Patent Grant
11680260
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). Thus, approaches have been developed to facilitate the global analysis of analytes while retaining spatial context in the biological sample.
Spatial analysis of a nucleic acid analyte within a biological sample may require determining the sequence of the analyte or a complement thereof and the sequence of spatial barcode or a complement thereof that is associated with the location of the analyte within the biological sample. The biological sample may be placed on a solid support to improve specificity and efficiency when being analyzed for identification or characterization of an analyte, such as DNA or RNA, within the sample. Depending on the type and/or state of the biological sample, different approaches may be required to permit spatial analysis of an analyte with specificity and high sensitivity. Thus, there is a need for improved methods to allow for specific and sensitive spatial analysis of analytes in both a targeted and global manner.
The present disclosure features methods, compositions, devices, and systems for determining the location and abundance of an analyte in a biological sample. Determining the spatial location and abundance of analytes (e.g., proteins, DNA, or RNA) within a biological sample leads to better understanding of spatial heterogeneity in various contexts, such as disease models. Described herein are methods for capturing probes and/or barcodes to a capture domain. In some instances, the techniques disclosed herein facilitate downstream processing, such as sequencing of the probes and/or barcodes bound to a capture domain. Also described herein are methods for processing nucleic acids and/or other analytes in a biological sample while retaining spatial context. These methods can, for example, allow for the determination of the location and/or abundance of the target analyte in the biological sample.
In some examples, the methods, compositions, devices, and systems disclosed herein utilize RNA-templated ligation (RTL) for analyzing an analyte (e.g., RNA) in a biological sample. In some examples, RTL is used in combination with a “sandwich process,” wherein the analyte is transferred from a first substrate to a second substrate for further downstream processing. In some examples, analyte capture agents are used for analyzing an analyte (e.g., protein) in a biological sample. In some examples, the methods disclosed herein allow spatial analysis of two different types of analytes.
In some instances, disclosed herein is a method for processing a nucleic acid analyte in a biological sample mounted on a first substrate, the method comprising: (a) providing the biological sample, wherein the biological sample is a tissue sample that was previously frozen and then fixed in a fixative selected from acetone, methanol, or an acetone-methanol mixture; (b) hybridizing a first probe and a second probe to the nucleic acid analyte, wherein the first probe and the second probe each comprise a sequence that is substantially complementary to sequences of the nucleic acid analyte, and wherein the second probe comprises a capture probe binding domain; (c) coupling the first probe and the second probe, thereby generating a connected probe; (d) aligning the first substrate with a second substrate comprising an array, such that at least a portion of the biological sample is aligned with at least a portion of the array, wherein the array comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises: (i) a spatial barcode and (ii) a capture domain; (e) releasing the connected probe from the nucleic acid analyte when at least a portion of the biological sample is aligned with at least a portion of the array; and (f) hybridizing the connected probe to the capture domain of the capture probe.
In some instances, the fixative is methanol. In some instances, the first probe and the second probe hybridize to adjacent sequences of the nucleic acid analyte. In some instances, the first probe and the second probe hybridize to sequences that are at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, or more nucleotides away from one another.
In some instances, the method further includes (i) generating an extended first probe using a polymerase, wherein the extended first probe comprises a sequence complementary to a sequence between the sequence of the nucleic acid analyte hybridized to the first probe and the sequence of the nucleic acid analyte hybridized to the second probe; or (ii) an extended second probe using a polymerase, wherein the extended second probe comprises a sequence complementary to a sequence between the sequence hybridized to the first probe and the sequence hybridized to the second probe.
In some instances, the coupling the first probe and the second probe comprises ligating: the first probe and the extended second probe; or the extended first probe and the second probe. In some instances, the coupling the first probe and the second probe comprises ligating the first probe and the second probe via a ligase. In some instances, the ligase is selected from a Chlorella virus DNA ligase, a single-stranded DNA ligase, or a T4 DNA ligase.
In some instances, the capture probe binding domain comprises a sequence substantially complementary to the capture domain, and wherein the connected probe is hybridized to the capture domain of the capture probe via the capture probe binding domain. In some instances, the aligning comprises: mounting the first substrate on a first member of a support device, the first member configured to retain the first substrate; mounting the second substrate on a second member of the support device; applying a reagent medium to the first substrate and/or the second substrate; and operating an alignment mechanism of the support device to move the first member and/or the second member such that at least a portion of the biological sample is aligned with at least a portion of the array, and such that the portion of the biological sample and the portion of the array contact the reagent medium. In some instances, the alignment mechanism is coupled to the first member, the second member, or both the first member and the second member.
In some instances, the alignment mechanism comprises a linear actuator, optionally wherein: the linear actuator is configured to move the second member along an axis orthogonal to the plane or the first member and/or the second member, and/or the linear actuator is configured to move the first member along an axis orthogonal to the plane of the first member and/or the second member, and/or the linear actuator is configured to move the first member, the second member, or both the first member and the second member at a velocity of at least 0.1 mm/sec, and/or the linear actuator is configured to move the first member, the second member, or both the first member and the second member with an amount of force of at least 0.1 lbs.
In some instances, at least one of the first substrate and the second substrate further comprise a spacer disposed thereon, wherein when at least the portion of the biological sample is aligned with at least a portion of the array such that the portion of the biological sample and the portion of the array contact the reagent medium, the spacer is disposed between the first substrate and the second substrate and is configured to maintain the reagent medium within a chamber formed by the first substrate, the second substrate, and the spacer, and to maintain a separation distance between the first substrate and the second substrate, wherein the spacer is positioned to surround an area on the first substrate on which the biological sample is disposed and/or the array disposed on the second substrate, wherein the area of the first substrate, the spacer, and the second substrate at least partially encloses a volume comprising the biological sample.
In some instances, the releasing step (e) comprises contacting the biological sample with a reagent medium comprising a permeabilization agent and an agent for releasing the connected probe, thereby permeabilizing the biological sample and releasing the connected probe from the nucleic acid analyte.
In some instances, the agent for releasing the connected probe comprises an RNase. In some instances, the RNase is selected from RNase A, RNase C, RNase H, or RNase I. In some instances, the permeabilization agent comprises a protease selected from trypsin, pepsin, elastase, or proteinase K.
In some instances, the method further includes extending the connected probe using the capture probe as a template, thereby generating an extended connected probe. In some instances, the extended connected probe further comprises a sequence complementary to the spatial barcode and/or other components of the capture probe. In some instances, the method further includes determining (i) all or a part of the sequence of the connected probe, or a complement thereof, and (ii) the spatial barcode, or a complement thereof, and using the determined sequence of (i) and (ii) to determine a location of the nucleic acid analyte in the biological sample. In some instances, the method further includes determining (i) all or a part of the sequence of the extended connected probe, or a complement thereof, and (ii) the spatial barcode, or a complement thereof, and using the determined sequence of (i) and (ii) to determine a location of the nucleic acid analyte in the biological sample. In some instances, the determining comprises sequencing a polynucleotide comprising (i) all or a part of the sequence of the connected probe or extended connected probe, or a complement thereof, and (ii) the sequence of the spatial barcode, or a complement thereof. In some instances, the polynucleotide comprises the extended connected probe. In some instances, the polynucleotide is generated by amplifying (e.g., PCR) the connected probe. In some instances, the polynucleotide is generated by amplifying (e.g., via PCR) the extended connected probe.
In some instances, the capture probe comprises a poly(T) sequence, one or more functional domains, a unique molecular identifier (UMI), a cleavage domain, or combinations thereof. In some instances, the nucleic acid analyte is RNA. In some instances, the nucleic acid analyte is mRNA.
In some instances, the method also includes processing a different type of analyte in the biological sample. In some instances, the different type of analyte is a protein analyte, wherein the processing the different type of analyte comprises: before step (d), contacting the biological sample with a plurality of analyte capture agents, wherein an analyte capture agent of the plurality of analyte capture agents comprises i) an analyte binding moiety, and ii) a capture agent barcode domain, wherein the analyte binding moiety specifically binds to the different type of analyte, and wherein the capture agent barcode domain comprises an analyte binding moiety barcode that identifies the analyte binding moiety and a capture handle sequence; and hybridizing the capture handle sequence to the capture domain of the capture probe. In some instances, the method also includes determining (i) all or part of the sequence of the capture agent barcode domain; and (ii) the spatial barcode of the capture probe to which the capture agent barcode domain is hybridized, or a complement thereof, and using the determined sequence of (i) and (ii) to analyze the different type of analyte in the biological sample.
In some instances, the biological sample is fixed and stained prior to step (b). In some instances, the method further includes imaging and/or destaining the biological sample.
Also disclosed herein is a method for processing a nucleic acid analyte in a tissue sample, the method comprising: (a) providing the tissue sample mounted on a first substrate, wherein the tissue sample was previously frozen; (b) applying a fixative comprising methanol to the tissue sample, thereby fixing the tissue sample; (c) hybridizing a first probe and a second probe to the nucleic acid analyte, wherein the first probe and the second probe each comprise a sequence that is substantially complementary to sequences of the nucleic acid analyte, and wherein the second probe comprises a capture probe binding domain; (d) coupling the first probe and the second probe, thereby generating a connected probe; (e) aligning the first substrate with a second substrate comprising an array, such that at least a portion of the biological sample is aligned with at least a portion of the array, wherein the array comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises: (i) a spatial barcode and (ii) a capture domain; (f) releasing the connected probe from the nucleic acid analyte when at least a portion of the biological sample is aligned with at least a portion of the array; and (g) hybridizing the connected probe to the capture domain of the array.
In some instances, the fixative is applied to the tissue sample while the tissue sample is mounted on the first substrate. In some instances, the fixative further comprises acetone. In some instances, the methods also include applying a fixative comprising paraformaldehyde to the tissue sample before or instead of step (b). In some instances, the fixative does not comprise formalin or formaldehyde. In some instances, the tissue sample was flash-frozen, embedded in an optimal cutting temperature (OCT) compound, and sectioned before being mounted onto the first substrate. In some instances, the method also includes staining, imaging, and/or destaining the tissue sample before step (c).
In some instances, the tissue sample is derived from normal or diseased tissue. In some instances, the normal or diseased tissue is selected from skin, brain, breast, lung, liver, kidney, prostate, tonsil, thymus, testes, bone, lymph node, ovary, eye, heart, spleen, or embryo. In some instances, the first substrate comprises a glass slide.
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.
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.
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.
Spatial analysis methodologies, systems, 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 Section (I)(b) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Typically, a “barcode” is a label, or identifier, that conveys or is capable of conveying information (e.g., information about an analyte in a sample, a bead, and/or a capture probe). A barcode can be part of an analyte, or independent of an analyte. A barcode can be attached to an analyte. A particular barcode can be unique relative to other barcodes. For the purpose of this disclosure, an “analyte” can include any biological substance, structure, moiety, or component to be analyzed. The term “target” can similarly refer to an analyte of interest.
Analytes can be broadly classified into one of two groups: nucleic acid analytes, and non-nucleic acid analytes. Examples of non-nucleic acid analytes include, but are not limited to, lipids, carbohydrates, peptides, proteins, glycoproteins (N-linked or O-linked), lipoproteins, phosphoproteins, specific phosphorylated or acetylated variants of proteins, amidation variants of proteins, hydroxylation variants of proteins, methylation variants of proteins, ubiquitylation variants of proteins, sulfation variants of proteins, viral proteins (e.g., viral capsid, viral envelope, viral coat, viral accessory, viral glycoproteins, viral spike, etc.), extracellular and intracellular proteins, antibodies, and antigen binding fragments. In some embodiments, the analyte(s) can be localized to subcellular location(s), including, for example, organelles, e.g., mitochondria, Golgi apparatus, endoplasmic reticulum, chloroplasts, endocytic vesicles, exocytic vesicles, vacuoles, lysosomes, etc. In some embodiments, analyte(s) can be peptides or proteins, including without limitation antibodies and enzymes. Additional examples of analytes can be found in Section (I)(c) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. In some embodiments, an analyte can be detected indirectly, such as through detection of an intermediate agent, for example, a connected probe (e.g., a ligation product) or an analyte capture agent (e.g., an oligonucleotide-conjugated antibody), such as those described herein.
A “biological sample” is typically obtained from the subject for analysis using any of a variety of techniques including, but not limited to, biopsy, surgery, and laser capture microscopy (LCM), and generally includes cells and/or other biological material from the subject. In some embodiments, a biological sample can be a tissue section. In some embodiments, a biological sample can be a fixed and/or stained biological sample (e.g., a fixed and/or stained tissue section). Non-limiting examples of stains include histological stains (e.g., hematoxylin and/or eosin) and immunological stains (e.g., fluorescent stains). In some embodiments, a biological sample (e.g., a fixed and/or stained biological sample) can be imaged. Biological samples are also described in Section (I)(d) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
In some embodiments, a biological sample is permeabilized with one or more permeabilization reagents. For example, permeabilization of a biological sample can facilitate analyte capture. Exemplary permeabilization agents and conditions are described in Section (I)(d)(ii)(13) or the Exemplary Embodiments Section of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
Array-based spatial analysis methods involve the transfer of one or more analytes from a biological sample to an array of features on a substrate, where each feature is associated with a unique spatial location on the array. Subsequent analysis of the transferred analytes includes determining the identity of the analytes and the spatial location of the analytes within the biological sample. The spatial location of an analyte within the biological sample is determined based on the feature to which the analyte is bound (e.g., directly or indirectly) on the array, and the feature's relative spatial location within the array.
A “capture probe” refers to any molecule capable of capturing (directly or indirectly) and/or labelling an analyte (e.g., an analyte of interest) in a biological sample. In some embodiments, the capture probe is a nucleic acid or a polypeptide. In some embodiments, the capture probe includes a barcode (e.g., a spatial barcode and/or a unique molecular identifier (UMI)) and a capture domain). In some embodiments, a capture probe can include a cleavage domain and/or a functional domain (e.g., a primer-binding site, such as for next-generation sequencing (NGS)).
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.
A capture probe hybridizes to an analyte or an intermediate using complementarity principles. In some instances, a capture probe hybridizes to an analyte or an intermediate when the sequences of the capture probe and the analyte or intermediate are “substantially complementary” to one another. Substantially complementary includes variations in complementarity between 70% and 100%. In some embodiments, the percentage is from 80% to about 100%. In other embodiments, this percentage can be from 90% to about 100%; still in other embodiments, this percentage is from 95% to about 100%. Variations between the capture probe and the analyte or intermediate can be in the form of one or more nucleotide deletions, additions, substitutions or modifications in the analyte or intermediate sequence compared to the intended target sequence. This variation from the nucleic acid may be stated in terms of a percentage of identical bases within the sequence or the percentage of perfectly complementary bases between oligomer and its target sequence.
The functional sequences can generally be selected for compatibility with any of a variety of different sequencing systems, e.g., Ion Torrent Proton or PGM, Illumina sequencing instruments, PacBio, Oxford Nanopore, etc., and the requirements thereof. In some embodiments, functional sequences can be selected for compatibility with non-commercialized sequencing systems. Examples of such sequencing systems and techniques, for which suitable functional sequences can be used, include (but are not limited to) Ion Torrent Proton or PGM sequencing, Illumina sequencing, PacBio SMRT sequencing, and Oxford Nanopore sequencing. Further, in some embodiments, functional sequences can be selected for compatibility with other sequencing systems, including non-commercialized sequencing systems.
In some embodiments, the spatial barcode 105 and functional sequences 104 is common to all of the probes attached to a given feature. In some embodiments, the UMI sequence 106 of a capture probe attached to a given feature is different from the UMI sequence of a different capture probe attached to the given feature.
In some embodiments, more than one analyte type (e.g., nucleic acids and proteins) from a biological sample can be detected (e.g., simultaneously or sequentially) using any appropriate multiplexing technique, such as those described in Section (IV) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
In some embodiments, detection of one or more analytes (e.g., protein analytes) can be performed using one or more analyte capture agents. As used herein, an “analyte capture agent” refers to an agent that interacts with an analyte (e.g., an analyte in a biological sample) and with a capture probe (e.g., a capture probe attached to a substrate or a feature) to identify the analyte. In some embodiments, the analyte capture agent includes: (i) an analyte binding moiety (e.g., that binds to an analyte), for example, an antibody or antigen-binding fragment thereof; (ii) analyte binding moiety barcode; and (iii) a capture handle sequence. As used herein, the term “analyte binding moiety barcode” refers to a barcode that is associated with or otherwise identifies the analyte binding moiety. As used herein, the term “analyte capture sequence” or “capture handle sequence” refers to a region or moiety configured to hybridize to, bind to, couple to, or otherwise interact with a capture domain of a capture probe. In some embodiments, a capture handle sequence is complementary to a capture domain of a capture probe. In some cases, an analyte binding moiety barcode (or portion thereof) may be able to be removed (e.g., cleaved) from the analyte capture agent.
Additional description of analyte capture agents can be found in Section (II)(b)(ix) of WO 2020/176788 and/or Section (II)(b)(viii) U.S. Patent Application Publication No. 2020/0277663.
There are at least two methods to associate a spatial barcode with one or more neighboring cells, such that the spatial barcode identifies the one or more cells, and/or contents of the one or more cells, as associated with a particular spatial location. One method is to promote analytes or analyte proxies (e.g., intermediate agents) out of a cell and towards a spatially-barcoded array (e.g., including spatially-barcoded capture probes). Another method is to cleave spatially-barcoded capture probes from an array and promote the spatially-barcoded capture probes towards and/or into or onto the biological sample.
In some cases, capture probes may be configured to prime, replicate, and consequently yield optionally barcoded extension products from a template (e.g., a DNA or RNA template, such as an analyte or an intermediate agent (e.g., a connected probe (e.g., a ligation product) or an analyte capture agent), or a portion thereof), or derivatives thereof (see, e.g., Section (II)(b)(vii) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663 regarding extended capture probes). In some cases, capture probes may be configured to form a connected probe (e.g., a ligation product) with a template (e.g., a DNA or RNA template, such as an analyte or an intermediate agent, or portion thereof), thereby creating ligations products that serve as proxies for a template.
