional domain, wherein the functional domain is a primer sequence.
  • 6. The method of claim 5, wherein the flexible arm comprises a poly(T) sequence or a poly(A) sequence.
  • 7. The method of claim 5, wherein the bridging oligonucleotide comprises a 3′-OH terminus.
  • 8. The method of claim 1, wherein the capture-probe-binding sequence comprises a sequence that is complementary to the spatial barcode.
  • 9. The method of claim 1, wherein contacting the captured analyte to the bridging oligonucleotide further comprises adding a capture probe primer sequence that hybridizes independently to the capture probe.
  • 10. The method of claim 9, further comprising extending the capture probe using the capture probe primer sequence, thereby generating an extended capture probe primer sequence.
  • 11. The method of claim 10, further comprising ligating the extended capture probe primer sequence to the bridging oligonucleotide.
  • 12. The method of claim 1, wherein contacting the captured analyte to the bridging oligonucleotide further comprises hybridizing one or more oligonucleotides that are complementary to adjacent sequences on the capture probe.
  • 13. The method of claim 12, further comprising ligating the one or more oligonucleotides that are complementary to adjacent sequences to one another and to the bridging oligonucleotide.
  • 14. The method of claim 1, wherein the step of extending comprises reverse transcription.
  • 15. The method of claim 1, further comprising cleaving the extended capture probe from the substrate, and determining (i) all or a part of the sequence of the analyte, or a complement thereof, and (ii) the sequence of the spatial barcode, or a complement thereof, by sequencing.
  • 16. The method of claim 1, wherein the biological sample is a tissue, a tissue section, an organ, an organism, or a cell culture sample.
  • 17. The method of claim 1, wherein the biological sample is a formalin-fixed, paraffin-embedded (FFPE) tissue sample, a frozen tissue sample, or a fresh tissue sample.
  • 18. The method of claim 1, wherein the analyte is selected from the group consisting of an RNA molecule, a DNA molecule, a protein, a small molecule, and a metabolite.
  • 19. The method of claim 1, wherein the analyte is mRNA.
  • 20. The method of claim 1, wherein the capture domain comprises a poly(T) sequence.
CROSS-REFERENCE TO RELATED APPLICATION

This application is a continuation of U.S. patent application Ser. No. 17/167,559, filed Feb. 4, 2021, which claims priority to U.S. Provisional Patent Application No. 62/970,633, filed Feb. 5, 2020. The contents of this application are incorporated herein by reference in its entirety.

US Referenced Citations (939)
Number Name Date Kind
4683195 Mullis Jul 1987 A
4683202 Mullis Jul 1987 A
4800159 Mullis Jan 1989 A
4883867 Lee Nov 1989 A
4965188 Mullis Oct 1990 A
4988617 Landegren et al. Jan 1991 A
5002882 Lunnen Mar 1991 A
5130238 Malek Jul 1992 A
5308751 Ohkawa May 1994 A
5321130 Yue Jun 1994 A
5410030 Yue Apr 1995 A
5436134 Haugland Jul 1995 A
5455166 Walker Oct 1995 A
5494810 Barany et al. Feb 1996 A
5503980 Cantor Apr 1996 A
5512439 Hornes Apr 1996 A
5512462 Cheng Apr 1996 A
5582977 Yue Dec 1996 A
5599675 Brenner Feb 1997 A
5641658 Adams Jun 1997 A
5648245 Fire et al. Jul 1997 A
5658751 Yue Aug 1997 A
5695940 Drmanac et al. Dec 1997 A
5750341 Macevicz May 1998 A
5763175 Brenner Jun 1998 A
5830711 Barany et al. Nov 1998 A
5837832 Chee et al. Nov 1998 A
5854033 Lizardi Dec 1998 A
5863753 Haugland Jan 1999 A
5871921 Landegren et al. Feb 1999 A
5912148 Eggerding Jun 1999 A
5925545 Reznikoff et al. Jul 1999 A
5928906 Koester et al. Jul 1999 A
5958775 Wickstrrom Sep 1999 A
5962271 Chenchik et al. Oct 1999 A
5962272 Chenchik et al. Oct 1999 A
5965443 Reznikoff et al. Oct 1999 A
6013440 Lipshutz Jan 2000 A
6027889 Barany et al. Feb 2000 A
6054274 Sampson et al. Apr 2000 A
6060240 Kamb et al. May 2000 A
6130073 Eggerding Oct 2000 A
6143496 Brown Nov 2000 A
6153389 Haarer Nov 2000 A
6159736 Reznikoff et al. Dec 2000 A
6165714 Lane et al. Dec 2000 A
6210891 Nyren Apr 2001 B1
6210894 Brennan Apr 2001 B1
6214587 Dattagupta Apr 2001 B1
6251639 Kurn Jun 2001 B1
6258568 Nyren Jul 2001 B1
6266459 Walt Jul 2001 B1
6268148 Barany et al. Jul 2001 B1
6274320 Rothberg Aug 2001 B1
6291180 Chu Sep 2001 B1
6291187 Kingsmore et al. Sep 2001 B1
6300063 Lipshutz et al. Oct 2001 B1
6309824 Drmanac Oct 2001 B1
6323009 Lasken et al. Nov 2001 B1
6344316 Lockhart Feb 2002 B1
6344329 Lizardi et al. Feb 2002 B1
6355431 Chee Mar 2002 B1
6368801 Faruqi Apr 2002 B1
6401267 Drmanac Jun 2002 B1
6404907 Gilchrist Jun 2002 B1
6432360 Church et al. Aug 2002 B1
6503713 Rana Jan 2003 B1
6506561 Cheval et al. Jan 2003 B1
6534266 Singer Mar 2003 B1
6544732 Chee Apr 2003 B1
6573043 Cohen et al. Jun 2003 B1
6579695 Lambalot Jun 2003 B1
6620584 Chee Sep 2003 B1
6632641 Brennan Oct 2003 B1
6737236 Pieken et al. May 2004 B1
6770441 Dickinson Aug 2004 B2
6773886 Kaufman Aug 2004 B2
6787308 Balasubramanian Sep 2004 B2
6797470 Barany et al. Sep 2004 B2
6800453 Labaer Oct 2004 B2
6812005 Fan et al. Nov 2004 B2
6828100 Ronaghi Dec 2004 B1
6833246 Balasubramanian Dec 2004 B2
6852487 Barany et al. Feb 2005 B1
6859570 Walt Feb 2005 B2
6864052 Drmanac Mar 2005 B1
6867028 Janulaitis Mar 2005 B2
6872816 Hall et al. Mar 2005 B1
6875572 Prudent et al. Apr 2005 B2
6890741 Fan et al. May 2005 B2
6897023 Fu May 2005 B2
6913881 Aizenstein et al. Jul 2005 B1
6942968 Dickinson et al. Sep 2005 B1
7011944 Prudent et al. Mar 2006 B2
7057026 Barnes Jun 2006 B2
7083980 Reznikoff et al. Aug 2006 B2
7115400 Adessi Oct 2006 B1
7118883 Inoue Oct 2006 B2
7166431 Chee et al. Jan 2007 B2
7192735 Lambalot Mar 2007 B2
7211414 Hardin May 2007 B2
7255994 Lao Aug 2007 B2
7258976 Mitsuhashi Aug 2007 B2
7282328 Kong et al. Oct 2007 B2
7297518 Quake Nov 2007 B2
7329492 Hardin Feb 2008 B2
7358047 Hafner et al. Apr 2008 B2
7361488 Fan et al. Apr 2008 B2
7378242 Hurt May 2008 B2
7393665 Brenner Jul 2008 B2
7405281 Xu Jul 2008 B2
7407757 Brenner Aug 2008 B2
7473767 Dimitrov Jan 2009 B2
7499806 Kermani et al. Mar 2009 B2
7537897 Brenner May 2009 B2
7563576 Chee Jul 2009 B2
7579153 Brenner Aug 2009 B2
7582420 Oliphant et al. Sep 2009 B2
7601498 Mao Oct 2009 B2
7608434 Reznikoff et al. Oct 2009 B2
7611869 Fan Nov 2009 B2
7635566 Brenner Dec 2009 B2
7666612 Johnsson Feb 2010 B2
7674752 He Mar 2010 B2
7709198 Luo et al. May 2010 B2
7776547 Roth Aug 2010 B2
7776567 Mao Aug 2010 B2
7803943 Mao Sep 2010 B2
7888009 Barany et al. Feb 2011 B2
7892747 Barany et al. Feb 2011 B2
7910304 Drmanac Mar 2011 B2
7914981 Barany et al. Mar 2011 B2
7955794 Shen et al. Jun 2011 B2
7960119 Chee Jun 2011 B2
7985565 Mayer et al. Jul 2011 B2
8003354 Shen et al. Aug 2011 B2
8076063 Fan Dec 2011 B2
8092784 Mao Jan 2012 B2
8148068 Brenner Apr 2012 B2
8206917 Chee Jun 2012 B2
8268554 Schallmeiner Sep 2012 B2
8288103 Oliphant Oct 2012 B2
8288122 O'Leary et al. Oct 2012 B2
8383338 Kitzman Feb 2013 B2
8431691 McKernan et al. Apr 2013 B2
8460865 Chee Jun 2013 B2
8481257 Van Eijk Jul 2013 B2
8481258 Church et al. Jul 2013 B2
8481292 Casbon Jul 2013 B2
8481698 Lieberman et al. Jul 2013 B2
8507204 Pierce et al. Aug 2013 B2
8519115 Webster et al. Aug 2013 B2
8551710 Bernitz et al. Oct 2013 B2
8568979 Stuelpnagel et al. Oct 2013 B2
8586310 Mitra Nov 2013 B2
8597891 Barany et al. Dec 2013 B2
8603743 Liu et al. Dec 2013 B2
8604182 Luo et al. Dec 2013 B2
8614073 Van Eijk Dec 2013 B2
8624016 Barany et al. Jan 2014 B2
8685889 Van Eijk Apr 2014 B2
8741564 Seligmann Jun 2014 B2
8741606 Casbon Jun 2014 B2
8771950 Church et al. Jul 2014 B2
8785353 Van Eijk Jul 2014 B2
8790873 Namsaraev et al. Jul 2014 B2
8809238 Livak et al. Aug 2014 B2
8815512 Van Eijk Aug 2014 B2
8835358 Fodor Sep 2014 B2
8865410 Shendure Oct 2014 B2
8906626 Oliphant et al. Dec 2014 B2
8911945 Van Eijk Dec 2014 B2
8936912 Mitra Jan 2015 B2
8951726 Luo et al. Feb 2015 B2
8951728 Rasmussen Feb 2015 B2
8986926 Ferree et al. Mar 2015 B2
9005891 Sinicropi et al. Apr 2015 B2
9005935 Belyaev Apr 2015 B2
9023768 Van Eijk May 2015 B2
9062348 Van Eijk Jun 2015 B1
9080210 Van Eijk Jul 2015 B2
9194001 Brenner Nov 2015 B2
9201063 Sood et al. Dec 2015 B2
9273349 Nguyen et al. Mar 2016 B2
9290808 Fodor Mar 2016 B2
9290809 Fodor Mar 2016 B2
9328383 Van Eijk May 2016 B2
9334536 Van Eijk May 2016 B2
9371563 Geiss et al. Jun 2016 B2
9371598 Chee Jun 2016 B2
9376716 Van Eijk Jun 2016 B2
9376717 Gao et al. Jun 2016 B2
9376719 Van Eijk Jun 2016 B2
9416409 Hayden Aug 2016 B2
9447459 Van Eijk Sep 2016 B2
9453256 Van Eijk Sep 2016 B2
9493820 Van Eijk Nov 2016 B2
9506061 Brown et al. Nov 2016 B2
9512422 Barnard et al. Dec 2016 B2
9574230 Van Eijk Feb 2017 B2
9593365 Frisen et al. Mar 2017 B2
9598728 Barany et al. Mar 2017 B2
9624538 Church et al. Apr 2017 B2
9644204 Hindson et al. May 2017 B2
9657335 Van Eijk May 2017 B2
9670542 Van Eijk Jun 2017 B2
9694361 Bharadwaj Jul 2017 B2
9702004 Van Eijk Jul 2017 B2
9714446 Webster et al. Jul 2017 B2
9714937 Dunaway Jul 2017 B2
9727810 Fodor et al. Aug 2017 B2
9745627 Van Eijk Aug 2017 B2
9777324 Van Eijk Oct 2017 B2
9783841 Nolan et al. Oct 2017 B2
9790476 Gloeckner et al. Oct 2017 B2
9816134 Namsaraev Nov 2017 B2
9834814 Peter et al. Dec 2017 B2
9850536 Oliphant et al. Dec 2017 B2
9856521 Stevens et al. Jan 2018 B2
9868979 Chee et al. Jan 2018 B2
9879313 Chee et al. Jan 2018 B2
9896721 Van Eijk Feb 2018 B2
9898576 Van Eijk Feb 2018 B2
9898577 Van Eijk Feb 2018 B2
9902991 Sinicropi et al. Feb 2018 B2
9909167 Samusik et al. Mar 2018 B2
9938566 Shepard et al. Apr 2018 B2
9957550 Yeakley et al. May 2018 B2
10002316 Fodor et al. Jun 2018 B2
10023907 Van Eijk Jul 2018 B2
10030261 Frisen et al. Jul 2018 B2
10035992 Gloeckner et al. Jul 2018 B2
10041949 Bendall et al. Aug 2018 B2
10059989 Giresi et al. Aug 2018 B2
10059990 Boyden et al. Aug 2018 B2
10095832 Van Eijk Oct 2018 B2
10144966 Cantor Dec 2018 B2
10208982 Bannish et al. Feb 2019 B2
10227639 Levner et al. Mar 2019 B2
10273541 Hindson et al. Apr 2019 B2
10308982 Chee Jun 2019 B2
10357771 Bharadwaj Jul 2019 B2
10370698 Nolan et al. Aug 2019 B2
10415080 Dunaway et al. Sep 2019 B2
10465235 Gullberg et al. Nov 2019 B2
10472669 Chee Nov 2019 B2
10480022 Chee Nov 2019 B2
10480029 Bent et al. Nov 2019 B2
10494667 Chee Dec 2019 B2
10495554 Deisseroth et al. Dec 2019 B2
10501777 Beechem et al. Dec 2019 B2
10501791 Church et al. Dec 2019 B2
10510435 Cai et al. Dec 2019 B2
10544403 Gloeckner et al. Jan 2020 B2
10550429 Harada et al. Feb 2020 B2
10590244 Delaney et al. Mar 2020 B2
10633648 Seelig et al. Apr 2020 B2
10640816 Beechem et al. May 2020 B2
10640826 Church et al. May 2020 B2
10662468 Chee May 2020 B2
10669569 Gullberg et al. Jun 2020 B2
10724078 Van Driel et al. Jul 2020 B2
10725027 Bell Jul 2020 B2
10774372 Chee et al. Sep 2020 B2
10774374 Frisen et al. Sep 2020 B2
10787701 Chee Sep 2020 B2
10815519 Husain et al. Oct 2020 B2
10829803 Terbrueggen et al. Nov 2020 B2
10844426 Daugharthy et al. Nov 2020 B2
10858698 Church et al. Dec 2020 B2
