Methods for increasing resolution of spatial analysis

Information

  • Patent Grant
  • 12365935
  • Patent Number
    12,365,935
  • Date Filed
    Friday, October 21, 2022
    3 years ago
  • Date Issued
    Tuesday, July 22, 2025
    5 months ago
Abstract
Provided herein are methods for capturing an analyte from a first region of interest of a biological sample on a substrate, where the biological sample comprises the first region of interest and a second region, and where the method includes contacting the second region with a sealant in order to create a hydrophobic seal thereby preventing an interaction between an analyte from the second region with a capture domain of a capture probe.
Description
BACKGROUND

Cells within a tissue 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, signaling, and cross-talk with other cells in the tissue.


Spatial heterogeneity has been previously studied using techniques that typically provide data for a handful of analytes in the context of intact tissue or a portion of a tissue (e.g., tissue section), or provide significant analyte data from individual, single cells, but fails to provide information regarding the position of the single cells from the originating biological sample (e.g., tissue).


Increasing resolution of spatial heterogeneity can be achieved by selectively analyzing areas of interest on a substrate or in a biological sample. This is usually achieved by mechanically or enzymatically removing or ablating non-areas of interest, both of which can damage the analytes of interest. Therefore, alternative methods are needed that better preserve the captured analytes or decrease the amount of data generated (and thus resources used) for biological samples that are not of interest.


SUMMARY

Capturing analytes from a region of interest while excluding analytes from regions that are not currently of interest would be beneficial in a number of ways. For example, if a researcher stains a tissue to determine that there is one or a few regions of interest in a tissue that are of interest (e.g., not the whole tissue is of interest) it would be advantageous to look at only that one or a few regions of interest. Further, a researcher may be interested in only a specific portion, side, middle, edges, etc. of a tissue, but it is very difficult to isolate and assay those areas from the main tissue. It would be advantageous to have a method for isolating regions of interest, potentially interrelated areas of interest, from a whole tissue where differentially sectioning a tissue to isolate those areas is not always possible. As such, provided herein are methods for capturing an analyte from a first region of interest of a biological sample on a substrate, where the biological sample comprises the first region of interest and a second region, and where the method includes contacting the second region with a sealant in order to create a hydrophobic seal thereby preventing an interaction between an analyte from the second region with a capture domain of a capture probe.


Surprisingly, the methods described here also have the advantage of increasing the resolution of the spatial array of the regions of interest. As such, some embodiments of the methods result in greater sequencing depth, greater number of reads per spot, and greater number of unique molecular identifiers (UMIs) per spot for the region of interest as compared to a biological sample not contacted with a sealant. Therefore, the methods described herein further increase resolution of spatial analysis methodologies described herein and known in the art.


Some embodiments of the methods result in greater sequencing depth for the biological sample regions of interest as compared to the capture efficiency and sequencing depth for a biological sample not contacted with a sealant. Some embodiments of these methods result in a greater number of reads per spot for the biological sample as compared to the number of reads per spot for a biological sample not contacted with a sealant. Some embodiments of any of these methods result in a greater number of unique molecule identifier (UMI) counts per spot for the biological sample as compared to the number of UMI counts per spot for a biological sample not contacted with a sealant. As such, practicing the methods described herein not only allow for isolation of a region of interest for a more focused transcriptomic study, but they also provide the additional benefit of increasing the resolution for that region of interest being assayed.


In one aspect, provided herein is a method for capturing an analyte from a first region of interest of a biological sample, the method comprising: (a) contacting the biological sample with a substrate comprising a plurality of capture probes, wherein the capture probe comprises a spatial barcode and a capture domain; (b) identifying the first region of interest in the biological sample and a second region; (c) contacting the second region with a sealant; and (d) hybridizing the analyte from the first region of interest to the capture probe, thereby capturing the analyte from the first region of interest of the biological sample. In some instances, the sealant generates a hydrophobic seal that covers the second region, thereby preventing an interaction between an analyte from the second region and the capture domain of the capture probe.


In some instances, disclosed herein is a method for capturing an analyte from a first region of interest of a biological sample, comprising, (a) contacting the biological sample with a substrate comprising a plurality of capture probes, wherein the capture probe comprises a spatial barcode and a capture domain, (b) determining a first region of interest in on the biological sample and a second region and contacting the second region with a sealant, and (c) hybridizing the analyte from the first region of interest to the capture probe, thereby capturing the analyte from the first region of interest of the biological sample. In some instances, the sealant generates a hydrophobic seal that covers the second region, thereby preventing an interaction between an analyte from the second region and the capture domain of the capture probe.


In another aspect, provided herein is a method for capturing an analyte from a first region of interest of a biological sample, comprising, (a) providing a biological sample comprising: (i) the first region of interest, and (ii) the second region covered with a sealant, wherein the sealant generates a hydrophobic seal that covers the second region, thereby preventing an interaction between an analyte from the second region with a capture domain of a capture probe; and (b) contacting the biological sample with a substrate comprising a plurality of capture probes, wherein the capture probe comprises a spatial barcode and a capture domain, and (c) hybridizing the analyte from the first region of interest to the capture probe, thereby capturing the analyte from the first region of interest of the biological sample.


In some embodiments of any of the methods described herein, the methods further comprise determining (i) all or a portion of a sequence corresponding to the analyte bound to the capture domain or a complement thereof, and (ii) the sequence corresponding to the spatial barcode or a complement thereof.


In some embodiments, the method further comprises using the determined sequences of (i) and (ii) to determine the abundance or location of the analyte in the biological sample. In some embodiments of any of the methods described herein, further comprise identifying the first region of interest and the second region for applying a sealant prior to step (a).


In some embodiments, the first region of interest and second region are identified by a tissue detection machine learning module. In some embodiments, the contacting in step (b) comprises applying the sealant using a method selected from: a brush tip, a dropper, a pipette, a microfluidic device, and a liquid handling instrument. In some embodiments, the applying the sealant comprises automation. In some embodiments, the applying the sealant comprises identifying the first region of interest and the second region and applying the sealant using automation to the second region. In some embodiments, the automation comprises a system comprising a computer implemented method and a liquid handling instrument.


In some embodiments of any of the methods described herein, the sealant comprises a sealant that is capable of generating a hydrophobic seal. In some embodiments, the sealant is selected from the group consisting of: a coverslip sealant, a liquid coverslip, liquid from a hydrophobic pen, a mounting media, a gel, an adhesive, and a bilayer, or a combination thereof. In some embodiments, the sealant comprises a coverslip sealant. In some embodiments, the coverslip sealant is Covergrip™ Coverslip Sealant. In some embodiments of any of the methods described herein, further comprising allowing a period of time for the sealant to form a hydrophobic seal. In some embodiments, the period of time comprises about 15 minutes to about 4 hours. In some embodiments, the period of time is about 1 hour.


In some embodiments of any of the methods described herein, the methods further comprise contacting the biological sample with a permeabilization agent, wherein the permeabilization agent is selected from an organic solvent, a detergent, and an enzyme, or a combination thereof.


In some embodiments, the permeabilization agent is selected from the group consisting of: an endopeptidase, a protease sodium dodecyl sulfate (SDS), polyethylene glycol tert-octylphenyl ether, polysorbate 80, and polysorbate 20, N-lauroylsarcosine sodium salt solution, saponin, Triton X100™, and Tween-20™. In some embodiments, the endopeptidase is pepsin or proteinase K. In some embodiments, the permeabilizing step is performed after contacting the biological sample with the substrate.


In some embodiments of any of the methods described herein, further comprise removing the sealant from the biological sample. In some embodiments, removing comprises lifting, peeling, dissolving, liquefying, or decrosslinking the sealant from the biological sample. In some embodiments, removing comprises contacting the biological sample with a removing agent selected from the group consisting of: a solvent, an acid, a base, and a buffer, or any combinations thereof.


In some embodiments, the removing agent comprises phosphate buffered saline (PBS). In some embodiments, removing comprises contacting the sealant with PBS. In some embodiments of any of the methods described herein, the biological sample is a tissue sample. In some embodiments, the tissue sample is a formalin-fixed, paraffin-embedded (FFPE) tissue sample, a fresh tissue sample, or a frozen tissue sample. In some embodiments, the tissue sample is the FFPE tissue sample, and the tissue sample is decrosslinked.


In some embodiments of any of the methods described herein, the biological sample was previously stained. In some embodiments, the biological sample was previously stained using immunofluorescence or immunohistochemistry. In some embodiments, the biological sample was previously stained using hematoxylin and eosin.


In some embodiments of any of the methods described herein, the method results in greater capture efficiency for the biological sample as compared to the capture efficiency for a biological sample not contacted with a sealant. In some embodiments of any of the methods described herein, the second region is a region on the biological sample. In some embodiments, the second region is a region surrounding the biological sample on the substrate. In some embodiments, the second region comprises a region on the biological sample and a region surrounding the biological sample.


In another aspect, provided herein is a kit comprising: (a) a sealant; (b) a substrate comprising a plurality of capture probes, wherein the capture probes comprises a spatial barcode and a capture domain; and (c) instructions for performing the method of any one of the preceding claims. In some embodiments, the sealant comprises a coverslip sealant. In some embodiments, the coverslip sealant is Covergrip™ Coverslip Sealant. In some embodiments, the kit further comprises a sealant applicator.


In another aspect, disclosed herein is a composition comprising: (a) an array, wherein the array comprises a plurality of capture probes and wherein a capture probe of the plurality comprises a spatial barcode and a capture domain, (b) a biological sample positioned on the array, and (c) a sealant applied to a portion of the biological sample.


In another aspect, disclosed herein is a composition comprising, (a) an array, wherein the array comprises a plurality of capture probes and wherein a capture probe of the plurality comprises a spatial barcode and a capture domain, (b) a biological sample positioned on the array, and (c) a sealant applied to the area on the array surrounding the biological sample.


In another aspect, disclosed herein is a composition comprising, (a) an array, wherein the array comprises a plurality of capture probes and wherein a capture probe of the plurality comprises a spatial barcode and a capture domain, (b) a biological sample positioned on the array, and (c) a sealant applied to a portion of the biological sample and the area on the array surrounding the biological sample. In some embodiments, a plurality of analytes from the biological sample hybridize to capture domains of capture probes located under the biological sample and do not substantially hybridize or do not hybridize to capture domains of the capture probes under the sealant.


All publications, patents, and patent applications 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, comprising 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.





BRIEF DESCRIPTION OF THE 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 shows an exemplary spatial analysis workflow for evaluating analytes in a region of interest using a sealant.