As used herein, an “extended capture probe” refers to a capture probe having additional nucleotides added to the terminus (e.g., 3′ or 5′ end) of the capture probe thereby extending the overall length of the capture probe. For example, an “extended 3′ end” indicates additional nucleotides were added to the most 3′ nucleotide of the capture probe to extend the length of the capture probe, for example, by polymerization reactions used to extend nucleic acid molecules including templated polymerization catalyzed by a polymerase (e.g., a DNA polymerase or a reverse transcriptase). In some embodiments, extending the capture probe includes adding to a 3′ end of a capture probe a nucleic acid sequence that is complementary to a nucleic acid sequence of an analyte or intermediate agent 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 Section (II)(a) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Analysis of captured analytes (and/or intermediate agents or portions thereof), for example, including sample removal, extension of capture probes, sequencing (e.g., of a cleaved extended capture probe and/or a cDNA molecule complementary to an extended capture probe), sequencing on the array (e.g., using, for example, in situ hybridization or in situ ligation approaches), temporal analysis, and/or proximity capture, is described in Section (II)(g) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Some quality control measures are described in Section (II)(h) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
Spatial information can provide information of biological and/or medical importance. For example, the methods and compositions described herein can allow for: identification of one or more biomarkers (e.g., diagnostic, prognostic, and/or for determination of efficacy of a treatment) of a disease or disorder; identification of a candidate drug target for treatment of a disease or disorder; identification (e.g., diagnosis) of a subject as having a disease or disorder; identification of stage and/or prognosis of a disease or disorder in a subject; identification of a subject as having an increased likelihood of developing a disease or disorder; monitoring of progression of a disease or disorder in a subject; determination of efficacy of a treatment of a disease or disorder in a subject; identification of a patient subpopulation for which a treatment is effective for a disease or disorder; modification of a treatment of a subject with a disease or disorder; selection of a subject for participation in a clinical trial; and/or selection of a treatment for a subject with a disease or disorder.
Spatial information can provide information of biological importance. For example, the methods and compositions described herein can allow for: identification of transcriptome and/or proteome expression profiles (e.g., in healthy and/or diseased tissue); identification of multiple analyte types in close proximity (e.g., nearest neighbor analysis); determination of up- and/or down-regulated genes and/or proteins in diseased tissue; characterization of tumor microenvironments; characterization of tumor immune responses; characterization of cells types and their co-localization in tissue; and identification of genetic variants within tissues (e.g., based on gene and/or protein expression profiles associated with specific disease or disorder biomarkers).
Typically, for spatial array-based methods, a substrate functions as a support for direct or indirect attachment of capture probes to features of the array. A “feature” is an entity that acts as a support or repository for various molecular entities used in spatial analysis. In some embodiments, some or all of the features in an array are functionalized for analyte capture. Exemplary substrates are described in Section (II)(c) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Exemplary features and geometric attributes of an array can be found in Sections (II)(d)(i), (II)(d)(iii), and (II)(d)(iv) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
Generally, analytes and/or intermediate agents (or portions thereof) can be captured when contacting a biological sample with a substrate including capture probes (e.g., a substrate with capture probes embedded, spotted, printed, fabricated on the substrate, or a substrate with features (e.g., beads, wells) comprising capture probes). As used herein, “contact,” “contacted,” and/or “contacting,” a biological sample with a substrate refers to any contact (e.g., direct or indirect) such that capture probes can interact (e.g., bind covalently or non-covalently (e.g., hybridize)) with analytes from the biological sample. Capture can be achieved actively (e.g., using electrophoresis) or passively (e.g., using diffusion). Analyte capture is further described in Section (II)(e) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
In some cases, spatial analysis can be performed by attaching and/or introducing a molecule (e.g., a peptide, a lipid, or a nucleic acid molecule) having a barcode (e.g., a spatial barcode) to a biological sample (e.g., to a cell in a biological sample). In some embodiments, a plurality of molecules (e.g., a plurality of nucleic acid molecules) having a plurality of barcodes (e.g., a plurality of spatial barcodes) are introduced to a biological sample (e.g., to a plurality of cells in a biological sample) for use in spatial analysis. In some embodiments, after attaching and/or introducing a molecule having a barcode to a biological sample, the biological sample can be physically separated (e.g., dissociated) into single cells or cell groups for analysis. Some such methods of spatial analysis are described in Section (III) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
In some cases, spatial analysis can be performed by detecting multiple oligonucleotides that hybridize to an analyte. In some instances, for example, spatial analysis can be performed using RNA-templated ligation (RTL). Methods of RTL have been described previously. See, e.g., Credle et al., Nucleic Acids Res. 2017 Aug. 21; 45(14):e128. Typically, RTL includes hybridization of two oligonucleotides to adjacent sequences on an analyte (e.g., an RNA molecule, such as an mRNA molecule). In some instances, the oligonucleotides are DNA molecules. In some instances, one of the oligonucleotides includes at least two ribonucleic acid bases at the 3′ end and/or the other oligonucleotide includes a phosphorylated nucleotide at the 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 connected probe (e.g., a ligation product). In some instances, the two oligonucleotides hybridize to sequences that are not adjacent to one another. For example, hybridization of the two oligonucleotides creates a gap between the hybridized oligonucleotides. In some instances, a polymerase (e.g., a DNA polymerase) can extend one of the oligonucleotides prior to ligation. After ligation, the connected probe (e.g., a ligation product) is released from the analyte. In some instances, the connected probe (e.g., a ligation product) is released using an endonuclease (e.g., RNase A, RNase C, RNase H, or RNase I). The released connected probe (e.g., a ligation product) can then be captured by capture probes (e.g., instead of direct capture of an analyte) on an array, optionally amplified, and sequenced, thus determining the location and optionally the abundance of the analyte in the biological sample.
During analysis of spatial information, sequence information for a spatial barcode associated with an analyte is obtained, and the sequence information can be used to provide information about the spatial distribution of the analyte in the biological sample. Various methods can be used to obtain the spatial information. In some embodiments, specific capture probes and the analytes they capture are associated with specific locations in an array of features on a substrate. For example, specific spatial barcodes can be associated with specific array locations prior to array fabrication, and the sequences of the spatial barcodes can be stored (e.g., in a database) along with specific array location information, so that each spatial barcode uniquely maps to a particular array location.
Alternatively, specific spatial barcodes can be deposited at predetermined locations in an array of features during fabrication such that at each location, only one type of spatial barcode is present so that spatial barcodes are uniquely associated with a single feature of the array. Where necessary, the arrays can be decoded using any of the methods described herein so that spatial barcodes are uniquely associated with array feature locations, and this mapping can be stored as described above.
When sequence information is obtained for capture probes and/or analytes during analysis of spatial information, the locations of the capture probes and/or analytes can be determined by referring to the stored information that uniquely associates each spatial barcode with an array feature location. In this manner, specific capture probes and captured analytes are associated with specific locations in the array of features. Each array feature location represents a position relative to a coordinate reference point (e.g., an array location, a fiducial marker) for the array. Accordingly, each feature location has an “address” or location in the coordinate space of the array.
Some exemplary spatial analysis workflows are described in the Exemplary Embodiments section of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. See, for example, the Exemplary embodiment starting with “In some non-limiting examples of the workflows described herein, the sample can be immersed . . . ” of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. See also, e.g., the Visium Spatial Gene Expression Reagent Kits User Guide (e.g., Rev C, dated June 2020), and/or the Visium Spatial Tissue Optimization Reagent Kits User Guide (e.g., Rev C, dated July 2020).
In some embodiments, spatial analysis can be performed using dedicated hardware and/or software, such as any of the systems described in Sections (II)(e)(ii) and/or (V) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663, or any of one or more of the devices or methods described in Sections Control Slide for Imaging, Methods of Using Control Slides and Substrates for, Systems of Using Control Slides and Substrates for Imaging, and/or Sample and Array Alignment Devices and Methods, Informational labels of WO 2020/123320.
Suitable systems for performing spatial analysis can include components such as a chamber (e.g., a flow cell or sealable, fluid-tight chamber) for containing a biological sample. The biological sample can be mounted for example, in a biological sample holder. One or more fluid chambers can be connected to the chamber and/or the sample holder via fluid conduits, and fluids can be delivered into the chamber and/or sample holder via fluidic pumps, vacuum sources, or other devices coupled to the fluid conduits that create a pressure gradient to drive fluid flow. One or more valves can also be connected to fluid conduits to regulate the flow of reagents from reservoirs to the chamber and/or sample holder.
The systems can optionally include a control unit that includes one or more electronic processors, an input interface, an output interface (such as a display), and a storage unit (e.g., a solid state storage medium such as, but not limited to, a magnetic, optical, or other solid state, persistent, writeable and/or re-writeable storage medium). The control unit can optionally be connected to one or more remote devices via a network. The control unit (and components thereof) can generally perform any of the steps and functions described herein. Where the system is connected to a remote device, the remote device (or devices) can perform any of the steps or features described herein. The systems can optionally include one or more detectors (e.g., CCD, CMOS) used to capture images. The systems can also optionally include one or more light sources (e.g., LED-based, diode-based, lasers) for illuminating a sample, a substrate with features, analytes from a biological sample captured on a substrate, and various control and calibration media.
The systems can optionally include software instructions encoded and/or implemented in one or more of tangible storage media and hardware components such as application specific integrated circuits. The software instructions, when executed by a control unit (and in particular, an electronic processor) or an integrated circuit, can cause the control unit, integrated circuit, or other component executing the software instructions to perform any of the method steps or functions described herein.
In some cases, the systems described herein can detect (e.g., register an image) the biological sample on the array. Exemplary methods to detect the biological sample on an array are described in PCT Application No. 2020/061064 and/or U.S. patent application Ser. No. 16/951,854.
Prior to transferring analytes from the biological sample to the array of features on the substrate, the biological sample can be aligned with the array. Alignment of a biological sample and an array of features including capture probes can facilitate spatial analysis, which can be used to detect differences in analyte presence and/or level within different positions in the biological sample, for example, to generate a three-dimensional map of the analyte presence and/or level. Exemplary methods to generate a two- and/or three-dimensional map of the analyte presence and/or level are described in PCT Application No. 2020/053655 and spatial analysis methods are generally described in WO 2020/061108 and/or U.S. patent application Ser. No. 16/951,864.
In some cases, a map of analyte presence and/or level can be aligned to an image of a biological sample using one or more fiducial markers, e.g., objects placed in the field of view of an imaging system which appear in the image produced, as described in the Substrate Attributes Section, Control Slide for Imaging Section of WO 2020/123320, PCT Application No. 2020/061066, and/or U.S. patent application Ser. No. 16/951,843. Fiducial markers can be used as a point of reference or measurement scale for alignment (e.g., to align a sample and an array, to align two substrates, to determine a location of a sample or array on a substrate relative to a fiducial marker) and/or for quantitative measurements of sizes and/or distances.
The sandwich process is described in PCT Patent Application Publication No. WO 2020/123320, which is incorporated by reference in its entirety.
(a) Introduction
Provided herein are methods, devices, compositions, and systems for analyzing the location and abundance of a nucleic acid or protein analyte in a biological sample. In some instances, the methods include aligning (i.e., sandwiching) a first substrate having the biological sample with a second substrate that includes a plurality of capture probes, thereby “sandwiching” the biological sample between the two substrates. Upon interaction of the biological sample with the substrate having a plurality of probes (in either instance), the location and/or abundance of an analyte (e.g., a nucleic acid or protein analyte) in a biological sample can be determined, as provided herein. The methods provide an advantage in that, prior to analyte or analyte-derived molecule capture by the capture probe, most—if not all—steps can be performed on a substrate that does not have capture probes, thereby providing a method that is cost effective.
The methods and systems provided herein can be applied to an analyte or an analyte-derived molecule(s). As used herein, an analyte derived molecule includes, without limitation, a connected probe (e.g., a ligation product) from an RNA-templated ligation (RTL) assay, a product of reverse transcription (e.g., an extended capture probe), and an analyte binding moiety barcode (e.g., a binding moiety barcode that identifies that analyte binding moiety (e.g., an antibody)). In some embodiments, the analyte or analyte derived molecules comprise RNA and/or DNA. In some embodiments, the analyte or analyte derived molecules comprise one or more proteins.
In some instances, the methods, devices, compositions, and systems disclosed herein provide efficient release of an analyte or analyte derived molecule from a biological sample so that it can be easily captured or detected using methods disclosed herein.
In some instances, the methods, devices, compositions, and systems disclosed herein allow for detection of analytes or analyte derived molecules from different biological samples using a single array comprising a plurality of capture probes. As such, in some instances, the methods, devices, compositions, and systems allow for serial capture of analytes or analyte derived molecules from multiple samples. The analytes or analyte derived molecules can then be demultiplexed using biological-sample-specific index sequences to identify its biological sample origin.
Embodiments of the methods, devices, compositions, and systems disclosed herein are provided below.
(A) Exemplary Biological Samples
The biological sample as used herein can be any suitable biological sample described herein or known in the art. In some embodiments, the biological sample is a tissue. In some embodiments, the tissue sample is a solid tissue sample. In some embodiments, the biological sample is a tissue section. In some embodiments, the tissue is flash-frozen and sectioned. Any suitable method described herein or known in the art can be used to flash-freeze and section the tissue sample. In some embodiments, the biological sample, e.g., the tissue, is flash-frozen using liquid nitrogen before sectioning. In some embodiments, the biological sample, e.g., a tissue sample, is flash-frozen using nitrogen (e.g., liquid nitrogen), isopentane, or hexane.
In some embodiments, the biological sample, e.g., the tissue, is embedded in a matrix e.g., optimal cutting temperature (OCT) compound to facilitate sectioning. OCT compound is a formulation of clear, water-soluble glycols and resins, providing a solid matrix to encapsulate biological (e.g., tissue) specimens. In some embodiments, the sectioning is performed using cryosectioning. In some embodiments, the methods further comprise a thawing step, after the cryosectioning.
In some embodiments, the biological sample, e.g., the tissue sample, is fixed in a fixative including alcohol, for example methanol. In some embodiments, instead of methanol, acetone, or an acetone-methanol mixture can be used. In some embodiments, the fixation is performed after sectioning. In some instances, the biological sample is not fixed with paraformaldehyde (PFA). In some instances, when the biological sample is fixed with a fixative including an alcohol (e.g., methanol or acetone-methanol mixture), it is not decrosslinked afterward. In some preferred embodiments, the biological sample is fixed with a fixative including an alcohol (e.g., methanol or an acetone-methanol mixture) after freezing and/or sectioning. In some instances, the biological sample is flash-frozen, and then the biological sample is sectioned and fixed (e.g., using methanol, acetone, or an acetone-methanol mixture). In some instances when methanol, acetone, or an acetone-methanol mixture is used to fix the biological sample, the sample is not decrosslinked at a later step. In instances when the biological sample is frozen (e.g., flash frozen using liquid nitrogen and embedded in OCT) followed by sectioning and alcohol (e.g., methanol, acetone-methanol) fixation or acetone fixation, the biological sample is referred to as “fresh frozen”. In some embodiments, fixation of the biological sample e.g., using acetone and/or alcohol (e.g., methanol, acetone-methanol) is performed while the sample is mounted on a substrate (e.g., glass slide, such as a positively charged glass slide).
In some embodiments, the biological sample, e.g., the tissue sample, is fixed e.g., immediately after being harvested from a subject. In such embodiments, the fixative is preferably an aldehyde fixative, such as paraformaldehyde (PFA) or formalin. In some embodiments, the fixative induces crosslinks within the biological sample. In some embodiments, after fixing e.g., by formalin or PFA, the biological sample is dehydrated via sucrose gradient. In some instances, the fixed biological sample is treated with a sucrose gradient and then embedded in a matrix e.g., OCT compound. In some instances, the fixed biological sample is not treated with a sucrose gradient, but rather is embedded in a matrix e.g., OCT compound after fixation. In some embodiments when a fixed frozen tissue sample is treated with a sucrose gradient, it can be rehydrated with an ethanol gradient. In some embodiments, the PFA or formalin fixed biological sample, which can be optionally dehydrated via sucrose gradient and/or embedded in OCT compound, is then frozen e.g., for storage or shipment. In such instances, the biological sample is referred to as “fixed frozen”. In preferred embodiments, a fixed frozen biological sample is not treated with methanol. In preferred embodiments, a fixed frozen biological sample is not paraffin embedded. Thus, in preferred embodiments, a fixed frozen biological sample is not deparaffinized. In some embodiments, a fixed frozen biological sample is rehydrated in an ethanol gradient.
In some instances, the biological sample (e.g., a fixed frozen tissue sample) is treated with a citrate buffer. Citrate buffer can be used for antigen retrieval to decrosslink antigens and fixation medium in the biological sample. Thus, any suitable decrosslinking agent can be used in addition to or alternatively to citrate buffer. In some embodiments, for example, the biological sample (e.g., a fixed frozen tissue sample) is decrosslinked with TE buffer.
In any of the foregoing, the biological sample can further be stained, imaged, and/or destained. For example, in some embodiments, a fresh frozen tissue sample or fixed frozen tissue sample is stained (e.g., via eosin and/or hematoxylin), imaged, destained (e.g., via HCl), or a combination thereof. In some embodiments, when a fresh frozen tissue sample is fixed in methanol, it is treated with isopropanol prior to being stained (e.g., via eosin and/or hematoxylin), imaged, destained (e.g., via HCl), or a combination thereof. In some embodiments when a fixed frozen tissue sample is treated with a sucrose gradient, it can be rehydrated with an ethanol gradient before being stained, (e.g., via eosin and/or hematoxylin), imaged, destained (e.g., via HCl), decrosslinked (e.g., via TE buffer or citrate buffer), or a combination thereof. In some embodiments, the biological sample can undergo further fixation (e.g., while mounted on a substrate), stained, imaged, and/or destained. For example, a fixed frozen biological sample may be subject to an additional fixing step (e.g., using PFA) before optional ethanol rehydration, staining, imaging, and/or destaining.