10858702 Lucero et al. Dec 2020 B2
10913975 So et al. Feb 2021 B2
10914730 Chee et al. Feb 2021 B2
10927403 Chee et al. Feb 2021 B2
10961566 Chee Mar 2021 B2
11001879 Chee May 2021 B1
11008607 Chee May 2021 B2
11046996 Chee et al. Jun 2021 B1
11067567 Chee Jul 2021 B2
11104936 Zhang et al. Aug 2021 B2
11118216 Koshinsky et al. Sep 2021 B2
11156603 Chee Oct 2021 B2
11162132 Frisen et al. Nov 2021 B2
11208684 Chee Dec 2021 B2
11214796 Shirai et al. Jan 2022 B2
11286515 Chee et al. Mar 2022 B2
11293917 Chee Apr 2022 B2
11299774 Frisen et al. Apr 2022 B2
11313856 Chee Apr 2022 B2
11332790 Chell et al. May 2022 B2
11352659 Frisen et al. Jun 2022 B2
11352667 Hauling et al. Jun 2022 B2
11359228 Chee et al. Jun 2022 B2
11365442 Chee Jun 2022 B2
11371086 Chee Jun 2022 B2
11384386 Chee Jul 2022 B2
11390912 Frisen et al. Jul 2022 B2
11401545 Chee Aug 2022 B2
11407992 Dadhwal Aug 2022 B2
11408029 Katiraee et al. Aug 2022 B2
11434524 Ramachandran Iyer et al. Sep 2022 B2
11459607 Terry et al. Oct 2022 B1
11479809 Frisen et al. Oct 2022 B2
11479810 Chee Oct 2022 B1
11492612 Dadhwal Nov 2022 B1
11501440 Weisenfeld et al. Nov 2022 B2
11505828 Chell et al. Nov 2022 B2
11512308 Gallant et al. Nov 2022 B2
11519022 Chee Dec 2022 B2
11519033 Schnall-Levin et al. Dec 2022 B2
11530438 Persson et al. Dec 2022 B2
11535887 Gallant et al. Dec 2022 B2
11542543 Chee Jan 2023 B2
11549138 Chee Jan 2023 B2
11560587 Chee Jan 2023 B2
11560592 Chew et al. Jan 2023 B2
11560593 Chell et al. Jan 2023 B2
11592447 Uytingco et al. Feb 2023 B2
11608498 Gallant et al. Mar 2023 B2
11608520 Galonska et al. Mar 2023 B2
11613773 Frisen et al. Mar 2023 B2
11618897 Kim et al. Apr 2023 B2
11618918 Chee et al. Apr 2023 B2
11624063 Dadhwal Apr 2023 B2
11624086 Uytingco et al. Apr 2023 B2
11634756 Chee Apr 2023 B2
11649485 Yin et al. May 2023 B2
11661626 Katiraee et al. May 2023 B2
11680260 Kim et al. Jun 2023 B2
11692218 Engblom et al. Jul 2023 B2
11702693 Bharadwaj Jul 2023 B2
11702698 Stoeckius Jul 2023 B2
11713480 Lee Aug 2023 B2
11732292 Chee Aug 2023 B2
11732299 Ramachandran Iyer Aug 2023 B2
11732300 Bava Aug 2023 B2
11733238 Chee Aug 2023 B2
11739372 Frisen et al. Aug 2023 B2
11739381 Chew et al. Aug 2023 B2
11753673 Chew et al. Sep 2023 B2
11753674 Chee et al. Sep 2023 B2
11753675 Ramachandran Iyer Sep 2023 B2
11761030 Chee Sep 2023 B2
11761038 Stoeckius Sep 2023 B1
11767550 Chee Sep 2023 B2
11768175 Kim et al. Sep 2023 B1
11773433 Gallant et al. Oct 2023 B2
11781130 Dadhwal Oct 2023 B2
11788122 Frisen et al. Oct 2023 B2
11795498 Frisen et al. Oct 2023 B2
11795507 Chell et al. Oct 2023 B2
11808769 Uytingco et al. Nov 2023 B2
11821024 Chee et al. Nov 2023 B2
11821035 Bent et al. Nov 2023 B1
11827935 Ramachandran Iyer et al. Nov 2023 B1
11835462 Bava Dec 2023 B2
11840687 Gallant et al. Dec 2023 B2
11840724 Chew et al. Dec 2023 B2
11845979 Engblom et al. Dec 2023 B2
11859178 Gallant et al. Jan 2024 B2
11866767 Uytingco et al. Jan 2024 B2
11866770 Chee Jan 2024 B2
11873482 Kim et al. Jan 2024 B2
11891654 Alvarado Martinez et al. Feb 2024 B2
11898205 Bava Feb 2024 B2
11926822 Gohil et al. Mar 2024 B1
11926863 Boutet Mar 2024 B1
11926867 Yin et al. Mar 2024 B2
11933957 Tentori et al. Mar 2024 B1
11952627 Stoeckius Apr 2024 B2
11959076 Kim et al. Apr 2024 B2
11959130 Galonska et al. Apr 2024 B2
11965213 Williams Apr 2024 B2
11970739 Chew et al. Apr 2024 B2
11981958 Galonska May 2024 B1
11981960 Lin et al. May 2024 B1
11981965 Chell et al. May 2024 B2
RE50065 Frisen et al. Jul 2024 E
12024741 Tentori et al. Jul 2024 B2
12031177 Tentori et al. Jul 2024 B1
12060604 Katiraee et al. Aug 2024 B2
12071655 Sukovich et al. Aug 2024 B2
12076701 Bava Sep 2024 B2
12098417 Engblom et al. Sep 2024 B2
12098985 Cox et al. Sep 2024 B2
12110541 Bava Oct 2024 B2
12117439 Delaney et al. Oct 2024 B2
12128403 Kim et al. Oct 2024 B2
12129516 Tentori et al. Oct 2024 B2
12157124 Cox et al. Dec 2024 B2
12180543 Uytingco et al. Dec 2024 B2
12195790 Sukovich et al. Jan 2025 B2
12203134 Nagendran et al. Jan 2025 B2
12209280 Mignardi et al. Jan 2025 B1
D1064308 Alimsijah et al. Feb 2025 S
12223751 Li et al. Feb 2025 B2
12228544 Kim et al. Feb 2025 B2
12234505 Chee Feb 2025 B2
12241060 Kim et al. Mar 2025 B2
12241890 Delaney et al. Mar 2025 B2
20010055764 Empendocles et al. Dec 2001 A1
20020040275 Cravatt Apr 2002 A1
20020051986 Baez et al. May 2002 A1
20020055100 Kawashima May 2002 A1
20020058250 Firth May 2002 A1
20020086441 Baranov et al. Jul 2002 A1
20020164611 Bamdad Nov 2002 A1
20030017451 Wang et al. Jan 2003 A1
20030022207 Balasubramanian Jan 2003 A1
20030064398 Barnes Apr 2003 A1
20030092624 Wang et al. May 2003 A1
20030138879 Lambalot Jul 2003 A1
20030148335 Shen et al. Aug 2003 A1
20030162216 Gold Aug 2003 A1
20030165948 Alsmadi et al. Sep 2003 A1
20030211489 Shen et al. Nov 2003 A1
20030224419 Corcoran Dec 2003 A1
20030232348 Jones et al. Dec 2003 A1
20030232382 Brennan Dec 2003 A1
20030235854 Chan et al. Dec 2003 A1
20040033499 Ilsley et al. Feb 2004 A1
20040067492 Peng et al. Apr 2004 A1
20040082059 Webb et al. Apr 2004 A1
20040096853 Mayer May 2004 A1
20040106110 Balasubramanian Jun 2004 A1
20040235103 Reznikoff et al. Nov 2004 A1
20040241660 Wojtowicz et al. Dec 2004 A1
20040248325 Bukusoglu et al. Dec 2004 A1
20040259105 Fan et al. Dec 2004 A1
20050003431 Wucherpfennig Jan 2005 A1
20050014203 Darfler et al. Jan 2005 A1
20050037393 Gunderson et al. Feb 2005 A1
20050048580 Labaer Mar 2005 A1
20050064460 Holliger et al. Mar 2005 A1
20050095627 Kolman et al. May 2005 A1
20050100900 Kawashima et al. May 2005 A1
20050130173 Leamon et al. Jun 2005 A1
20050136414 Gunderson et al. Jun 2005 A1
20050164292 Farooqui Jul 2005 A1
20050170373 Monforte Aug 2005 A1
20050191656 Drmanac et al. Sep 2005 A1
20050191698 Chee et al. Sep 2005 A1
20050202433 Van Beuningen Sep 2005 A1
20050227271 Kwon Oct 2005 A1
20050239119 Tsukada et al. Oct 2005 A1
20050260653 LaBaer Nov 2005 A1
20050266417 Barany et al. Dec 2005 A1
20060041385 Bauer et al. Feb 2006 A1
20060046313 Roth Mar 2006 A1
20060084078 Zhao Apr 2006 A1
20060105352 Qiao et al. May 2006 A1
20060154286 Kong et al. Jul 2006 A1
20060188901 Barnes et al. Aug 2006 A1
20060199183 Valat et al. Sep 2006 A1
20060211001 Yu et al. Sep 2006 A1
20060216775 Burkart et al. Sep 2006 A1
20060240439 Smith et al. Oct 2006 A1
20060263789 Kincaid Nov 2006 A1
20060275782 Gunderson et al. Dec 2006 A1
20060281109 Barr Ost et al. Dec 2006 A1
20070020640 McCloskey et al. Jan 2007 A1
20070020669 Ericsson Jan 2007 A1
20070026430 Andersen et al. Feb 2007 A1
20070054288 Su et al. Mar 2007 A1
20070087360 Boyd Apr 2007 A1
20070099208 Drmanac et al. May 2007 A1
20070128624 Gormley et al. Jun 2007 A1
20070128656 Agrawal Jun 2007 A1
20070134723 Kozlov et al. Jun 2007 A1
20070161020 Luo et al. Jul 2007 A1
20070166705 Milton et al. Jul 2007 A1
20070172873 Brenner et al. Jul 2007 A1
20070207482 Church et al. Sep 2007 A1
20070254305 Paik et al. Nov 2007 A1
20070269805 Hogers Nov 2007 A1
20080003586 Hyde et al. Jan 2008 A1
20080009420 Schroth et al. Jan 2008 A1
20080108082 Rank et al. May 2008 A1
20080108804 Hayashizaki et al. May 2008 A1
20080132429 Perov et al. Jun 2008 A1
20080160580 Adessi et al. Jul 2008 A1
20080220434 Thomas Sep 2008 A1
20080261204 Lexow Oct 2008 A1
20080286795 Kawashima et al. Nov 2008 A1
20080293046 Allawi et al. Nov 2008 A1
20090005252 Drmanac et al. Jan 2009 A1
20090006002 Honisch et al. Jan 2009 A1
20090018024 Church et al. Jan 2009 A1
20090026082 Rothberg et al. Jan 2009 A1
20090036323 van Eijk et al. Feb 2009 A1
20090082212 Williams Mar 2009 A1
20090099041 Church et al. Apr 2009 A1
20090105959 Braverman et al. Apr 2009 A1
20090117573 Fu et al. May 2009 A1
20090127589 Rothberg et al. May 2009 A1
20090155781 Drmanac et al. Jun 2009 A1
20090170713 van Eijk et al. Jul 2009 A1
20090202998 Schlumpberger et al. Aug 2009 A1
20090233802 Bignell et al. Sep 2009 A1
20090253581 van Eijk et al. Oct 2009 A1
20090270273 Burns et al. Oct 2009 A1
20090283407 Van Eijk et al. Nov 2009 A1
20090286249 Bekcer et al. Nov 2009 A1
20090291854 Weisinger-Mayr et al. Nov 2009 A1
20090312193 Kim et al. Dec 2009 A1
20100035249 Hayashizaki et al. Feb 2010 A1
20100069263 Shendure et al. Mar 2010 A1
20100105052 Drmanac et al. Apr 2010 A1
20100120097 Matz et al. May 2010 A1
20100120098 Grunenwald et al. May 2010 A1
20100129874 Mitra et al. May 2010 A1
20100145037 Brive et al. Jun 2010 A1
20100173384 Johnsson et al. Jul 2010 A1
20100184618 Namsaraev et al. Jul 2010 A1
20100210475 Lee et al. Aug 2010 A1
20100227329 Cuppens Sep 2010 A1
20100273219 May et al. Oct 2010 A1
20110028685 Purkayastha et al. Feb 2011 A1
20110033854 Drmanac et al. Feb 2011 A1
20110045462 Fu et al. Feb 2011 A1
20110059436 Hardin et al. Mar 2011 A1
20110111409 Sinicropi et al. May 2011 A1
20110152111 Fan et al. Jun 2011 A1
20110245101 Chee et al. Oct 2011 A1
20110245111 Chee Oct 2011 A1
20110287435 Grunenwald et al. Nov 2011 A1
20120021930 Schoen et al. Jan 2012 A1
20120046175 Rodesch et al. Feb 2012 A1
20120046178 Van Den Boom et al. Feb 2012 A1
20120065081 Chee Mar 2012 A1
20120135871 van Eijk et al. May 2012 A1
20120202698 van Eijk et al. Aug 2012 A1
20120202704 Fan et al. Aug 2012 A1
20120220479 Ericsson et al. Aug 2012 A1
20120245053 Shirai et al. Sep 2012 A1
20120252702 Muratani et al. Oct 2012 A1
20120258871 Kozlov et al. Oct 2012 A1
20120289414 Mitra et al. Nov 2012 A1
20120301925 Belyaev Nov 2012 A1
20130005594 Terbrueggen et al. Jan 2013 A1
20130005600 Olek Jan 2013 A1
20130023433 Luo et al. Jan 2013 A1
20130035239 Kong et al. Feb 2013 A1
20130040842 Lim et al. Feb 2013 A1
20130065768 Zheng et al. Mar 2013 A1
20130079232 Kain et al. Mar 2013 A1
20130171621 Luo et al. Jul 2013 A1
20130244884 Jacobson et al. Sep 2013 A1
20130261019 Lin et al. Oct 2013 A1
20130302801 Asbury et al. Nov 2013 A1
20130338042 Shen et al. Dec 2013 A1
20140066318 Frisen Mar 2014 A1
20140121118 Warner May 2014 A1
20140270435 Dunn Sep 2014 A1
20140274731 Raymond et al. Sep 2014 A1
20140323330 Glezer et al. Oct 2014 A1
20140342921 Weiner Nov 2014 A1
20140378350 Hindson et al. Dec 2014 A1
20150000854 Gann-Fetter et al. Jan 2015 A1
20150292988 Bharadwaj et al. Oct 2015 A1
20150344942 Frisen et al. Dec 2015 A1
20160019337 Roberts et al. Jan 2016 A1
20160024576 Chee Jan 2016 A1
20160041159 Labaer et al. Feb 2016 A1
20160060687 Zhu et al. Mar 2016 A1
20160108458 Frei et al. Apr 2016 A1
20160122817 Jarosz et al. May 2016 A1
20160138091 Chee et al. May 2016 A1
20160145677 Chee et al. May 2016 A1
20160194692 Gore et al. Jul 2016 A1
20160201125 Samuels et al. Jul 2016 A1
20160253584 Fodor Sep 2016 A1
20160289740 Fu et al. Oct 2016 A1
20160298180 Chee Oct 2016 A1
20160305856 Boyden et al. Oct 2016 A1
20160333403 Chee Nov 2016 A1
20160376642 Landegren et al. Dec 2016 A1
20170009278 Söderberg et al. Jan 2017 A1
20170016053 Beechem et al. Jan 2017 A1
20170029875 Zhang et al. Feb 2017 A1
20170058339 Chee Mar 2017 A1
20170058340 Chee Mar 2017 A1
20170058345 Chee Mar 2017 A1
20170067096 Wassie et al. Mar 2017 A1
20170088881 Chee Mar 2017 A1