FIG. 2 is a schematic diagram showing an example of a capture probe, as described herein.



FIG. 3 is a schematic illustrating a cleavable capture probe, wherein the cleaved capture probe can enter into a cell and bind to target analytes within the sample.



FIG. 4 is a schematic diagram of an exemplary multiplexed spatially-barcoded feature.



FIG. 5 is a schematic showing the exemplary arrangement of barcoded features on a substrate, generating an arrayed substrate.



FIG. 6 shows the areas of the biological sample to which a sealant was applied as indicated by the solid black line.



FIG. 7 shows gene expression heat maps for the biological samples from FIG. 6. Area of the sealant is indicated by the solid while line in the right images.



FIG. 8 shows fraction of raw reads on target and unambiguously mapped (bottom panels), and fractions of spots under tissue (top panels) of liver (left panels) and spleen (right panels) biological samples were positioned on a substrate with an area outside of the biological sample was unblocked (control), blocked with cover grip sealant, or blocked with nail polish. Each spot is representative of a biological sample.



FIG. 9 shows fraction of reads in spots under the tissue (bottom panels), and fraction of targeted reads useable (top panels) of liver (left panels) and spleen (right panels) biological samples were positioned on a substrate with an area outside of the biological sample was unblocked (control), blocked with cover grip sealant, or blocked with nail polish.



FIG. 10 shows median panel genes detected at 10,000 panel reads per spot (bottom panels) and median panel reads detected at 2,500 panel reads per spot (top panels) of liver (left panels) and spleen (right panels) biological samples were positioned on a substrate with an area outside of the biological sample was unblocked (control), blocked with cover grip sealant, or blocked with nail polish.



FIG. 11A shows median panel UMI counts at 10,000 panel reads per spot (bottom panels) and median panel UMI counts at 5,000 panel reads per spot (top panels) of liver (left panels) and spleen (right panels) biological samples were positioned on a substrate with an area outside of the biological sample was unblocked (control), blocked with cover grip sealant, or blocked with nail polish.



FIG. 11B shows median panel UMI counts at 10000 raw reads per spot (bottom panels) and median panel UMI counts at 1,000 raw reads per spot (top panels) of liver (left panels) and spleen (right panels) biological samples were positioned on a substrate with an area outside of the biological sample was unblocked (control), blocked with cover grip sealant, or blocked with nail polish.



FIG. 12A shows panel cDNA PCR duplication of 5,000 panel reads per spot (bottom panels) and panel cDNA PCR duplication of 1,000 panel reads per spot (top panels) of liver (left panels) and spleen (right panels) biological samples were positioned on a substrate with an area outside of the biological sample was unblocked (control), blocked with cover grip sealant, or blocked with nail polish.



FIG. 12B shows panel cDNA PCR duplication of 5,000 raw reads per spot (bottom panels) and panel cDNA PCR duplication of 2,500 raw reads per spot (top panels) of liver (left panels) and spleen (right panels) biological samples were positioned on a substrate with an area outside of the biological sample was unblocked (control), blocked with cover grip sealant, or blocked with nail polish.



FIG. 13A shows spatial sequencing analysis of spleen and liver biological samples uncovered (control), blocked with cover grip sealant, or blocked with nail polish.



FIG. 13B shows a tissue plot clustering of transcripts of spleen and liver biological samples uncovered (control), blocked with cover grip sealant, or blocked with nail polish.





DETAILED DESCRIPTION
I. Introduction

Provided herein are methods for capturing an analyte from a region of interest of a biological sample on a substrate, where the biological sample comprises the first region that is the region of interest and a second region, and where the method includes contacting the second region with a sealant in order to create a hydrophobic seal thereby preventing an interaction between an analyte in the second region with a capture domain of a capture probe (see FIG. 1). Some embodiments of the methods result in greater sequencing depth for the region of interest in the biological sample as compared to the capture efficiency and sequencing depth for a biological sample not contacted with a sealant. Some embodiments of these methods result in a greater number of reads per spot for the biological sample as compared to the number of reads per spot for a biological sample not contacted with a sealant. Some embodiments of any of these methods result in a greater number of unique molecule identifier (UMI) counts per spot for the biological sample as compared to the number of UMI counts per spot for a biological sample not contacted with a sealant.


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. 15:50, 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 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 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 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 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 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)). See, e.g., 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 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 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) an analyte capture 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” 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 cases, an analyte binding moiety barcode (or portion thereof) may be able to be removed (e.g., cleaved) from the analyte capture agent. Additional description of analyte capture agents can be found in WO 2020/176788 and/or 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). In some instances, the spatially-barcoded array populated with capture probes (as described further herein) is contacted with a biological sample, and the biological sample is permeabilized, allowing the analyte to migrate away from the sample and toward the array. The analyte interacts with a capture probe on the spatially-barcoded array. 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 instances, the spatially-barcoded array populated with capture probes (as described further herein) can be contacted with a sample. The spatially-barcoded capture probes are cleaved and then interact with cells within the provided biological sample. The interaction can be a covalent or non-covalent cell-surface interaction. The interaction can be an intracellular interaction facilitated by a delivery system or a cell penetration peptide. Once the spatially-barcoded capture probe is associated with a particular cell, the sample can be optionally removed for analysis. The sample can be optionally dissociated before analysis. Once the tagged cell is associated with the spatially-barcoded capture probe, the capture probes can be analyzed to obtain spatially-resolved information about the tagged cell.


In some instances, sample preparation may include placing the sample on a slide, fixing the sample, and/or staining the biological sample for imaging. The stained sample can be then imaged on the array using both brightfield (to image the sample hematoxylin and eosin stain) and/or fluorescence (to image features) modalities. Optionally, the sample can be destained prior to permeabilization. In some embodiments, analytes are then released from the sample and capture probes forming the spatially-barcoded array hybridize or bind the released analytes. The sample is then removed from the array and the capture probes cleaved from the array. The biological sample and array are then optionally imaged a second time in one or both modalities while the analytes are reverse transcribed into cDNA, and an amplicon library is prepared and sequenced. Images are then spatially-overlaid in order to correlate spatially-identified biological sample information. When the sample and array are not imaged a second time, a spot coordinate file is supplied instead. The spot coordinate file replaces the second imaging step. Further, amplicon library preparation can be performed with a unique PCR adapter and sequenced.


In some instances, disclosed is an exemplary workflow that utilizes a spatially-barcoded array on a substrate, where spatially-barcoded capture probes are clustered at areas called features. The spatially-barcoded capture probes can include a cleavage domain, one or more functional domains, a spatial barcode, a unique molecular identifier, and a capture domain. The spatially-barcoded capture probes can also include a 5′ end modification for reversible attachment to the substrate. The spatially-barcoded array is contacted with a biological sample, and the sample is permeabilized through application of permeabilization reagents. Permeabilization reagents may be administered by placing the array/sample assembly within a bulk solution. Alternatively, permeabilization reagents may be administered to the sample via a diffusion-resistant medium and/or a physical barrier such as a lid, wherein the sample is sandwiched between the diffusion-resistant medium and/or barrier and the array-containing substrate. The analytes are migrated toward the spatially-barcoded capture array using any number of techniques disclosed herein. For example, analyte migration can occur using a diffusion-resistant medium lid and passive migration. As another example, analyte migration can be active migration, using an electrophoretic transfer system, for example. Once the analytes are in close proximity to the spatially-barcoded capture probes, the capture probes can hybridize or otherwise bind a target analyte. The biological sample can be optionally removed from the array.


The capture probes can be optionally cleaved from the array, and the captured analytes can be spatially-barcoded by performing a reverse transcriptase first strand cDNA reaction. A first strand cDNA reaction can be optionally performed using template switching oligonucleotides. For example, a template switching oligonucleotide can hybridize to a poly(C) tail added to a 3′end of the cDNA by a reverse transcriptase enzyme in a template independent manner. The original mRNA template and template switching oligonucleotide can then be denatured from the cDNA and the spatially-barcoded capture probe can then hybridize with the cDNA and a complement of the cDNA can be generated. The first strand cDNA can then be purified and collected for downstream amplification steps. The first strand cDNA can be amplified using PCR, where the forward and reverse primers flank the spatial barcode and analyte regions of interest, generating a library associated with a particular spatial barcode. In some embodiments, the library preparation can be quantitated and/or quality controlled to verify the success of the library preparation steps. In some embodiments, the cDNA comprises a sequencing by synthesis (SBS) primer sequence. The library amplicons are sequenced and analyzed to decode spatial information.


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 ligation product or an analyte capture agent), or a portion thereof), or derivatives thereof (see, e.g., 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 ligation products with a template (e.g., a DNA or RNA template, such as an analyte or an intermediate agent, or portion thereof), thereby creating ligations products that serve as proxies for a template.


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 instances, the capture probe can include functional sequences that are useful for subsequent processing. In some instances, a capture probe can be reversibly attached to a substrate via a linker. The capture probe can include one or more functional sequences, which can include a sequencer specific flow cell attachment sequence, e.g., a P5 or P7 sequence, as well as functional sequence, which can include sequencing primer sequences, e.g., a R1 primer binding site, a R2 primer binding site. In some embodiments, sequence is a P7 sequence and sequence is a R2 primer binding site. A capture probe can additionally include a spatial barcode and/or unique molecular identifier and a capture domain. The different sequences of the capture probe need not be in the sequential manner as depicted in this example, however the capture domain should be placed in a location on the barcode wherein analyte capture and extension of the capture domain to create a copy of the analyte can occur.


In some instance, 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.



FIG. 2 is a schematic diagram showing an exemplary capture probe, as described herein. As shown, the capture probe 202 is optionally coupled to a feature 201 by a cleavage domain 203, such as a disulfide linker. The capture probe can include a functional sequence 204 that are useful for subsequent processing. The functional sequence 204 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 205. The capture probe can also include a unique molecular identifier (UMI) sequence 206. While FIG. 2 shows the spatial barcode 205 as being located upstream (5′) of UMI sequence 206, it could also be reversed such that the spatial barcode could be upstream of the UMI. The capture probe also includes a capture domain 207 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 205 and the UMI sequence 206, between the UMI sequence 206 and the capture domain 207, or following the capture domain 207. 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. Such 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.


In some cases, capture probes are introduced into the cell using a cell-penetrating peptide. FIG. 3 is a schematic illustrating a cleavable capture probe that includes a cell-penetrating peptide, wherein the cleaved capture probe can enter into a non-permeabilized cell and bind to analytes within the sample. The capture probe 301 contains a cleavage domain 302, a cell penetrating peptide 303, a reporter molecule 304, and a disulfide bond (—S—S—). 305 represents all other parts of a capture probe, for example a spatial barcode and a capture domain.