In any of the foregoing, the biological sample can be fixed using PAXgene. For example, the biological sample can be fixed using PAXgene in addition, or alternatively to, a fixative disclosed herein or known in the art (e.g., alcohol, acetone, acetone-alcohol, formalin, paraformaldehyde). PAXgene is a non-cross-linking mixture of different alcohols, acid and a soluble organic compound that preserves morphology and bio-molecules. It is a two-reagent fixative system in which tissue is firstly fixed in a solution containing methanol and acetic acid then stabilized in a solution containing ethanol. See, Ergin B. et al., J Proteome Res. 2010 Oct. 1; 9(10):5188-96; Kap M. et al., PLoS One.; 6(11):e27704 (2011); and Mathieson W. et al., Am J Clin Pathol.; 146(1):25-40 (2016), each of which are hereby incorporated by reference in their entirety, for a description and evaluation of PAXgene for tissue fixation. Thus, in some embodiments, when the biological sample, e.g., the tissue sample, is fixed in a fixative including alcohol, the fixative is PAXgene. In some embodiments, a fresh frozen tissue sample is fixed with PAXgene. In some embodiments, a fixed frozen tissue sample is fixed with PAXgene.
In some embodiments, the biological sample, e.g., the tissue sample is fixed, for example in methanol, acetone, acetone-methanol, PFA, PAXgene or is formalin-fixed and paraffin-embedded (FFPE). In some embodiments, the biological sample comprises intact cells. In some embodiments, the biological sample is a cell pellet, e.g., a fixed cell pellet, e.g., an FFPE cell pellet. FFPE samples are used in some instances in the RTL methods disclosed herein. A limitation of direct RNA capture for fixed samples is that the RNA integrity of fixed (e.g., FFPE) samples can be lower than a fresh sample, thereby making it more difficult to capture RNA directly, e.g., by capture of a common sequence such as a poly(A) tail of an mRNA molecule. However, by utilizing RTL probe oligonucleotides that hybridize to RNA target sequences in the transcriptome, one can avoid a requirement for RNA analytes to have both a poly(A) tail and target sequences intact. Accordingly, RTL probes can be utilized to beneficially improve capture and spatial analysis of fixed samples. The biological sample, e.g., tissue sample, can be stained, and imaged prior, during, and/or after each step of the methods described herein. Any of the methods described herein or known in the art can be used to stain and/or image the biological sample. In some embodiments, the imaging occurs prior to destaining the sample. In some embodiments, the biological sample is stained using an H&E staining method. In some embodiments, the tissue sample is stained and imaged for about 10 minutes to about 2 hours (or any of the subranges of this range described herein). Additional time may be needed for staining and imaging of different types of biological samples.
The tissue sample can be obtained from any suitable location in a tissue or organ of a subject, e.g., a human subject. In some instances, the sample is a mouse sample. In some instances, the sample is a human sample. In some embodiments, the sample can be derived from skin, brain, breast, lung, liver, kidney, prostate, tonsil, thymus, testes, bone, lymph node, ovary, eye, heart, or spleen. In some instances, the sample is a human or mouse breast tissue sample. In some instances, the sample is a human or mouse brain tissue sample. In some instances, the sample is a human or mouse lung tissue sample. In some instances, the sample is a human or mouse tonsil tissue sample. In some instances, the sample is a human or mouse liver tissue sample. In some instances, the sample is a human or mouse bone, skin, kidney, thymus, testes, or prostate tissue sample. In some embodiments, the tissue sample is derived from normal or diseased tissue. In some embodiments, the sample is an embryo sample. The embryo sample can be a non-human embryo sample. In some instances, the sample is a mouse embryo sample.
(B) Exemplary First and Second Substrates
In some instances, the biological sample is placed (e.g., mounted or otherwise immobilized) on a first substrate. The first substrate can be any solid or semi-solid support upon which a biological sample can be mounted. In some instances, the first substrate is a slide. In some instances, the slide is a glass slide. In some embodiments, the substrate is made of glass, silicon, paper, hydrogel, polymer monoliths, or other material known in the art. In some embodiments, the first substrate is comprised of an inert material or matrix (e.g., glass slides) that has been functionalized by, for example, treating the substrate with a material comprising reactive groups which facilitate mounting of the biological sample.
In some embodiments, the first substrate does not comprise a plurality (e.g., array) of capture probes, each comprising a spatial barcode.
A substrate, e.g., a first substrate and/or a second substrate, can generally have any suitable form or format. For example, a substrate can be flat, curved, e.g., convexly or concavely curved. For example, a first substrate can be curved towards the area where the interaction between a biological sample, e.g., tissue sample, and a first substrate takes place. In some embodiments, a substrate is flat, e.g., planar, chip, or slide. A substrate can contain one or more patterned surfaces within the first substrate (e.g., channels, wells, projections, ridges, divots, etc.).
A substrate, e.g., a first substrate and/or second substrate, can be of any desired shape. For example, a substrate can be typically a thin, flat shape (e.g., a square or a rectangle). In some embodiments, a substrate structure has rounded corners (e.g., for increased safety or robustness). In some embodiments, a substrate structure has one or more cut-off corners (e.g., for use with a slide clamp or cross-table). In some embodiments wherein a substrate structure is flat, the substrate structure can be any appropriate type of support having a flat surface (e.g., a chip or a slide such as a microscope slide).
First and/or second substrates can optionally include various structures such as, but not limited to, projections, ridges, and channels. A substrate can be micropatterned to limit lateral diffusion of analytes (e.g., to improve resolution of the spatial analysis). A substrate modified with such structures can be modified to allow association of analytes, features (e.g., beads), or probes at individual sites. For example, the sites where a substrate is modified with various structures can be contiguous or non-contiguous with other sites.
In some embodiments, the surface of a first and/or second substrate is modified to contain one or more wells, using techniques such as (but not limited to) stamping, microetching, or molding techniques. In some embodiments in which a first and/or second substrate includes one or more wells, the first substrate can be a concavity slide or cavity slide. For example, wells can be formed by one or more shallow depressions on the surface of the first and/or second substrate. In some embodiments, where a first and/or second substrate includes one or more wells, the wells can be formed by attaching a cassette (e.g., a cassette containing one or more chambers) to a surface of the first substrate structure.
In some embodiments where the first and/or second substrate is modified to contain one or more structures, including but not limited to, wells, projections, ridges, features, or markings, the structures can include physically altered sites. For example, a first and/or second substrate modified with various structures can include physical properties, including, but not limited to, physical configurations, magnetic or compressive forces, chemically functionalized sites, chemically altered sites, and/or electrostatically altered sites. In some embodiments where the first substrate is modified to contain various structures, including but not limited to wells, projections, ridges, features, or markings, the structures are applied in a pattern. Alternatively, the structures can be randomly distributed.
In some embodiments, a first substrate includes one or more markings on its surface, e.g., to provide guidance for aligning at least a portion of the biological sample with a plurality of capture probes on the second substrate during a sandwich process disclosed herein. For example, the first substrate can include a sample area indicator identifying the sample area. In some embodiments, during a sandwiching process described herein the sample area indicator on the first substrate is aligned with an area of the second substrate comprising a plurality of capture probes. In some embodiments, the first and/or second substrate can include a fiducial mark. In some embodiments, the first and/or second substrate does not comprise a fiducial mark. In some embodiments, the first substrate does not comprise a fiducial mark and the second substrate comprises a fiducial mark. Such markings can be made using techniques including, but not limited to, printing, sand-blasting, and depositing on the surface.
In some embodiments, imaging can be performed using one or more fiducial markers, i.e., objects placed in the field of view of an imaging system which appear in the image produced. Fiducial markers are typically used as a point of reference or measurement scale. Fiducial markers can include, but are not limited to, detectable labels such as fluorescent, radioactive, chemiluminescent, and colorimetric labels. The use of fiducial markers to stabilize and orient biological samples is described, for example, in Carter et al., Applied Optics 46:421-427, 2007), the entire contents of which are incorporated herein by reference. In some embodiments, a fiducial marker can be a physical particle (e.g., a nanoparticle, a microsphere, a nanosphere, a bead, a post, or any of the other exemplary physical particles described herein or known in the art).
In some embodiments, a fiducial marker can be present on a first substrate to provide orientation of the biological sample. In some embodiments, a microsphere can be coupled to a first substrate to aid in orientation of the biological sample. In some examples, a microsphere coupled to a first substrate can produce an optical signal (e.g., fluorescence). In some embodiments, a quantum dot can be coupled to the first substrate to aid in the orientation of the biological sample. In some examples, a quantum dot coupled to a first substrate can produce an optical signal.
In some embodiments, a fiducial marker can be an immobilized molecule with which a detectable signal molecule can interact to generate a signal. For example, a marker nucleic acid can be linked or coupled to a chemical moiety capable of fluorescing when subjected to light of a specific wavelength (or range of wavelengths). Although not required, it can be advantageous to use a marker that can be detected using the same conditions (e.g., imaging conditions) used to detect a labelled cDNA.
In some embodiments, a fiducial marker can be randomly placed in the field of view. For example, an oligonucleotide containing a fluorophore can be randomly printed, stamped, synthesized, or attached to a first substrate (e.g., a glass slide) at a random position on the first substrate. A tissue section can be contacted with the first substrate such that the oligonucleotide containing the fluorophore contacts, or is in proximity to, a cell from the tissue section or a component of the cell (e.g., an mRNA or DNA molecule). An image of the first substrate and the tissue section can be obtained, and the position of the fluorophore within the tissue section image can be determined (e.g., by reviewing an optical image of the tissue section overlaid with the fluorophore detection). In some embodiments, fiducial markers can be precisely placed in the field of view (e.g., at known locations on a first substrate). In this instance, a fiducial marker can be stamped, attached, or synthesized on the first substrate and contacted with a biological sample. Typically, an image of the sample and the fiducial marker is taken, and the position of the fiducial marker on the first substrate can be confirmed by viewing the image.
In some embodiments, a fiducial marker can be an immobilized molecule (e.g., a physical particle) attached to the first substrate. For example, a fiducial marker can be a nanoparticle, e.g., a nanorod, a nanowire, a nanocube, a nanopyramid, or a spherical nanoparticle. In some examples, the nanoparticle can be made of a heavy metal (e.g., gold). In some embodiments, the nanoparticle can be made from diamond. In some embodiments, the fiducial marker can be visible by eye.
A wide variety of different first substrates can be used for the foregoing purposes. In general, a first substrate can be any suitable support material. Exemplary first 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.
Among the examples of first substrate materials discussed above, polystyrene is a hydrophobic material suitable for binding negatively charged macromolecules because it normally contains few hydrophilic groups. For nucleic acids immobilized on glass slides, by increasing the hydrophobicity of the glass surface the nucleic acid immobilization can be increased. Such an enhancement can permit a relatively more densely packed formation (e.g., provide improved specificity and resolution).
In another example, a first substrate can be a flow cell. Flow cells can be formed of any of the foregoing materials, and can include channels that permit reagents, solvents, features, and analytes to pass through the flow cell. In some embodiments, a hydrogel embedded biological sample is assembled in a flow cell (e.g., the flow cell is utilized to introduce the hydrogel to the biological sample). In some embodiments, a hydrogel embedded biological sample is not assembled in a flow cell. In some embodiments, the hydrogel embedded biological sample can then be prepared and/or isometrically expanded as described herein.
Exemplary substrates similar to the first substrate (e.g., a substrate having no capture probes) and/or the second substrate are described in Section (I) above and in WO 2020/123320, which is hereby incorporated by reference in its entirety.
(b) Capturing Nucleic Acid Analytes Using RNA-Templated Ligation
In some embodiments, the methods, devices, compositions, and systems described herein utilize RNA-templated ligation to detect the analyte. As used herein, spatial “RNA-templated ligation,” or “RTL” or simply “templated ligation” is a process wherein individual probe oligonucleotides (e.g., a first probe oligonucleotide, a second probe oligonucleotide) in a probe pair hybridize to adjacent sequences of an analyte (e.g., an RNA molecule) in a biological sample (e.g., a tissue sample). The RTL probe oligonucleotides are then coupled (e.g., ligated) together, thereby creating a connected probe (e.g., a ligation product). RNA-templated ligation is disclosed in PCT Publ. No. WO 2021/133849 A1 and US Publ. No. US 2021/0285046 A1, each of which is incorporated by reference in its entirety.
An advantage to using RTL is that it allows for enhanced detection of analytes (e.g., low expressing analytes) because both probe oligonucleotides must hybridize to the analyte in order for the coupling (e.g., ligating) reaction to occur. As used herein, “coupling” refers to an interaction between two probe oligonucleotides that results in a single connected probe that comprises the two probe oligonucleotides. In some instances, coupling is achieved through ligation. In some instances, coupling is achieved through extension of one probe oligonucleotide to the second probe oligonucleotide followed by ligation. In some instances, coupling is achieved through hybridization (e.g., using a third probe oligonucleotide that hybridized to each of the two probe oligonucleotides) followed by extension of one probe oligonucleotide or gap filling of the sequence between the two probe oligonucleotides using the third probe oligonucleotide as a template.
The connected probe (e.g., ligation product) that results from the coupling (e.g., ligation) of the two probe oligonucleotides can serve as a proxy for the target analyte, as such an analyte derived molecule. Further, it is appreciated that probe oligonucleotide pairs can be designed to cover any gene of interest. For example, a pair of probe oligonucleotides can be designed so that each analyte, e.g., a whole exome, a transcriptome, a genome, can conceivably be detected using a probe oligonucleotide pair.
In some instances, disclosed herein are methods for analyzing an analyte in a biological sample comprising (a) hybridizing a first probe oligonucleotide and a second probe oligonucleotide to the analyte, wherein the first probe oligonucleotide and the second probe oligonucleotide each comprise a sequence that is substantially complementary to adjacent sequences of the analyte, and wherein the second probe oligonucleotide comprises a capture probe binding domain; (b) coupling the first probe oligonucleotide and the second probe oligonucleotide, thereby generating a connected probe (e.g., a ligation product) comprising the capture probe binding domain; (c) contacting the biological sample with a reagent medium comprising a permeabilization agent and an agent for releasing the connected probe (e.g., a ligation product), thereby (i) permeabilizing the biological sample and (ii) releasing the connected probe (e.g., a ligation product) from the analyte; and (d) hybridizing the capture probe binding domain of the connected probe (e.g., a ligation product) to a capture domain of a capture probe, wherein the capture probe comprises: (i) a spatial barcode and (ii) a capture domain.
Also provided herein are methods for analyzing an analyte in a biological sample mounted on a first substrate including (a) hybridizing a first probe oligonucleotide and a second probe oligonucleotide to the analyte, wherein the first probe oligonucleotide and the second probe oligonucleotide each include a sequence that is substantially complementary to adjacent sequences of the analyte, and wherein the second probe oligonucleotide includes a capture probe binding domain; (b) coupling (e.g., ligating) the first probe oligonucleotide and the second probe oligonucleotide, thereby generating a connected probe (e.g., a ligation product) including the capture probe binding domain; (c) aligning the first substrate with a second substrate including an array, such that at least a portion of the biological sample is aligned with at least a portion of the array, wherein the array includes a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes: (i) a spatial barcode and (ii) a capture domain; (d) when the biological sample is aligned with at least a portion of the array, (i) releasing the connected probe (e.g., a ligation product) from the analyte and (ii) passively or actively migrating the connected probe (e.g., a ligation product) from the biological sample to the array; and (e) hybridizing the capture probe binding domain of the connected probe (e.g., a ligation product) to the capture domain.
In some embodiments, the process of transferring the connected probe (e.g., a ligation product) from the first substrate to the second substrate is referred to as a “sandwich” process. The sandwich process is described in PCT Patent Application Publication No. WO 2020/123320, which is incorporated by reference in its entirety. Described herein are methods in which an array with capture probes located on a substrate and a biological sample located on a different substrate, are contacted such that the array is in contact with the biological sample (e.g., the substrates are sandwiched together). In some embodiments, the array and the biological sample can be contacted (e.g., sandwiched), without the aid of a substrate holder. In some embodiments, the array and biological sample substrates can be placed in a substrate holder (e.g., an array alignment device) designed to align the biological sample and the array. For example, the substrate holder can have placeholders for two substrates. In some embodiments, an array including capture probes can be positioned on one side of the substrate holder (e.g., in a first substrate placeholder). In some embodiments, a biological sample can be placed on the adjacent side of the substrate holder in a second placeholder. In some embodiments, a hinge can be located between the two substrate placeholders that allows the substrate holder to close, e.g., make a sandwich between the two substrate placeholders. In some embodiments, when the substrate holder is closed the biological sample and the array with capture probes are contacted with one another under conditions sufficient to allow analytes present in the biological sample to interact with the capture probes of the array. For example, dried permeabilization reagents can be placed on the biological sample and rehydrated. A permeabilization solution can be flowed through the substrate holder to permeabilize the biological sample and allow analytes in the biological sample to interact with the capture probes. Additionally, the temperature of the substrates or permeabilization solution can be used to initiate or control the rate of permeabilization. For example, the substrate including the array, the substrate including the biological sample, or both substrates can be held at a low temperature to slow diffusion and permeabilization efficiency. Once sandwiched, in some embodiments, the substrates can be heated to initiate permeabilization and/or increase diffusion efficiency. Transcripts that are released from the permeabilized tissue can diffuse to the array and be captured by the capture probes. The sandwich can be opened, and cDNA synthesis can be performed on the array.
In some embodiments, the methods as disclosed herein include hybridizing of one or more probe oligonucleotide probe pairs (e.g., RTL probes) to adjacent or nearby sequences of a target analyte (e.g., RNA; e.g., mRNA) of interest. In some embodiments, the probe oligonucleotide pairs include sequences that are complementary or substantially complementary to an analyte. For example, in some embodiments, each probe oligonucleotide includes a sequence that is complementary or substantially complementary to an mRNA of interest (e.g., to a portion of the sequence of an mRNA of interest). In some embodiments, each target analyte includes a first target region and a second target region. In some embodiments, the methods include providing a plurality of first probe oligonucleotides and a plurality of second probe oligonucleotides, wherein a pair of probe oligonucleotides for a target analyte comprises both a first and second probe oligonucleotide. In some embodiments, a first probe oligonucleotide hybridizes to a first target region of the analyte, and the second probe oligonucleotide hybridizes to a second, adjacent or nearly adjacent target region of the analyte.