20170089811 Tillberg et al. Mar 2017 A1
20170159109 Zheng et al. Jun 2017 A1
20170166962 van Eijk et al. Jun 2017 A1
20170220733 Zhuang et al. Aug 2017 A1
20170233722 Seelig et al. Aug 2017 A1
20170241911 Rockel et al. Aug 2017 A1
20170283860 Kool et al. Oct 2017 A1
20170335297 Ha et al. Nov 2017 A1
20170335410 Driscoll et al. Nov 2017 A1
20170342405 Fu et al. Nov 2017 A1
20170349940 Morin et al. Dec 2017 A1
20180051322 Church et al. Feb 2018 A1
20180057873 Zhou et al. Mar 2018 A1
20180080019 Blainey et al. Mar 2018 A1
20180088112 Fan et al. Mar 2018 A1
20180094316 Oliphant et al. Apr 2018 A1
20180112261 Van Driel et al. Apr 2018 A1
20180127817 Borchert et al. May 2018 A1
20180163265 Zhang et al. Jun 2018 A1
20180179591 van Eijk Jun 2018 A1
20180201925 Steemers et al. Jul 2018 A1
20180201980 Chee et al. Jul 2018 A1
20180208967 Larman et al. Jul 2018 A1
20180216161 Chen et al. Aug 2018 A1
20180216162 Belhocine et al. Aug 2018 A1
20180237864 Imler et al. Aug 2018 A1
20180245142 So et al. Aug 2018 A1
20180247017 van Eijk et al. Aug 2018 A1
20180291427 Edelman Oct 2018 A1
20180291439 van Eijk et al. Oct 2018 A1
20180305681 Jovanovich et al. Oct 2018 A1
20180312822 Lee et al. Nov 2018 A1
20180320226 Church et al. Nov 2018 A1
20180334670 Bharadwaj et al. Nov 2018 A1
20190055594 Samusik et al. Feb 2019 A1
20190064173 Bharadwaj et al. Feb 2019 A1
20190071656 Chang et al. Mar 2019 A1
20190085383 Church et al. Mar 2019 A1
20190119735 Deisseroth et al. Apr 2019 A1
20190135774 Orbai May 2019 A1
20190145982 Chee et al. May 2019 A1
20190161796 Hauling et al. May 2019 A1
20190177777 Chee Jun 2019 A1
20190177778 Chee Jun 2019 A1
20190177789 Hindson et al. Jun 2019 A1
20190177800 Boutet et al. Jun 2019 A1
20190194709 Church et al. Jun 2019 A1
20190203275 Frisen et al. Jul 2019 A1
20190218276 Regev et al. Jul 2019 A1
20190218608 Daugharthy et al. Jul 2019 A1
20190233878 Delaney et al. Aug 2019 A1
20190233880 Mir Aug 2019 A1
20190249226 Bent et al. Aug 2019 A1
20190262831 West et al. Aug 2019 A1
20190264268 Frisen et al. Aug 2019 A1
20190271028 Khafizov et al. Sep 2019 A1
20190271030 Chee Sep 2019 A1
20190271031 Chee Sep 2019 A1
20190300943 Chee et al. Oct 2019 A1
20190300944 Chee et al. Oct 2019 A1
20190300945 Chee et al. Oct 2019 A1
20190309353 Chee Oct 2019 A1
20190309354 Chee Oct 2019 A1
20190309355 Chee Oct 2019 A1
20190323071 Chee Oct 2019 A1
20190323088 Boutet et al. Oct 2019 A1
20190330617 Church et al. Oct 2019 A1
20190338353 Belgrader et al. Nov 2019 A1
20190360034 Zhou et al. Nov 2019 A1
20190360043 Pham et al. Nov 2019 A1
20190367969 Belhocine et al. Dec 2019 A1
20190367982 Belhocine et al. Dec 2019 A1
20190367997 Bent et al. Dec 2019 A1
20200002763 Belgrader et al. Jan 2020 A1
20200010891 Beechem et al. Jan 2020 A1
20200024641 Nolan et al. Jan 2020 A1
20200047010 Lee et al. Feb 2020 A1
20200048690 Chee Feb 2020 A1
20200063191 Kennedy-Darling et al. Feb 2020 A1
20200063195 Chee Feb 2020 A1
20200063196 Chee Feb 2020 A1
20200071751 Daugharthy et al. Mar 2020 A1
20200080136 Zhang et al. Mar 2020 A1
20200109443 Chee Apr 2020 A1
20200123597 Daniel Apr 2020 A1
20200140920 Pierce et al. May 2020 A1
20200173985 Dong et al. Jun 2020 A1
20200199565 Chen et al. Jun 2020 A1
20200199572 Kuersten et al. Jun 2020 A1
20200224244 Nilsson et al. Jul 2020 A1
20200239874 Mikkelsen Jul 2020 A1
20200239946 Dewal Jul 2020 A1
20200256867 Hennek et al. Aug 2020 A1
20200277663 Iyer Sep 2020 A1
20200277664 Frenz Sep 2020 A1
20200283852 Oliphant et al. Sep 2020 A1
20200299757 Chee et al. Sep 2020 A1
20200325531 Chee Oct 2020 A1
20200362398 Kishi et al. Nov 2020 A1
20200370095 Farmer et al. Nov 2020 A1
20200399687 Frisen et al. Dec 2020 A1
20200407781 Schnall-Levin Dec 2020 A1
20210010068 Chee et al. Jan 2021 A1
20210010070 Schnall-Levin et al. Jan 2021 A1
20210017587 Cai et al. Jan 2021 A1
20210095331 Fan et al. Apr 2021 A1
20210115504 Cai et al. Apr 2021 A1
20210123040 Macosko et al. Apr 2021 A1
20210130881 Cox May 2021 A1
20210140982 Uytingco et al. May 2021 A1
20210150707 Weisenfeld et al. May 2021 A1
20210155982 Yin et al. May 2021 A1
20210158522 Weisenfeld et al. May 2021 A1
20210172007 Chee et al. Jun 2021 A1
20210189475 Tentori et al. Jun 2021 A1
20210190770 Delaney et al. Jun 2021 A1
20210198741 Williams Jul 2021 A1
20210199660 Williams et al. Jul 2021 A1
20210207202 Chee Jul 2021 A1
20210214785 Stoeckius Jul 2021 A1
20210222235 Chee Jul 2021 A1
20210222241 Bharadwaj Jul 2021 A1
20210222242 Ramachandran Iyer Jul 2021 A1
20210222253 Uytingco Jul 2021 A1
20210223227 Stoeckius Jul 2021 A1
20210230584 Mikkelsen et al. Jul 2021 A1
20210230681 Patterson et al. Jul 2021 A1
20210230692 Daugharthy et al. Jul 2021 A1
20210237022 Bava Aug 2021 A1
20210238581 Mikkelsen et al. Aug 2021 A1
20210238664 Bava et al. Aug 2021 A1
20210238675 Bava Aug 2021 A1
20210238680 Bava Aug 2021 A1
20210247316 Bava Aug 2021 A1
20210255175 Chee et al. Aug 2021 A1
20210262018 Bava et al. Aug 2021 A1
20210262019 Alvarado Martinez et al. Aug 2021 A1
20210269864 Chee Sep 2021 A1
20210270822 Chee Sep 2021 A1
20210285036 Yin et al. Sep 2021 A1
20210285046 Chell et al. Sep 2021 A1
20210292748 Frisen et al. Sep 2021 A1
20210292822 Frisen et al. Sep 2021 A1
20210317510 Chee et al. Oct 2021 A1
20210317524 Lucero et al. Oct 2021 A1
20210324457 Ramachandran Iyer et al. Oct 2021 A1
20210332424 Schnall-Levin Oct 2021 A1
20210332425 Pfeiffer et al. Oct 2021 A1
20210348221 Chell et al. Nov 2021 A1
20220002791 Frisen et al. Jan 2022 A1
20220003755 Chee Jan 2022 A1
20220010367 Ramachandran Iyer et al. Jan 2022 A1
20220017951 Ramachandran Iyer et al. Jan 2022 A1
20220025446 Shah Jan 2022 A1
20220025447 Tentori et al. Jan 2022 A1
20220033888 Schnall-Levin et al. Feb 2022 A1
20220049293 Frenz et al. Feb 2022 A1
20220049294 Uytingco et al. Feb 2022 A1
20220064630 Bent et al. Mar 2022 A1
20220081728 Williams Mar 2022 A1
20220090058 Frisen et al. Mar 2022 A1
20220090175 Uytingco et al. Mar 2022 A1
20220090181 Gallant et al. Mar 2022 A1
20220098576 Dadhwal Mar 2022 A1
20220098661 Chew et al. Mar 2022 A1
20220106632 Galonska et al. Apr 2022 A1
20220106633 Engblom et al. Apr 2022 A1
20220112486 Ramachandran Iyer et al. Apr 2022 A1
20220112545 Chee Apr 2022 A1
20220119869 Ramachandran Iyer et al. Apr 2022 A1
20220127659 Frisen et al. Apr 2022 A1
20220127666 Katiraee et al. Apr 2022 A1
20220127672 Stoeckius Apr 2022 A1
20220145361 Frenz et al. May 2022 A1
20220154255 Chee et al. May 2022 A1
20220170083 Khaled et al. Jun 2022 A1
20220195422 Gallant et al. Jun 2022 A1
20220195505 Frisen et al. Jun 2022 A1
20220196644 Chee Jun 2022 A1
20220213526 Frisen et al. Jul 2022 A1
20220220544 Ach et al. Jul 2022 A1
20220241780 Tentori et al. Aug 2022 A1
20220267844 Ramachandran Iyer et al. Aug 2022 A1
20220282329 Chell et al. Sep 2022 A1
20220290217 Frenz et al. Sep 2022 A1
20220290219 Chee Sep 2022 A1
20220298560 Frisen et al. Sep 2022 A1
20220325325 Chee et al. Oct 2022 A1
20220326251 Uytingco et al. Oct 2022 A1
20220333171 Chee Oct 2022 A1
20220333191 Mikkelsen et al. Oct 2022 A1
20220333192 Uytingco Oct 2022 A1
20220333195 Schnall-Levin et al. Oct 2022 A1
20220334031 Delaney et al. Oct 2022 A1
20220348905 Dadhwal Nov 2022 A1
20220348992 Stoeckius et al. Nov 2022 A1
20220356464 Kim et al. Nov 2022 A1
20220364163 Stahl Nov 2022 A1
20220389491 Chee Dec 2022 A1
20220389503 Mikkelsen et al. Dec 2022 A1
20220389504 Chew et al. Dec 2022 A1
20220403455 Ramachandran Iyer et al. Dec 2022 A1
20220404245 Chell et al. Dec 2022 A1
20230002812 Stoeckius et al. Jan 2023 A1
20230014008 Shastry Jan 2023 A1
20230017773 Kim et al. Jan 2023 A1
20230416807 Chee Jan 2023 A1
20230416808 Sukovich et al. Jan 2023 A1
20230031305 Hernandez Neuta et al. Feb 2023 A1
20230033960 Gallant et al. Feb 2023 A1
20230034039 Shahjamali Feb 2023 A1
20230034216 Bava Feb 2023 A1
20230040363 Chee Feb 2023 A1
20230042088 Chee Feb 2023 A1
20230042817 Mignardi Feb 2023 A1
20230047782 Tentori et al. Feb 2023 A1
20230056549 Dadhwal Feb 2023 A1
20230064372 Chell et al. Mar 2023 A1
20230069046 Chew et al. Mar 2023 A1
20230077364 Patterson et al. Mar 2023 A1
20230080543 Katiraee et al. Mar 2023 A1
20230081381 Chew et al. Mar 2023 A1
20230100497 Frisen et al. Mar 2023 A1
20230107023 Chee Apr 2023 A1
20230111225 Chew et al. Apr 2023 A1
20230113230 Kim et al. Apr 2023 A1
20230126825 Nagendran et al. Apr 2023 A1
20230129552 Ramachandran Iyer Apr 2023 A1
20230135010 Tentori et al. May 2023 A1
20230143569 Iyer et al. May 2023 A1
20230145575 Gallant et al. May 2023 A1
20230147726 Hadrup et al. May 2023 A1
20230151412 Chee May 2023 A1
20230159994 Chee May 2023 A1
20230159995 Iyer et al. May 2023 A1
20230160008 Chell et al. May 2023 A1
20230175045 Katsori et al. Jun 2023 A1
20230183785 Frisen et al. Jun 2023 A1
20230194469 Tentori et al. Jun 2023 A1
20230194470 Kim et al. Jun 2023 A1
20230203478 Kim et al. Jun 2023 A1
20230183684 Gallant et al. Jul 2023 A1
20230212650 Chew et al. Jul 2023 A1
20230212655 Chee Jul 2023 A1
20230220368 Kim Jul 2023 A1
20230220454 Bent et al. Jul 2023 A1
20230220455 Galonska et al. Jul 2023 A1
20230227811 Dadhwal Jul 2023 A1
20230228762 Uytingco et al. Jul 2023 A1
20230242973 Frisen et al. Aug 2023 A1
20230242976 Tentori et al. Aug 2023 A1
20230265488 Gohil et al. Aug 2023 A1
20230265489 Uytingco et al. Aug 2023 A1
20230265491 Tentori et al. Aug 2023 A1
20230267625 Tentori et al. Aug 2023 A1
20230279474 Katiraee Sep 2023 A1
20230279477 Kvastad et al. Sep 2023 A1
20230279481 Marrache et al. Sep 2023 A1
20230287399 Gallant et al. Sep 2023 A1
20230287475 Chell et al. Sep 2023 A1
20230287481 Katsori et al. Sep 2023 A1
20230295699 Sukovich et al. Sep 2023 A1
20230295722 Bharadwaj Sep 2023 A1
20230304072 Gohil et al. Sep 2023 A1
20230304074 Chee et al. Sep 2023 A1
20230304078 Frisen et al. Sep 2023 A1
20230313279 Giacomello et al. Oct 2023 A1
20230323340 Dadhwal Oct 2023 A1
20230323434 Yin et al. Oct 2023 A1
20230323436 Chee Oct 2023 A1
20230323447 Schnall-Levin et al. Oct 2023 A1
20230323453 Stoeckius Oct 2023 A1
20230332138 Kim et al. Oct 2023 A1
20230332211 Chee Oct 2023 A1
20230332212 Chew et al. Oct 2023 A1
20230332227 Ramachandran Iyer Oct 2023 A1
20230332247 Singh et al. Oct 2023 A1
20230351619 Tentori et al. Nov 2023 A1
20230358733 Chee Nov 2023 A1
20230366008 Chew et al. Nov 2023 A1
20230383285 Kim et al. Nov 2023 A1
20230383344 Stoeckius Nov 2023 A1
20230392204 Chell et al. Dec 2023 A1
20230393071 Bava Dec 2023 A1
20230407404 Baumgartner et al. Dec 2023 A1
20230416850 Singh et al. Dec 2023 A1
20240011081 Chee Jan 2024 A1
20240011090 Chew et al. Jan 2024 A1
20240018572 Mignardi Jan 2024 A1
20240018575 Gallant et al. Jan 2024 A1
20240018589 Schnall-Levin et al. Jan 2024 A1
20240026445 Ramachandran Iyer et al. Jan 2024 A1
20240033743 Tentori et al. Feb 2024 A1
20240035937 Cox et al. Feb 2024 A1
20240043908 Chew et al. Feb 2024 A1
20240043925 Bent et al. Feb 2024 A1
20240052343 Gallant et al. Feb 2024 A1
20240053351 Uytingco et al. Feb 2024 A1
20240060115 Chee et al. Feb 2024 A1
20240067953 Mikkelsen et al. Feb 2024 A1