In some instances, the disclosure provides multiplexed spatially-barcoded features. FIG. 4 is a schematic diagram of an exemplary multiplexed spatially-barcoded feature. In FIG. 4, the feature 401 (e.g., a bead, a location on a slide or other substrate, a well on a slide or other substrate, a partition on a slide or other substrate, etc.) 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 402. One type of capture probe associated with the feature includes the spatial barcode 402 in combination with a poly(T) capture domain 403, designed to capture mRNA target analytes. A second type of capture probe associated with the feature includes the spatial barcode 402 in combination with a random N-mer capture domain 404 for gDNA analysis. A third type of capture probe associated with the feature includes the spatial barcode 402 in combination with a capture domain complementary to the analyte capture agent of interest 405. A fourth type of capture probe associated with the feature includes the spatial barcode 402 in combination with a capture probe that can specifically bind a nucleic acid molecule 406 that can function in a CRISPR assay (e.g., CRISPR/Cas9). While only four different capture probe-barcoded constructs are shown in FIG. 4, 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. 4 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 MEW 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.


Additional features of capture probes are described in WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663, each of which is incorporated by reference in its entirety. Generation of capture probes can be achieved by any appropriate method, including those described in WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663, each of which is incorporated by reference in its entirety.


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 specifically 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 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 WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Some quality control measures are described in 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 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 WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.



FIG. 5 depicts an exemplary arrangement of barcoded features on a substrate, in this case generating an array on a substrate. From left to right, FIG. 5 shows a slide including six spatially-barcoded arrays, an enlarged schematic of one of the six spatially-barcoded arrays, showing a grid of barcoded features in relation to a biological sample, and an enlarged schematic of one section of an array, showing the specific identification of multiple features within the array (labelled as ID578, ID579, ID560, etc.).


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, areas on a substrate) 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 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 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 5′ 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 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 ligation product is released from the analyte. In some instances, the ligation product is released using an endonuclease (e.g., RNAse H). The released 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 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 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 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 for example, placed 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 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.


II. Selecting One or More Regions of Interest Using a Sealant

Spatial analysis workflows generally involve contacting a biological sample with a substrate, for example that comprises a plurality of barcoded capture probes. However, sometimes interrogating a whole tissue section is not needed or desired, and only a section or portion of a tissue section is of interest. In such instances, methods to select a region of interest for further evaluation are needed. Provided herein are methods for capturing an analyte from a first region of interest of a biological sample on a substrate, where the biological sample comprises the first region of interest and a second region (e.g., a region of non-interest), wherein the method includes contacting the second region with a sealant in order to create a hydrophobic seal, thereby preventing an interaction between an analyte with a capture domain of a capture probe at the second region. Although a first region and a second region are described in this application, it is appreciated that there can be multiple first regions of interest (i.e., multiple regions of interest) and multiple second regions (i.e., multiple regions of non-interest). In addition, in some instances, the second region can be identified as one or more areas of a substrate upon which no biological sample is placed.


The disclosure is predicated on the discovery that downstream analysis (e.g., sequencing) can result in increased reads or clearer understanding of analyte spatial analysis if regions on a substrate that are not of interest (e.g., second regions; regions where no biological sample is present or regions where a biological sample is present but is not the region of interest in the biological sample) do not capture analytes and do not contribute to downstream analysis.


In some instances, the methods include providing a biological sample on a substrate that includes a plurality of capture probes. In some instances, the plurality of capture probes include a capture domain and a spatial barcode. In some instances, the biological sample on the substrate is stained using any of the methods described herein. In some instances, the biological sample is imaged, capturing a staining pattern created during the stain step. In some instances, the biological sample is optionally destained. After optional destaining, in some instances, the biological sample is contacted with a sealant, wherein the sealant generates a hydrophobic seal that covers a region of the biological sample and prevents an interaction between an analyte from the region with a capture domain of the capture probe on the substrate. In some instances, the biological sample is permeabilized using methods disclosed herein (e.g., a solution that includes proteinase K and SDS). Permeabilization releases the analytes from the biological sample. Permeabilization can be performed contemporaneously with or after contacting the substrate with the biological sample. Analytes migrate from the biological sample and are captured by capture probes on the substrate. In some instances, after capture, the analytes and/or the probe can be amplified and the sequence can be determined using methods disclosed herein.


The method can further include imaging steps using any appropriate method described herein followed by a permeabilization step. In some embodiments, the imaging step comprises immunofluorescence or H&E stain. In some instances, the permeabilization step can include the use of pepsin and hydrochloric acid. Following the permeabilization step is standard cDNA synthesis and library preparation as further described herein.


Accordingly, provided herein are materials and methods that allow a user to create a hydrophobic seal of one or more regions of interest of the biological sample, for example, to prevent analyte capture of the analytes corresponding to the region of interest covered by the hydrophobic seal. In some embodiments, a hydrophobic seal is reversible.


Provided herein are methods for capturing an analyte from a first region of interest of a biological sample on a substrate, wherein the biological sample comprises the first region of interest and a second region, the method comprising: (a) contacting the biological sample with a substrate comprising a plurality of capture probes wherein a capture probe comprises a spatial barcode and the capture domain; (b) contacting the second region with a sealant, wherein the sealant generates a hydrophobic seal that covers the second region, thereby preventing an interaction between an analyte from the second region with a capture domain of a capture probe; and (c) hybridizing the analyte from the first region of interest to the capture probe, thereby capturing the analyte from the first region of interest of the biological sample.


Also provided herein are methods for capturing an analyte from a first region of interest of a biological sample, wherein the biological sample comprises the first region of interest and a second region, the method comprising: (a) contacting the biological sample with a substrate comprising a plurality of capture probes comprising the capture probe, wherein the capture probe comprises a spatial barcode and a capture domain; (b) providing a biological sample comprising: (i) the first region of interest, and (ii) the second region covered with a sealant, wherein the sealant generates a hydrophobic seal that covers the second region, thereby preventing an interaction between an analyte from the second region with a capture domain of a capture probe; and (c) hybridizing the analyte from the first region of interest to the capture probe, thereby capturing the analyte from the first region of interest of the biological sample. In some embodiments, the method further includes, prior to step (a), applying the sealant to the second region, such that the sealant forms a hydrophobic seal that covers the second region, thereby blocking the interaction between the analyte from the second region and the capture domain of the capture probe.


Finally, also provided herein are methods for capturing an analyte from a first region of interest of a biological sample, wherein the biological sample comprises the first region of interest and a second region, the method comprising: (a) providing a biological sample comprising: (i) the first region of interest, and (ii) the second region covered with a sealant, wherein the sealant generates a hydrophobic seal that covers the second region, thereby preventing an interaction between an analyte from the second region with a capture domain of a capture probe; (b) contacting the biological sample with a substrate comprising a plurality of capture probes comprising the capture probe, wherein the capture probe comprises a spatial barcode and a capture domain; (c) applying the sealant to the second region, such that the sealant forms a hydrophobic seal that covers the second region, thereby blocking the interaction between the analyte from the second region and the capture domain of the capture probe; and (d) hybridizing the analyte from the first region of interest to the capture probe, thereby capturing the analyte from the first region of interest of the biological sample.


In some embodiments of any of the methods described herein, the method further includes determining (i) all or a portion of a sequence corresponding to the analyte bound to the capture domain or a complement thereof, and (ii) the sequence corresponding to the spatial barcode or a complement thereof, and using the determined sequences of (i) and (ii) to determine the abundance or location of the analyte in the biological sample.


In some embodiments, a biological sample is placed on a substrate. In some embodiments, a biological sample is placed on the substrate prior to performing the methods described herein.


In some embodiments, a substrate can be used to provide support to a biological sample, particularly, for example, a thin tissue section. In some embodiments, mounting the biological sample onto the substrate includes sectioning of a tissue sample (e.g., cryostat sectioning) followed by a fixation step. In some instances, the fixation step can include fixation with methanol. In some instances, the fixation step includes formalin (e.g., 2% formalin).


Further, a “substrate” (e.g., a first substrate, a second substrate, a third substrate, or more substrates) as used herein, and when not preceded by the modifier “chemical”, refers to a member with at least one surface that generally functions to provide physical support for biological samples, analytes, and/or any of the other chemical and/or physical moieties, agents, and structures described herein. Substrates can be formed from a variety of solid materials, gel-based materials, colloidal materials, semi-solid materials (e.g., materials that are at least partially cross-linked), materials that are fully or partially cured, and materials that undergo a phase change or transition to provide physical support. Examples of substrates that can be used in the methods and systems described herein include, but are not limited to, slides (e.g., slides formed from various glasses, slides formed from various polymers), hydrogels, layers and/or films, membranes (e.g., porous membranes), flow cells, cuvettes, wafers, plates, or combinations thereof. In some embodiments, substrates can optionally include functional elements such as recesses, protruding structures, microfluidic elements (e.g., channels, reservoirs, electrodes, valves, seals), and various markings, as will be discussed in further detail below. A wide variety of different substrates can be used for the foregoing purposes. In general, a substrate can be any suitable support material. Exemplary substrates include, but are not limited to, glass, modified and/or functionalized glass, hydrogels, films, membranes, plastics (including e.g., acrylics, polystyrene, copolymers of styrene and other materials, polypropylene, polyethylene, polybutylene, polyurethanes, Teflon™, cyclic olefins, polyimides etc.), nylon, ceramics, resins, Zeonor, silica or silica-based materials including silicon and modified silicon, carbon, metals, inorganic glasses, optical fiber bundles, and polymers, such as polystyrene, cyclic olefin copolymers (COCs), cyclic olefin polymers (COPs), polypropylene, polyethylene polycarbonate, or combinations thereof.


Accordingly, a “substrate” is a support that is insoluble in aqueous liquid and which allows for positioning of biological samples, analytes, features, and/or capture probes on the substrate. In many of the methods described herein, features (as described further below) are collectively positioned on a substrate. An “array” is a specific arrangement of a plurality of features that is either irregular or forms a regular pattern. Individual features in the array differ from one another based on their relative spatial locations. In general, at least two of the plurality of features in the array include a distinct capture probe (e.g., any of the examples of capture probes described herein).


In some embodiments, a workflow described herein comprises contacting a biological sample on a substrate with at least one feature array of the substrate.