In some instances, the probe oligonucleotides are DNA molecules. In some instances, the first probe oligonucleotide is a DNA molecule. In some instances, the second probe oligonucleotide is a DNA molecule. In some instances, the first probe oligonucleotide comprises at least two ribonucleic acid bases at the 3′ end. In some instances, the second probe oligonucleotide comprises a phosphorylated nucleotide at the 5′ end.
RTL probes can be designed using methods known in the art. In some instances, probe pairs are designed to cover an entire transcriptome of a species (e.g., a mouse or a human). In some instances, RTL probes are designed to cover a subset of a transcriptome (e.g., a mouse or a human). In some instances, the methods disclosed herein utilize about 500, about 1000, about 2000, about 3000, about 4000, about 5000, about 6000, about 7000, about 8000, about 9000, about 10,000, about 15,000, about 20,000, or more probe pairs.
In some embodiments, one of the probe oligonucleotides of the pair of probe oligonucleotides for RTL includes a poly(A) sequence or a complement thereof. In some instances, the poly(A) sequence or a complement thereof is on the 5′ end of one of the probe oligonucleotides. In some instances, the poly(A) sequence or a complement thereof is on the 3′ end of one of the probe oligonucleotides. In some embodiments, one probe oligonucleotide of the pair of probe oligonucleotides for RTL includes a degenerate or UMI sequence. In some embodiments, the UMI sequence is specific to a particular target or set of targets. In some instances, the UMI sequence or a complement thereof is on the 5′ end of one of the probe oligonucleotides. In some instances, the UMI sequence or a complement thereof is on the 3′ end of one of the probe oligonucleotides.
In some instances, the first and second target regions of an analyte are directly adjacent to one another. In some embodiments, the complementary sequences to which the first probe oligonucleotide and the second probe oligonucleotide hybridize are 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, about 15, about 20, about 25, about 30, about 35, about 40, about 45, about 50, about 55, about 60, about 65, about 70, about 75, about 80, about 85, about 90, about 95, about 100, about 125, or about 150 nucleotides away from each other. Gaps between the probe oligonucleotides may first be filled prior to coupling (e.g., ligation), using, for example, dNTPs in combination with a polymerase such as polymerase mu, DNA polymerase, RNA polymerase, reverse transcriptase, VENT polymerase, Taq polymerase, and/or any combinations, derivatives, and variants (e.g., engineered mutants) thereof. In some embodiments, when the first and second probe oligonucleotides are separated from each other by one or more nucleotides, deoxyribonucleotides are used to extend and couple (e.g., ligate) the first and second probe oligonucleotides.
In some instances, the first probe oligonucleotide and the second probe oligonucleotide hybridize to an analyte on the same transcript. In some instances, the first probe oligonucleotide and the second probe oligonucleotide hybridize to an analyte on the same exon. In some instances, the first probe oligonucleotide and the second probe oligonucleotide hybridize to an analyte on different exons. In some instances, the first probe oligonucleotide and the second probe oligonucleotide hybridize to an analyte that is the result of a translocation event (e.g., in the setting of cancer). The methods provided herein make it possible to identify alternative splicing events, translocation events, and mutations that change the hybridization rate of one or both probe oligonucleotides (e.g., single nucleotide polymorphisms, insertions, deletions, point mutations).
In some embodiments, the first and/or second probe as disclosed herein includes at least two ribonucleic acid bases at the 3′ end; a functional sequence; a phosphorylated nucleotide at the 5′ end; and/or a capture probe binding domain. In some embodiments, the functional sequence is a primer sequence.
The “capture probe binding domain” is a sequence that is complementary to a particular capture domain present in a capture probe. In some embodiments, the capture probe binding domain includes a poly(A) sequence. In some embodiments, the capture probe binding domain includes a poly-uridine sequence, a poly-thymidine sequence, or a combination thereof. In some embodiments, the capture probe binding domain includes a random sequence (e.g., a random hexamer or octamer). In some embodiments, the capture probe binding domain is complementary to a capture domain in a capture probe that detects a particular target(s) of interest. In some embodiments, a capture probe binding domain blocking moiety that interacts with the capture probe binding domain is provided. In some embodiments, a capture probe binding domain blocking moiety includes a sequence that is complementary or substantially complementary to a capture probe binding domain. In some embodiments, a capture probe binding domain blocking moiety prevents the capture probe binding domain from binding the capture probe when present. In some embodiments, a capture probe binding domain blocking moiety is removed prior to binding the capture probe binding domain (e.g., present in a connected probe (e.g., a ligation product)) to a capture probe. In some embodiments, a capture probe binding domain blocking moiety comprises a poly-uridine sequence, a poly-thymidine sequence, or a combination thereof.
Hybridization of the probe oligonucleotides to the target analyte can occur at a target having a sequence that is 100% complementary to the probe oligonucleotide(s). In some embodiments, hybridization can occur at a target having a sequence that is at least (e.g. at least about) 80%, at least (e.g. at least about) 85%, at least (e.g. at least about) 90%, at least (e.g. at least about) 95%, at least (e.g. at least about) 96%, at least (e.g. at least about) 97%, at least (e.g. at least about) 98%, or at least (e.g. at least about) 99% complementary to the probe oligonucleotide(s). After hybridization, in some embodiments, the first probe oligonucleotide is extended. After hybridization, in some embodiments, the second probe oligonucleotide is extended. For example, in some instances a first probe oligonucleotide hybridizes to a target sequence upstream for a second oligonucleotide probe, whereas in other instances a first probe oligonucleotide hybridizes to a target sequence downstream of a second probe oligonucleotide.
In some embodiments, methods disclosed herein include a wash step after hybridizing the first and the second probe oligonucleotides. The wash step removes any unbound oligonucleotides and can be performed using any technique known in the art. In some embodiments, a pre-hybridization buffer is used to wash the sample. In some embodiments, a phosphate buffer is used. In some embodiments, multiple wash steps are performed to remove unbound oligonucleotides. For example, it is advantageous to decrease the amount of unhybridized probes present in a biological sample as they may interfere with downstream applications and methods.
In some embodiments, after hybridization of probe oligonucleotides (e.g., first and the second probe oligonucleotides) to the target analyte, the probe oligonucleotides (e.g., the first probe oligonucleotide and the second probe oligonucleotide) are coupled (e.g., ligated) together, creating a single connected probe (e.g., a ligation product) that is complementary to the target analyte. Ligation can be performed enzymatically or chemically, as described herein. For example, the first and second probe oligonucleotides are hybridized to the first and second target regions of the analyte, and the probe oligonucleotides are subjected to a nucleic acid reaction to ligate them together. For example, the probes may be subjected to an enzymatic ligation reaction using a ligase (e.g., T4 RNA ligase (Rn12), a SplintR ligase, or a T4 DNA ligase). See, e.g., Zhang L., et al.; Archaeal RNA ligase from Thermococcus kodakarensis for template dependent ligation RNA Biol. 2017; 14(1): 36-44 for a description of KOD ligase. A skilled artisan will understand that various reagents, buffers, cofactors, etc. may be included in a ligation reaction depending on the ligase being used.
In some embodiments, the first probe oligonucleotide and the second probe oligonucleotides are on a contiguous nucleic acid sequence. In some embodiments, the first probe oligonucleotide is on the 3′ end of the contiguous nucleic acid sequence. In some embodiments, the first probe oligonucleotide is on the 5′ end of the contiguous nucleic acid sequence. In some embodiments, the second probe oligonucleotide is on the 3′ end of the contiguous nucleic acid sequence. In some embodiments, the second probe oligonucleotide is on the 5′ end of the contiguous nucleic acid sequence.
In some embodiments, the method further includes hybridizing a third probe oligonucleotide to the first probe oligonucleotide and the second probe oligonucleotide such that the first probe oligonucleotide and the second probe oligonucleotide abut each other. In some embodiments, the third probe oligonucleotide comprises a sequence that is at least 80%, at least 85%, at least 90%, at least 95%, at least 96%, at least 97%, at least 98%, or at least 99% complementary to a portion of the first probe oligonucleotide that hybridizes to the third probe oligonucleotide. In some embodiments, the third probe oligonucleotide comprises a sequence that is 100% complementary to a portion of the first probe oligonucleotide that hybridizes to the third probe oligonucleotide. In some embodiments, the third probe oligonucleotide comprises a sequence that is at least 80%, at least 85%, at least 90%, at least 95%, at least 96%, at least 97%, at least 98%, or at least 99% complementary to a portion of the second probe oligonucleotide that hybridizes to the third probe oligonucleotide. In some embodiments, the third probe oligonucleotide comprises a sequence that is 100% complementary to a portion of the second probe oligonucleotide that hybridizes to the third probe oligonucleotide.
In some embodiments, a method for identifying a location of an analyte in a biological sample exposed to different permeabilization conditions includes (a) contacting the biological sample with a substrate, wherein the substrate comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises a capture domain; (b) contacting the biological sample with a first probe oligonucleotide and a second probe oligonucleotide, wherein the first probe oligonucleotide and the second probe oligonucleotide are substantially complementary to adjacent sequences of the analyte, and wherein the second probe oligonucleotide comprises a capture probe-binding domain that is capable of binding to a capture domain of the capture probe; (c) hybridizing the first probe oligonucleotide and the second probe oligonucleotide to adjacent sequences of the analyte; (d) coupling (e.g., ligating) the first probe oligonucleotide and the second probe oligonucleotide, thereby creating a connected probe (e.g., a connected probe (e.g., a ligation product)) that is substantially complementary to the analyte; (e) releasing the connected probe (e.g., a ligation product) from the analyte; (f) hybridizing the capture probe-binding domain of the connected probe (e.g., a ligation product) to the hybridization domain of the capture probe; (g) hybridizing a padlock oligonucleotide to the connected probe (e.g., a ligation product) bound to the capture domain (e.g., such that the padlock oligonucleotide is circularized), wherein the padlock oligonucleotide comprises: (i) a first sequence that is substantially complementary to a first portion of the connected probe (e.g., a ligation product), (ii) a backbone sequence, and (iii) a second sequence that is substantially complementary to a second portion of the connected probe (e.g., a ligation product); and (i) ligating and amplifying the circularized padlock oligonucleotide (e.g., using rolling circle amplification using the circularized padlock oligonucleotide as a template), thereby creating an amplified circularized padlock oligonucleotide, and using the amplified circularized padlock oligonucleotide to identify the location of the analyte in the biological sample.
In some embodiments, the method further includes amplifying the connected probe (e.g., a ligation product) prior to the releasing step. In some embodiments, the entire connected probe (e.g., a ligation product) is amplified. In some embodiments, only part of the connected probe (e.g., a ligation product) is amplified. In some embodiments, amplification is isothermal. In some embodiments, amplification is not isothermal. Amplification can be performed using any of the methods described herein such as, but not limited to, a strand-displacement amplification reaction, a rolling circle amplification reaction, a ligase chain reaction, a transcription-mediated amplification reaction, an isothermal amplification reaction, and/or a 10 loop-mediated amplification reaction. In some embodiments, amplifying the connected probe (e.g., a ligation product) creates an amplified connected probe (e.g., a ligation product) that includes (i) all or part of sequence of the connected probe (e.g., a ligation product) specifically bound to the capture domain, or a complement thereof, and (ii) all or a part of the sequence of the spatial barcode, or a complement thereof.
In some embodiments, the method further includes determining (i) all or a part of the sequence of the connected probe (e.g., a ligation product), or a complement thereof, and (ii) all or a part of the sequence of the spatial barcode, or a complement thereof. In some embodiments, the method further includes using the determined sequence of (i) and (ii) to determine the location and abundance of the analyte in the biological sample.
In some embodiments, after coupling (e.g., ligation) of the first and second probe oligonucleotides to create a ligation product, the connected probe (e.g., a ligation product) is released from the analyte. To release the connected probe (e.g., a ligation product), an endoribonuclease (e.g., RNase A, RNase C, RNase H, or RNase I) is used. An endoribonuclease such as RNase H specifically cleaves RNA in RNA:DNA hybrids. In some embodiments, the connected probe (e.g., a ligation product) is released enzymatically. In some embodiments, an endoribonuclease is used to release the probe from the analyte. In some embodiments, the endoribonuclease is one or more of RNase H. In some embodiments, the RNase H is RNase H1 or RNase H2.
In some embodiments, the releasing of the connected probe (e.g., a ligation product) includes contacting the biological sample with a reagent medium comprising a permeabilization agent and an agent for releasing the connected probe (e.g., a ligation product), thereby permeabilizing the biological sample and releasing the connected probe (e.g., a ligation product) from the analyte. In some embodiments, the agent for releasing the connected probe (e.g., a ligation product) comprises a nuclease. In some embodiments, the nuclease is an endonuclease. In some embodiments, the nuclease is an exonuclease. In some embodiments, the nuclease includes an RNase. In some embodiments, the RNase is selected from RNase A, RNase C, RNase H, or RNase I.
In some embodiments, the reagent medium comprises polyethylene glycol (PEG). In some embodiments, the PEG is from about PEG 2K to about PEG 16K. In some embodiments, the PEG is PEG 2K, 3K, 4K, 5K, 6K, 7K, 8K, 9K, 10K, 11K, 12K, 13K, 14K, 15K, or 16K. In some embodiments, the PEG is present at a concentration from about 2% to 25%, from about 4% to about 23%, from about 6% to about 21%, or from about 8% to about 20% (v/v).
In some embodiments, the reagent medium includes a wetting agent.
In some instances, after creation of the connected probe (e.g., a ligation product), the methods disclosed herein include simultaneous treatment of the biological sample with a permeabilization agent such as proteinase K (to permeabilize the biological sample) and a releasing agent such as an endonuclease such as RNase H (to release the connected probe (e.g., a ligation product) from the analyte). In some instances, the permeabilization step and releasing step occur at the same time. In some instances, the permeabilization step occurs before the releasing step. In some embodiments, the permeabilization agent comprises a protease. In some embodiments, the protease is selected from trypsin, pepsin, elastase, or Proteinase K. In some embodiments, the protease is an endopeptidase. Endopeptidases that can be used include but are not limited to trypsin, chymotrypsin, elastase, thermolysin, pepsin, clostripan, glutamyl endopeptidase (GluC), ArgC, peptidyl-asp endopeptidase (ApsN), endopeptidase LysC and endopeptidase LysN. In some embodiments, the endopeptidase is pepsin.
In some embodiments, the reagent medium further includes a detergent. In some embodiments, the detergent is selected from sodium dodecyl sulfate (SDS), sarkosyl, saponin, Triton X-100™, or Tween-20™. In some embodiments, the reagent medium includes less than 5 w/v % of a detergent selected from sodium dodecyl sulfate (SDS) and sarkosyl. In some embodiments, the reagent medium includes as least 5% w/v % of a detergent selected from SDS and sarkosyl. In some embodiments, the reagent medium does not include SDS or sarkosyl.
In some embodiments, the biological sample and the array are contacted with the reagent medium for about 1 to about 60 minutes (e.g., about 1 to about 55 minutes, about 1 to about 50 minutes, about 1 to about 45 minutes, about 1 to about 40 minutes, about 1 to about 35 minutes, about 1 to about 30 minutes, about 1 to about 25 minutes, about 1 to about 20 minutes, about 1 to about 15 minutes, about 1 to about 10 minutes, about 1 to about 5 minutes, about 5 to about 60 minutes, about 5 to about 55 minutes, about 5 to about 50 minutes, about 5 to about 45 minutes, about 5 to about 40 minutes, about 5 to about 35 minutes, about 5 to about 30 minutes, about 5 to about 25 minutes, about 5 to about 20 minutes, about 5 to about 15 minutes, about 5 to about 10 minutes, about 10 to about 60 minutes, about 10 to about 55 minutes, about 10 to about 50 minutes, about 10 to about 45 minutes, about 10 to about 40 minutes, about 10 to about 35 minutes, about 10 to about 30 minutes, about 10 to about 25 minutes, about 10 to about 20 minutes, about 10 to about 15 minutes, about 15 to about 60 minutes, about 15 to about 55 minutes, about 15 to about 50 minutes, about 15 to about 45 minutes, about 15 to about 40 minutes, about 15 to about 35 minutes, about 15 to about 30 minutes, about 15 to about 25 minutes, about 15 to about 20 minutes, about 20 to about 60 minutes, about 20 to about 55 minutes, about 20 to about 50 minutes, about 20 to about 45 minutes, about 20 to about 40 minutes, about 20 to about 35 minutes, about 20 to about 30 minutes, about 20 to about 25 minutes, about 25 to about 60 minutes, about 25 to about 55 minutes, about 25 to about 50 minutes, about 25 to about 45 minutes, about 25 to about 40 minutes, about 25 to about 35 minutes, about 25 to about 30 minutes, about 30 to about 60 minutes, about 30 to about 55 minutes, about 30 to about 50 minutes, about 30 to about 45 minutes, about 30 to about 40 minutes, about 30 to about 35 minutes, about 35 to about 60 minutes, about 35 to about 55 minutes, about 35 to about 50 minutes, about 35 to about 45 minutes, about 35 to about 40 minutes, about 40 to about 60 minutes, about 40 to about 55 minutes, about 40 to about 50 minutes, about 40 to about 45 minutes, about 45 to about 60 minutes, about 45 to about 55 minutes, about 45 to about 50 minutes, about 50 to about 60 minutes, about 50 to about 55 minutes, or about 55 to about 60 minutes). In some embodiments, the biological sample and the array are contacted with the reagent medium for about 30 minutes.
In some embodiments, the connected probe (e.g., a ligation product) includes a capture probe binding domain, which can hybridize to a capture probe (e.g., a capture probe immobilized, directly or indirectly, on a substrate). In some embodiments, the capture probe includes a spatial barcode and the capture domain. In some embodiments, the capture probe binding domain of the connected probe (e.g., a ligation product) specifically binds to the capture domain of the capture probe.