20240068016 Frisen et al. Feb 2024 A1
20240068017 Lundeberg et al. Feb 2024 A1
20240076723 Mignardi Mar 2024 A1
20240080346 Engblom et al. Mar 2024 A1
20240084365 Frisen et al. Mar 2024 A1
20240084366 Chee Mar 2024 A1
20240084383 Ramachandran Iyer et al. Mar 2024 A1
20240093274 Frisen et al. Mar 2024 A1
20240093290 Stahl et al. Mar 2024 A1
20240110228 Uytingco et al. Apr 2024 A1
20240124933 Chell et al. Apr 2024 A1
20240125772 Delaney et al. Apr 2024 A1
20240141327 Kim et al. May 2024 A1
20240158838 Alvarado Martinez et al. May 2024 A1
20240175080 Galonska et al. May 2024 A1
20240182968 Bava Jun 2024 A1
20240191286 Boutet et al. Jun 2024 A1
20240200121 Boutet Jun 2024 A1
20240209425 Yin et al. Jun 2024 A1
20240218427 Sukovich et al. Jul 2024 A1
20240218432 Mielinis Jul 2024 A1
20240219701 Tentori et al. Jul 2024 A1
20240253036 Kim et al. Aug 2024 A1
20240263218 Katiraee et al. Aug 2024 A1
20240271190 Stoeckius et al. Aug 2024 A1
20240271195 Mikhaiel et al. Aug 2024 A1
20240279747 Williams Aug 2024 A1
20240287600 Iyer et al. Aug 2024 A1
20240294971 Galonska Sep 2024 A1
20240294974 Galonska et al. Sep 2024 A1
20240294975 Lin et al. Sep 2024 A1
20240301488 Stoeckius Sep 2024 A1
20240301489 Chew et al. Sep 2024 A1
20240360494 Costa et al. Oct 2024 A1
20240368711 Giacomello et al. Nov 2024 A1
20240377297 Cox et al. Nov 2024 A1
20240385088 Kim et al. Nov 2024 A1
20240392349 Frisen et al. Nov 2024 A1
20240392351 Chee Nov 2024 A1
20240392352 Stahl et al. Nov 2024 A1
20240392353 Engblom et al. Nov 2024 A1
20240401109 Kim et al. Dec 2024 A1
20240401117 Bava Dec 2024 A1
20240401118 Tentori et al. Dec 2024 A1
20240404301 Li et al. Dec 2024 A1
20240408593 Kim et al. Dec 2024 A1
20240416315 Bava Dec 2024 A1
20240417783 Chew et al. Dec 2024 A1
20240417784 Sukovich et al. Dec 2024 A1
20250002980 Tentori et al. Jan 2025 A1
20250002982 Stoeckius et al. Jan 2025 A1
20250003956 Delaney et al. Jan 2025 A1
20250019689 Galonska et al. Jan 2025 A1
20250019749 Katiraee et al. Jan 2025 A1
Foreign Referenced Citations (264)
Number Date Country
2003200718 Oct 2006 AU
1273609 Nov 2000 CN
1537953 Oct 2004 CN
1680604 Oct 2005 CN
1749752 Mar 2006 CN
1898398 Jan 2007 CN
101142325 Mar 2008 CN
101221182 Jul 2008 CN
101522915 Sep 2009 CN
107849606 Mar 2018 CN
108949924 Dec 2018 CN
1782737 May 2007 EP
1910562 Apr 2008 EP
1923471 May 2008 EP
2002017 Dec 2008 EP
2130913 Dec 2009 EP
2292788 Mar 2011 EP
2302070 Mar 2011 EP
2881465 Jun 2015 EP
3013984 May 2016 EP
3511423 Jul 2019 EP
3541956 Sep 2019 EP
2520765 Jun 2015 GB
2007-014297 Jan 2007 JP
2007-074967 Mar 2007 JP
2009-036694 Feb 2009 JP
WO 1989010977 Nov 1989 WO
WO 1991006678 May 1991 WO
WO 1993004199 Mar 1993 WO
WO 1995023875 Sep 1995 WO
WO 1995025116 Sep 1995 WO
WO 1995035505 Dec 1995 WO
WO 1997031256 Aug 1997 WO
WO 2000017390 Mar 2000 WO
WO 2001006012 Jan 2001 WO
WO 2001009363 Feb 2001 WO
WO 2001012862 Feb 2001 WO
WO 2001042796 Jun 2001 WO
WO 2001046402 Jun 2001 WO
WO 2001059161 Aug 2001 WO
WO 2001090415 Nov 2001 WO
WO 2001096608 Dec 2001 WO
WO 2002040874 May 2002 WO
WO 2002059355 Aug 2002 WO
WO 2002059364 Aug 2002 WO
WO 2002077283 Oct 2002 WO
WO 2003002979 Jan 2003 WO
WO 2003008538 Jan 2003 WO
WO 2003010176 Feb 2003 WO
WO 2003102233 Dec 2003 WO
WO 2004015080 Feb 2004 WO
WO 2004067759 Aug 2004 WO
WO 2004081225 Sep 2004 WO
WO 2005007814 Jan 2005 WO
WO 2005010145 Feb 2005 WO
WO 2005026387 Mar 2005 WO
WO 2005042759 May 2005 WO
WO 2005113804 Dec 2005 WO
WO 2006020515 Feb 2006 WO
WO 2006124771 Nov 2006 WO
WO 2007041689 Apr 2007 WO
WO 2007060599 May 2007 WO
WO 2007073171 Jun 2007 WO
WO 2007076726 Jul 2007 WO
WO 2007139766 Dec 2007 WO
WO 2007145612 Dec 2007 WO
WO 2008069906 Jun 2008 WO
WO 2008075086 Jun 2008 WO
WO 2009032167 Mar 2009 WO
WO 2009137521 Nov 2009 WO
WO 2009152928 Dec 2009 WO
WO 2010019826 Feb 2010 WO
WO 2010027870 Mar 2010 WO
WO 2010088517 Aug 2010 WO
WO 2010126614 Nov 2010 WO
WO 2011008502 Jan 2011 WO
WO 2011062933 May 2011 WO
WO 2011068088 Jun 2011 WO
WO 2012049316 Apr 2012 WO
WO 2012061832 May 2012 WO
WO 2012071428 May 2012 WO
WO 2012129242 Sep 2012 WO
WO 2012159089 Nov 2012 WO
WO 2013022807 Feb 2013 WO
WO 2013123442 Aug 2013 WO
WO 2013131962 Sep 2013 WO
WO 2013138510 Sep 2013 WO
WO 2013142389 Sep 2013 WO
WO 2013150082 Oct 2013 WO
WO 2013150083 Oct 2013 WO
WO 2014044724 Mar 2014 WO
WO 2014060483 Apr 2014 WO
WO 2014071361 May 2014 WO
WO 2014130576 Aug 2014 WO
WO 2014144713 Sep 2014 WO
WO 2014152397 Sep 2014 WO
WO 2014210223 Dec 2014 WO
WO 2014210225 Dec 2014 WO
WO 2014210353 Dec 2014 WO
WO 2015031691 Mar 2015 WO
WO 2015069374 May 2015 WO
WO 2015161173 Oct 2015 WO
WO 2016077763 May 2016 WO
WO 2016100196 Jun 2016 WO
WO 2016138496 Sep 2016 WO
WO 2016138500 Sep 2016 WO
WO 2016166128 Oct 2016 WO
WO 2016168825 Oct 2016 WO
WO 2016172362 Oct 2016 WO
WO 2017019456 Feb 2017 WO
WO 2017019481 Feb 2017 WO
WO 2017044993 Mar 2017 WO
WO 2017075293 May 2017 WO
WO 2017096158 Jul 2017 WO
WO 2017143155 Aug 2017 WO
WO 2017156336 Sep 2017 WO
WO 2017184984 Oct 2017 WO
WO 2017192633 Nov 2017 WO
WO 2018023068 Feb 2018 WO
WO 2018026873 Feb 2018 WO
WO 2018045181 Mar 2018 WO
WO 2018064640 Apr 2018 WO
WO 2018085599 May 2018 WO
WO 2018089550 May 2018 WO
WO 2018091676 May 2018 WO
WO 2018136856 Jul 2018 WO
WO 2018144582 Aug 2018 WO
WO 2018175779 Sep 2018 WO
WO 2018209398 Nov 2018 WO
WO 2019023214 Jan 2019 WO
WO 2019032760 Feb 2019 WO
WO 2019068880 Apr 2019 WO
WO 2019113457 Jun 2019 WO
WO 2019126313 Jun 2019 WO
WO 2019140201 Jul 2019 WO
WO 2019165318 Aug 2019 WO
WO 2019213254 Nov 2019 WO
WO 2019213294 Nov 2019 WO
WO 2019241290 Dec 2019 WO
WO 2020028194 Feb 2020 WO
WO 2020047002 Mar 2020 WO
WO 2020047005 Mar 2020 WO
WO 2020047010 Mar 2020 WO
WO 2020053655 Mar 2020 WO
WO 2020056381 Mar 2020 WO
WO 2020061064 Mar 2020 WO
WO 2020061066 Mar 2020 WO
WO 2020061108 Mar 2020 WO
WO 2020076979 Apr 2020 WO
WO 2020099640 May 2020 WO
WO 2020112604 Jun 2020 WO
WO 2020117914 Jun 2020 WO
WO 2020123301 Jun 2020 WO
WO 2020123305 Jun 2020 WO
WO 2020123309 Jun 2020 WO
WO 2020123311 Jun 2020 WO
WO 2020123316 Jun 2020 WO
WO 2020123317 Jun 2020 WO
WO 2020123318 Jun 2020 WO
WO 2020123319 Jun 2020 WO
WO 2020123320 Jul 2020 WO
WO 2020160044 Aug 2020 WO
WO 2020167862 Aug 2020 WO
WO 2020176788 Sep 2020 WO
WO 2020176882 Sep 2020 WO
WO 2020190509 Sep 2020 WO
WO 2020198071 Oct 2020 WO
WO 2020206285 Oct 2020 WO
WO 2020219901 Oct 2020 WO
WO 2020240025 Dec 2020 WO
WO 2020243579 Dec 2020 WO
WO 2020254519 Dec 2020 WO
WO 2021041974 Mar 2021 WO
WO 2021067246 Apr 2021 WO
WO 2021067514 Apr 2021 WO
WO 2021091611 May 2021 WO
WO 2021092433 May 2021 WO
WO 2021097255 May 2021 WO
WO 2021102003 May 2021 WO
WO 2021102005 May 2021 WO
WO 2021102039 May 2021 WO
WO 2021116715 Jun 2021 WO
WO 2021119320 Jun 2021 WO
WO2021116715 Jun 2021 WO
WO 2021133842 Jul 2021 WO
WO 2021133845 Jul 2021 WO
WO 2021133849 Jul 2021 WO
WO 2021142233 Jul 2021 WO
WO 2021168261 Aug 2021 WO
WO 2021168278 Aug 2021 WO
WO 2021207610 Oct 2021 WO
WO 2021216708 Oct 2021 WO
WO 2021225900 Nov 2021 WO
WO 2021236625 Nov 2021 WO
WO 2021236929 Nov 2021 WO
WO 2021237056 Nov 2021 WO
WO 2021237087 Nov 2021 WO
WO 2021242834 Dec 2021 WO
WO 2021247543 Dec 2021 WO
WO 2021247568 Dec 2021 WO
WO 2021247593 Dec 2021 WO
WO 2021252499 Dec 2021 WO
WO 2021252576 Dec 2021 WO
WO 2021252591 Dec 2021 WO
WO 2021252747 Dec 2021 WO
WO 2021263111 Dec 2021 WO
WO 2022025965 Feb 2022 WO
WO 2022032195 Feb 2022 WO
WO 2022060798 Mar 2022 WO
WO 2022060953 Mar 2022 WO
WO 2022061150 Mar 2022 WO
WO 2022061152 Mar 2022 WO
WO 2022087273 Apr 2022 WO
WO 2022099037 May 2022 WO
WO 2022103712 May 2022 WO
WO 2022109181 May 2022 WO
WO 2011019964 Jun 2022 WO
WO 2022132645 Jun 2022 WO
WO 2022140028 Jun 2022 WO
WO 2022147005 Jul 2022 WO
WO 2022147296 Jul 2022 WO
WO 2022164615 Aug 2022 WO
WO 2022178267 Aug 2022 WO
WO 2022198068 Sep 2022 WO
WO 2022212269 Oct 2022 WO
WO 2022221425 Oct 2022 WO
WO 2022226057 Oct 2022 WO
WO 2022236054 Nov 2022 WO
WO 2022243303 Nov 2022 WO
WO 2022226372 Dec 2022 WO
WO 2022256503 Dec 2022 WO
WO 2022271820 Dec 2022 WO
WO 2023287765 Jan 2023 WO
WO 2023018799 Feb 2023 WO
WO 2023034489 Mar 2023 WO
WO 2023044071 Mar 2023 WO
WO 2023076345 May 2023 WO
WO 2023086880 May 2023 WO
WO 2023102118 Jun 2023 WO
WO 2023122033 Jun 2023 WO
WO 2023150098 Aug 2023 WO
WO 2023150163 Aug 2023 WO
WO 2023150171 Aug 2023 WO
WO 2023215552 Nov 2023 WO
WO 2023225519 Nov 2023 WO
WO 2023229988 Nov 2023 WO
WO 2023250077 Dec 2023 WO
WO 2024015578 Jan 2024 WO
WO 2024035844 Feb 2024 WO
WO 2024081212 Apr 2024 WO
WO 2024086167 Apr 2024 WO
WO 2024086776 Apr 2024 WO
WO 2024102809 May 2024 WO
WO 2024137826 Jun 2024 WO
WO 2024145224 Jul 2024 WO
WO 2024145441 Jul 2024 WO
WO 2024145445 Jul 2024 WO
WO 2024145491 Jul 2024 WO
WO 2024206603 Oct 2024 WO
WO 2024220882 Oct 2024 WO
WO 2024238900 Nov 2024 WO
WO 2024254316 Dec 2024 WO
WO 2025029605 Feb 2025 WO
WO 2025029627 Feb 2025 WO
Non-Patent Literature Citations (392)
Entry
Howell et al., “iFRET: An Improved Fluorescence System for DNA-Melting Analysis,” Genome Research, 2002, 12:1401-1407.
Nam et al., “Nanoparticle-Based Bio-Bar Codes for the Ultrasensitive Detection of Proteins,” Science, Sep. 26, 2003, 301(5641):1884-1886.
Redmond et al., “Single-cell TCRseq: paired recovery of entire T-cell alpha and beta chain transcripts in T-cell receptors from single-cell RNAseq,” Genome Med, 2016, 8:80, 12 pages.
Asp et al., “A spatiotemporal organ-wide gene expression and cell atlas of the developing human heart,” Cell, Dec. 12, 2019, 179(7):1647-1660.
Kuhn et al., “A novel, high-performance random array platform for quantitative gene expression profiling,” Genome Res, 2004, 14:2347-2356.
[No Author Listed], “Chromium Next GEM Single Cell 3′ Reagent Kits v3.1—User Guide,” 10x Genomics, Document No. CG000204, Nov. 2019, 58 pages.
[No Author Listed], “Chromium Next GEM Single Cell 3′ Reagent Kits v3.1 (Dual Index)—User Guide,” 10x Genomics, Mar. 2021, Document No. CG000315, 61 pages.
[No Author Listed], “HuSNP Mapping Assay User's Manual,” Affymetrix Part No. 90094 (Affymetrix, Santa Clara, Calif.), GeneChip, 2000, 104 pages.
[No Author Listed], “Microarray technologies have excellent possibilities in genomics-related researches,” Science Tools From Amersham Pharmacia Biotech, 1998, 3(4): 8 pages (with English Translation).
[No Author Listed], “Proseek® Multiplex 96x96 User Manual,” Olink Proteomics, Olink Bioscience, Uppsala, Sweden, 2017, 20 pages.
10xGenomics.com, [online], “Visium Spatial Gene Expression Reagent Kits—Tissue Optimization—User Guide,” Jul. 2020, retrieved on May 25, 2021, retrieved from URL<https://assets.ctfassets.net/an68im79xiti/5UJrNOCH17rEkOUXwd19It/e54d99fb08a8f1500aba503005a04a56/CG000238_VisiumSpatialTissueOptimizationUserGuide_RevD.pdf>, 42 pages.
10xGenomics.com, [online], “Visium Spatial Gene Expression Reagent Kits—Tissue Optimization,” Nov. 2019, retrieved on Jan. 25, 2022, retrieved from URL<https://assets.ctfassets.net/an68im79xiti/4q03w6959AJFxffSw5lee9/6a2ac61cf6388a72564eeb96bc294967/CG000238_VisiumSpatialTissueOptimizationUserGuide_Rev_A.pdf>, 46 pages.