(a) Regions of Interest

In some embodiments, the biological sample includes a first region of interest. In some embodiments, a region of interest includes the entire biological sample. In some embodiments, a first region of interest includes a portion of the biological sample. In some embodiments, a biological sample also includes a second region, which is typically not of interest in the sense that a researcher is not interested in spatially assaying the second region. It is understood that a “first” region and a “second” region are designators used for convenience, and any two areas may be used to designate a region of interest and a region of non-interest. Further in some instances, more than one region of interest is identified in a biological sample. For instance, a biological sample can include at least one, two, three, four, or more regions of interest and so on. In some instances, the substrate can include multiple regions (e.g., at least one, two, three, four, or more) that are identified as “not of interest”. As such, a biological sample could include one or more regions of interest where determining spatial information is desirous, and one or more other regions where determination of spatial information is not desirous.


In some embodiments, a first region of interest can be confined to a first portion of a biological sample, and a second region can be confined to a second portion of the biological sample.


In some embodiments, a region of interest (e.g., a first region of interest) corresponds to an anatomical feature within the biological sample. For instances, a specific type of cell can comprise a region of interest. In some instances, a specific pathology (e.g., a region identified as containing cancer cells) comprises the region of interest (e.g., a first region of interest).


In some embodiments, a region of interest (e.g., a first region of interest) corresponds to coordinates on a substrate. In such cases, the coordinates could be identified manually (e.g., visual inspection) or using a trained tissue detection machine learning module.


In some embodiments of any of the methods described herein, a biological sample can include a plurality of regions of interest (e.g., multiple first regions of interest). In such cases, one or more regions that are not of interest can be contacted with a sealant, wherein the sealant creates a hydrophobic seal covering the one or more regions not of interest (e.g., a second region) thereby preventing interaction between an analyte corresponding to the one or more regions not of interest and a capture probe on a substrate. As described herein, the hydrophobic seal covering the one or more regions not of interest can be removed using any of the methods described herein.


(b) Identifying One or More Regions of Interest

In some embodiments, the methods described herein include identifying one or more regions of interest (e.g., the first region of interest; multiple first regions of interest). In some embodiments, the method includes identifying a first region of interest and not identifying a second region. In such cases where a first region of interest is identified, the remaining biological sample on the substrate can be considered the second region that is not of interest. For example, where the method includes identifying a first region of interest but not a second region, the biological sample that does not correspond to the first region of interest can be considered the second region. In some cases, identifying the first region of interest and the second region is performed prior to contacting the biological sample with a sealant. Non-limiting examples of methods of identifying the first region of interest and the second region that may or may not be of interest include identifying manually (e.g., visual inspection) or using a tissue detection machine learning module, for example HALO AI (Indicia Labs) and ONCOTOPIX (Visiopharm), and as described in Tomita et al. (JAMA Network Open. 2019, 2(11) e1914645), Bychkov et al. (Scientific Reports, 2018, 8:3395), and Tsai and Tao, Electronics 2021, 10, 1662, each of which is incorporated by reference in its entirety. In some embodiments, identifying a first region of interest and a second region include visual inspection following staining.


In some embodiments, the trained machine learning module includes at least one of a supervised learning module, a semi supervised learning module, an unsupervised learning module, a regression analysis module, a reinforcement learning module, a self-learning module, a feature learning module, a sparse dictionary learning module, an anomaly detection module, a generative adversarial network, a convolutional neural network, or an association rules module. For example, the first region of interest and the second region are identified by a supervised machine learning module. In another example, the first region of interest and the second region are identified by a tissue detection machine learning module.


In some embodiments, identifying a first region of interest and/or a second region include detecting a signal corresponding to one or more analytes of interest. In such cases, the signal corresponding to the one or more analytes in a first region of interest can include a signal from a conjugated antibody bound to the one or more analytes, conjugated secondary antibody bound to a primary antibody bound to the one or more analyte, a labelled nucleotide, a labelled oligonucleotide, a labelled oligonucleotide probe, or any combination thereof. In some embodiments, the one or more analytes of interest include, without limitation, 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, extracellular and intracellular proteins, antibodies, and antigen binding fragments. In some embodiments, the signal corresponding to the one or more analytes identifies a first region of interest.


(c) Sealant

In some embodiments, the methods provided herein include a sealant to the biological sample. In some embodiments, a sealant is capable of generating a hydrophobic seal. As used herein, the term “hydrophobic seal” refers to a seal that is impervious to water. In some cases, the region of interest of the biological sample that is contacted with the sealant can be referred to as being “sealed.” In some embodiments, the biological sample is contacted with the sealant under conditions such that a hydrophobic seal is generated after a period of time.


In some instances, the sealant is an organic adhesive. In some instances, the sealant includes d-limonene, which is a natural solvent that dries to form a clear, hard, durable seal. In some instances, the sealant forms a clear, hard seal on the capture probes.


In some instances, the sealant includes one or more polymers and/or one or more polymer resins. In some instances, the polymer is nitrocellulose. In some instances, the sealant is dissolved in a solvent, including but not limited to ethyl acetate or butyl acetate.


In some embodiments, the sealant is selected from the group consisting of: a coverslip sealant, a liquid coverslip, a mounting media, a gel, an adhesive, and a bilayer, or a combination thereof. In some embodiments, the sealant comprises a coverslip sealant. In some embodiments, the coverslip sealant is Covergrip™ Coverslip Sealant (Biotium). In some embodiments, the sealant is a commercially available nail polish, such as a clear nail polish (e.g., Sally Hansen brand nail polish or any other commercially available brand).


In some instances, the sealant is formed using the solution from a hydrophobic (PAP) pen traditionally used to draw a hydrophobic circle around the tissue in the setting of immunostaining. In some instance, the solution from a hydrophobic pen is insoluble in ethanol, acetone and water.


In some embodiments, contacting the biological sample with the substrate occurs prior to or contemporaneously with the time when the sealant has formed a hydrophobic seal.


In some embodiments, contacting the biological sample with the substrate occurs before the sealant has formed a hydrophobic seal.


In some embodiments, the period of time for the sealant to form a hydrophobic seal includes about 15 minutes to about 4 hours (e.g., about 15 minutes to about 3.5 hours, about 15 minutes to about 3 hours, about 15 minutes to about 2.5 hours, about 15 minutes to about 2 hours, about 15 minutes to about 1.5 hours, about 15 minutes to about 1.0 hour, about 15 minutes to about 45 minutes, about 15 minutes to about 30 minutes, about 30 minutes to about 4 hours, about 30 minutes to about 3.5 hours, about 30 minutes to about 3 hours, about 30 minutes to about 2.5 hours, about 30 minutes to about 2 hours, about 30 minutes to about 1.5 hours, about 30 minutes to about 1.0 hour, about 30 minutes to about 45 minutes, about 45 minutes to about 4 hours, about 45 minutes to about 3.5 hours, about 45 minutes to about 3 hours, about 45 minutes to about 2.5 hours, about 45 minutes to about 2 hours, about 45 minutes to about 1.5 hours, about 45 minutes to about 1.0 hour, about 1.0 hour to about 4 hours, about 1.0 hour to about 3.5 hours, about 1.0 hour to about 3 hours, about 1 hour to about 2.5 hours, about 1 hour to about 2 hours, about 1 hour to about 1.5 hours, about 1.5 hours to about 4 hours, about 1.5 hours to about 3.5 hours, about 1.5 hours to about 3 hours, about 1.5 hours to about 2.5 hours, about 1.5 hours to about 2 hours, about 2 hours to about 4 hours, about 2.0 hours to about 3.5 hours, about 2.0 hours to about 3 hours, about 2.0 hours to about 2.5 hours, about 2.5 hours to about 4 hours, about 2.5 hours to about 3.5 hours, about 2.5 hours to about 3.0 hour, about 3.0 hours to about 4 hours, about 3.0 hours to about 3.5 hours, or about 3.5 hours to about 4 hours). In some embodiments, the period of time for the sealant to form a hydrophobic seal is about 1.0 hours.


In some embodiments, the methods provided herein include contacting the biological sample with a sealant. In some embodiments, contacting the biological sample with a sealant includes applying the sealant using a method selected from: a brush tip, a dropper, a pipette, a microfluidic device, and a liquid handling instrument. The sealant can be applied onto the biological sample. In some embodiments, the applying the sealant comprises automation.


In some embodiments, applying the sealant includes identifying the first region of interest from the second region; and applying the sealant using automation to the second region. In some embodiments, applying the sealant includes identifying multiple first regions of interest and multiple second regions; and applying the sealant using automation to the multiple second regions.


In some embodiments, the automation comprises a system comprising a computer implemented method and a liquid handling instrument. In some embodiments, a computer implemented method can be used to train a machine learning module (e.g., a tissue detection machine learning module) and determine, using the machine learning module, a first region of interest and a second region. In such cases, a computer implemented method includes: generating a dataset of a plurality of biological samples (e.g., one or more reference samples), wherein the dataset comprises, for each biological sample of the plurality of biological samples: (i) analyte data for a plurality of analytes at a plurality of spatial locations of a reference biological sample; (ii) image data of the reference biological sample; and (iii) registration data of the imaged data linking to the analyte data according to the spatial locations of the reference biological sample; wherein the reference biological sample comprises (1) a first region of interest in the reference biological sample, and (2) a second region that may not be of particular interest; (b) training a machine learning module with the dataset, thereby generating a trained tissue detection machine learning module; and (c) identifying a first region of interest and/or a second region in a biological sample via the trained machine learning module.


(d) Permeabilization

In some embodiments, the method also includes contacting the biological sample with a permeabilization agent, wherein the permeabilization agent is selected from an organic solvent, a detergent, and an enzyme, or a combination thereof. Non-limiting examples of permeabilization agent include without limitation: an endopeptidase, a protease sodium dodecyl sulfate (SDS), polyethylene glycol tert-octylphenyl ether, polysorbate 80, and polysorbate 20, N-lauroylsarcosine sodium salt solution, saponin, Triton X100™, and Tween-20™.


In some embodiments, the permeabilizing step is performed after contacting the biological sample with the substrate. In some embodiments, the permeabilizing step is performed after the sealant is allowed to form a hydrophobic seal.


In some embodiments, permeabilization occurs using a protease. In some embodiments, the protease is an endopeptidase. In some embodiments, the endopeptidase is pepsin or proteinase K. Other endopeptidases that can be used include but are not limited to trypsin, chymotrypsin, elastase, thermolysin, clostripan, glutamyl endopeptidase (GluC), ArgC, peptidyl-asp endopeptidase (ApsN), endopeptidase LysC and endopeptidase LysN. In some embodiments, the endopeptidase is pepsin. In some embodiments, after creating a seal on the second region, the biological sample is permeabilized.