In some embodiments, methods provided herein include mounting a biological sample on a first substrate, then aligning the first substrate with a second substrate including an array, such that at least a portion of the biological sample is aligned with at least a portion of the array, wherein the array includes a plurality of capture probes. After hybridization of the connected probe (e.g., a ligation product) to the capture probe, downstream methods as disclosed herein can be performed.
In some embodiments, at least 50% of connected probes (e.g., a ligation products) released from the portion of the biological sample aligned with the portion of the array are captured by capture probes of the portion of the array. In some embodiments, at least 50%, at least 55%, at least 60%, at least 65%, at least 70%, at least 75%, at least 85%, at least 90%, at least 95%, at least 96%, at least 97%, at least 98%, at least 99%, or 100% of connected probe (e.g., a ligation products) are detected in spots directly under the biological sample.
In some embodiments, the capture probe includes a poly(T) sequence. In some embodiments, capture probe includes a sequence specific to the analyte. In some embodiments, the capture probe includes a functional domain. In some embodiments, the capture probe further includes one or more functional domains, a unique molecular identifier (UMI), a cleavage domain, and combinations thereof. In some embodiments, the capture probe binding domain includes a poly(A) sequence. In some embodiments, the capture probe binding domain includes a sequence complementary to a capture domain of a capture probe that detects a target analyte of interest. In some embodiments, the analyte is RNA. In some embodiments, the analyte is mRNA.
In some embodiments, the connected probe (e.g., a ligation product) (e.g., the analyte derived molecule) includes a capture probe binding domain, which can hybridize to a capture probe (e.g., a capture probe immobilized, directly or indirectly, on a substrate). Methods provided herein include contacting a biological sample with a substrate, wherein the capture probe is affixed to the substrate (e.g., immobilized to the substrate, directly or indirectly). After hybridization of the connected probe (e.g., a ligation product) to the capture probe, downstream methods as disclosed herein (e.g., sequencing, in situ analysis such as RCA) can be performed.
In some embodiments, the method further includes analyzing a different analyte in the biological sample. In some embodiments, the analysis of the different analyte includes (a) further contacting the biological sample with a plurality of analyte capture agents, wherein an analyte capture agent of the plurality of analyte capture agents includes an analyte binding moiety and a capture agent barcode domain, wherein the analyte binding moiety specifically binds to the different analyte, and wherein the capture agent barcode domain includes an analyte binding moiety barcode and an capture handle sequence that is complementary to a capture domain of a capture probe; and (b) hybridizing the analyte capture sequence to the capture domain.
An exemplary embodiment of a workflow for analysis of protein and RNA analytes is shown in
In some embodiments, following opening of the sandwich, the capture probes can be extended, sequencing libraries can be prepared and sequenced, and the results can be analyzed computationally.
In some embodiments, the method further includes determining (i) all or part of the sequence of the capture agent barcode domain; and (ii) all or a part of the sequence of the spatial barcode, or a complement thereof. In some embodiments, the method further includes using the determined sequence of (i), and (ii) to analyze the different analyte in the biological sample. In some embodiments, the releasing step further releases the capture agent barcode domain from the different analyte. In some embodiments, the different analyte is a protein analyte. In some embodiments, the protein analyte is an extracellular protein. In some embodiments, the protein analyte is an intracellular protein.
(c) Capturing Analytes for Spatial Detection Using Analyte Capture Agents
In some embodiments, the methods, compositions, devices, and systems provided herein utilize analyte capture agents for spatial detection. An “analyte capture agent” refers to a molecule that interacts with a target analyte (e.g., a protein) and with a capture probe. Such analyte capture agents can be used to identify the analyte. In some embodiments, the analyte capture agent can include an analyte binding moiety and a capture agent barcode domain. In some embodiments, the analyte capture agent includes a linker. In some embodiments, the linker is a cleavable linker. In some embodiments, the cleavable linker is a photo-cleavable linker, a UV-cleavable linker, or an enzyme cleavable linker.
An analyte binding moiety is a molecule capable of binding to a specific analyte. In some embodiments, the analyte binding moiety comprises an antibody or antibody fragment. In some embodiments, the analyte binding moiety comprises a polypeptide and/or an aptamer. In some embodiments, the analyte is a protein (e.g., a protein on a surface of a cell or an intracellular protein).
A capture agent barcode domain can include a capture handle sequence which can hybridize to at least a portion or an entirety of a capture domain of a capture probe. In some embodiments, the capture handle sequence is complementary to a portion or entirety of a capture domain of a capture probe. In some embodiments, the capture handle sequence includes a poly (A) tail. In some embodiments, the capture handle sequence includes a sequence capable of binding a poly (T) domain. In some embodiments, the capture agent barcode domain comprises an analyte binding moiety barcode and a capture handle sequence. The analyte binding moiety barcode refers to a barcode that is associated with or otherwise identifies the analyte binding moiety, and the capture handle sequence can hybridize to a capture probe. In some embodiments, the capture handle sequence specifically binds to the capture domain of the capture probe. Other embodiments of an analyte capture agent useful in spatial analyte detection are described herein.
Provided herein are methods for analyzing an analyte in a biological sample including (a) contacting the biological sample with a plurality of analyte capture agents, wherein an analyte capture agent of the plurality of analyte capture agents includes an analyte binding moiety and a capture agent barcode domain, wherein the analyte binding moiety specifically binds to the analyte, and wherein the capture agent barcode domain includes an analyte binding moiety barcode and an capture handle sequence; (b) contacting the biological sample with a reagent medium including an agent for releasing the capture agent barcode domain from the analyte binding moiety, thereby releasing the capture agent barcode domain from the analyte binding moiety; and (c) hybridizing the capture handle sequence to a capture domain of a capture probe, wherein the capture probe includes (i) a spatial barcode and (ii) a capture domain.
Also provided herein are methods for analyzing an analyte in a biological sample mounted on a first substrate including (a) contacting the biological sample with a plurality of analyte capture agents, wherein an analyte capture agent of the plurality of analyte capture agents includes an analyte binding moiety and a capture agent barcode domain, wherein the analyte binding moiety specifically binds to the analyte, and wherein the capture agent barcode domain includes an analyte binding moiety barcode and an capture handle sequence; (b) aligning the first substrate with a second substrate comprising an array, such that at least a portion of the biological sample is aligned with at least a portion of the array, wherein the array includes a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes (i) a spatial barcode and (ii) a capture domain; (c) when the biological sample is aligned with at least a portion of the array, (i) releasing the capture agent barcode domain from the analyte and (ii) passively or actively migrating the capture agent barcode domain from the biological sample to the array; and (d) coupling the capture handle sequence to the capture domain.
Also provided herein are methods for analyzing an analyte in a biological sample mounted on a first substrate including (a) contacting the biological sample with a plurality of analyte capture agents, wherein an analyte capture agent of the plurality of analyte capture agents includes an analyte binding moiety and a capture agent barcode domain, wherein the analyte binding moiety specifically binds to the analyte, and wherein the capture agent barcode domain includes an analyte binding moiety barcode and an capture handle sequence; (b) aligning the first substrate with a second substrate comprising an array, such that at least a portion of the biological sample is aligned with at least a portion of the array, wherein the array includes a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes (i) a spatial barcode and (ii) a capture domain; (c) when the biological sample is aligned with at least a portion of the array, (i) releasing the capture agent barcode domain from the analyte and (ii) passively or actively migrating the capture agent barcode domain from the biological sample to the array; and (d) hybridizing the capture handle sequence to the capture domain.
In some embodiments, the process of transferring the connected probe (e.g., a ligation product) from the first substrate to the second substrate is referred to as a “sandwich process”. The sandwich process is described above and in PCT Patent Application Publication No. WO 2020/123320, which is incorporated by reference in its entirety.
In some embodiments, the method further includes determining (i) all or a part of the capture agent barcode domain, or a complement thereof and (ii) all or a part of the sequence of the spatial barcode, or a complement thereof. In some embodiments, the method further includes using the determined sequence of (i) and (ii) to determine the location and abundance of the analyte in the biological sample.
In some embodiments, an analyte capture agent is introduced to a biological sample, wherein the analyte binding moiety specifically binds to a target analyte, and then the biological sample can be treated to release the capture agent barcode domain from the biological sample. In some embodiments, the capture agent barcode domain can then migrate and bind to a capture domain of a capture probe, and the capture agent barcode domain can be extended to generate a spatial barcode complement at the end of the capture agent barcode domain. In some embodiments, the spatially-tagged capture agent barcode domain can be denatured from the capture probe, and analyzed using methods described herein.
In some embodiments, the releasing includes contacting the biological sample and the array with a reagent medium including a nuclease. In some embodiments, the nuclease includes an RNase. In some embodiments, the RNase is selected from RNase A, RNase C, RNase H, and RNase I. In some embodiments, the reagent medium further includes a permeabilization agent. In some embodiments, the releasing further includes simultaneously permeabilizing the biological sample and releasing the capture agent barcode domain from the analyte. In some embodiments, the permeabilization agent further includes a protease. In some embodiments, the protease is selected from trypsin, pepsin, elastase, or Proteinase K.
In some embodiments, the capture agent barcode domain is released from the analyte binding moiety by using a different stimulus that can include, but is not limited to, a proteinase (e.g., Proteinase K), an RNase, and UV light.
In some embodiments, the reagent medium further includes a detergent. In some embodiments, the detergent is selected from sodium dodecyl sulfate (SDS), sarkosyl, saponin, Triton X-100™, or Tween-20™. In some embodiments, the reagent medium includes less than 5 w/v % of a detergent selected from sodium dodecyl sulfate (SDS) and sarkosyl. In some embodiments, the reagent medium includes as least 5% w/v % of a detergent selected from SDS and sarkosyl. In some embodiments, the reagent medium does not include SDS or sarkosyl.
In some embodiments, the biological sample and the array are contacted with the reagent medium for about 1 to about 60 minutes (e.g., about 1 to about 55 minutes, about 1 to about 50 minutes, about 1 to about 45 minutes, about 1 to about 40 minutes, about 1 to about 35 minutes, about 1 to about 30 minutes, about 1 to about 25 minutes, about 1 to about 20 minutes, about 1 to about 15 minutes, about 1 to about 10 minutes, about 1 to about 5 minutes, about 5 to about 60 minutes, about 5 to about 55 minutes, about 5 to about 50 minutes, about 5 to about 45 minutes, about 5 to about 40 minutes, about 5 to about 35 minutes, about 5 to about 30 minutes, about 5 to about 25 minutes, about 5 to about 20 minutes, about 5 to about 15 minutes, about 5 to about 10 minutes, about 10 to about 60 minutes, about 10 to about 55 minutes, about 10 to about 50 minutes, about 10 to about 45 minutes, about 10 to about 40 minutes, about 10 to about 35 minutes, about 10 to about 30 minutes, about 10 to about 25 minutes, about 10 to about 20 minutes, about 10 to about 15 minutes, about 15 to about 60 minutes, about 15 to about 55 minutes, about 15 to about 50 minutes, about 15 to about 45 minutes, about 15 to about 40 minutes, about 15 to about 35 minutes, about 15 to about 30 minutes, about 15 to about 25 minutes, about 15 to about 20 minutes, about 20 to about 60 minutes, about 20 to about 55 minutes, about 20 to about 50 minutes, about 20 to about 45 minutes, about 20 to about 40 minutes, about 20 to about 35 minutes, about 20 to about 30 minutes, about 20 to about 25 minutes, about 25 to about 60 minutes, about 25 to about 55 minutes, about 25 to about 50 minutes, about 25 to about 45 minutes, about 25 to about 40 minutes, about 25 to about 35 minutes, about 25 to about 30 minutes, about 30 to about 60 minutes, about 30 to about 55 minutes, about 30 to about 50 minutes, about 30 to about 45 minutes, about 30 to about 40 minutes, about 30 to about 35 minutes, about 35 to about 60 minutes, about 35 to about 55 minutes, about 35 to about 50 minutes, about 35 to about 45 minutes, about 35 to about 40 minutes, about 40 to about 60 minutes, about 40 to about 55 minutes, about 40 to about 50 minutes, about 40 to about 45 minutes, about 45 to about 60 minutes, about 45 to about 55 minutes, about 45 to about 50 minutes, about 50 to about 60 minutes, about 50 to about 55 minutes, or about 55 to about 60 minutes). In some embodiments, the biological sample and the array are contacted with the reagent medium for about 30 minutes.
Also provided herein are methods further including analyzing a different analyte in the biological sample. In some embodiments, the analysis of the different analyte includes (a) hybridizing a first probe oligonucleotide and a second probe oligonucleotide to the different analyte, wherein the first probe oligonucleotide and the second probe oligonucleotide each comprise a sequence that is substantially complementary to adjacent sequences of the different analyte, and wherein the second probe oligonucleotide comprises a capture probe binding domain; (b) ligating the first probe oligonucleotide and the second probe oligonucleotide, thereby generating a connected probe (e.g., a ligation product) comprising the capture probe binding domain; and (c) hybridizing the capture probe binding domain of the connected probe (e.g., a ligation product) to the capture domain.
In some embodiments, the method further includes determining (i) all or part of the sequence of the connected probe (e.g., a ligation product), or a complement thereof, and (ii) all or a part of the sequence of the spatial barcode, or a complement thereof. In some embodiments, the method further includes using the determined sequence of (i), and (ii) to analyze the different analyte in the biological sample. In some embodiments, the releasing step further releases the connected probe (e.g., a ligation product) from the different analyte. In some embodiments, the different analyte is RNA. In some embodiments, the different analyte is mRNA.
In some embodiments, the capture probe comprises a poly(T) sequence. In some embodiments, the capture probe comprises a sequence complementary to the capture handle sequence. In some embodiments, the capture probe comprises a functional domain. In some embodiments, the capture probe further comprises one or more functional domains, a unique molecular identifier (UMI), a cleavage domain, and combinations thereof.
In some embodiments, the biological sample is a tissue sample. In some embodiments, the tissue sample is a tissue section. In some embodiments, the tissue sample is a fixed tissue sample. In some embodiments, the fixed tissue sample is a formalin fixed paraffin embedded (FFPE) tissue sample. In some embodiments, the FFPE tissue is deparaffinized and decrosslinked prior to step (a) of any one of the methods provided herein. In some embodiments, the fixed tissue sample is a formalin fixed paraffin embedded cell pellet. In some embodiments, the tissue sample is a fresh tissue sample or a frozen tissue sample. In some embodiments, the tissue sample is fixed and stained prior to step (a) of any one of the methods provided herein.
In some instances, RTL is performed between two oligonucleotides that each are affixed to an analyte binding moiety (i.e., a protein-binding moiety). Generally, the methods of RTL in this setting is as follows. In some embodiments, provided herein is a method of determining a location of at least one analyte in a biological sample including: (a) hybridizing a first analyte-binding moiety to a first analyte in the biological sample, wherein the first analyte-binding moiety is bound to a first oligonucleotide, wherein the first oligonucleotide comprises: (i) a functional sequence; (ii) a first barcode; and (iii) a first bridge sequence; (b) hybridizing a second analyte-binding moiety to a second analyte in the biological sample, wherein the second analyte-binding moiety is bound to a second oligonucleotide; wherein the second oligonucleotide comprises: (i) capture probe binding domain sequence, (ii) a second barcode; and (ii) a second bridge sequence; (c) contacting the biological sample with a third oligonucleotide; (d) hybridizing the third oligonucleotide to the first bridge sequence of the first oligonucleotide and second bridge sequence of the second oligonucleotide; (e) ligating the first oligonucleotide and the second oligonucleotide, creating a connected probe (e.g., a ligation product); (f) contacting the biological sample with a substrate, wherein a capture probe is affixed to the substrate, wherein the capture probe comprises a spatial barcode and the capture domain; and (g) allowing the capture probe binding domain sequence of the second oligonucleotide to specifically bind to the capture domain. In some instances, the connected probe (e.g., a ligation product) is cleaved from the analyte biding moieties. In some instances, two analytes (e.g., two different proteins) in close proximity in a biological sample are detected by a first analyte-binding moiety and a second analyte-binding moiety, respectively. In some embodiments, a first analyte-binding moiety and/or the second analyte-binding moiety is an analyte capture agent (e.g., any of the exemplary analyte capture agents described herein). In some embodiments, the first analyte-binding moiety and/or the second analyte-binding moiety is a first protein. In some embodiments, the first analyte-binding moiety and/or the second analyte-binding moiety is an antibody. For example, the antibody can include, without limitation, a monoclonal antibody, recombinant antibody, synthetic antibody, a single domain antibody, a single-chain variable fragment (scFv), and or an antigen-binding fragment (Fab). In some embodiments, the first analyte-binding moiety binds to a cell surface analyte (e.g., any of the exemplary cell surface analytes described herein). In some embodiments, binding of the analyte is performed metabolically. In some embodiments, binding of the analyte is performed enzymatically. In some embodiments, the methods include a secondary antibody that binds to a primary antibody, enhancing its detection.
In some embodiments, the first analyte-binding moiety and the second analyte-binding moiety each bind to the same analyte. In some embodiments, the first analyte-binding moiety and/or second analyte-binding moiety each bind to a different analyte. For example, in some embodiments, the first analyte-binding moiety binds to a first polypeptide and the second analyte-binding moiety binds to a second polypeptide.
In some embodiments of any of the methods of determining a location of at least one analyte in a biological sample, a first and/or a second oligonucleotide are bound (e.g., conjugated or otherwise attached using any of the methods described herein) to a first analyte-binding moiety and/or a second analyte-binding moiety, respectively.
In some embodiments of any of the methods of determining a location of at least one analyte in a biological sample as described herein, a second oligonucleotide is bound (e.g., conjugated or otherwise attached using any of the methods described herein) to a second analyte-binding moiety. For example, the second oligonucleotide can be covalently linked to the second analyte-binding moiety. In some embodiments, the second oligonucleotide is bound to the second analyte-binding moiety via its 5′ end. In some embodiments, the second oligonucleotide includes a free 3′ end. In some embodiments the second oligonucleotide is bound to the second analyte-binding moiety via its 3′ end. In some embodiments, the second oligonucleotide includes a free 5′ end.