10xGenomics.com, [online], “Visium Spatial Gene Expression Reagent Kits—Tissue Optimization,” Oct. 2020, retrieved on Dec. 28, 2021, retrieved from URL<https://assets.ctfassets.net/an68im79xiti/5UJrNOCH17rEkOUXwd19It/e54d99fb08a8f1500aba503005a04a56/CG000238_VisiumSpatialTissueOptimizationUserGuide_RevD.pdf>, 43 pages.
10xGenomics.com, [online], “Visium Spatial Gene Expression Reagent Kits—User Guide,” Jun. 2020, retrieved on May 25, 2021, retrieved from URL<https://assets.ctfassets.net/an68im79xiti/3GGIfH3RWpd1bFVhalpexR/8baa08d9007157592b65b2cdc7130990/CG000239_VisiumSpatialGeneExpression_UserGuide_RevD.pdf>, 69 pages.
10xGenomics.com, [online], “Visium Spatial Gene Expression Reagent Kits—User Guide,” Oct. 2020, retrieved on Dec. 28, 2021, retrieved from URL<https://assets.ctfassets.net/an68im79xiti/3GGIfH3RWpd1bFVhalpexR/8baa08d9007157592b65b2cdc7130990/CG000239_VisiumSpatialGeneExpression_UserGuide_RevD.pdf>, 70 pages.
Adessi et al., “Solid phase DNA amplification: characterisation of primer attachment and amplification mechanisms,” Nucl. Acids Res., 2000, 28(20):E87, 8 pages.
Adiconis et al., “Comparative analysis of RNA sequencing methods for degraded or low-input samples,” Nat Methods, Jul. 2013, 10(7):623-9.
Affymetrix, “GeneChip Human Genome U133 Set,” retrieved from the Internet: on the World Wide Web at affymetrix.com/support/technical/datasheets/hgu133_datasheet.pdf, retrieved on Feb. 26, 2003, 2 pages.
Affymetrix, “Human Genome U95Av2,” Internet Citation, retrieved from the internet: on the World Wide Web affymetrix.com, retrieved on Oct. 2, 2002, 1 page.
Alam, “Proximity Ligation Assay (PLA),” Curr Protoc Immunol., Nov. 2018, 123(1):e58, 8 pages.
Albretsen et al., “Applications of magnetic beads with covalently attached oligonucleotides in hybridization: Isolation and detection of specific measles virus mRNA from a crude cell lysate,” Anal. Biochem., 1990, 189(1):40-50.
Allawi et al., “Thermodynamics and NMR of Internal G.T Mismatches in DNA,” Biochemistry, 1996, 36(34):10581-10594.
Amidzadeh et al., “Assessment of different permeabilization methods of minimizing damage to the adherent cells for detection of intracellular RNA by flow cytometry,” Avicenna J Med Biotechnol., Jan. 2014, 6(1):38-46.
Andresen et al., “Helicase-dependent amplification: use in OnChip amplification and potential for point-of-care diagnostics,” Expert Rev Mol Diagn., Oct. 2009, 9(7):645-650.
Appella, “Non-natural nucleic acids for synthetic biology,” Current Opinion in Chemical Biology, Dec. 2009, 13(5-6): 687-696.
Aran et al., “xCell: digitally portraying the tissue cellular heterogeneity landscape,” Genome Biol., Nov. 2017, 18(1):220, 14 pages.
Archer et al., “Selective and flexible depletion of problematic sequences from RNA-seq libraries at the cDNA stage,” BMC Genomics, May 2014, 15(1):401, 9 pages.
Armani et al., “2D-PCR: a method of mapping DNA in tissue sections,” Lab Chip, 2009, 9(24):3526-34.
Arslan et al., “Engineering of a superhelicase through conformational control (Supplementary Materials),” Science, Apr. 17, 2015, 348(6232):344-347, 18 pages.
Arslan et al., “Engineering of a superhelicase through conformational control,” Science, Apr. 17, 2015, 348(6232):344-347.
Asp et al., “Spatially Resolved Transcriptomes-Next Generation Tools for Tissue Exploration,” Bioessays, Oct. 2020, 42(10):e1900221, 16 pages.
Atkinson et al., “An Updated Protocol for High Throughput Plant Tissue Sectioning,” Front Plant Sci, 2017, 8:1721, 8 pages.
Atkinson, “Overview of Translation: Lecture Manuscript,” U of Texas, 2000, DD, pp. 6.1-6.8.
Bains et al., “A novel method for nucleic acid sequence determination,” Journal of Theoretical Biology, 1988, 135(3), 303-7.
Balakrishnan et al., “Flap endonuclease 1,” Annu Rev Biochem., Jun. 2013, 82:119-138.
Baner et al., “Signal amplification of padlock probes by rolling circle replication,” Nucleic Acids Res., 1998, 26(22):5073-5078.
Barnes, “PCR amplification of up to 35-kb DNA with high fidelity and high yield from lambda bacteriophage templates,” Proc. Natl. Acad. Sci USA, 1994, 91(6):2216-2220.
Barnett et al., “ATAC-Me Captures Prolonged DNA Methylation of Dynamic Chromatin Accessibility Loci during Cell Fate Transitions,” Mol Cell., Mar. 2020, 77(6):1350-1364.e6.
Bartosovic et al., “Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues,” Nat Biotechnol., Jul. 2021, 39(7):825-835, Abstract.
Baugh et al., “Quantitative analysis of mRNA amplification by in vitro transcription,” Nucleic Acids Res., 2001, 29(5):e29, 9 pages.
Beattie et al., “Advances in genosensor research,” Clin Chem., May 1995, 41(5):700-6.
Beechem et al., “High-Plex Spatially Resolved RNA and Protein Detection Using Digital Spatial Profiling: A Technology Designed for Immuno-oncology Biomarker Discovery and Translational Research,” Methods Mol Biol, 2020, Chapter 25, 2055:563-583.
Belaghzal et al., “Hi-C 2.0: An Optimized Hi-C Procedure for High-Resolution Genome-Wide Mapping of Chromosome Conformation,” Methods, Jul. 1, 2017, 123:56-65, 20 pages.
Bell, “A simple way to treat PCR products prior to sequencing using ExoSAP-IT,” Biotechniques, 2008, 44(6):834, 1 page.
Belton et al., “Hi-C: A comprehensive technique to capture the conformation of genomes,” Methods, Nov. 2012, 58(3):268-276, 16 pages.
Bentley et al., “Accurate whole human genome sequencing using reversible terminator chemistry,” Nature, 2008, 456(7218):53-59.
Bentzen et al., “Large-scale detection of antigen-specific T cells using peptide-MHC-I multimers labeled with DNA barcodes,” Nat Biotechnol., Oct. 2016, 34(10):1037-1045, 12 pages.
Bergenstråhle et al., “Seamless integration of image and molecular analysis for spatial transcriptomics workflows,” BMC Genomics, Jul. 2020, 21(1):482, 7 pages.
Berger et al., “Universal bases for hybridization, replication and chain termination,” Nucleic Acid Res., Aug. 2000, 28(15):2911-2914.
Bibikova et al., “Quantitative gene expression profiling in formalin-fixed paraffin-embedded tissues using universal bead arrays,” The American Journal of Pathology, Nov. 1, 2004, 165(5):1799-1807.
Birney et al., “Identification and analysis of functional elements in 1% of the human genome by the Encode pilot project,” Nature, 2007, 447(7146):799-816.
Blair et al., “Microarray temperature optimization using hybridization kinetics,” Methods Mol Biol., 2009, 529:171-96.
Blanchard et al., “High-density oligonucleotide arrays,” Biosensors & Bioelectronics, 1996, 11(6-7):687-690.
Blanco et al., “A practical approach to FRET-based PNA fluorescence in situ hybridization,” Methods, Dec. 2010, 52(4):343-51.
Blokzijl et al., “Profiling protein expression and interactions: proximity ligation as a tool for personalized medicine,” J Intern. Med., 2010, 268(3):232-245.
Blow, “Tissue Issues,” Nature, 2007, 448(7156):959-962.
Bolognesi et al., “Multiplex Staining by Sequential Immunostaining and Antibody Removal on Routine Tissue Sections,” J. Histochem. Cytochem., Aug. 2017, 65(8):431-444.
Bolotin et al., “MiXCR: software for comprehensive adaptive immunity profiling,” Nat Methods., May 2015, 12(5):380-1.
Borm et al., “High throughput human embryo spatial transcriptome mapping by surface transfer of tissue RNA,” Abstracts Selected Talks, Single Cell Genomics mtg, (SCG2019), 2019, 1 pages (Abstract Only).
Boulé et al., “Terminal deoxynucleotidyl transferase indiscriminately incorporates ribonucleotides and deoxyribonucleotides,” J Biol Chem., Aug. 2001, 276(33):31388-93.
Brandon et al., “Mitochondrial mutations in cancer,” Oncogene, 2006, 25(34):4647-4662.
Brenner et al., “Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays,” Nat. Biotech., 2000, 18(6):630-634.
Brenner et al., “In vitro cloning of complex mixtures of DNA on microbeads: physical separation of differentially expressed cDNAs,” Proc. Natl. Acad. Sci. USA, 2000, 97(4):1665-1670.
Brow, “35—The Cleavase I enzyme for mutation and polymorphism scanning,” PCR Applications Protocols for Functional Genomics, 1999, pp. 537-550.
Brown et al., “Retroviral integration: structure of the initial covalent product and its precursor, and a role for the viral IN protein, ” Proc Natl Acad Sci USA, Apr. 1989, 86(8):2525-9.
Buenrostro et al., “Transposition of native chromatin for multimodal regulatory analysis and personal epigenomics,” Nat Methods, Dec. 2013, 10(12):1213-1218.
Bullard et al., “Direct comparison of nick-joining activity of the nucleic acid ligases from bacteriophage T4,” Biochem. J. 2006, 398(1):135-144.
Bunt et al., “FRET from single to multiplexed signaling events,” Biophys Rev. Apr. 2017, 9(2): 119-129.
Burgess, “A space for transcriptomics,” Nature Reviews Genetics, 2016, 17(8):436-7.
Burgess, “Finding structure in gene expression,” Nature Reviews Genetics, 2018, 19(5):249, 1 page.
Burgess, “Spatial transcriptomics coming of age,” Nat Rev Genet., Jun. 2019, 20(6):317, 1 page.
Burton et al., “Coverslip Mounted-Immersion Cycled in Situ RT-PCR for the Localization of mRNA in Tissue Sections,” Biotechniques, 1998, 24(1):92-100.
Caliari et al., “A practical guide to hydrogels for cell culture,” Nat Methods., Apr. 2016, 13(5):405-14.
Cha et al., “Specificity, efficiency, and fidelity of PCR,” Genome Res., 1993, 3(3):S18-29.
Chandra et al., “Cell-free synthesis-based protein microarrays and their applications,” Proteomics, 2009, 5(6):717-30.
Chatterjee et al., “Mitochondrial DNA mutations in human cancer. Oncogene,” 2006, 25(34):4663-4674.
Chen et al. “Arrayed profiling of multiple glycans on whole living cell surfaces.” Analytical chemistry, Oct. 15, 2013, 85(22):11153-11158.
Chen et al., “DNA hybridization detection in a microfluidic Channel using two fluorescently labelled nucleic acid probes,” Biosensors and Bioelectronics, 2008, 23(12):1878-1882.
Chen et al., “Efficient in situ barcode sequencing using padlock probe-based BaristaSeq,” Nucleic Acids Res., 2018, 46(4): e22, 11 pages.
Chen et al., “Expansion microscopy,” Science, 2015, 347(6221):543-548.
Chen et al., “Large field of view-spatially resolved transcriptomics at nanoscale resolution,” bioRxiv, Jan. 19, 2021, retrieved from URL <https://www.biorxiv.org/node/1751045.abstract>, 37 pages.
Chen et al., “Nanoscale imaging of RNA with expansion microscopy,” Nat Methods, Aug. 2016, 13(8):679-84.
Chen et al., “Parallel single nucleotide polymorphism genotyping by surface invasive cleavage with universal detection,” Anal Chem., Apr. 2005, 77(8):2400-5.
Chen et al., “RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells,” Science, Apr. 2015, 348(6233):aaa6090, 21 pages.
Chen et al., “Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer's Disease,” Cell, Aug. 2020, 182(4):976-991.
Chen et al., “μCB-seq: microfluidic cell barcoding and sequencing for high-resolution imaging and sequencing of single cells,” Lab Chip, Nov. 2020, 20(21):3899-3913.
Chester et al., “Dimethyl sulfoxide-mediated primer Tm reduction: a method for analyzing the role of renaturation temperature in the polymerase chain reaction,” Anal Biochem, Mar. 1993, 209(2):284-90.
Cho et al., “Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies,” bioRxiv, Jan. 27, 2021, retrieved from URL <https://www.biorxiv.org/node/1754517.abstract>, 50 pages.
Choi et al., “Multiplexed detection of mRNA using porosity-tuned hydrogel microparticles,” Analytical chemistry, Sep. 28, 2012, 84(21):9370-9378.
Chrisey et al., “Covalent attachment of synthetic DNA to self-assembled monolayer films,” Nucleic Acids Res., Aug. 1996, 24(15):3031-9.
Ciaccio et al., “Systems analysis of EGF receptor signaling dynamics with microwestern arrays,” Nat Methods, Feb. 2010, 7(2):148-55.
Codeluppi et al., “Spatial organization of the somatosensory cortex revealed by osmFISH,” Nature Methods, Nov. 2018, 15:932-935.
Constantine et al., “Use of genechip high-density oligonucleotide arrays for gene expression monitoring,” Life Science News, Amersham Life Science, 1998, pp. 11-14.
Corces et al., “An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues,” Nat. Methods, 2017, 14(10):959-962.
Credle et al., “Multiplexed analysis of fixed tissue RNA using Ligation in situ Hybridization,” Nucleic Acids Research, 2017, 45(14):e128, 9 pages.
Crosetto et al., “Spatially resolved transcriptomics and beyond,” Nature Review Genetics, 2015, 16(1):57-66.
Cruz et al., “Methylation in cell-free DNA for early cancer detection,” Ann Oncol., Jun. 2018, 29(6):1351-1353.
Cujec et al., “Selection of v-Abl tyrosine kinase substrate sequences from randomized peptide and cellular proteomic libraries using mRNA display,” Chemistry and Biology, 2002, 9(2):253-264.
Czarnik, “Encoding methods for combinatorial chemistry,” Curr Opin Chem Biol., Jun. 1997, 1(1):60-6.
Dahl et al., “Circle-to-circle amplification for precise and sensitive DNA analysis,” Proc. Natl. Acad. Sci., 2004, 101(13):4548-4553.
Dalma-Weiszhausz et al., “The affymetrix GeneChip platform: an overview,” Methods Enzymol., 2006, 410:3-28.
Darmanis et al., “ProteinSeq: High-Performance Proteomic Analyses by Proximity, Ligation and Next Generation Sequencing,” PLos One, 2011, 6(9):e25583, 10 pages.
Daubendiek et al., “Rolling-Circle RNA Synthesis: Circular Oligonucleotides as Efficient Substrates for T7 RNA Polymerase,” J. Am. Chem. Soc., 1995, 117(29):7818-7819.
Davies et al., “How best to identify chromosomal interactions: a comparison of approaches,” Nat. Methods, 2017, 14(2):125-134.
Deamer et al., “Characterization of nucleic acids by Nanopore analysis,” Acc Chem Res., Oct. 2002, 35(10):817-25.
Dean et al., “Comprehensive human genome amplification using multiple displacement amplification,” Proc Natl. Acad. Sci. USA, 2002, 99(8):5261-66.
Dean et al., “Rapid Amplification of Plasmid and Phage DNA Using Phi29 DNA Polymerase and Multiply-Primed Rolling Circle Amplification,” Genome Research, Jun. 2001, 11:1095-1099.
Deng et al., “Spatial Epigenome Sequencing at Tissue Scale and Cellular Level,” BioRxiv, Mar. 2021, 40 pages.