In some embodiments, methods provided herein include permeabilization of the biological sample such that the capture probe is more readily accessible for hybridizing to the analyte (i.e., compared to no permeabilization). In some embodiments, reverse transcription (RT) reagents can be added to permeabilized biological samples. Incubation with the RT reagents can produce sequences complementary to the analyte that is hybridized to the capture probe. In some embodiments, second strand reagents (e.g., second strand primers, enzymes, labeled and unlabeled dNTPs) can be added to the biological sample on the slide to initiate second strand synthesis.


In some instances, the permeabilization step includes application of a permeabilization buffer to the biological sample. In some instances, the permeabilization buffer includes a buffer (e.g., Tris pH 7.5), MgCl2, sarkosyl detergent (e.g., sodium lauroyl sarcosinate), enzyme (e.g., proteinase K), and nuclease free water.


In some instances, the permeabilization buffer includes a ribonuclease inhibitor. In some instances, the ribonuclease inhibitor includes ribonucleoside vanadyl complex (RVC). In some instances, the permeabilization buffer includes a ribonuclease inhibitor and a reducing agent. For example, the permeabilization buffer includes RVC and DTT. In some instances, RVC is added to the permeabilization buffer at a final concentration of about 2 mM to about 20 mM (e.g., about 2 mM to about 15 mM, about 2 mM to about 10 mM, about 2 mM to about 5 mM, about 5 mM to about 20 mM, about 5 mM to about 15 mM, about 5 mM to about 10 mM, about 10 mM to about 20 mM, about 10 mM to about 15 mM, or about 15 mM to about 20 mM). In some instances, RVC is added to the permeabilization at a final concentration of about 10 mM.


In some instances, the permeabilization step is performed at 37° C. In some instances, the permeabilization step is performed for about 5 minutes to 2 hours (e.g., about 5 minutes, 10 minutes, about 20 minutes, about 30 minutes, about 40 minutes, about 50 minutes, about 1 hour, about 1.5 hours, or about 2 hours). In some instances, the permeabilization step is performed for about 40 minutes. In some embodiments, the permeabilization parameters are varied such that the optimal permeabilization conditions for a particular tissue type or sample can be determined for optimal tissue nucleic acid capture by the capture probe on the substrate.


(e) Removing the Hydrophobic Seal

Provided herein are methods where the sealant is removed from the biological sample and the analytes corresponding to the region that was sealed prior to removal of the sealant can be analyzed (e.g., the sequence of the analyte (e.g., mRNA) can be determined). In such cases, the method includes removing the sealant from the biological samples (e.g., the second region); contacting the biological sample with a plurality of capture probes, where a capture probe of the plurality of capture probes comprises a spatial barcode and a capture domain, thereby allowing the analyte from the second region to bind to the capture domain of the capture probe from the substrate. In some instances, the sequence of the analytes from the second region (i.e., the analytes corresponding to region from which the sealant was removed) can be determined. In such cases, the method further includes determining (i) all or a portion of a sequence corresponding to the analyte from the second region specifically bound to the capture domain of a capture probe of the substrate or a complement thereof, and (ii) the sequence corresponding to the spatial barcode of the capture probe of the substrate or a complement thereof, and using the determined sequences of (i) and (ii) to determine the abundance or location of the analyte from the second region in the biological sample.


In some embodiments, removing the sealant from the biological sample includes, without limitation, lifting, peeling, dissolving, liquefying, or decrosslinking the sealant from the biological sample. In some embodiments, removing the sealant from the biological sample includes contacting the biological sample with a removing agent selected from the group consisting of: a solvent, an acid, a base, and a buffer, or any combinations thereof. In some embodiments, the removing agent comprises phosphate buffered saline (PBS). In some embodiments, removing comprises contacting the sealant with PBS.


In some embodiments, the method includes contacting the sealant with a removing agent for about 15 minutes to about 4 hours (e.g., about 15 minutes to about 3.5 hours, about 15 minutes to about 3 hours, about 15 minutes to about 2.5 hours, about 15 minutes to about 2 hours, about 15 minutes to about 1.5 hours, about 15 minutes to about 1.0 hour, about 15 minutes to about 45 minutes, about 15 minutes to about 30 minutes, about 30 minutes to about 4 hours, about 30 minutes to about 3.5 hours, about 30 minutes to about 3 hours, about 30 minutes to about 2.5 hours, about 30 minutes to about 2 hours, about 30 minutes to about 1.5 hours, about 30 minutes to about 1.0 hour, about 30 minutes to about 45 minutes, about 45 minutes to about 4 hours, about 45 minutes to about 3.5 hours, about 45 minutes to about 3 hours, about 45 minutes to about 2.5 hours, about 45 minutes to about 2 hours, about 45 minutes to about 1.5 hours, about 45 minutes to about 1.0 hour, about 1.0 hour to about 4 hours, about 1.0 hour to about 3.5 hours, about 1.0 hour to about 3 hours, about 1 hour to about 2.5 hours, about 1 hour to about 2 hours, about 1 hour to about 1.5 hours, about 1.5 hours to about 4 hours, about 1.5 hours to about 3.5 hours, about 1.5 hours to about 3 hours, about 1.5 hours to about 2.5 hours, about 1.5 hours to about 2 hours, about 2 hours to about 4 hours, about 2.0 hours to about 3.5 hours, about 2.0 hours to about 3 hours, about 2.0 hours to about 2.5 hours, about 2.5 hours to about 4 hours, about 2.5 hours to about 3.5 hours, about 2.5 hours to about 3.0 hour, about 3.0 hours to about 4 hours, about 3.0 hours to about 3.5 hours, or about 3.5 hours to about 4 hours). In some embodiments, the methods include contacting the sealant with a removing agent for about 1.0 hours.


After removal, steps of permeabilizing the biological sample in the second regions and capturing analytes in the second region are performed using the permeabilizing and capturing methods disclosed herein.


(f) Biological Samples

Methods disclosed herein can be performed on any type of sample. In some embodiments, the sample is a fresh tissue. In some embodiments, the sample is a frozen sample. In some embodiments, the sample was previously frozen. In some embodiments, the sample is a formalin-fixed, paraffin embedded (FFPE) sample. In some embodiments, where the tissue sample is the FFPE tissue sample, and the tissue sample is decrosslinked.


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 instances, the cancer is breast cancer. In some instances, the breast cancer is triple positive breast cancer (TPBC). In some instances, the breast cancer is triple negative breast cancer (TNBC).


In some instances, the cancer is colorectal cancer. In some instances, the cancer is ovarian cancer. In certain embodiments, the cancer is squamous cell cancer, small-cell lung cancer, non-small cell lung cancer, gastrointestinal cancer, Hodgkin's or non-Hodgkin's lymphoma, pancreatic cancer, glioblastoma, glioma, cervical cancer, ovarian cancer, liver cancer, bladder cancer, breast cancer, colon cancer, colorectal cancer, endometrial carcinoma, myeloma, salivary gland carcinoma, kidney cancer, basal cell carcinoma, melanoma, prostate cancer, vulval cancer, thyroid cancer, testicular cancer, esophageal cancer, or a type of head or neck cancer. In certain embodiments, the cancer treated is desmoplastic melanoma, inflammatory breast cancer, thymoma, rectal cancer, anal cancer, or surgically treatable or non-surgically treatable brain stem glioma. In some embodiments, the subject is a human.


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). The methods disclosed herein are compatible with H&E 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, when location of a cell nucleus is needed. Staining the sample also allows one to determine regions of interest. For instance, after an H&E stain or protein detection (e.g., IF or IHC) stain, one can detect regions of the sample having increased immune infiltrates or having tumor cells. Then, one can add a sealant to regions that are not of interest.


In some embodiments, a biological sample (e.g. tissue 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 using 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 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.


In some embodiments, the biological sample was previously stained. In some embodiments, the biological sample was previously stained using immunofluorescence or immunohistochemistry. In some embodiments, the biological sample was previously stained using hematoxylin and eosin.


(g) Determining the Sequence of an Analyte

After an analyte from the biological sample 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, the barcoded constructs include an analyte from the first region of interest. In some embodiments, the barcoded constructs include an analyte from the first region of interest, an analyte from the second region, or combinations thereof.


In some embodiments, the methods provided herein include determining, from one or more first regions of interest, (i) all or a portion of a sequence corresponding to the analyte bound to the capture domain or a complement thereof, and (ii) the spatial barcode or a complement thereof, and using the determined sequences of (i) and (ii) to determine the abundance or location of the analyte in the first region of interest in the biological sample.


In some embodiments, the methods provided herein include determining, from a second region, (i) all or a portion of a sequence corresponding to the analyte bound to the capture domain or a complement thereof, and (ii) the spatial barcode or a complement thereof, and using the determined sequences of (i) and (ii) to determine the abundance or location of the analyte in the second region biological sample.


In some embodiments, the methods include determining all or a portion of a sequence from a second region wherein the second region includes a hydrophobic seal. In such cases, the methods includes: removing the sealant from the second region; contacting the biological sample with a substrate comprising a plurality of capture probes, wherein a capture probe of the plurality of capture probes from the substrate comprises a spatial barcode and a capture domain, thereby allowing the analyte from the second region to bind to the capture domain of the capture probe from the substrate. This method also includes determining (i) all or a portion of a sequence corresponding to the analyte from the second region specifically bound to the capture domain of a capture probe of the substrate or a complement thereof, and (ii) the spatial barcode of the capture probe of the substrate or a complement thereof, and using the determined sequences of (i) and (ii) to determine the abundance or location of the analyte from the second region in the biological sample.


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 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 prove 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, 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) 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; and (d) analyzing the captured biological analyte, thereby spatially detecting the biological analyte; where the biological sample is not removed from the substrate.


In some embodiments, provided herein are methods for spatially detecting a biological analyte of interest from a biological sample that include: (a) staining and imaging a biological sample on a substrate; (b) providing a solution comprising a permeabilization reagent to the biological sample on the substrate; (c) contacting the biological sample with an array on a substrate, wherein the array comprises one or more capture probe pluralities thereby allowing the one or more pluralities of capture probes to capture the biological analyte of interest; and (d) analyzing the captured biological analyte, thereby spatially detecting the biological analyte of interest; 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 a uracil-DNA glycosylase, apurinic/apyrimidinic (AP) endonuclease (APE1), U 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. 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 a capture probe, 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 capture probe 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, generating an analyte library, where the analyte library includes the spatial barcodes from the adjacent capture probes. In some embodiments, the capture probe is extended using one or more DNA polymerases.