In some embodiments, the oligonucleotides are bound to the first and/or second analyte-binding moieties via a linker (e.g., any of the exemplary linkers described herein). In some embodiments, the linker is a cleavable linker. In some embodiment, the linker is a linker with photo-sensitive chemical bonds (e.g., photo-cleavable linkers). In some embodiments, the linker is a cleavable linker that can undergo induced dissociation.
In some embodiments, the oligonucleotides are bound (e.g., attached via any of the methods described herein) to an analyte-binding domain via a 5′ end.
In some embodiments, a barcode is used to identify the analyte-binding moiety to which it is bound. The barcode can be any of the exemplary barcodes described herein. In some embodiments, the first and/or second oligonucleotide include a capture probe binding domain sequence. For example, a capture probe binding domain sequence can be a poly(A) sequence when the capture domain sequence is a poly(T) sequence.
In some embodiments, a third oligonucleotide (e.g., a splint oligonucleotide) hybridizes to both the first and second oligonucleotides and enables ligation of the first oligonucleotide and the second oligonucleotide. In some embodiments, a ligase is used. In some aspects, the ligase includes a DNA ligase. In some aspects, the ligase includes a RNA ligase. In some aspects, the ligase includes T4 DNA ligase. In some embodiments, the ligase is a SplintR ligase.
(d) Sandwich Processes
In some embodiments, one or more analytes from the biological sample are released from the biological sample and migrate to a substrate comprising an array of capture probes for attachment to the capture probes of the array. In some embodiments, the release and migration of the analytes to the substrate comprising the array of capture probes occurs in a manner that preserves the original spatial context of the analytes in the biological sample. In some embodiments, the biological sample is mounted on a first substrate and the substrate comprising the array of capture probes is a second substrate. In some embodiments, the alignment of the first substrate and the second substrate is facilitated by a sandwiching process. Accordingly, described herein are methods, compositions, devices, and systems for sandwiching together the first substrate as described herein with a second substrate having an array with capture probes.
In some embodiments, the separation distance 2307 between first and second substrates is maintained between 2 microns and 1 mm (e.g., between 2 microns and 800 microns, between 2 microns and 700 microns, between 2 microns and 600 microns, between 2 microns and 500 microns, between 2 microns and 400 microns, between 2 microns and 300 microns, between 2 microns and 200 microns, between 2 microns and 100 microns, between 2 microns and 25 microns, between 2 microns and 10 microns), measured in a direction orthogonal to the surface of first substrate that supports sample. In some embodiments, the separation distance 2307 between first and second substrates is less than 50 microns. In some instances, the distance is 2 microns. In some instances, the distance is 2.5 microns. In some instances, the distance is about 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, or 25 microns. In some embodiments, second substrate is placed in direct contact with the sample on the first substrate ensuring no diffusive spatial resolution losses. In some embodiments, the separation distance is measured in a direction orthogonal to a surface of the first substrate that supports the biological sample.
In some embodiments, the sandwiching process may be facilitated by a device, sample holder, sample handling apparatus, or system described in, e.g., US. Patent Application Pub. No. 20210189475, PCT/US2021/036788, or PCT/US2021/050931.
In some embodiments, the first and second substrates are placed in a substrate holder (e.g., an array alignment device) configured to align the biological sample and the array. In some embodiments, the device comprises a sample holder. In some embodiments, the sample holder includes a first member and a second member that receive a first substrate and a second substrate, respectively. The device can include an alignment mechanism that is connected to at least one of the members and aligns the first and second members. Thus, the devices of the disclosure can advantageously align the first substrate and the second substrate and any samples, barcoded probes, or permeabilization reagents that may be on the surface of the first and second substrates.
In some embodiments, the sandwiching process comprises: mounting the first substrate on a first member of a support device, the first member configured to retain the first substrate; mounting the second substrate on a second member of the support device, the second member configured to retain the second substrate, applying a reagent medium to the first substrate and/or the second substrate, the reagent medium comprising a permeabilization agent, operating an alignment mechanism of the support device to move the first member and/or the second member such that a portion of the biological sample is aligned (e.g., vertically aligned) with a portion of the array of capture probes and within a threshold distance of the array of capture probes, and such that the portion of the biological sample and the capture probe contact the reagent medium, wherein the permeabilization agent releases the analyte from the biological sample.
In some embodiments of a sample holder, the sample holder can include a first member including a first retaining mechanism configured to retain a first substrate comprising a sample. The first retaining mechanism can be configured to retain the first substrate disposed in a first plane. The sample holder can further include a second member including a second retaining mechanism configured to retain a second substrate disposed in a second plane. The sample holder can further includes an alignment mechanism connected to one or both of the first member and the second member. The alignment mechanism can be configured to align the first and second members along the first plane and/or the second plane such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned and within a threshold distance along an axis orthogonal to the second plane. The alignment mechanism may be configured to move the second member along the axis orthogonal to the second plane and/or move the first member along an axis orthogonal to the first plane.
In some embodiments, the alignment mechanism includes a linear actuator. In some embodiments, the alignment mechanism includes one or more of a moving plate, a bushing, a shoulder screw, a motor bracket, and a linear actuator. The moving plate may be coupled to the first member or the second member. The alignment mechanism may, in some cases, include a first moving plate coupled to the first member and a second moving plate coupled to the second member. In some embodiments, the linear actuator is configured to move the second member along an axis orthogonal to the plane of the first member and/or the second member. For example, the moving plate may be coupled to the second member and adjust the separation distance along a z axis (e.g., orthogonal to the second substrate) by moving the moving plate up in a superior direction toward the first substrate. In some embodiments, the linear actuator is configured to move the first member along an axis orthogonal to the plane of the first member and/or the second member. The movement of the moving plate may be accomplished by the linear actuator configured to move the first member and/or the second member at a velocity. The velocity may be controlled by a controller communicatively coupled to the linear actuator. In some embodiments, the linear actuator is configured to move the first member, the second member, or both the first member and the second member at a velocity of at least 0.1 mm/sec (e.g., at least 0.1 mm/sec to 2 mm/sec). In some aspects, the velocity may be selected to reduce or minimize bubble generation or trapping within the reagent medium. In some embodiments, the linear actuator is configured to move the first member, the second member, or both the first member and the second member with an amount of force of at least 0.1 lbs (e.g., between 0.1-4.0 pounds of force).
In some aspects, the velocity of the moving plate (e.g., closing the sandwich) may affect bubble generation or trapping within the reagent medium. It may be advantageous to minimize bubble generation or trapping within the reagent medium during the “sandwiching” process, as bubbles can interfere with the migration of analytes through the reagent medium to the array. In some embodiments, the closing speed is selected to minimize bubble generation or trapping within the reagent medium. In some embodiments, the closing speed is selected to reduce the time it takes the flow front of the reagent medium from an initial point of contact with the first and second substrate to sweep across the sandwich area (also referred to herein as “closing time”). In some embodiments, the closing speed is selected to reduce the closing time to less than about 1100 milliseconds (ms). In some embodiments, the closing speed is selected to reduce the closing time to less than about 1000 ms. In some embodiments, the closing speed is selected to reduce the closing time to less than about 900 ms. In some embodiments, the closing speed is selected to reduce the closing time to less than about 750 ms. In some embodiments, the closing speed is selected to reduce the closing time to less than about 600 ms. In some embodiments, the closing speed is selected to reduce the closing time to about 550 ms or less. In some embodiments, the closing speed is selected to reduce the closing time to about 370 ms or less. In some embodiments, the closing speed is selected to reduce the closing time to about 200 ms or less. In some embodiments, the closing speed is selected to reduce the closing time to about 150 ms or less.
In some aspects, when the sample handling apparatus 3700 is in an open position (as in
In some aspects, after the first member 3704 closes over the second member 3710, an alignment mechanism (not shown) of the sample handling apparatus 3700 may actuate the first member 3704 and/or the second member 3710 to form the sandwich configuration for the permeabilization step (e.g., bringing the first substrate 3706 and the second substrate 3712 closer to each other and within a threshold distance for the sandwich configuration). The alignment mechanism may be configured to control a speed, an angle, or the like of the sandwich configuration.
In some embodiments, the biological sample (e.g., tissue sample 2302 of
In some embodiments, during the permeabilization step, the image capture device 3720 may capture images of the overlap area between the tissue 2302 and the capture probes 2306. If more than one first substrates 3706 and/or second substrates 3712 are present within the sample handling apparatus 3700, the image capture device 3720 may be configured to capture one or more images of one or more overlap areas. Further details on support devices, sample holders, sample handling apparatuses, or systems for implementing a sandwiching process are described in, e.g., PCT Publ. No. WO 2021/0189475 and PCT/US2021/050931, each of which are incorporated by reference in their entirety.
Analytes within a biological sample may be released through disruption (e.g., permeabilization, digestion, etc.) of the biological sample or may be released without disruption. Various methods of permeabilizing (e.g., any of the permeabilization reagents and/or conditions described herein) a biological sample are described herein, including for example including the use of various detergents, buffers, proteases, and/or nucleases for different periods of time and at various temperatures. Additionally, various methods of delivering fluids (e.g., a buffer, a permeabilization solution) to a biological sample are described herein including the use of a substrate holder (e.g., for sandwich assembly, sandwich configuration, as described herein)
Provided herein are methods for delivering a fluid to a biological sample disposed on an area of a first substrate and an array disposed on a second substrate.
In some embodiments and with reference to
In some aspects, it may be possible to reduce or eliminate bubble formation between the slides using a variety of filling methods and/or closing methods.
Workflows described herein may include contacting a drop of the reagent medium (e.g., liquid reagent medium, e.g., a permeabilization solution 2305) disposed on a first substrate or a second substrate with at least a portion of the second substrate or first substrate, respectively. In some embodiments, the contacting comprises bringing the two substrates into proximity such that the sample on the first substrate is aligned with the barcode array of capture probes on the second substrate.
In some embodiments, the drop includes permeabilization reagents (e.g., any of the permeabilization reagents described herein). In some embodiments, the rate of permeabilization of the biological sample is modulated by delivering the permeabilization reagents (e.g., a fluid containing permeabilization reagents) at various temperatures.
In the example sandwich maker workflows described herein, the reagent medium (e.g., liquid reagent medium, permeabilization solution 2305) may fill a gap (e.g., the gap 2307) between a first substrate (e.g., slide 2303) and a second substrate (e.g., slide 2304 with barcoded capture probes 2306) to warrant or enable transfer of target molecules with spatial information. Described herein are examples of filling methods that may suppress bubble formation and suppress undesirable flow of transcripts and/or target molecules or analytes. Robust fluidics in the sandwich making described herein may preserve spatial information by reducing or preventing deflection of molecules as they move from the tissue slide to the capture slide.
In some embodiments, the one or more spacers 3810 is configured to maintain a separation distance between first and second substrates that is between about 2 microns and 1 mm (e.g., between about 2 microns and 800 microns, between about 2 microns and 700 microns, between about 2 microns and 600 microns, between about 2 microns and 500 microns, between about 2 microns and 400 microns, between about 2 microns and 300 microns, between about 2 microns and 200 microns, between about 2 microns and 100 microns, between about 2 microns and 25 microns, or between about 2 microns and 10 microns), measured in a direction orthogonal to the surface of first substrate that supports the sample. In some instances, the separation distance is about 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, or 25 microns. In some embodiments, the separation distance is less than 50 microns. In some embodiments, the separation distance is less than 25 microns. In some embodiments, the separation distance is less than 20 microns. The separation distance may include a distance of at least 2 μm.
In some instances, the first substrate and the second substrate are arranged in an angled sandwich assembly as described herein. For example, during the sandwiching of the two substrates (e.g., the slide 3803 and the slide 3804), an angled closure workflow may be used to suppress or eliminate bubble formation.
In some embodiments, the first substrate and/or the second substrate are further moved to achieve an approximately parallel arrangement of the first substrate and the second substrate.
It should be understood that while
As shown in
In some cases, another base (not shown) supporting substrate 4006 (e.g., a first member or a second member of a sample holder disclosed herein) may be configured to retain substrate 1706 at the angle substantially parallel to the base 4004.
As shown in
At step 4110, the dropped side of the angled substrate 4106 contacts the drop of reagent medium 4105 first. The contact of the substrate 4106 with the drop of reagent medium 4105 may form a linear or low curvature flow front that fills uniformly with the slides closed.
At step 4115, the substrate 4106 is further lowered toward the substrate 4112 (or the substrate 4112 is raised up toward the substrate 4106) and the dropped side of the substrate 4106 may contact and may urge the liquid reagent toward the side opposite the dropped side and creating a linear or low curvature flow front that may prevent or reduce bubble trapping between the slides. As further shown, the spring 4115 may begin to compress as the substrate 4106 is lowered.
At step 4120, the drop of reagent medium 4105 fills the gap (e.g., the gap 2307 as shown in
In some aspects, an angled closure workflow disclosed herein (e.g., FOREMAN HUB
Further details on angled closure workflows, and devices and systems for implementing an angled closure workflow, are described in PCT/US2021/036788 and PCT/US2021/050931, which are hereby incorporated by reference in their entirety. Additional configurations for reducing or eliminating bubble formation, and/or for reducing unwanted fluid flow, are described in PCT/US2021/036788, which is hereby incorporated by reference in its entirety.
In some embodiments, the reagent medium comprises a permeabilization agent. Suitable agents for this purpose include, but are not limited to, organic solvents (e.g., acetone, ethanol, and methanol), cross-linking agents (e.g., paraformaldehyde), detergents (e.g., saponin, Triton X-100™, Tween-20™, or sodium dodecyl sulfate (SDS)), and enzymes (e.g., trypsin, proteases (e.g., proteinase K). In some embodiments, the detergent is an anionic detergent (e.g., SDS or N-lauroylsarcosine sodium salt solution). Exemplary permeabilization reagents are described in in PCT Patent Application Publication No. WO 2020/123320, which is incorporated by reference in its entirety.
In some embodiments, the reagent medium comprises a lysis reagent. Lysis solutions can include ionic surfactants such as, for example, sarkosyl and sodium dodecyl sulfate (SDS). More generally, chemical lysis agents can include, without limitation, organic solvents, chelating agents, detergents, surfactants, and chaotropic agents. Exemplary lysis reagents are described in PCT Patent Application Publication No. WO 2020/123320, which is incorporated by reference in its entirety.
In some embodiments, the reagent medium comprises a protease. Exemplary proteases include, e.g., pepsin, trypsin, pepsin, elastase, and proteinase K. Exemplary proteases are described in PCT Patent Application Publication No. WO 2020/123320, which is incorporated by reference in its entirety.
In some embodiments, the reagent medium comprises a detergent. Exemplary detergents include sodium dodecyl sulfate (SDS), sarkosyl, saponin, Triton X-100™, and Tween-20™. Exemplary detergents are described in PCT Patent Application Publication No. WO 2020/123320, which is incorporated by reference in its entirety.
In some embodiments, the reagent medium comprises a nuclease. In some embodiments, the nuclease comprises am RNase. In some embodiments, the RNase is selected from RNase A, RNase C, RNase H, and RNase I. In some embodiments, the reagent medium comprises one or more of sodium dodecyl sulfate (SDS), proteinase K, pepsin, N-lauroylsarcosine, RNAse, and a sodium salt thereof.
The sample holder is compatible with a variety of different schemes for contacting the aligned portions of the biological sample and array with the reagent medium to promote analyte capture. In some embodiments, the reagent medium is deposited directly on the second substrate (e.g., forming a reagent medium that includes the permeabilization reagent and the feature array), and/or directly on the first substrate. In some embodiments, the reagent medium is deposited on the first and/or second substrate, and then the first and second substrates aligned in the sandwich configuration such that the reagent medium contacts the aligned portions of the biological sample and array. In some embodiments, the reagent medium is introduced into the gap 2307 while the first and second substrates are aligned in the sandwich configuration.
In certain embodiments a dried permeabilization reagent is applied or formed as a layer on the first substrate or the second substrate or both prior to contacting the sample and the feature array. For example, a reagent can be deposited in solution on the first substrate or the second substrate or both and then dried. Drying methods include, but are not limited to spin coating a thin solution of the reagent and then evaporating a solvent included in the reagent or the reagent itself. Alternatively, in other embodiments, the reagent can be applied in dried form directly onto the first substrate or the second substrate or both. In some embodiments, the coating process can be done in advance of the analytical workflow and the first substrate and the second substrate can be stored pre-coated. Alternatively, the coating process can be done as part of the analytical workflow. In some embodiments, the reagent is a permeabilization reagent. In some embodiments, the reagent is a permeabilization enzyme, a buffer, a detergent, or any combination thereof. In some embodiments, the permeabilization enzyme is pepsin. In some embodiments, the reagent is a dried reagent (e.g., a reagent free from moisture or liquid). In some instances, the substrate that includes the sample (e.g., a histological tissue section) is hydrated. The sample can be hydrated by contacting the sample with a reagent medium, e.g., a buffer that does not include a permeabilization reagent. In some embodiments, the hydration is performed while the first and second substrates are aligned in a sandwich configuration.
In some instances, the aligned portions of the biological sample and the array are in contact with the reagent medium 2305 for about 1 minute. In some instances, the aligned portions of the biological sample and the array are in contact with the reagent medium 2305 for about 5 minutes. In some instances, the aligned portions of the biological sample and the array are in contact with the reagent medium 1205 in the gap 1207 for about 1 minute, about 5 minutes, about 10 minutes, about 12 minutes, about 15 minutes, about 18 minutes, about 20 minutes, about 25 minutes, about 30 minutes, about 36 minutes, about 45 minutes, or about an hour. In some instances, the aligned portions of the biological sample and the array are in contact with the reagent medium 2305 for about 1-60 minutes. In some instances, the aligned portions of the biological sample and the array are in contact with the reagent medium 2305 for about 30 minutes.