Dressman et al., “Transforming single DNA molecules into fluorescent magnetic particles for detection and enumeration of genetic variations,” Proc. Natl. Acad. Sci. USA, 2003, 100(15):8817-8822.
Drmanac et al., “CoolMPS™: Advanced massively parallel sequencing using antibodies specific to each natural nucleobase,” BioRxiv, 2020, 19 pages.
Druley et al., “Quantification of rare allelic variants from pooled genomic DNA,” Nat. Methods, 2009, 6(4):263-65.
Duncan et al., “Affinity chromatography of a sequence-specific DNA binding protein using Teflon-linked oligonucleotides,” Anal. Biochem., 1988, 169(1):104-108.
Eberwine, “Amplification of mRNA populations using aRNA generated from immobilized oligo(dT)-T7 primed cDNA,” BioTechniques, 1996, 20(4):584-91.
Eguiluz et al., “Multitissue array review: a chronological description of tissue array techniques, applications and procedures,” Pathology Research and Practice, 2006, 202(8):561-568.
Eldridge et al., “An in vitro selection strategy for conferring protease resistance to ligand binding peptides,” Protein Eng Des Sel., 2009, 22(11):691-698.
Ellington et al., “Antibody-based protein multiplex platforms: technical and operational challenges,” Clin Chem, 2010, 56(2):186-193.
Eng et al., “Profiling the transcriptome with RNA SPOTs,” Nat Methods., 2017, 14(12):1153-1155.
Eng et al., “Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+,” Nature, Apr. 2019, 568(7751):235-239, 37 pages.
Ergin et al., “Proteomic Analysis of PAXgene-Fixed Tissues,” J Proteome Res., 2010, 9(10):5188-96.
Evers et al., “The effect of formaldehyde fixation on RNA: optimization of formaldehyde adduct removal,” J Mol Diagn., May 2011, 13(3):282-8.
Fan et al., “A versatile assay for high-throughput gene expression profiling on universal array matrices,” Genome Research, May 1, 2004, 14(5):878-885.
Fan et al., “Illumina Universal Bead Arrays,” Methods in Enzymology, 2006, 410:57-73.
Faruqi et al., “High-throughput genotyping of single nucleotide polymorphisms with rolling circle amplification,” BMC Genomics, Aug. 2001, 2:4, 10 pages.
Fire et al., “Rolling replication of short DNA circles,” Proc. Natl. Acad. Sci., 1995, 92(10):4641-4645.
Flanigon et al., “Multiplex protein detection with DNA readout via mass spectrometry,” N. Biotechnol., 2013, 30(2):153-158.
Fluidigm, “Equivalence of Imaging Mass Cytometry and Immunofluorescence on FFPE Tissue Sections,” White Paper, 2017, 12 pages.
Fodor et al., “Light-directed, spatially addressable parallel chemical synthesis,” Science, 1995, 251(4995):767-773.
Forster et al., “A human gut bacterial genome and culture collection for improved metagenomic analyses,” Nature Biotechnology, 2019, 37(2):186-192.
Frese et al., “Formylglycine aldehyde Tag—protein engineering through a novel post-translational modification,” ChemBioChem., 2009, 10(3):425-27.
Fu et al., “Continuous Polony Gels for Tissue Mapping with High Resolution and RNA Capture Efficiency,” bioRxiv, 2021, 20 pages.
Fu et al., “Counting individual DNA molecules by the stochastic attachment of diverse labels,” PNAS, 2011, 108(22):9026-9031.
Fu et al., “Repeat subtraction-mediated sequence capture from a complex genome,” Plant J., Jun. 2010, 62(5):898-909.
Fullwood et al., “Next-generation DNA sequencing of paired-end tags (PET) for transcriptome and genome analyses,” Genome Res., 2009, 19(4):521-532.
Ganguli et al., “Pixelated spatial gene expression analysis from tissue,” Nat Commun., Jan. 2018, 9(1):202, 9 pages.
Gansauge et al., “Single-stranded DNA library preparation from highly degraded DNA using T4 DNA ligase,” Nucleic Acids Res., Jun. 2017, 45(10):e79, 10 pages.
Gao et al., “A highly homogeneous expansion microscopy polymer composed of tetrahedron-like monomers,” bioRxiv, Oct. 22, 2019, 23 pages (Preprint).
Gao et al., “Q&A: Expansion microscopy,” BMC Biology, 15:50, 9 pages, 2017.
Gene@arrays[online], BeadArray Technology, available on or before Feb. 14, 2015, via Internet Archive: Wayback Machine URL <https://web.archive.org/web/20150214084616/http://genearrays.com/services/microarrays/illumina/beadarray-technology/>, [retrieved on Jan. 30, 2020], 3 pages.
Gerard et al., “Excess dNTPs minimize RNA hydrolysis during reverse transcription,” Biotechniques, Nov. 2002, 33(5):984, 986, 988, 990.
Gilar et al., “Study of phosphorothioate-modified oligonucleotide resistance to 3′-exonuclease using capillary electrophoresis,” J Chromatogr B Biomed Sci Appl., Aug. 28, 1998, 714(1):13-20.
Gill et al., “Nucleic acid isothermal amplification technologies: a review,” Nucleosides Nucleotides Nucleic Acids, Mar. 2008, 27(3):224-43.
Glass et al., “SIMPLE: a sequential immunoperoxidase labeling and erasing method,” J. Histochem. Cytochem., Oct. 2009, 57(10):899-905.
Gloor, “Gene targeting in Drosophila,” Methods Mol Biol., 2004, 260:97-114.
Gnanapragasam, “Unlocking the molecular archive: the emerging use of formalin-fixed paraffin-embedded tissue for biomarker research in urological cancer,” BJU International, 2009, 105(2):274-278.
Goh et al., “Highly Specific Multiplexed RNA Imaging In Tissues With Split-FISH,” Nat Methods, Jun. 15, 2020, 17(7):689-693, 21 pages.
Goldkorn et al., “A simple and efficient enzymatic method for covalent attachment of DNA to cellulose. Application for hybridization-restriction analysis and for in vitro synthesis of DNA probes,” Nucleic Acids Res., 1986, 14(22):9171-9191.
Goldmeyer et al., “Development of a novel one-tube isothermal reverse transcription thermophilic helicase-dependent amplification platform for rapid RNA detection,” Journal of Molecular Diagnostics, American Society for Investigative Pathology and the Association for Molecular Pathology, Nov. 1, 2007, 9(5):639-644.
Goransson et al., “A single molecule array for digital targeted molecular analyses,” Nucleic Acids Res., Nov. 25, 2009, 37(1):e7, 9 pages.
Goryshin et al., “Tn5 in vitro transposition,” J Biol Chem., Mar. 1998, 273(13):7367-74.
Gracia Villacampa et al., “Genome-wide Spatial Expression Profiling in FFPE Tissues,” bioRxiv, 2020, pp. 38 pages.
Grokhovsky, “Specificity of DNA cleavage by ultrasound,” Molecular Biology, 2006, 40(2):276-283.
Grünweller et al., “Locked Nucleic Acid Oligonucleotides,” BioDrugs, Jul. 2007, 21(4): 235-243.
Gu et al., “Multiplex single-molecule interaction profiling of DNA-barcoded proteins,” Nature, Sep. 21, 2014, 515:554-557.
Gu et al., “Protein tag-mediated conjugation of oligonucleotides to recombinant affinity binders for proximity ligation,” N Biotechnol., 2013, 30(2):144-152.
Gunderson et al., “Decoding randomly ordered DNA arrays,” Genome Research, 2004, 14(5):870-877.
Guo et al., “Direct fluorescence analysis of genetic polymorphisms by hybridization with oligonucleotide arrays on glass supports,” Nucleic Acids Res., Dec. 1994, 22(24):5456-65.
Gupta et al., “Single-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells,” Nature Biotechnol., Oct. 2018, 36:1197-1202.
Hadrup et al., “Parallel detection of antigen-specific T-cell responses by multidimensional encoding of MHC multimers,” Nat. Methods., Jul. 2009, 6(7), 520-526.
Hafner et al., “Identification of microRNAs and other small regulatory RNAs using cDNA library sequencing,” Methods, Jan. 2008, 44(1):3-12.
Hahnke et al., “Striptease on glass: validation of an improved stripping procedure for in situ microarrays,” J Biotechnol., Jan. 2007, 128(1):1-13.
Hamaguchi et al., “Direct reverse transcription-PCR on oligo(dT)-immobilized polypropylene microplates after capturing total mRNA from crude cell lysates,” Clin Chem., Nov. 1998, 44(11):2256-63.
Hanauer et al., “Separation of nanoparticles by gel electrophoresis according to size and shape,” Nano Lett., Sep. 2007, 7(9):2881-5.
Hardenbol et al., “Highly multiplexed molecular inversion probe genotyping: over 10,000 targeted SNPs genotyped in a single tube assay,” Genome Res., Feb. 2005, 15(2):269-75.
Hardenbol et al., “Multiplexed genotyping with sequence-tagged molecular inversion probes,” Nature Biotechnol., Jun. 2003, 21(6):673-678.
Hayes et al., “Electrophoresis of proteins and nucleic acids: I-Theory,” BMJ, Sep. 1989, 299(6703):843-6.
He et al., “In situ synthesis of protein arrays,” Current Opinion in Biotechnology, 2008, 19(1):4-9.
He et al., “Printing protein arrays from DNA arrays,” Nature Methods, 2008, 5(2):175-77.
He, “Cell-free protein synthesis: applications in proteomics and biotechnology,” New Biotechnology, 2008, 25(2-3):126-132.
Healy, “Nanopore-based single-molecule DNA analysis,” Nanomedicine (Lond), Aug. 2007, 2(4):459-81.
Hejatko et al., “In situ hybridization technique for mRNA detection in whole mount Arabidopsis samples,” Nature Protocols, 2006, 1(4):1939-1946.
Hessner et al., “Genotyping of factor V G1691A (Leiden) without the use of PCR by invasive cleavage of oligonucleotide probes,” Clin Chem., Aug. 2000, 46(8 Pt 1):1051-6.
Hiatt et al., “Parallel, tag-directed assembly of locally derived short sequence reads,” Nature Methods, 2010, 7(2):119-25.
Ho et al., “Bacteriophage T4 RNA ligase 2 (gp24.1) exemplifies a family of RNA ligases found in all phylogenetic domains,” PNAS, Oct. 2002, 99(20):12709-14.
Ho et al., “Characterization of an ATP-Dependent DNA Ligase Encoded by Chlorella Virus PBCV-1,” Journal of Virology, Mar. 1997, 71(3):1931-1937.
Hoffman et al., “Formaldehyde crosslinking: a tool for the study of chromatin complexes,” J Biol Chem., Oct. 2015, 290(44):26404-11.
Hsuih et al., “Novel, Ligation-Dependent PCR Assay for Detection of Hepatitis C Virus in Serum,” Journal of Clinical Microbiology, Mar. 1996, 34(3):501-507.
Hu et al., “High reproducibility using sodium hydroxide-stripped long oligonucleotide DNA microarrays,” Biotechniques, Jan. 2005, 38(1):121-4.
Hughes et al., “Microfluidic Western blotting,” PNAS, Dec. 2012, 109(52):21450-21455.
Hycultbiotech.com, [online], “Immunohistochemistry, Paraffin” Apr. 2010, retrieved on Apr. 16, 2020, retrieved from URL<https://www.hycultbiotech.com/media/wysiwyg/Protocol_Immunohistochemistry_Paraffin_2.pdf>, 3 pages.
Ichikawa et al., “In vitro transposition of transposon Tn3,” J Biol. Chem., Nov. 1990, 265(31):18829-32, Abstract.
Illumina.com [online], “Ribo-Zero® rRNA Removal Kit Reference Guide,” Aug. 2016, retrieved on Apr. 26, 2022, retrieved from URL<https://jp.support.illumina.com/content/dam/illumina-support/documents/documentation/chemistry_documentation/ribosomal-depletion/ribo-zero/ribo-zero-reference-guide-15066012-02.pdf>, 36 pages.
Jamur et al., “Permeabilization of cell membranes.,” Method Mol. Biol., 2010, 588:63-66.
Jemt et al., “An automated approach to prepare tissue-derived spatially barcoded RNA-sequencing libraries,” Scientific Reports, 2016, 6:37137, 10 pages.
Jensen et al., “Zinc fixation preserves flow cytometry scatter and fluorescence parameters and allows simultaneous analysis of DNA content and synthesis, and intracellular and surface epitopes,” Cytometry A., Aug. 2010, 77(8):798-804.
Jucá et al., “Effect of dimethyl sulfoxide on reverse transcriptase activity,” Braz. J. Med. Biol. Res., Mar. 1995, 28(3):285-90.
Kalantari et al., “Deparaffinization of formalin-fixed paraffin-embedded tissue blocks using hot water instead of xylene,” Anal Biochem., Aug. 2016, 507:71-3.
Kap et al., “Histological assessment of PAXgene tissue fixation and stabilization reagents,” PLoS One, 2011, 6:e27704, 10 pages.
Kapteyn et al., “Incorporation of non-natural nucleotides into template-switching oligonucleotides reduces background and improves cDNA synthesis from very small RNA samples,” BMC Genomics, Jul. 2010, 11:413, 9 pages.
Karmakar et al., “Organocatalytic removal of formaldehyde adducts from RNA and DNA bases,” Nature Chemistry, Aug. 3, 2015, 7(9):752-758.
Kaya-Okur et al., “CUT&Tag for efficient epigenomic profiling of small samples and single cells,” Apr. 2019, 10(1):1930, 10 pages.
Ke et al., “In situ sequencing for RNA analysis in preserved tissue and cells,” Nat Methods., Sep. 2013, Supplementary Materials, 29 pages.
Kennedy-Darling et al., “Measuring the Formaldehyde Protein-DNA Cross-Link Reversal Rate,” Analytical Chemistry, 2014, 86(12):5678-5681.
Kent et al., “Polymerase θ is a robust terminal transferase that oscillates between three different mechanisms during end-joining” Elife, Jun. 2016, 5:e13740, 25 pages.
Kirby et al., “Cryptic plasmids of Mycobacterium avium: Tn552 to the rescue,” Mol Microbiol., Jan. 2002, 43(1):173-86.
Kleckner et al., “Tn10 and IS10 transposition and chromosome rearrangements: mechanism and regulation in vivo and in vitro,” Curr Top Microbiol Immunol., 1996, 204:49-82.
Korbel et al., “Paired-end mapping reveals extensive structural variation in the human genome,” Science, 2007, 318(5849):420-426.
Kozlov et al., “A highly scalable peptide-based assay system for proteomics,” PLoS ONE, 2012, 7(6):e37441, 10 pages.
Kozlov et al., “A method for rapid protease substrate evaluation and optimization,” Comb Chem High Throughput Screen, 2006, 9(6):481-87.
Kristensen et al., “High-Throughput Methods for Detection of Genetic Variation,” BioTechniques, Feb. 2001, 30(2):318-332.
Krzywkowski et al., “Chimeric padlock and iLock probes for increased efficiency of targeted RNA detection,” RNA, Jan. 2019, 25(1):82-89.
Krzywkowski et al., “Fidelity of RNA templated end-joining by Chlorella virus DNA ligase and a novel iLock assay with improved direct RNA detection accuracy,” Nucleic Acids Research, Oct. 2017, 45(18):e161, 9 pages.
Kumar et al., “Template-directed oligonucleotide strand ligation, covalent intramolecular DNA circularization and catenation using click chemistry,” J Am Chem Soc., May 2007, 129(21):6859-64.
Kurz et al., “cDNA—protein fusions: covalent protein—gene conjugates for the in vitro selection of peptides and proteins,” ChemBioChem., 2001, 2(9):666-72.
Kwok, “High-throughput genotyping assay approaches,” Pharmocogenomics, Feb. 2000, 1(1):95-100.
Lage et al., “Whole genome analysis of genetic alterations in small DNA samples using hyperbranched strand displacement amplification and array-CGH,” Genome Research, 2003, 13(2):294-307.