In some embodiments, a capture domain of a capture probe includes a primer for producing the 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 9° N) DNA ligase (9° N™ 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 95, 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 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 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 ligated probe and 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) 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 (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. The additional sequences are directed toward Illumina sequencing instruments or sequencing instruments that utilize those sequences; however 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.


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 barcoded analyte (e.g., the ligation product). 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 singleplex 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, and Polony sequencing), ligation methods, and microarray methods.


Provided herein are methods that enable greater sequencing depth for a biological sample wherein at least a portion of the biological sample is contacted with a sealant. For example, the methods result in greater capture efficiency and potentially greater sequencing depth for the biological sample as compared to the capture efficiency and subsequent depth of sequencing for a biological sample not contacted with a sealant.


Some embodiments of these methods result in about a 1% increase to about a 100% increase (e.g., about a 1% increase to about a 90% increase, about a 10% increase to about a 80% increase, about a 20% increase to about a 70% increase, about a 30% increase to about a 60% increase, or about a 40% increase to about a 50% increase) in capture efficiency (e.g., as compared to capture efficiency for a biological sample not contacted with a sealant).


Provided herein are methods that result in a greater number of reads per spot for the biological sample as compared to the number of read per spot for a biological sample not contacted with a sealant.


Some embodiments of these methods result in about a 1% increase to about a 100% increase (e.g., about a 1% increase to about a 90% increase, about a 10% increase to about a 80% increase, about a 20% increase to about a 70% increase, about a 30% increase to about a 60% increase, or about a 40% increase to about a 50% increase) in the number of reads per spot (e.g., as compared to the number of reads per spot for a biological sample not contacted with a sealant).


Provided herein are methods that results in a greater number of unique molecule identifier (UMI) counts per spot for the biological sample as compared to the number of UMI counts per spot for a biological sample not contacted with a sealant.


Some embodiments of these methods result in about a 1% increase to about a 100% increase (e.g., about a 1% increase to about a 90% increase, about a 10% increase to about a 80% increase, about a 20% increase to about a 70% increase, about a 30% increase to about a 60% increase, or about a 40% increase to about a 50% increase) in the number of UMI counts per spot for the biological samples (e.g., as compared to the number of UMI counts per spot for a biological sample not contacted with a sealant).


(h) Kits

Also provided herein are kits that can be used to perform any of the methods described herein. In some embodiments, a kit includes: (a) a sealant; (b) a substrate comprising a plurality of capture probes, wherein the capture probes comprises a spatial barcode and a capture domain; and (c) instructions for performing any of the methods described herein.


Another non-limiting example of a kit used to perform any of the methods described herein includes: (a) a sealant; (b) a substrate comprising a plurality of capture probes, wherein the capture probes comprises a spatial barcode and a capture domain; (c) a removing agent; and (d) instructions for performing any of the methods described herein.


In some embodiments of any of the kits described herein, the sealant comprises a coverslip sealant. In some embodiments of any of the kits described herein, the coverslip sealant is Covergrip™ Coverslip Sealant (Biotium). In some embodiments, the sealant is nail polish. In some embodiments of any of the kits described herein, the kit also includes a sealant applicator. In some embodiments of any of the kits described herein, the kit also includes a removing agent. In some embodiments of any of the kits described herein, the removing agent is PBS.


EXAMPLES
Example 1. Spatial Analysis of a Region of Interest Using a Sealant

This example provides an exemplary method for analyzing an analyte in a biological sample from a region of interest. The example demonstrates that using a sealant over an area of a biological sample results in an increased number of reads in areas where no sealant was used on that biological sample, relative to a sample where no sealant was used on any area of the biological sample. Thus, by using a sealant, one can generate increased reads in a region of interest (e.g., in a region without a sealant).


The sample was preserved by FFPE processing. Before addition of the sealant, the biological samples were deparaffinized and stained per established protocols. For example, FFPE tissue samples were prewarmed in a water bath (40° C.), sectioned (10 μm), dried at 42° C. for several hours and placed in a desiccator at room temperature overnight. The dry, sectioned tissues were deparaffinized by baking at 60° C., moved through a series of xylene and EtOH washes, rinsed in water several times. Following rinsing, the deparaffinized tissues were stained with hematoxylin per established protocols. The stained tissues were imaged.


The tissues were decrosslinked to remove formaldehyde crosslinks within the sample thereby making the analytes accessible for capture. Briefly, the tissue samples were incubated with an HCl solution for 1 minute, repeated twice for a total of 3 minutes. Following HCl incubations, the tissue sections were incubated at 70° C. for 1 hour in TE pH 9.0. TE was removed and the tissues were incubation in 1×PBS-Tween for 15 minutes.


After contacting the biological sample located on the substrate that includes capture probes, a region where the analytes are prevented from interacting with a capture probe was contacted with a sealant (e.g., Covergrip™ Coverslip Sealant) (see FIG. 6). The black lines 601 and 602 surround the region in each biological sample to which the sealant was applied. The region not covered by a sealant (i.e., the right side of each image) is considered the first region of interest, and the region with the sealant is considered a second region. The sealant dried for one hour at room temperature in order to form a hydrophobic seal over the second region.


The biological sample was permeabilized to release the analytes from the region of interest. In particular, after 30 minutes, the tissues were washed and permeabilized by adding either Proteinase K or Pepsin, incubated at 37° C. for at least 5 minutes and washed to remove the protease.


The analytes from the region of interest hybridized to the capture probes. The sealant prevented permeabilization of the second region, thereby blocking the release of the analytes. It is appreciated that the sealant also directly prevented the release of the analytes from the second region in addition to preventing permeabilization.


The analytes from the region of interest (e.g., the first region of interest not covered by the sealant) that hybridized to the capture probes were used as a template in a nucleic acid extension reaction that generated extended capture probes. The extended capture probes were amplified and sequenced according to any one of the methods described herein. Subsequent sequence analysis was used to determine spatial information regarding the analyte captured from the tissue sample.


As shown in the gene expression heat maps in FIG. 7, the sealant prevented interaction between analytes from the second region with capture domains of the capture probe. See FIG. 7, right “Sealant” images. However, without a sealant (FIG. 7, left “Control” images), analytes were captured from the entire sample. Further, both pepsin and proteinase K were used to permeabilize the sample, and based on the images in FIG. 7, each permeabilization reagent (1) detected analytes in the first region of interest, and (2) did not permeabilize the sample in the second region. This was evident by the very low UMI counts (0-500 counts per spot). In this experiment, a serial section of the same tissue sample was used as control.


Table 1 reports the outcome of the experiments comparing conditions on control tissue (e.g., the whole tissue was assayed) versus tissues where a sealant was applied on a region of the tissue (e.g., a region of interest, and not the whole tissue, was assayed). Comparative results demonstrate the increase in resolution of the regions of interest from the tissues where a portion of the tissue was sealed versus the whole tissue where there was no sealant.









TABLE 1







Sensitivity comparison between controls and sealant samples.

















Median UMI




Median
Median genes
Median UMI
counts per spot




genes per
per spot (50k
counts per
(50k mapped




spot (50k
mapped spot-
spot (50k
spot-reads per


Condition
Perm
rrps)
reads per spot)
rrps)
spot)















sealant
Pepsin
5570
5998
23152
27057


control
Pepsin
4269
5833
14208
25803


sealant
ProK
6171
6601
30455
35484


control
ProK
4911
6478
19216
34658









Table 2 shows sequencing metrics for a tissue region of interest (e.g., a portion of the tissue was sealed with a sealant) compared to a whole tissue (e.g., the whole tissue was assayed). The results of these experiments report a higher sequencing saturation for sealant samples as compared to control samples when matched for spots corresponding to tissues where a sealant was applied and a region of interest was assayed versus a tissue where there was no sealant applied and the whole tissue was assayed.









TABLE 2







Sequencing statistics for the control and sealant samples.











Condition
sealant
control
sealant
control





Perm
pepsin
pepsin
proK
proK


No. spots covered by
1241
1245
1209
1254


tissue


Sequencing saturation
0.72
0.57
0.62
0.43


Mean reads/spot
199243
188710
187008
165290


Valid barcodes
98%
98%
98%
98%


Reads mapped
85%
84%
88%
87%


confidently to


transcriptome


Fraction reads in spot
93%
47%
93%
53%


Median gene/spot (50k
5570
4269
6171
4911


rrps)


Median gene/spot (50k
5998
5833
6601
6478


mapped spot-reads/spot)


Median UMI/spot (50k
23152
14208
30455
19216


rrps)


Median UMI/spot (50k
27057
25803
35484
34658


mapped spot-reads/spot)









Collectively, the results demonstrate the sealant does not have a negative effect on workflow and actually results in greater number of reads per spot, greater fraction of library complexity being captured during sequencing and greater number of unique molecular identifiers (UMIs) per spot for the region of interest not covered by a sealant as compared a biological sample where a whole tissue was assayed and not just a region of interest.


Example 2. Spatial Analysis of Spleen and Liver Biological Samples Using a Sealant

This example provides an exemplary method for analyzing an analyte in a biological sample (i.e., spleen and liver samples) at a region of interest where regions not of interest are sealed off using a sealant.


Liver and spleen samples were preserved by FFPE processing. Before addition of the sealant, the biological samples were deparaffinized and stained per established protocols. For example, FFPE tissue samples were prewarmed in a water bath (40° C.), sectioned (10 μm), dried at 42° C. for several hours, and placed in a desiccator at room temperature overnight. The dry, sectioned tissues were deparaffinized by baking at 60° C., moved through a series of xylene and EtOH washes, rinsed in water several times. Following rinsing, the deparaffinized tissues were stained with hematoxylin per established protocols. The stained tissues were imaged.


The tissues were decrosslinked to remove formaldehyde crosslinks within the sample thereby making the analytes accessible for capture. Briefly, the tissue samples were incubated with an HCl solution for 1 minute, repeated twice for a total of 3 minutes. Following HCl incubations, the tissue sections were incubated at 70° C. for 1 hour in TE pH 9.0. TE was removed and the tissues were incubation in 1×PBS-Tween for 15 minutes.


An area on a substrate was identified as a region of interest. The area outside of the region of interest was covered with a sealant (i.e., COVERGRIP™ sealant or SALLY HANSEN™ BRAND nail polish). The COVERGRIP™ sealant or SALLY HANSEN™ nail polish were allowed to dry at room temperature for 30 minutes. The area outside of the region of interest can include part of the biological sample or no biological sample.


The liver and spleen tissue sections were permeabilized to release the analytes from the region of interest. In particular, after 30 minutes, the tissues were washed and permeabilized by adding either proteinase K or pepsin, incubated at 37° C. for at least 5 minutes and then washed to remove the proteinase K or pepsin.