In some embodiments, following initial contact between sample and a permeabilization agent, the permeabilization agent can be removed from contact with sample (e.g., by opening sample holder) before complete permeabilization of sample. For example, in some embodiments, only a portion of sample is permeabilized, and only a portion of the analytes in sample may be captured by feature array. In some instances, the reduced amount of analyte captured and available for detection can be offset by the reduction in lateral diffusion that results from incomplete permeabilization of sample. In general, the spatial resolution of the assay is determined by the extent of analyte diffusion in the transverse direction (i.e., orthogonal to the normal direction to the surface of sample). The larger the distance between the sample on the first substrate and the feature array on the second substrate, the greater the extent of diffusion in the transverse direction, and the concomitant loss of resolution. Analytes liberated from a portion of the sample closest to the feature array have a shorter diffusion path, and therefore do not diffuse as far laterally as analytes from portions of the sample farthest from the feature array. As a result, in some instances, incomplete permeabilization of the sample (by reducing the contact interval between the permeabilization agent and the sample) can be used to maintain adequate spatial resolution in the assay.
In some instances, the device is configured to control a temperature of the first and second substrates. In some embodiments, the temperature of the first and second members is lowered to a first temperature that is below room temperature (e.g., 25 degrees Celsius) (e.g., 20 degrees Celsius or lower, 15 degrees Celsius or lower, 10 degrees Celsius or lower, 5 degrees Celsius or lower, 4 degrees Celsius or lower, 3 degrees Celsius or lower, 2 degrees Celsius or lower, 1 degree Celsius or lower, 0 degrees Celsius or lower, −1 degrees Celsius or lower, −5 degrees Celsius or lower). In some embodiments, the device includes a temperature control system (e.g., heating and cooling conducting coils) to control the temperature of the sample holder. Alternatively, in other embodiments, the temperature of the sample holder is controlled externally (e.g., via refrigeration or a hotplate). In a first step, the second member, set to or at the first temperature, contacts the first substrate, and the first member, set to or at the first temperature, contacts the second substrate, thereby lowering the temperature of the first substrate and the second substrate to a second temperature. In some embodiments, the second temperature is equivalent to the first temperature. In some embodiments, the first temperature is lower than room temperature (e.g., 25 degrees Celsius). In some embodiments, the second temperature ranges from about −10 degrees Celsius to about 4 degrees Celsius. In some embodiments, the second temperature is below room temperature (e.g., 25 degrees Celsius) (e.g., 20 degrees Celsius or lower, 15 degrees Celsius or lower, 10 degrees Celsius or lower, 5 degrees Celsius or lower, 4 degrees Celsius or lower, 3 degrees Celsius or lower, 2 degrees Celsius or lower, 1 degree Celsius or lower, 0 degrees Celsius or lower, −1 degrees Celsius or lower, −5 degrees Celsius or lower).
In an exemplary embodiment, the second substrate is contacted with the permeabilization reagent. In some embodiments, the permeabilization reagent is dried. In some embodiments, the permeabilization reagent is a gel or a liquid. Also in the exemplary embodiment, the biological sample is contacted with buffer. Both the first and second substrates are placed at lower temperature to slow down diffusion and permeabilization efficiency. Alternatively, in some embodiments, the sample can be contacted directly with a liquid permeabilization reagent without inducing an unwanted initiation of permeabilization due to the substrates being at the second temperature. In some embodiments, the low temperature slows down or prevents the initiation of permeabilization. In a second step, keeping the sample holder and substrates at a cold temperature (e.g., at the first or second temperatures) continues to slow down or prevent the permeabilization of the sample. In a third step, the sample holder (and consequently the first and second substrates) is heated up to initiate permeabilization. In some embodiments, the sample holder is heated up to a third temperature. In some embodiments, the third temperature is above room temperature (e.g., 25 degrees Celsius) (e.g., 30 degrees Celsius or higher, 35 degrees Celsius or higher, 40 degrees Celsius or higher, 50 degrees Celsius or higher, 60 degrees Celsius or higher). In some embodiments, analytes that are released from the permeabilized tissue of the sample diffuse to the surface of the second substrate and are captured on the array (e.g., barcoded probes) of the second substrate. In a fourth step, the first substrate and the second substrate are separated (e.g., pulled apart) and temperature control is stopped.
In some embodiments, where either the first substrate or substrate second (or both) includes wells, a permeabilization solution can be introduced into some or all of the wells, and then the sample and the feature array can be contacted by closing the sample holder to permeabilize the sample. In certain embodiments, a permeabilization solution can be soaked into a hydrogel film that is applied directly to the sample, and/or soaked into features (e.g., beads) of the array. When the first and second substrates are aligned in the sandwich configuration, the permeabilization solution promotes migration of analytes from the sample to the array.
In certain embodiments, different permeabilization agents or different concentrations of permeabilization agents can be infused into array features (e.g., beads) or into a hydrogel layer as described above. By locally varying the nature of the permeabilization reagent(s), the process of analyte capture from the sample can be spatially adjusted.
In some instances, migration of the analyte from the biological sample to the second substrate is passive (e.g., via diffusion). Alternatively, in certain embodiments, migration of the analyte from the biological sample is performed actively (e.g., electrophoretic, by applying an electric field to promote migration). In some instances, first and second substrates can include a conductive epoxy. Electrical wires from a power supply can connect to the conductive epoxy, thereby allowing a user to apply a current and generate an electric field between the first and second substrates. In some embodiments, electrophoretic migration results in higher analyte capture efficiency and better spatial fidelity of captured analytes (e.g., on a feature array) than random diffusion onto matched substrates without the application of an electric field (e.g., via manual alignment of the two substrates). Exemplary methods of electrophoretic migration, including those illustrated in
Loss of spatial resolution can occur when analytes migrate from the sample to the feature array and a component of diffusive migration occurs in the transverse (e.g., lateral) direction, approximately parallel to the surface of the first substrate on which the sample is mounted. To address this loss of resolution, in some embodiments, a permeabilization agent deposited on or infused into a material with anisotropic diffusion can be applied to the sample or to the feature array. The first and second substrates are aligned by the sample holder and brought into contact. A permeabilization layer that includes a permeabilization solution infused into an anisotropic material is positioned on the second substrate.
In some embodiments, the feature array can be constructed atop a hydrogel layer infused with a permeabilization agent. The hydrogel layer can be mounted on the second substrate, or alternatively, the hydrogel layer itself may function as the second substrate. When the first and second substrates are aligned, the permeabilization agent diffuses out of the hydrogel layer and through or around the feature array to reach the sample. Analytes from the sample migrate to the feature array. Direct contact between the feature array and the sample helps to reduce lateral diffusion of the analytes, mitigating spatial resolution loss that would occur if the diffusive path of the analytes was longer.
Spatial analysis workflows can include a sandwiching process described herein, e.g., a process as described in
In some embodiments, the biological sample on the first substrate is stained using any of the methods described herein. In some instances, the biological sample is imaged, capturing the stain pattern created during the stain step. In some instances, the biological sample then is destained prior to the sandwiching process.
The biological sample can be stained using known staining techniques, including, without limitation, Can-Grunwald, Giemsa, hematoxylin and eosin (H&E), hematoxylin, Jenner's, Leishman, Masson's trichrome, Papanicolaou, Romanowsky, silver, Sudan, Wright's, and/or Periodic Acid Schiff (PAS) staining techniques. PAS staining is typically performed after formalin or acetone fixation. In some embodiments, the biological sample can be stained using a detectable label (e.g., radioisotopes, fluorophores, chemiluminescent compounds, bioluminescent compounds, and dyes) as described elsewhere herein. In some embodiments, a biological sample is stained using only one type of stain or one technique. In some embodiments, staining includes biological staining techniques such as H&E staining. In some embodiments, staining includes biological staining using hematoxylin. In some embodiments, staining includes identifying analytes using fluorescently-conjugated antibodies, e.g., by immunofluorescence. In some embodiments, a biological sample is stained using two or more different types of stains, or two or more different staining techniques. For example, a biological sample can be prepared by staining and imaging using one technique (e.g., H&E staining and brightfield imaging), followed by staining and imaging using another technique (e.g., IHC/IF staining and fluorescence microscopy) for the same biological sample. In some instances, a biological sample on the first substrate is stained. In some instances, methods for immunofluorescence include a blocking step. The blocking step can include the use of blocking probes to decrease unspecific binding of the antibodies. The blocking step can optionally further include contacting the biological sample with a detergent. In some instances, the detergent can include Triton X-100™. The method can further include an antibody incubation step. In some embodiments, the antibody incubation step effects selective binding of the antibody to antigens of interest in the biological sample. In some embodiments, the antibody is conjugated to an oligonucleotide (e.g., an oligonucleotide-antibody conjugate as described herein). In some embodiments, the antibody is not conjugated to an oligonucleotide. In some embodiments, the method further comprises an antibody staining step. The antibody staining step can include a direct method of immunostaining in which a labelled antibody binds directly to the analyte being stained for. Alternatively, the antibody staining step can include an indirect method of immunostaining in which a first antibody binds to the analyte being stained for, and a second, labelled antibody binds to the first antibody. In some embodiments, the antibody staining step is performed prior to sandwich assembly. In some embodiments wherein an oligonucleotide-antibody conjugate is used in the antibody incubation step, the method does not comprise an antibody staining step.
In some instances, the methods include imaging the biological sample. In some instances, imaging occurs prior to sandwich assembly. In some instances, imaging occurs while the sandwich configuration is assembled. In some instances, imaging occurs during permeabilization of the biological sample. In some instances, image are captured using high resolution techniques (e.g., having 300 dots per square inch (dpi) or greater). For example, images can be captured using brightfield imaging (e.g., in the setting of hematoxylin or H&E stain), or using fluorescence microscopy to detect adhered labels. In some instances, high resolution images are captured temporally using e.g., confocal microscopy. In some instances, a low resolution image is captured. A low resolution image (e.g., images that are about 72 dpi and normally have an RGB color setting) can be captured at any point of the workflow, including but not limited to staining, destaining, permeabilization, sandwich assembly, and migration of the analytes. In some instances, a low resolution image is taken during permeabilization of the biological sample.
In some embodiments, the location of the one or more analytes in a biological sample are determined by immunofluorescence. In some embodiments, one or more detectable labels (e.g., fluorophore-labeled antibodies) bind to the one or more analytes that are captured (hybridized to) by a probe on the first slide and the location of the one or more analytes is determined by detecting the labels under suitable conditions. In some embodiments, one or more fluorophore-labeled antibodies are used to conjugate to a moiety that associates with a probe on the first slide or the analyte that is hybridized to the probe on the first slide. In some instances, the location(s) of the one or more analytes is determined by imaging the fluorophore-labeled antibodies when the fluorophores are excited by a light of a suitable wavelength. In some embodiments, the location of the one or more analytes in the biological sample is determined by correlating the immunofluorescence data to an image of the biological sample. In some instances, the tissue is imaged throughout the permeabilization step.
In some instances, the biological samples can be destained. In some instances, destaining occurs prior to permeabilization of the biological sample. By way of example only, H&E staining can be destained by washing the sample in HCl. In some instances, the hematoxylin of the H&E stain is destained by washing the sample in HCl. In some embodiments, destaining can include 1, 2, 3, or more washes in HCl. In some embodiments, destaining can include adding HCl to a downstream solution (e.g., permeabilization solution).
Between any of the methods disclosed herein, the methods can include a wash step (e.g., with SSC (e.g., 0.1×SSC)). Wash steps can be performed once or multiple times (e.g., 1×, 2×, 3×, between steps disclosed herein). In some instances, wash steps are performed for about 10 seconds, about 15 seconds, about 20 seconds, about 30 seconds, or about a minute. In some instances, three washes occur for 20 seconds each. In some instances, the wash step occurs before staining the sample, after destaining the sample, before permeabilization the sample, after permeabilization the sample, or any combination thereof.
In some instances, after the sandwiching process the first substrate and the second substrate are separated (e.g., such that they are no longer aligned in a sandwich configuration, also referred to herein as opening the sandwich). In some embodiments, subsequent analysis (e.g., cDNA synthesis, library preparation, and sequences) can be performed on the captured analytes after the first substrate and the second substrate are separated.
In some embodiments, the process of transferring the ligation product or methylated-adaptor-containing nucleic acid from the first substrate to the second substrate is referred to interchangeably herein as a “sandwich process,” “sandwiching process,” or “sandwiching”. The sandwich process is further described in PCT Patent Application Publication No. WO 2020/123320, PCT/US2021/036788, and PCT/US2021/050931, which are incorporated by reference in its entirety.
(e) Use of Multiplexed Sandwich Makers
This disclosure also provides methods, compositions, devices, and systems for using a single capture probe-containing to detect analytes from different biological samples (e.g., tissues) on different slides using serial sandwich processes. Thus, only one capture probe-containing array is necessary for the methods disclosed herein. In this way, as described herein, analytes from different samples or tissues can be captured serially and demultiplexed by sample-specific index sequences.
The methods include generating a connected probe (e.g., a ligation product) in multiple biological samples (i.e., a first sample, a second sample, a third sample, etc.). Generation of a connected probe (e.g., a ligation product) has been described above, and, the same methods are used herein to generate a connected probe (e.g., a ligation product) from analytes that are either protein analytes or nucleic acid (i.e., mRNA) analytes. That is, in some instances, the multiplexed sandwich maker methods disclosed herein can be used to detect protein analytes. In other instances, the multiplexed sandwich maker methods disclosed herein can be used to detect nucleic acid (i.e., mRNA) analytes.
The methods, compositions, devices, and systems include utilizing an analyte capture agent in multiple biological samples (i.e., a first sample, a second sample, a third sample, etc.). Using analyte capture agents for spatial detection has been described above, and, the same methods are used herein to use an analyte capture agent to identify analytes in a biological sample. In some embodiments, the multiplexed sandwich maker methods disclosed herein can be used to detect protein analytes.
As discussed below, each connected probe (e.g., a ligation product) that is generated or analyte capture agent includes a sample index sequence, which is a nucleotide sequence that is associated with a particular sample of origin in the multiplex sandwich methods. After generation of each connected probe (e.g., a ligation product) or analyte capture agent, each sample is serially sandwiched to an array or slide having a plurality of capture probes that can detect and hybridize to a capture probe binding domain from the connected probe (e.g., a ligation product) or analyte capture agent. During the sandwiching process, the indexed connected probe or analyte capture agent actively or passively migrates from the sample to the array for capture by a capture probe. Then the sandwich is opened, and the next sample is sandwiched with the array. In some embodiments, the array is washed prior to sandwiching with the next sample. Additional samples or tissues (e.g., 2 or more) can then be sandwiched with the array or slide having a plurality of capture probes, wherein connected probes (e.g., ligation products) or analyte capture agents from the additional samples or tissues can be transferred to the array in a similar manner. Because each sample includes a unique sample index, the sample of origin for each connected probe (e.g., a ligation product) or analyte capture agent that is captured on the array can be identified. In addition, the location of the connected probe (e.g., a ligation product) can be identified. In some embodiments, the location of the analyte capture agent can be identified. In some instances, the location is identified using fiducial markers on the gene expression slide (i.e., array) so that location of the ligation probe on the array mirrors the location of the sample on the sample slide. Exemplary fiducial markers are described in PCT Patent Application Publication No. WO 2020/123320, which is incorporated by reference in its entirety.
Such methods, compositions, devices, and systems allow for detection of analytes in multiple samples using only one gene expression slide and can be performed on any slide sample described herein. For example, in some instances, the biological sample is a formalin-fixed, paraffin-embedded (FFPE) sample, a frozen sample, or a fresh sample. In some instances, the biological sample is contacted with one or more stains. In some instances, the one or more stains include hematoxylin and eosin. In some instances, cell markers are detected using methods known in the art (e.g., using one or more optical labels such as fluorescent labels, radioactive labels, chemiluminescent labels, calorimetric labels, or colorimetric labels. In some instances, the biological sample is imaged before generating a connected probe (e.g., a ligation product) and before transferring the connected probe (e.g., a ligation product) to the gene expression slide.
The multiplex sandwich methods, compositions, devices, and systems described herein allow for detection of different types of samples and different analytes. For example in some instances, the samples used in the multiplex sandwich methods are from different species. In some instances, the samples used in the multiplex sandwich methods are from the same species but different individuals in the same species. In some instances, the samples used in the multiplex sandwich methods are from the same individual organism. In some instances, the samples are from different tissues or cell types. In some instances, the samples are from the same tissues or cell types. In some instances, the samples are from the same subject taken at different time points (e.g., before and after treatment). It is appreciated that the samples can be from any source so long as ligated products having sample index sequences unique to each sample are generated.
Multiple samples can be used in the methods described herein. For example, in some instances, at least two samples are used. In some instances, more than two samples (e.g., at least 3, 4, 5, 6, 7, 8, 9, 10, or more) samples are used in the methods disclosed herein. It is appreciated that each sample can be from different sources (e.g., different species, different organisms). In some embodiments, from each sample, the same gene is detected and identified. In some embodiments, for each sample, different genes are detected and identified.
In order to differentiate one sample from another, probe oligonucleotide for each sample in a multiplexed setting can include one or more unique sequences to identify the origin of the connected probe (e.g., a ligation product). In some instances, the unique sequence is a sample index sequence. In some instances, probe oligonucleotides for each sample include one or more (e.g., at least 1, 2, 3, 4, 5, or more) unique sample index sequence to identify the origin of the connected probe (e.g., a ligation product).
In some instances, the sample index is about 5 nucleotides to about 50 nucleotides long (e.g., about 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, or 50) nucleotides long. In some embodiments, the sample index is about 5-15 nucleotides long. In some embodiments, the sample index is about 10-12 nucleotides long. Both synthetic and/or naturally-occurring nucleotides can be used to generate a sample index sequence. It is appreciated that any sequence can be designed so long as it is unique among other sample index sequences and optionally that it can be distinguished from any sequence in the genome of the sample.