Lahiani et al., “Enabling Histopathological Annotations on Immunofluorescent Images through Virtualization of Hematoxylin and Eosin,” J Pathol Inform., Feb. 2018, 9:1, 8 pages.
Lampe et al., “A purified mariner transposase is sufficient to mediate transposition in vitro,” EMBO J., Oct. 1996, 15(19):5470-9.
Landegren et al., “Reading bits of genetic information: methods for single-nucleotide polymorphism analysis,” Genome Res., Aug. 1998, 8(8):769-76.
Langdale et al., “A rapid method of gene detection using DNA bound to Sephacryl,” Gene, 1985, 36(3):201-210.
Larman et al., “Sensitive, multiplex and direct quantification of RNA sequences using a modified RASL assay,” Nucleic Acids Research, 2014, 42(14):9146-9157.
Lee et al., “Fluorescent in situ sequencing (FISSEQ) of RNA for gene expression profiling in intact cells and tissues,” Nature Protocols, 2015, 10(3):442-458.
Lee et al., “Improving the efficiency of genomic loci capture using oligonucleotide arrays for high throughput resequencing,” BMC Genomics, Dec. 2009, 10:646, 12 pages.
Leriche et al., “Cleavable linkers in chemical biology,” Bioorganic & Medicinal Chemistry, 2012, 20:571-582.
Li et al., “A new GSH-responsive prodrug of 5-aminolevulinic acid for photodiagnosis and photodynamic therapy of tumors,” European Journal of Medicinal Chemistry, Nov. 2019, 181:111583, 9 pages.
Li et al., “A photocleavable fluorescent nucleotide for DNA sequencing and analysis,” Proc. Natl. Acad. Sci., 2003, 100(2):414-419.
Li et al., “An activity-dependent proximity ligation platform for spatially resolved quantification of active enzymes in single cells,” Nat Commun, Nov. 2017, 8(1):1775, 12 pages.
Li et al., “RASL-seq for Massively Parallel and Quantitative Analysis of Gene Expression,” Curr Protoc Mol Biol., Apr. 2012, 4(13):1-10.
Li et al., “Review: a comprehensive summary of a decade development of the recombinase polymerase amplification,” Analyst, Dec. 2018, 144(1):31-67.
Lin et al., “Highly multiplexed imaging of single cells using a high-throughput cyclic immunofluorescence method,” Nat Commun., Sep. 2015, 6:8390, 7 pages.
Linnarsson, “Recent advances in DNA sequencing methods—general principles of sample preparation,” Experimental Cell Research, 2010, 316(8):1339-1343.
Liu et al., “High-Spatial-Resolution Multi-Omics Atlas Sequencing of Mouse Embryos via Deterministic Barcoding in Tissue,” BioRxiv, 2019, 55 pages.
Liu et al., “High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue,” Cell, Nov. 13, 2020, 183(6):1665-1681, 36 pages.
Liu et al., “Spatial transcriptome sequencing of FFPE tissues at cellular level,” bioRxiv 788992, Oct. 14, 2020, 39 pages.
Lizardi et al., “Mutation detection and single-molecule counting using isothermal rolling-circle amplification,” Nat. Genet., 1998, 19(3):225-232.
Lou et al., “A review of room temperature storage of biospecimen tissue and nucleic acids for anatomic pathology laboratories and biorepositories,” Clin Biochem., Mar. 2014, 47(4-5):267-73.
Lovatt et al., “Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue,” Nature Methods, 2013, 11(2):190-196.
Lund et al., “Assessment of methods for covalent binding of nucleic acids to magnetic beads, Dynabeads, and the characteristics of the bound nucleic acids in hybridization reactions,” Nucleic Acids Res., 1988, 16(22):10861-80.
Lundberg et al., “High-fidelity amplification using a thermostable DNA polymerase isolated from Pyrococcus furiosus,” Gene, 1991, 108(1):1-6.
Lundberg et al., “Homogeneous antibody-based proximity extension assays provide sensitive and specific detection of low-abundant proteins in human blood,” Nucleic Acids Res., 2011, 39(15):e102, 8 pages.
Lundberg et al., “Multiplexed homogeneous proximity ligation assays for high-throughput protein biomarker research in serological material,” Mol Cell Proteomics, 2011, 10(4):M110.004978, 11 pages.
Lundin et al., “Increased throughput by parallelization of library preparation for massive sequencing,” PLoS One, Apr. 2010, 5(4):e10029, 7 pages.
Lyamichev et al., “Invader assay for SNP genotyping,” Methods Mol Biol., 2003, 212:229-40.
Lyamichev et al., “Polymorphism identification and quantitative detection of genomic DNA by invasive cleavage of oligonucleotide probes,” Nat Biotechnol., Mar. 1999, 17(3):292-6.
Lyck et al., “Immunohistochemical markers for quantitative studies of neurons and glia in human neocortex,” J Histochem Cytochem, 2008, 56(3):201-21.
Lykidis et al., “Novel zinc-based fixative for high quality DNA, RNA and protein analysis,” Nucleic Acids Res., Jun. 2007, 35(12):e85, 10 pages.
Ma et al., “Isothermal amplification method for next-generation sequencing,” PNAS, Aug. 12, 2013, 110(35):14320-14323.
MacBeath et al., “Printing proteins as microarrays for high-throughput function determination,” Science, Sep. 2000, 289(5485):1760-1763.
MacIntyre, “Unmasking antigens for immunohistochemistry.,” Br J Biomed Sci., 2001, 58(3):190-6.
Mamedov et al., “Preparing unbiased T-cell receptor and antibody cDNA libraries for the deep next generation sequencing profiling,” Frontiers in Immunol., Dec. 23, 2013, 4(456):1-10.
Marx, “Method of the Year: spatially resolved transcriptomics,” Nature Methods, 2021, 18(1):9-14.
Mathieson et al., “A Critical Evaluation of the PAXgene Tissue Fixation System: Morphology, Immunohistochemistry, Molecular Biology, and Proteomics,” Am J Clin Pathol., Jul. 8, 2016, 146(1):25-40.
McCloskey et al., “Encoding PCR products with batch-stamps and barcodes,” Biochem. Genet., 2007, 45(11-12):761-767.
Meers et al., “Improved CUT&RUN chromatin profiling tools,” Elife, Jun. 2019, 8:e46314, 16 pages.
Merritt et al., “Multiplex digital spatial profiling of proteins and RNA in fixed tissue,” Nat Biotechnol, May 2020, 38(5):586-599.
Metzker, “Sequencing technologies—the next generation,” Nature Reviews Genetics, 2010, 11(1):31-46.
Miele et al., “Mapping cis- and trans-chromatin interaction networks using chromosome conformation capture (3C),” Methods Mol Biol., 2009, 464:105-21.
Mignardi et al., “Oligonucleotide gap-fill ligation for mutation detection and sequencing in situ,” Nucleic Acids Research, Aug. 3, 2015, 43(22):e151, 12 pages.
Miller et al., “Basic concepts of microarrays and potential applications in clinical microbiology,” Clinical Microbiology Reviews, 2009, 22(4):611-633.
Miller et al., “Chapter 11—Solid and Suspension Microarrays for Microbial Diagnostics,” Methods in Microbiology, 2015, 42:395-431.
Miner et al., “Molecular barcodes detect redundancy and contamination in hairpin-bisulfite PCR,” Nucleic Acids Res., Sep. 2004, 32(17):e135, 4 pages.
Mishra et al., “Three-dimensional genome architecture and emerging technologies: looping in disease,” Genome Medicine, 2017, 9(1):87, 14 pages.
Mitra et al., “Digital genotyping and haplotyping with polymerase colonies,” Proc. Natl. Acad. Sci. USA, May 2003, 100(10):5926-5931.
Miura et al., “Highly efficient single-stranded DNA ligation technique improves low-input whole-genome bisulfite sequencing by post-bisulfite adaptor tagging,” Nucleic Acids Res., Sep. 2019, 47(15):e85, 10 pages.
Mizusawa et al., “A bacteriophage lambda vector for cloning with BamHI and Sau3A,” Gene, 1982, 20(3):317-322.
Mohsen et al., “The Discovery of Rolling Circle Amplification and Rolling Circle Transcription,” Acc Chem Res., Nov. 15, 2016, 49(11):2540-2550, 25 pages.
Morlan et al., “Selective depletion of rRNA enables whole transcriptome profiling of archival fixed tissue,” PLoS One, Aug. 2012, 7(8):e42882, 8 pages.
Motea et al., “Terminal deoxynucleotidyl transferase: the story of a misguided DNA polymerase,” Biochim Biophys Acta., May 2010, 1804(5):1151-66.
Mulder et al., “CapTCR-seq: hybrid capture for T-cell receptor repertoire profiling,” Blood Advances, Dec. 2018, 2(23):3506-3514.
Nadji et al., “Immunohistochemistry of tissue prepared by a molecular-friendly fixation and processing system,” Appl Immunohistochem Mol Morphol., Sep. 2005, 13(3):277-82.
Nallur et al., “Signal amplification by rolling circle amplification on DNA microarrays,” Nucleic Acids Res., Dec. 1, 2001, 29(23):e118, 9 pages.
Nandakumar et al., “How an RNA Ligase Discriminates RNA versus DNA Damage,” Molecular Cell, 2004, 16:211-221.
Nandakumar et al., “RNA Substrate Specificity and Structure-guided Mutational Analysis of Bacteriophage T4 RNA Ligase 2,” Journal of Biological Chemistry, Jul. 2004, 279(30):31337-31347.
Ncbi.nlm.nih.gov, [online], “Molecular Inversion Probe Assay,” available on or before Oct. 14, 2014, via Internet Archive: Wayback Machine URL<https://web.archive.org/web/20141014124037/https://www.ncbi.nlm.nih.gov/probe/docs/techmip/>, retrieved on Jun. 16, 2021, retrieved from URL<https://www.ncbi.nlm.nih.gov/probe/docs/techmip/>, 2 pages.
Ng et al., “Gene identification signature (GIS) analysis for transcriptome characterization and genome annotation,” Nature Methods, 2005, 2(2):105-111.
Nichols et al., “RNA Ligases,” Curr Protoc Mol Biol., Oct. 2008, 84(1):3.15.1-3.15.4.
Niedringhaus et al., “Landscape of next-generation sequencing technologies,” Anal Chem., Jun. 2011, 83(12):4327-41.
Nikiforov et al., “The use of 96-well polystyrene plates for DNA hybridization-based assays: an evaluation of different approaches to oligonucleotide immobilization,” Anal Biochem, May 1995, 227(1):201-9.
Niklas et al., “Selective permeabilization for the high-throughput measurement of compartmented enzyme activities in mammalian cells,” Anal Biochem, Sep. 2011, 416(2):218-27.
Nilsson et al., “RNA-templated DNA ligation for transcript analysis,” Nucleic Acids Res., Jan. 2001, 29(2):578-81.
Nowak et al., “Entering the Postgenome Era,” Science, 1995, 270(5235):368-71.
Ohtsubo et al., “Bacterial insertion sequences,” Curr Top Microbiol Immunol., 1996, 204:1-26.
Oksuz et al., “Systematic evaluation of chromosome conformation capture assays,” Nature Methods, Sep. 2021, 18:1046-1055.
Olivier, “The Invader assay for SNP genotyping,” Mutat. Res., Jun. 2005, 573(1-2):103-110.
Orenstein et al., “γPNA FRET Pair Miniprobes for Quantitative Fluorescent In Situ Hybridization to Telomeric DNA in Cells and Tissue,” Molecules, Dec. 2, 2017, 22(12):2117, 15 pages.
Ozsolak et al., “Digital transcriptome profiling from attomole-level RNA samples,” Genome Res., Apr. 2010, 20(4):519-25.
Pandey et al., “Inhibition of terminal deoxynucleotidyl transferase by adenine dinucleotides. Unique inhibitory action of Ap5A,” FEBS Lett., Mar. 1987, 213(1):204-8.
Park et al., “Single cell trapping in larger microwells capable of supporting cell spreading and proliferation,” Microfluid Nanofluid, 2010, 8:263-268.
Passow et al., “RNAlater and flash freezing storage methods nonrandomly influence observed gene expression in RNAseq experiments,” bioRxiv, Jul. 2018, 28 pages.
Pellestor et al., “The peptide nucleic acids (PNAs), powerful tools for molecular genetics and cytogenetics,” Eur J Hum Genet., Sep. 2004, 12(9):694-700.
Pemov et al., “DNA analysis with multiplex microarray-enhanced PCR,” Nucl. Acids Res., Jan. 2005, 33(2):e11, 9 pages.
Penno et al., “Stimulation of reverse transcriptase generated cDNAs with specific indels by template RNA structure: retrotransposon, dNTP balance, RT-reagent usage,” Nucleic Acids Res., Sep. 2017, 45(17):10143-10155.
Perler et al., “Intervening sequences in an Archaea DNA polymerase gene,” Proc Natl Acad Sci USA, Jun. 1992, 89(12):5577-5581.
Perocchi et al., “Antisense artifacts in transcriptome microarray experiments are resolved by actinomycin D,” Nucleic Acids Res., 2007, 35(19):e128, 7 pages.
Petterson et al., “Generations of sequencing technologies,” Genomics, 2009, 93(2):105-111.
Picelli et al., “Full-length RNA-seq from single cells using Smart-seq2,” Nat Protoc., Jan. 2014, 9(1):171-81.
Picelli et al., “Tn5 transposase and tagmentation procedures for massively scaled sequencing projects,” Genome Res., Dec. 2014, 24(12):2033-40.
Pipenburg et al., “DNA detection using recombination proteins,” PLoS Biol., Jul. 2006, 4(7):e204, 7 pages.
Pirici et al., “Antibody elution method for multiple immunohistochemistry on primary antibodies raised in the same species and of the same subtypem,” J. Histochem. Cytochem., Jun. 2009, 57(6):567-75.
Plasterk, “The Tcl/mariner transposon family,” Curr Top Microbiol Immunol., 1996, 204:125-43.
Plongthongkum et al., “Advances in the profiling of DNA modifications: cytosine methylation and beyond,” Nature Reviews Genetics, Aug. 2014, 15(10):647-661.
Polsky-Cynkin et al., “Use of DNA immobilized on plastic and agarose supports to detect DNA by sandwich hybridization,” Clin. Chem., 1985, 31(9):1438-1443.
Porreca et al., “Polony DNA sequencing,” Curr Protoc Mol Biol., Nov. 2006, Chapter 7, Unit 7.8, pp. 7.8.1-7.8.22.
Qiu et al., “Combination probes with intercalating anchors and proximal fluorophores for DNA and RNA detection,” Nucleic Acids Research, Sep. 2016, 44(17):e138, 12 pages.
Raab et al., “Human tRNA genes function as chromatin insulators,” EMBO J., Jan. 2012, 31(2):330-50.
Raj et al., “Imaging individual mRNA molecules using multiple singly labeled probes,” Nature Methods, Oct. 2008, 5(10):877-879, 9 pages.
Ranki et al., “Sandwich hybridization as a convenient method for the detection of nucleic acids in crude samples,” Gene, 1983, 21(1-2):77-85.
Reinartz et al., “Massively parallel signature sequencing (MPSS) as a tool for in-depth quantitative gene expression profiling in all organisms,” Brief Funct Genomic Proteomic, Feb. 2002, 1(1):95-104.
Reznikoff, “Tn5 as a model for understanding DNA transposition,” Mol Microbiol., Mar. 2003, 47(5):1199-206.
Ristic et al., “Detection of Protein-Protein Interactions and Posttranslational Modifications Using the Proximity Ligation Assay: Application to the Study of the SUMO Pathway,” Methods Mol. Biol., 2016, 1449:279-90.
Rodriques et al., “Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution,” Science, 2019, 363(6434):1463-1467.
Rohland et al., “Partial uracil-DNA-glycosylase treatment for screening of ancient DNA,” Phil. Trans. R. Soc. B, Jan. 19, 2015, 370(1660): 20130624, 11 pages.