The analytes from the biological sample(s) hybridized to the capture probes. The sealant prevented permeabilization of the area outside of the region of interest, thereby blocking the release of the analytes in that sealed region. The sealant also prevented the release of the analytes from the area outside of the region of interest in addition to preventing permeabilization.


The analytes from the biological sample(s) that hybridized to the capture probes were used as a template in a nucleic acid extension reaction that generated extended capture probes. The extended capture probes were amplified and sequenced according to any one of the methods described herein. Subsequent sequence analysis was used to determine spatial information regarding the analyte captured from the tissue sample region of interest. Control samples were also assayed, except there was no sealant applied to any part of the control tissue or slide.


Further comparisons were made between biological samples (e.g., tissue samples) that included the sealant covering an area outside of the biological sample and controls where no sealant was applied. FIG. 8 shows fraction of raw reads on target and unambiguously mapped (bottom panels), and fractions of spots under tissue (top panels) of liver (left panels) and spleen (right panels) tissue samples that were positioned on the substrate where an area outside and around the tissue sample (1) had no sealant applied and was unblocked (control), (2) an area around the tissue sample was blocked with cover grip (e.g., COVERGRIP™) sealant, and or (3) an area around the tissue sample was blocked with nail polish (e.g., SALLY HANSEN™). Each spot is representative of a where an area outside of the tissue sample (1) had no sealant applied and was unblocked (control), (2) an area around the tissue sample was blocked with cover grip (e.g., COVERGRIP™) sealant, or (3) an area around the tissue sample was blocked with nail polish (e.g., SALLY HANSEN™). FIG. 8 shows the fraction of raw reads on target and unambiguously mapping rate is slightly higher when the area outside of the tissue sample is blocked by the application of a sealant. The spot (bottom panel) marked with an asterisk indicates a liver sample where the nail polish sealant failed (e.g., came off the substrate). The right spot marked with asterisk (top panel) is a control spleen sample where the spleen moved during the assay to an area that was substantially off of the substrate.



FIG. 9 shows the fraction of reads in spots under the tissue (bottom panels), and fraction of targeted reads useable (top panels) of liver (left panels) and spleen (right panels) tissue samples were positioned on a substrate where an area outside of and around the tissue sample (1) had no sealant applied and was unblocked (control), (2) an area around the tissue sample was blocked with cover grip (e.g., COVERGRIP™) sealant, or (3) an area around the tissue sample was blocked with nail polish (e.g., SALLY HANSEN™). FIG. 9 shows an increase in fraction of target reads, particularly in the spleen samples, when the area outside of the tissue sample is blocked thus preventing interaction between a capture domain of a capture probe and an analyte from the tissue sample. The fraction of target reads in spots under the tissue substantially match the fraction of targeted reads usable for each of the samples and sample conditions. Fraction of reads in about 10% greater for the tissue sample when the area around the tissue sample is blocked with a sealant.



FIG. 10 shows median panel genes detected at 10,000 panel reads per spot (bottom panels) and median panel reads detected at 2,500 panel reads per spot (top panels) of liver (left panels) and spleen (right panels) tissue samples that were positioned on a substrate where an area outside of and around the tissue sample 1) had no sealant applied and was unblocked (control), 2) an area around the tissue sample was blocked with cover grip (e.g., COVERGRIP™) sealant, or 3) an area around the tissue sample was blocked with nail polish (e.g., SALLY HANSEN™). FIG. 10 shows that there was not a significant difference in gene detection from the tissue samples whether the area outside of the sample was blocked or unblocked. This result demonstrates that the sealant(s) do not have a negative effect on the workflow.



FIG. 11A shows median panel UMI counts at 10,000 panel reads per spot (bottom panels) and median panel UMI counts at 5,000 panel reads per spot for liver (left panels) and spleen (right panels) tissue samples that were positioned on a substrate where an area outside of the tissue sample (1) had no sealant applied and was unblocked (control), (2) an area around the tissue sample was blocked with cover grip (e.g., COVERGRIP™) sealant, or (3) an area around the tissue sample was blocked with nail polish (e.g., SALLY HANSEN™) FIG. 11B shows median panel UMI counts at 10,000 raw reads per spot (bottom panels) and median panel UMI counts at 1,000 raw reads per spot for liver (left panels) and spleen (right panels) tissue samples that were positioned on a substrate where an area outside of the tissue sample (1) had no sealant applied and was unblocked (control), (2) an area around the tissue sample was blocked with cover grip (e.g., COVERGRIP™) sealant, and or (3) an area around the tissue sample was blocked with nail polish (e.g., SALLY HANSEN™). There was no substantial difference observed in UMI counts either for panel or raw reads for the unblocked control compared to blocked tissue samples, demonstrating further that the region located under the tissue sample was unaffected by the sealant. FIGS. 11A and 11B further demonstrated that the use of sealant(s) do not have a negative effect on the tissue sample or the workflow.



FIG. 12A shows panel cDNA PCR duplication of 5,000 panel reads per spot (bottom panels) and panel cDNA PCR duplication of 1,000 panel reads per spot (top panels) for liver (left panels) and spleen (right panels) tissue samples that were positioned on a substrate where an area outside of the tissue sample (1) had no sealant applied and was unblocked (control), (2) an area around the tissue sample was blocked with cover grip (e.g., COVERGRIP™) sealant, or (3) an area around the tissue sample was blocked with nail polish (e.g., SALLY HANSEN™). FIG. 12B shows panel cDNA PCR duplication of 5,000 raw reads per spot (bottom panels) and panel cDNA PCR duplication of 2,500 raw reads per spot (top panels) for liver (left panels) and spleen (right panels) tissue samples that were positioned on a substrate where an area outside of the tissue sample (1) had no sealant applied and was unblocked (control), (2) an area around the tissue sample was blocked with cover grip (e.g., COVERGRIP™) sealant, or (3) an area around the tissue sample was blocked with nail polish (e.g., SALLY HANSEN™). Comparatively, a decreased level of saturation was observed in the liver sample as compared to the spleen sample. FIGS. 12A and 12B demonstrate that despite roughly equivalent UMI counts for the controls comparative to the liver and spleen tissue samples, sequencing saturation is greater when the areas surrounding the tissue samples are blocked with a sealant.



FIG. 13A shows UMI counts of spleen and liver tissue samples where an area outside of the tissue sample (1) had no sealant applied and was unblocked (control), (2) an area around the tissue sample was blocked with cover grip (e.g., COVERGRIP™) sealant, or (3) an area around the tissue sample was blocked with nail polish (e.g., SALLY HANSEN™) The top spleen control shows that one of the tissue samples moved off of the substrate during the assay (also discussed in connection with FIG. 8). The nail polish sealant of one of the ‘liver-nail polish’ tissue samples failed (also discussed in connection with FIG. 8). FIG. 13A demonstrates non-specific binding of target analytes to capture probes outside of the tissue sample in the control samples. Conversely, FIG. 13A shows decreased non-specific binding of target analytes to capture probes outside of the tissue sample in the samples where a sealant was applied around the tissue area, regardless of sealant used. As shown in FIG. 13A, red patches indicate more UMI counts and the blue patches indicates fewer UMI counts. The samples where cover grip was applied as a sealant performed slightly better than the samples where nail polish was applied, however both sealants prevented the non-specific binding of target analytes to capture probes outside of the location under the tissue sample.



FIG. 13B shows pictures of mRNA transcript clustering for spleen and liver tissue samples where, (1) no sealant was applied around the tissue sample (control), (2) the area around the tissue sample was blocked with cover grip (e.g., COVERGRIP™) sealant, or (3) the area around the tissue sample blocked with nail polish (e.g., SALLY HANSEN™). The clustering is comparable between the controls and the blocked samples, thereby supporting previous results demonstrating that the sealant(s) do not have a negative effect on workflow.


The experimental results demonstrate a sealant does not have a negative effect on the workflow for spatially capturing analytes from a biological sample. Further, that the cover grip sealant appeared to enhance assay resolution more than the nail polish sealant and the cover grip provided more consistent results. Blocking the surface of the substrate in areas outside or around the tissue sample improves sensitivity for analyte detection under the tissue sample when raw sequencing reads are observed. As such, it was determined that blocking the substrate in areas outside of the tissue sample can improve efficiency, save time, and money and can potentially impact sequencing depth for the spots under the tissue sample. The results were consistent with experimental results when a region of interest was defined and assayed after the area around that region of interest, a second region of the tissue sample and/or substrate was blocked. This assay is particularly useful for application to small samples as there is a larger area outside of the tissue sample that is uncovered by the smaller samples. Thus, the sealants described herein provide an improvement in resource conservation and a reduction and/or elimination of non-specific binding of analytes to unintended portions of the array during the assay, including regions of non-interest within a tissue sample.


The experimental results show that sealants can be used in an assay in an ad hoc manner without a negative impact on the workflow for spatially capturing analytes from a biological sample. Sealants can be applied to regions of non-interest outside of a tissue sample positioned on a substrate, and/or regions of non-interest within a tissue sample. The application of a sealant application to regions of non-interest on the substrate and/or the tissue can provide a customizable advantage without increasing a burden to the workflow.


OTHER EMBODIMENTS

It is to be understood that while the invention has been described in conjunction with the detailed description thereof, the foregoing description is intended to illustrate and not limit the scope of the invention, which is defined by the scope of the appended claims. Other aspects, advantages, and modifications are within the scope of the following claims.