Ronaghi et al., “A sequencing method based on real-time pyrophosphate,” Science, Jul. 1998, 281(5375):363-365.
Ronaghi et al., “Real-time DNA sequencing using detection of pyrophosphate release,” Analytical Biochemistry, Nov. 1996, 242(1):84-89.
Ronaghi, “Pyrosequencing sheds light on DNA sequencing,” Genome Res, Jan. 2001, 11(1):3-11.
Roy et al., “Assessing long-distance RNA sequence connectivity via RNA-templated DNA-DNA ligation,” eLife, 2015, 4:e03700, 21 pages.
Salmén et al., “Barcoded solid-phase RNA capture for Spatial Transcriptomics profiling in mammalian tissue sections,” Nature Protocols, Oct. 2018, 13(11):2501-2534.
Saxonov et al., “10x Genomics, Mastering Biology to Advance Human Health,” PowerPoint, 10x, 2020, 41 pages.
Schena et al., “Quantitative monitoring of gene expression patterns with a complementary DNA microarray,” Science, Oct. 1995, 270(5235):467-470.
Schouten et al., “Relative quantification of 40 nucleic acid sequences by multiplex ligation-dependent probe amplification,” Nucleic Acids Res., Jun. 2002, 30(12):e57, 13 pages.
Schweitzer et al., “Immunoassays with rolling circle DNA amplification: A versatile platform for ultrasensitive antigen detection,” Proc. Natl Acad. Sci. USA, May 22, 2000, 97:10113-119.
Schweitzer et al., “Multiplexed protein profiling on microarrays by rolling-circle amplification,” Nature Biotechnology, Apr. 2002, 20(4):359-365.
Schwers et al., “A high-sensitivity, medium-density, and target amplification-free planar waveguide microarray system for gene expression analysis of formalin-fixed and paraffin-embedded tissue,” Clin. Chem., Nov. 2009, 55(11):1995-2003.
Shalon et al., “A DNA microarray system for analyzing complex DNA samples using two-color fluorescent probe hybridization,” Genome Res., Jul. 1996, 6(7):639-45.
Shelbourne et al., “Fast copper-free click DNA ligation by the ring-strain promoted alkyne-azide cycloaddition reaction,” Chem. Commun., 2011, 47(22):6257-6259.
Shendure et al., “Accurate multiplex polony sequencing of an evolved bacterial genome,” Science, 2005, 309(5741):1728-1732.
Simonis et al., “Nuclear organization of active and inactive chromatin domains uncovered by chromosome conformation capture-on-chip (4C),” Nat Genet., Nov. 2006, 38(11):1348-54.
Singh et al., “High-throughput targeted long-read single cell sequencing reveals the clonal and transcriptional landscape of lymphocytes,” Nat Commun., Jul. 2019, 10(1):3120, 13 pages.
Skene et al., “An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites,” Elife, Jan. 2017, 6:e21856, 35 pages.
Slomovic et al., “Addition of poly(A) and poly(A)-rich tails during RNA degradation in the cytoplasm of human cells,” Proc Natl Acad Sci USA, Apr. 2010, 107(16):7407-12.
Sountoulidis et al., “Scrinshot, a spatial method for single-cell resolution mapping of cell states in tissue sections,” PLoS Biol., Nov. 2020, 18(11):e3000675, 32 pages.
Spiess et al., “A highly efficient method for long-chain cDNA synthesis using trehalose and betaine,” Anal. Biochem., Feb. 2002, 301(2):168-74.
Spitale et al., “Structural imprints in vivo decode RNA regulatory mechanisms,” Nature, 2015, 519(7544):486-90.
Stahl et al., “Visualization and analysis of gene expression in tissue sections by spatial transcriptomics,” Science, Jul. 2016, 353(6294):78-82.
Stahl et al., “Visualization and analysis of gene expression in tissue sections by spatial transcriptomics,” Supplementary Materials, Science, Jul. 2016, 353(6294):78-82, 41 pages.
Stimpson et al., “Real-time detection of DNA hybridization and melting on oligonucleotide arrays by using optical wave guides,” Proc Natl Acad Sci USA, Jul. 1995, 92(14):6379-83.
Stoddart et al., “Single-nucleotide discrimination in immobilized DNA oligonucleotides with a biological nanopore,” PNAS USA., May 2009, 106(19):7702-7707.
Strell et al., “Placing RNA in context and space—methods for spatially resolved transcriptomics,” The FEBS Journal, 2019, 286(8):1468-1481.
Stroh et al., “Quantum dots spectrally distinguish multiple species within the tumor milieu in vivo,” Nat Med., Jun. 2005, 11(6):678-82.
Su et al., “Restriction enzyme selection dictates detection range sensitivity in chromatin conformation capture-based variant-to-gene mapping approaches,” bioRxiv, Dec. 15, 2020, 22 pages.
Sun et al., “Statistical Analysis of Spatial Expression Pattern for Spatially Resolved Transcriptomic Studies,” Nature Methods, Jan. 27, 2020, 17(2): 193-200.
Sutherland et al., “Utility of formaldehyde cross-linking and mass spectrometry in the study of protein-protein interactions,” J. Mass Spectrom., Jun. 2008, 43(6):699-715.
Svensson et al., “SpatialDE: identification of spatially variable genes,” Nature Methods, May 2018, 15:343-346, 15 pages.
Takei et al., “Integrated Spatial Genomics Reveals Global Architecture of Single Nuclei,” Nature, Jan. 27, 2021, 590(7845):344-350, 53 pages.
Taylor et al., “Mitochondrial DNA mutations in human disease,” Nature Reviews Genetics, May 2005, 6(5):389-402.
Tentori et al., “Detection of Isoforms Differing by a Single Charge Unit in Individual Cells,” Chem. Int. Ed., 2016, 55(40):12431-5.
Tian et al., “Antigen peptide-based immunosensors for rapid detection of antibodies and antigens,” Anal Chem, 2009, 81(13):5218-5225.
Tijssen et al., “Overview of principles of hybridization and the strategy of nucleic acid assays” in Techniques in Biochemistry and Molecular Biology—Hybridization with Nucleic Acid Probes, 1993, 24(Chapter 2), 65 pages.
Tolbert et al., “New methods for proteomic research: preparation of proteins with N-terminal cysteines for labeling and conjugation,” Angewandte Chemie International Edition, Jun. 2002, 41(12):2171-4.
Toubanaki et al., “Dry-reagent disposable biosensor for visual genotyping of single nucleotide polymorphisms by oligonucleotide ligation reaction: application to pharmacogenetic analysis,” Hum Mutat., Aug. 2008, 29(8):1071-8.
Trejo et al., “Extraction-free whole transcriptome gene expression analysis of FFPE sections and histology-directed subareas of tissue,” PLoS ONE, Feb. 2019, 14(2):e0212031, 22 pages.
Tu et al., “TCR sequencing paired with massively parallel 3′ RNA-seq reveals clonotypic T cell signatures,” Nature Immunology, Dec. 2019, 20(12):1692-1699.
Twyman et al., “Techniques Patents for SNP Genotyping,” Pharmacogenomics, Jan. 2003, 4(1):67-79.
Ulery et al., “Biomedical Applications of Biodegradable Polymers,” J Polym Sci B Polym Phys., Jun. 2011, 49(12):832-864.
U.S. Appl. No. 60/416,118 Fan et al., Multiplex Nucleic Acid Analysis Using Archived or Fixed Samples, filed Oct. 3, 2002, 22 pages.
Van Gelder et al., “Amplified RNA synthesized from limited quantities of heterogeneous cDNA,” Proc. Natl. Acad. Sci. USA, 1990, 87(5):1663-1667.
Vandenbroucke et al., “Quantification of splice variants using real-time PCR,” Nucleic Acids Research, 2001, 29(13):e68, 7 pages.
Vandernoot et al., “cDNA normalization by hydroxyapatite chromatography to enrich transcriptome diversity in RNA-seq applications,” Biotechniques, Dec. 2012, 53(6):373-80.
Vasiliskov et al., “Fabrication of microarray of gel-immobilized compounds on a chip by copolymerization,” Biotechniques, Sep. 1999, 27(3):592-606.
Vázquez Bernat et al., “High-Quality Library Preparation for NGS-Based Immunoglobulin Germline Gene Inference and Repertoire Expression Analysis,” Front Immunol., Apr. 2019, 10:660, 12 pages.
Velculescu et al., “Serial analysis of gene expression,” Science, Oct. 1995, 270(5235):484-7.
Vickovic et al., “High-definition spatial transcriptomics for in situ tissue profiling,” Nat Methods, Oct. 2019, 16(10):987-990.
Vickovic et al., “SM-Omics: An automated Platform for High-Throughput Spatial Multi-Omics,” bioRxiv, Oct. 2020, 40 pages.
Vincent et al., “Helicase-dependent isothermal DNA amplification,” EMBO Rep., Aug. 2004, 5(8):795-800.
Viollet et al., “T4 RNA ligase 2 truncated active site mutants: improved tools for RNA analysis,” BMC Biotechnol., Jul. 2011, 11:72, 14 pages.
Vogelstein et al., “Digital PCR,” Proceedings of the National Academy of Sciences, Aug. 1999, 96(16):9236-9241.
Waichman et al., “Functional immobilization and patterning of proteins by an enzymatic transfer reaction,” Analytical chemistry, 2010, 82(4):1478-85.
Walker et al., “Strand displacement amplification—an isothermal, in vitro DNA amplification technique,” Nucleic Acids Research, 1992, 20(7):1691-1696.
Wang et al., “Concentration gradient generation methods based on microfluidic systems,” RSC Adv., 2017, 7:29966-29984.
Wang et al., “High-fidelity mRNA amplification for gene profiling,” Nature Biotechnology, Apr. 2000, 18(4):457-459.
Wang et al., “Imaging-based pooled CRISPR screening reveals regulators of lncRNA localization,” Proc Natl Acad Sci USA, May 2019, 116(22):10842-10851.
Wang et al., “Optimization of Process Conditions for Infected Animal Tissues by Alkaline Hydrolysis Technology,” Procedia Environmental Sciences, 2016, 31:366-374.
Wang et al., “Tagmentation-based whole-genome bisulfite sequencing,” Nature Protocols, Oct. 2013, 8(10):2022-2032.
Wang, “RNA amplification for successful gene profiling analysis,” J Transl Med., Jul. 2005, 3:28, 11 pages.
Weinreich et al., “Evidence that the cis Preference of the Tn5 Transposase is Caused by Nonproductive Multimerization,” Genes and Development, Oct. 1994, 8(19):2363-2374.
Wiedmann et al., “Ligase chain reaction (LCR)—overview and applications,” PCR Methods Appl., Feb. 1994, 3(4):S51-64.
Wilson et al., “New transposon delivery plasmids for insertional mutagenesis in Bacillus anthracis,” J Microbiol Methods, Dec. 2007, 71(3):332-5.
Wohnhaas et al., “DMSO cryopreservation is the method of choice to preserve cells for droplet-based single-cell RNA sequencing,” Scientific Reports, Jul. 2019, 9(1):10699, 14 pages.
Wolf et al., “Rapid hybridization kinetics of DNA attached to submicron latex particles,” Nucleic Acids Res, 1987, 15(7):2911-2926.
Wong et al., “Direct Site-Selective Covalent Protein Immobilization Catalyzed by a Phosphopantetheinyl Transferase,” J. Am. Chem Soc., 2008, 130(37):12456-64.
Worthington et al., “Cloning of random oligonucleotides to create single-insert plasmid libraries,” Anal Biochem, 2001, 294(2):169-175.
Wu et al., “Detection DNA Point Mutation with Rolling-Circle Amplification Chip,” IEEE, 2010 4th International Conference on Bioinformatics and Biomedical Engineering, Jun. 2010, 4 pages.
Wu et al., “RollFISH achieves robust quantification of single-molecule RNA biomarkers in paraffin-embedded tumor tissue samples,” Commun Biol., Nov. 2018, 1:209, 8 pages.
Xia et al., “Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization and cell cycle-dependent gene expression”, Proceedings of the National Academy of Sciences, Sep. 2019, 116(39):19490-19499.
Yasukawa et al., “Effects of organic solvents on the reverse transcription reaction catalyzed by reverse transcriptases from avian myeloblastosis virus and Moloney murine leukemia virus,” Biosci Biotechnol Biochem., 2010, 74(9):1925-30.
Yeakley et al., “A trichostatin A expression signature identified by TempO-Seq targeted whole transcriptome profiling,” PLoS One, May 2017, 12(5):e0178302, 22 pages.
Yeakley et al., “Profiling alternative splicing on fiber-optic arrays,” Nature biotechnology, 2002, 20:353-358.
Yershov et al., “DNA analysis and diagnostics on oligonucleotide microchips,” Proc. Natl. Acad. Sci. USA, May 1996, 93(10):4913-4918.
Yin et al., “Genetically encoded short peptide tag for versatile protein labeling by Sfp phosphopantetheinyl transferase,” PNAS, 2005, 102(44):15815-20.
Zahra et al., “Assessment of Different Permeabilization Methods of Minimizing Damage to the Adherent Cells for Detection of Intracellular RNA by Flow Cytometry,” Avicenna Journal of Medical Biotechnology, Jan. 1, 2014, 6(1):38-46.
Zhang et al., “Archaeal RNA ligase from Thermoccocus kodakarensis for template dependent ligation,” RNA Biol., Jan. 2017, 14(1):36-44.
Zhang et al., “Assembling DNA through Affinity Binding to Achieve Ultrasensitive Protein Detection,” Angew Chem Int Ed Engl., 2013, 52(41):10698-705.
Zhang et al., “Binding-induced DNA assembly and its application to yoctomole detection of proteins,” Anal Chem, 2012, 84(2):877-884.
Zhang et al., “Genome-wide open chromatin regions and their effects on the regulation of silk protein genes in Bombyx mori,” Sci Rep., Oct. 2017, 7(1):12919, 9 pages.
Zhang et al., “Multiplex ligation-dependent probe amplification (MLPA) for ultrasensitive multiplexed microRNA detection using ribonucleotide-modified DNA probes†,” Chem. Commun., 2013, 49:10013-10015.
Zhao et al., “Isothermal Amplification of Nucleic Acids,” Chemical Reviews, Nov. 2015, 115(22):12491-12545.
Zheng et al., “Origins of human mitochondrial point mutations as DNA polymerase gamma-mediated errors,” Mutat. Res., 2006, 599(1-2):11-20.
Zhou et al., “Genetically encoded short peptide tags for orthogonal protein labeling by Sfp and AcpS phosphopantetheinyl transferases,” ACS Chemical Biol., 2007, 2(5):337-346.
Zhu et al., “Reverse transcriptase template switching: a Smart approach for full-length cDNA library construction,” Biotechniques, Apr. 2001, 30(4):892-897.
10xGenomics.com, [online], “Visium Spatial Gene Expression Reagent Kits—User Guide,” Jan. 2022, retrieved on Jun. 27, 2024, retrieved from URL<https://web.archive.org/web/20230326192142/https://www.10xgenomics.com/support/spatial-gene-expression-fresh-frozen/documentation/steps/library-construction/visium-spatial-gene-expression-reagent-kits-user-guide>, 71 pages.
Hobro et al, “An evaluation of fixation methods: Spatial and compositional cellular changes observed by Raman imaging,” Vibrational Spectroscopy, Jul. 2017, 91:31-45.
Landegren et al., “A Ligase-Mediated Gene Detection Technique,” Science, 1988, 241(4869):1077-1080.
Schmidl et al., “ChIPmentation: fast, robust, low-input ChIP-seq for histones and transcription factors,” Nature Methods, Oct. 2015, 12:963-965.
Related Publications (1)
Number Date Country
20240002931 A1 Jan 2024 US
Provisional Applications (1)
Number Date Country
62970633 Feb 2020 US
Continuations (1)
Number Date Country
Parent 17167559 Feb 2021 US
Child 18340511 US