Claims
  • 1. A method for capturing an analyte from a region of interest of a tissue sample, the method comprising: (a) contacting the tissue sample with an array such that the tissue sample is aligned with the array, wherein the array comprises a plurality of capture probes, wherein each capture probe of the plurality of capture probes comprises a spatial barcode and a capture domain,wherein the tissue sample comprises: (i) the region of interest, wherein the region of interest is aligned with a first capture probe of the plurality of capture probes; and(ii) a region of non-interest, wherein the region of non-interest is aligned with a second capture probe of the plurality of capture probes;(b) selectively contacting the region of non-interest of the tissue sample with a liquid coverslip sealant, wherein the liquid coverslip sealant prevents permeabilization of the region of non-interest and hybridization of an analyte from the region of non-interest to the second capture probe of the plurality of capture probes; and(c) hybridizing an analyte from the region of interest to the capture domain of the first capture probe, thereby capturing the analyte from the region of interest of the tissue sample.
  • 2. The method of claim 1, further comprising determining (i) all or a portion of a sequence corresponding to the analyte hybridized to the capture domain of the first capture probe or a complement thereof, and (ii) a sequence corresponding to the spatial barcode of the first capture probe or a complement thereof, and using the determined sequences of (i) and (ii) to determine abundance and/or location of the analyte from the region of interest of the tissue sample.
  • 3. The method of claim 1, further comprising identifying the region of non-interest of the tissue sample by staining the tissue sample.
  • 4. The method of claim 3, wherein the tissue sample is stained using immunofluorescence, immunohistochemistry, hematoxylin, or eosin.
  • 5. The method of claim 1, further comprising allowing the liquid coverslip sealant to form a hydrophobic seal.
  • 6. The method of claim 5, wherein the hydrophobic seal is formed in about 15 minutes to about 4 hours.
  • 7. The method of claim 1, further comprising contacting the tissue sample with a permeabilization agent, wherein the permeabilization agent is selected from the group consisting of an organic solvent, a detergent, an enzyme, and any combination thereof.
  • 8. The method of claim 1, further comprising removing the liquid coverslip sealant from the tissue sample.
  • 9. The method of claim 1, wherein the method results in greater capture efficiency of analytes from regions of interest from the tissue sample compared to capture efficiency of analytes from a tissue sample that is not contacted with the liquid coverslip sealant.
  • 10. The method of claim 7, wherein the permeabilization agent comprises pepsin or proteinase K.
  • 11. The method of claim 8, wherein the removing comprises contacting the tissue sample with a removing agent selected from the group consisting of a solvent, an acid, a base, a buffer, and any combination thereof.
  • 12. The method of claim 11, wherein the removing agent comprises phosphate buffered saline.
  • 13. The method of claim 1, wherein the tissue sample is a tissue section.
  • 14. The method of claim 1, wherein the tissue sample is a fresh tissue sample or a frozen tissue sample.
  • 15. The method of claim 1, wherein the tissue sample is a fixed tissue sample.
  • 16. The method of claim 1, wherein each capture probe of the plurality of capture probes further comprises a cleavage domain, a functional sequence, a unique molecular identifier, or any combination thereof.
  • 17. The method of claim 2, further comprising sequencing (i) all or the portion of the sequence corresponding to the analyte hybridized to the capture domain of the first capture probe or the complement thereof, and (ii) the sequence corresponding to the spatial barcode of the first capture probe or the complement thereof.
  • 18. The method of claim 1, wherein the contacting in (b) comprises applying the liquid coverslip sealant using a brush tip, a dropper, a pipette, a microfluidic device, or a liquid handling instrument.
CROSS-REFERENCE TO RELATED APPLICATIONS

Pursuant to 35 U.S.C. § 119(e), this application is a continuation of International Application PCT/US2022/028071, with an international filing date of May 6, 2022, which claims the benefit to U.S. Provisional Patent Application No. 63/185,035, filed May 6, 2021. The contents of this priority application are incorporated herein by reference in their entireties.

US Referenced Citations (949)
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 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
11519138 Meier 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
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
12249085 Tentori et al. Mar 2025 B2
12265079 Bent Apr 2025 B1
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 Nov 2009 A1
20090286249 Becker 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 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 et al. Sep 2016 A1
20160289740 Fu 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
20170283860 Kool et al. Apr 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
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
20190390252 Yeung 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
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 et al. 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
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
20230212656 Chow et al. 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
20240002931 Bava Jan 2024 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
20250066762 Man et al. Feb 2025 A1
20250066770 Costa Feb 2025 A1
20250073719 Cox et al. Mar 2025 A1
20250075261 Kim Mar 2025 A1
20250101501 Chee Mar 2025 A1
20250101502 Chee Mar 2025 A1
20250101504 Nagendran et al. Mar 2025 A1
Foreign Referenced Citations (281)
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
1929039 Jun 2008 EP
2002017 Dec 2008 EP
2130913 Dec 2009 EP
2292788 Mar 2011 EP
2302070 Mar 2011 EP
2580351 Apr 2013 EP
2881465 Jun 2015 EP
3013984 May 2016 EP
3207134 Jul 2019 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 1998044151 Oct 1998 WO
WO 2000017390 Mar 2000 WO
WO 2000063437 Oct 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 2006137733 Dec 2006 WO
WO 2007037678 Apr 2007 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 2008093098 Aug 2008 WO
WO 2009032167 Mar 2009 WO
WO 2009036525 Mar 2009 WO
WO-2009086487 Jul 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 2010127186 Nov 2010 WO
WO 2011008502 Jan 2011 WO
WO 2011062933 May 2011 WO
WO 2011068088 Jun 2011 WO
WO 2011127006 Oct 2011 WO
WO 2011155833 Dec 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 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 2016162309 Oct 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 2018136397 Jul 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-2019104337 May 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 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-2020047002 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 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
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 2023034739 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 2023130019 Jul 2023 WO
WO 2023150098 Aug 2023 WO
WO 2023150163 Aug 2023 WO
WO 2023150171 Aug 2023 WO
WO 2023150763 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
WO 2025043076 Feb 2025 WO
Non-Patent Literature Citations (408)
Entry
Appella, “Non-natural nucleic acids for synthetic biology,” Current Opinion in Chemical Biology, Dec. 2009, 13(5-6): 687-696.
Bunt et al., “FRET from single to multiplexed signaling events,” Biophys Rev. Apr. 2017, 9(2): 119-129.
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.
Ma et al., “Isothermal amplification method for next-generation sequencing,” PNAS, Aug. 12, 2013, 110(35):14320-14323.
Marx, “Method of the Year: spatially resolved transcriptomics,” Nature Methods, 2021, 18(1):9-14.
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.
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.
U.S. Appl. No. 16/353,937, filed Mar. 14, 2019, Frisen et al.
U.S. Appl. No. 17/707,189, filed Mar. 29, 2022, Chell et al.
U.S. Appl. No. 63/033,348, filed Jun. 2, 2020, Bent.
[No. Author Listed], “10x Genomics Begins Shipments of Visium Spatial Gene Expression Solution,” 10x Genomics, Nov. 26, 2019, 2 pages.
[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/5UJrN0CH17rEk0UXwd19It/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/5UJrN0CH17rEk0UXwd19It/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 GâT 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.
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.
Bell, “A simple way to treat PCR products prior to sequencing using ExoSAP-IT,” Biotechniques, 2008, 44(6):834, 1 page.
Bentley et al., “Accurate whole human genome sequencing using reversible terminator chemistry,” Nature, 2008, 456(7218):53-59.
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.
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.
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.
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.
Bychkov et al., “Deep learning based tissue analysis predicts outcome in colorectal cancer,” Scientific Reports, Feb. 21, 2018, 8:3395, 12 pages.
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., “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.
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., “CoolMPSTM: 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.
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.
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.
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.
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-ZeroR 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-Omnics 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.
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.
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.
Olivier, “The Invader assay for SNP genotyping,” Mutat. Res., Jun. 2005, 573(1-2):103-110.
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.
PCT International Preliminary Report on Patentability in International Appln. No. PCT/EP2016/057355, dated Oct. 10, 2017, 7 pages.
PCT International Preliminary Report on Patentability in International Appln. No. PCT/US2019/048425, dated Mar. 2, 2021, 9 pages.
PCT International Preliminary Report on Patentability in International Appln. No. PCT/US2019/048434, dated Mar. 2, 2021, 15 pages.
PCT International Preliminary Report on Patentability in International Appln. No. PCT/US2021/018795, dated Sep. 1, 2022, 10 pages.
PCT International Preliminary Report on Patentability in International Appln. No. PCT/US2021/018816, dated Sep. 1, 2022, 9 pages.
PCT International Search Report and Written Opinion in International Appln. No. PCT/US2020/066681, dated Apr. 14, 2021, 17 pages.
PCT International Search Report and Written Opinion in International Appln. No. PCT/US2021/012659, dated Apr. 16, 2021, 15 pages.
PCT International Search Report and Written Opinion in International Appln. No. PCT/US2022/028071, dated Aug. 25, 2022, 13 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 gen,” 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.
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.
U.S. Appl. No. 61/267,363, filed Dec. 7, 2009, 33 pages.
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.
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.
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.
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.
Tomita et al., “Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides,” JAMA Network Open. Nov. 6, 2019, 2(11):e1914645, 13 pages.
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.
Tsai et al., “Deep Learning Techniques for the Classification of Colorectal Cancer Tissue,” Electronics Jul. 12, 2021, 10(14):1662, 26 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 IncRNA 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.
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 probest,” 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.
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.
Choi et al., “Multiplexed detection of mRNA using porosity-tuned hydrogel microparticles,” Analytical chemistry, Sep. 28, 2012, 84(21):9370-9378.
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.
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.
Sun et al., “Statistical Analysis of Spatial Expression Pattern for Spatially Resolved Transcriptomic Studies,” Nature Methods, Jan. 27, 2020, 17(2): 193-200.
Svensson et al., “SpatialDE: identification of spatially variable genes,” Nature Methods, May 2018, 15:343-346, 15 pages.
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.
Belton et al., “Hi-C: A comprehensive technique to capture the conformation of genomes,” Methods, Nov. 2012, 58(3):268-276, 16 pages.
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.
Fan et al., “Illumina Universal Bead Arrays,” Methods in Enzymology, 2006, 410:57-73.
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.
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.
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.
Oksuz et al., “Systematic evaluation of chromosome conformation capture assays,” Nature Methods, Sep. 2021, 18:1046-1055.
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.
Schmidl et al., “ChIPmentation: fast, robust, low-input ChIP-seq for histones and transcription factors,” Nature Methods, Oct. 2015, 12:963-965.
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.
Chen et al. “Arrayed profiling of multiple glycans on whole living cell surfaces.” Analytical chemistry, Oct. 15, 2013, 85(22):11153-11158.
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.
10xGenomics.com, [online], “Visium Spatial Gene Expression Reagent Kits—Tissue Optimization—User Guide,” Feb. 2022, retrieved on Mar. 29, 2024, retrieved from URL<https://cdn.10xgenomics.com/image/upload/v1660261286/support-documents/CG000238_VisiumSpatialTissueOptimizationUserGuide_RevE.pdf>, 46 pages.
PCT International Preliminary Report on Patentability in International Appln. No. PCT/US2022/028071, dated Nov. 16, 2023, 7 pages.
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.
Kuhn et al., “A novel, high-performance random array platform for quantitative gene expression profiling,” Genome Res, 2004, 14:2347-2356.
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.
Related Publications (1)
Number Date Country
20230069046 A1 Mar 2023 US
Provisional Applications (1)
Number Date Country
63185035 May 2021 US
Continuations (1)
Number Date Country
Parent PCT/US2022/028071 May 2022 WO
Child 17971174 US