A sample index sequence can be located anywhere on the connected probe (e.g., a ligation product) so long as it does not affect (1) hybridization of the probe oligonucleotides to the analyte, (2) ligation of the probe oligonucleotides to generate the connected probe (e.g., a ligation product), and (3) hybridization of the capture probe binding domain to the capture probe on an array. For example, in some instances, the sample index sequence can be located on the first probe oligonucleotide (e.g., the left hand probe; i.e., as shown in
(f) Systems and Kits
Also disclosed herein are systems and kits used for any one of the methods disclosed herein. In some instances, the system or kit is used for analyzing an analyte in a biological sample. In some instances, the system or kit includes a support device configured to retain a first substrate and a second substrate, wherein the biological sample is placed on the first substrate, and wherein the second substrate comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises: (i) a spatial barcode and (ii) a capture domain. In some instances, the system or kit includes a first probe oligonucleotide and a second probe oligonucleotide, wherein the first probe oligonucleotide and the second probe oligonucleotide each comprise a sequence that is substantially complementary to adjacent sequences of the analyte, wherein the second probe oligonucleotide comprises a capture probe binding domain, and wherein the first probe oligonucleotide and the second probe oligonucleotide are capable of being ligated together to form a connected probe. In some instances, the system or kit includes a plurality of analyte capture agents, wherein an analyte capture agent of the plurality of analyte capture agents comprises an analyte binding moiety and a capture agent barcode domain, wherein the analyte binding moiety specifically binds to the analyte, and wherein the capture agent barcode domain comprises an analyte binding moiety barcode and a capture handle sequence. In some instances, the system or kit further includes a reagent medium comprising a permeabilization agent and optionally an agent for releasing the connected probe. In some instances, the system or kit includes instructions for performing any one of the methods described herein.
In some instances, the permeabilization agent is pepsin or proteinase K. In some instances, the agent for releasing the connected probe is an RNAse, optionally wherein the RNAse is RNAse H.
In some instances, the system or kit further includes an alignment mechanism on the support device to align the first substrate and the second substrate. In some instances, the alignment mechanism comprises a linear actuator and the first substrate comprises a first member and the second substrate comprises a second member. The linear actuator can be configured to move the second member along an axis orthogonal to the plane or the first member and/or the second member. The linear actuator can be configured to move the first member along an axis orthogonal to the plane of the first member and/or the second member. The linear actuator can be configured to move the first member, the second member, or both the first member and the second member at a velocity of at least 0.1 mm/sec. Finally, in some instances, the linear actuator can be configured to move the first member, the second member, or both the first member and the second member with an amount of force of at least 0.1 lbs.
a. Methods of Capturing Connected Probes that Hybridize to Analytes in a Mouse Brain and Mouse Kidney Samples Using Probe Pairs that Hybridize to a Fraction of the Mouse Transcriptome.
In a non-limiting example, mouse brain and mouse kidney FFPE sections on standard slides (for sandwich conditions) or gene expression (GEx) slides (for non-sandwich control conditions) were deparaffinized, H&E stained, and imaged. Next, the tissue samples were hematoxylin-destained with three HCl solution washes. The sections were then decrosslinked by incubating 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.
Individual probe oligonucleotides (e.g., a first probe oligonucleotide, a second probe oligonucleotide) of probe pairs were hybridized to adjacent sequences of an analyte (e.g., an RNA molecule) in the mouse brain tissue. The RTL probe oligonucleotides were then ligated together, thereby creating a connected probe (e.g., a ligation product) (
After ligation of the RTL probe oligonucleotides, the connected probes were released from the tissue using various conditions: (A) sandwich process with RNase in the reagent medium; (B) sandwich process with RNAse+Proteinase K in the reagent medium; or (C) without sandwich methods (i.e., a control). For sandwich conditions A and B, the tissue mounted standard slides were aligned with a GEx slide and permeabilized in the sandwich configuration as described herein (see, e.g.,
Table 1 and Table 2 below show results of the mouse brain 5000 probe pair experiment.
As shown in Table 1 and Table 2, the combination of RNAse+Proteinase K using sandwiching methods resulted in increased useable fraction targeted reads, increased reads in spots under tissues, and increased median panel genes and UMI counts.
Table 3 and Table 4 below show results of the captured ligated probes on mouse kidney in a setting of using probes designed to hybridize to part of the mouse transcriptome (e.g., using partial (i.e., n=5000) total probe pairs).
As shown in Table 3 and Table 4, the combination of RNAse+Proteinase K using sandwiching methods resulted in increased useable fraction targeted reads, increased reads in spots under tissues, and increased median panel genes and UMI counts.
In addition, as shown in Table 5, other FFPE samples from human brain, human lung, mouse spleen, mouse thymus, and mouse testes were tested using either 3000 probe pairs for human samples or 5000 probe pairs for mouse samples. The samples were sandwiched, and probes were released using a combination of RNAse and Proteinase K.
b. Methods of Capturing Connected Probes that Hybridize to Analytes in a Mouse Brain Samples Using Probe Pairs that Hybridize to Probe Pairs Designed to Cover the Entire Mouse Transcriptome.
The methods of Example 1a were repeated in a second set of mouse brain samples, except that probe pairs that cover the entire mouse transcriptome were used (21,000 probe pairs). Table 6 shows results of capture of connected probes using probe pairs designed to cover the entire mouse transcriptome.
As shown in
Table 7 shows results of capture of connected probes using probe pairs designed to cover human transcriptome (3000 probe panel) or mouse transcriptome (5000 probe panel) with different types of tissue samples.
In a non-limiting example, methods for spatial analysis of RNA and protein were performed. In brief, mouse brain FFPE sections on standard slides (for sandwich conditions) or gene expression (GEx) slides (for non-sandwich control conditions) were decrosslinked according to the steps in Example 1a. Probe hybridization using mouse-specific probe sets to the mouse partial transcriptome (n=5000 probe pairs) was performed, followed by RTL probe ligation as described in Example 1. The sections were then incubated with totalseq B oligo-tagged antibodies for NeuN and Gfap, followed by washing. The antibodies were tagged with oligonucleotides that have a sequence complementary to a capture probe capture domain of a GEx slide and a barcode sequence that uniquely identifies the antibody. The connected probes and antibody oligonucleotide tags were released from the tissue under sandwich conditions as described herein or under non-sandwich conditions. For both conditions, the reagent medium included RNase and Proteinase K. For the sandwich conditions, the tissue-mounted slides were aligned with a GEx slide and permeabilized in the sandwich configuration as described herein (see, e.g.,
Table 8 shows mRNA analysis results. Table 9 shows antibody analysis results.
As shown in
In a non-limiting example, the sandwich process can be utilized for a downstream analytical step in spatial transcriptomics analysis workflows as described herein.
In a non-limiting example, the sandwich process can be repeated using serial biological sections with transfer to the same substrate comprising a plurality of capture probes.
To demonstrate the ability to capture analytes from multiple biological samples, connected probes were generated on separate slides, with each slide comprising a different biological sample. Briefly, in Biological Sample 1, a mouse sample was used. In Biological Sample 2, a human sample was used. In particular, mouse thymus or mouse testes biological samples were used as Biological Sample 1, and human lung or human breast cancer samples were used for Biological Sample 2. Probes were designed to hybridize to mouse-specific mRNA analytes or human-specific analytes. In some embodiments, partial transcriptome probe panels were used. In some embodiments, mouse transcriptome probe panels were used. In some embodiments, human transcriptome probe pairs were used.
Individual probe oligonucleotides (e.g., a first probe oligonucleotide, a second probe oligonucleotide) in a probe pair hybridized to adjacent sequences of an analyte (e.g., an RNA molecule) in each biological sample. The RTL probe oligonucleotides were then ligated together, thereby creating a connected probe. After ligation of the RTL probe oligonucleotides, RNase H was added to release the ligated product from the analyte, and proteinase K was added to the samples to permeabilize the biological samples.
During the permeabilization step, each sample (i.e., Biological Sample 1 and Biological Sample 2) was serially added to the second substrate (i.e., the substrate comprising capture probes that capture the connected probes. The poly(A) sequence on the connected probe hybridized to the poly(T) sequence of the capture probe domain. After hybridization of the connected probes from Biological Sample 1, Biological Sample 1 was removed from the capture probe-containing substrate. The capture-probe-containing substrate was washed briefly with 1×SSC, dried quickly, and this sandwich-transfer method was repeated for Biological Sample 2.
As shown in
The results demonstrate the ability to serially capture analytes from different biological samples on the same array. The results also demonstrate the ability to demultiplex the samples computationally.
In a non-limiting example, analyte capture onto spatially barcoded arrays and subsequent sequencing was demonstrated under sandwich and non-sandwich conditions. For the test (sandwiching) condition, archived tissue-mounted standard glass slides containing hematoxylin/eosin stained fresh frozen mouse brain sections were used. For control (non-sandwich) condition, gene expression (GEx) array slides with hematoxylin/eosin stained fresh frozen mouse brain sections mounted directly onto the array area were used. Under both conditions, tissue sections were subjected to a hematoxylin destaining step. Slides processed according to the “sandwiching” condition were briefly dried at 37° C., then mounted in an instrument along with a GEx slide and a permeabilization buffer comprising sarkosyl and proteinase K. Upon sandwich closure in the instrument, the tissue sections were permeabilized for 1 minute. For the tissue-mounted GEx slides processed according to the non-sandwich condition, sections were permeabilized for 5 minutes using the same permeabilization buffer without sandwiching. For both conditions, following permeabilization, captured polyA-containing mRNA transcripts on the GEx slides were reverse transcribed into cDNA, followed by standard sequencing library preparation and sequencing.
Results depicting median genes per spot and median UMI counts per spot are shown in
Visual heat map results showing Log 10 UMIs are shown in
Spatial clustering analysis (top row 2605) and analysis of hippocampal transcript Hpca (bottom row 2610) are depicted in
In a non-limiting example, human brain and human breast FFPE sections on standard slides (for sandwich conditions) or gene expression (GEx) slides (for non-sandwich control conditions) were deparaffinized, H&E stained, and imaged. Next, the tissue samples were hematoxylin-destained with three HCl solution washes and then decrosslinked according to the steps in Example 1a.
Probe hybridization was performed, followed by RTL probe ligation as described in Example 1. The sections were then incubated with totalseq B oligo-tagged antibodies for NeuN and Gfap, followed by washing. The antibodies were tagged with oligonucleotides that have a sequence complementary to a capture probe capture domain of a GEx slide and a barcode sequence that uniquely identifies the antibody. The connected probes and antibody oligonucleotide tags were released from the tissue under sandwich conditions as described herein or under non-sandwich conditions. For both conditions, the reagent medium included RNase and Proteinase K. For the sandwich conditions, the tissue-mounted slides were aligned with a GEx slide and permeabilized in the sandwich configuration as described herein (see, e.g.,
Visual heat map results showing Log 10 UMIs for human brain and human breast tissues are shown in
In a non-limiting example, FFPE mouse spleen samples, FFPE mouse brain samples, FFPE mouse embryo torso samples, and FFPE mouse embryo head sections samples were placed onto standard slides (for sandwich conditions) or spatial expression (GEx) slides (as non-sandwich conditions). GEx slides included an array of spatially barcoded capture probes. Briefly, tissues were sectioned and were mounted on slides and dried overnight in a desiccator. The following day, the tissues were heated to 60° C., followed by deparaffinization and rehydration. H&E staining was performed and tissues were imaged. Tissues were destained using HCl and decrosslinked for 1 hour in citrate buffer (pH 6.0) at 95° C. After decrosslinking, tissues were incubated overnight with whole mouse transcriptome RTL (templated ligation) probe sets at 50° C. The following day, tissues were washed to remove un-hybridized probes, then treated with ligase to ligate together the RTL probes. After another wash step, the tissues were blocked with antibody blocking buffer. Tissues were incubated overnight with a library of conjugated antibodies (e.g., a library comprising a plurality of analyte capture agents, each comprising an antigen-specific antibody conjugated to an oligonucleotide). The following day, tissues were subjected to sandwiching or non-sandwich conditions as follows.
Tissues placed on standard slides for the sandwiching conditions were washed with PBS-T, subjected to an eosin retain, and washed with SSC. These tissues were subjected to sandwiching conditions described herein. Briefly, the tissue slides were mounted in an instrument along with a GEx slide and a reagent solution including RNase and proteinase K in buffer. Upon sandwich closure in the instrument, the tissue sections were permeabilized for 30 minutes, allowing the ligation products and oligonucleotides from analyte capture agents to migrate to the GEx slide for capture by the capture probes. Following permeabilization and capture, the GEx slides were removed from the instrument.
Tissues placed on the GEx slides for non-sandwiching conditions were washed with PBST, and washed with SSC. The tissues were subjected to a 30 minute probe release step with RNase, followed by a 1 hour permeabilization step with a permeabilization buffer including Proteinase K and detergent. Accordingly, the ligation products and analyte capture agents were captured by the capture probes of the GEx slide.
Regardless of condition, GEx slides were washed twice with 2×SSC and subjected to probe extension, denaturation, and pre-amplification followed by amplification and sequencing of the templated ligation and analyte capture agent libraries.
After sequencing, the quality, sensitivity, and detection under each conditions (sandwiching and non-sandwiching conditions) were evaluated. As shown in Table 10, the quality, sensitivity, and detection of globally-detected transcripts (i.e., mRNA) and proteins were comparable across the sandwich and non-sandwich conditions.
Images were generated to evaluate overlap of gene expression and gene product (e.g., protein) profiles in mouse spleen tissue and mouse brain tissue for individual biomarkers. For instance, CD45, which is expressed in both spleen and brain, was evaluated. As shown in
Mouse brain samples were also evaluated. In particular, the quality, sensitivity, and detection under each conditions (sandwiching and non-sandwiching conditions) were evaluated globally in mouse brain samples. As shown in Table 11, the quality, sensitivity, and detection of globally-detected transcripts (i.e., mRNA) and proteins were comparable across the sandwich and non-sandwich conditions in mouse brain samples.
Similar to the mouse spleen sample images described above, individual gene expression and protein products were evaluated in mouse brain samples. As shown in
Additional experiments using the same methods (i.e., testing sandwiching conditions versus non-sandwiching control conditions while detecting both RNA and protein) were performed on embryo torso and head sections. In addition to conditions in which both RNA and protein were detected, a third condition was included as a control. This third condition (Conditions 3 in Tables 12 and 13) detected the presence and abundance of only RNA. In each condition, RNA was detected using templated ligation as previously described herein. For Conditions 1 and 2 as shown in Tables 12 and 13 below, protein was also detected using analyte capture agent methods described herein. The quality, sensitivity, and detection under each condition (sandwiching versus non-sandwiching conditions) were evaluated in mouse embryo torso and head/upper torso samples. As shown in Tables 12 and 13, the quality, sensitivity, and detection of globally-detected transcripts (i.e., mRNA) and proteins were comparable across the sandwich and non-sandwich conditions in mouse embryo torso and head samples. Further, the quality, sensitivity, and detection of globally-detected transcripts (i.e., mRNA) was roughly the same between Conditions 1 and 3, demonstrating that both protein capture and sandwiching methods did not interfere with RNA capture using templated ligation methods.
In addition to performing global expression analysis on each group, individual targets were analyzed for the location and abundance of transcript (i.e., mRNA) and protein of a single target in the mouse embryo torso and head/upper torso samples.
Additional single biomarkers were analyzed in the mouse embryo torso and head samples. As shown in
Four additional biomarkers—troponin C1, slow skeletal and cardiac type (Tnnc1, e.g., Ensembl: ENSMUSG00000091898); fibroblast growth factor 15 (Fgf15, e.g., Ensembl: ENSMUSG00000031073); epiphycan (Epyc, e.g., Ensembl: ENSMUSG00000019936); and serine (or cysteine) peptidase inhibitor, Glade A, member 1E (Serpina1e, e.g., Ensembl: ENSMUSG00000072849)—were examined in head/upper torso and torso mouse embryo samples under Conditions 1, 2, and 3 from Tables 12 and 13. See
In a non-limiting example, fresh frozen human breast cancer and normal lung samples were placed onto standard slides (for sandwich conditions). Ultimately, standard slides were sandwiched with GEx slides that included an array of spatially barcoded capture probes. Briefly, tissues were frozen in liquid nitrogen and embedded in OCT. Tissues were sectioned at 10 um thickness and were mounted on slides. Tissue sections were then fixed in methanol for 30 minutes, followed by isopropanol for 1 minute, then H&E staining using standard methods. After imaging the H&E stained samples, the samples were destained using 0.1 N HCl. Samples were not decrosslinked.
After destaining, tissues were incubated overnight with whole human transcriptome RTL (RNA templated ligation) probe sets at 50° C. The following day, tissues were washed to remove un-hybridized probes, then treated with ligase to ligate together the RTL probes. Following ligation, the tissues were subjected to sandwiching conditions as follows.
Tissues placed on standard slides for the sandwiching conditions were washed with SSC, subjected to an eosin restain made of 1 in 10 eosin in PBS, and washed with PBS. These tissues were subjected to sandwiching conditions described herein. Briefly, the tissue slides were mounted in an instrument along with a GEx slide and a reagent solution including RNase and proteinase K in buffer. Upon sandwich closure in the instrument, the tissue sections were permeabilized for 30 minutes at 37° C., allowing the ligation products to migrate to the GEx slide for capture by the capture probes. Following permeabilization and capture, the GEx slides were removed from the instrument.
GEx slides were washed three times with 2×SSC and subjected to probe extension, elution, and pre-amplification followed by amplification and sequencing of the templated ligation libraries. A schematic showing a non-limiting example of the workflow is shown in
After sequencing, the quality, sensitivity, and detection were evaluated. As control, samples were evaluated using direct capture non-sandwiched conditions (e.g., using poly(T) based capture but not RTL probes). As shown in
In addition, as shown in
The Venn diagrams in
Taken together, using sandwiching conditions, highly sensitive and specific gene expression can be detected in a spatial context across multiple tissue types in fresh frozen samples and be paired with H&E staining using an RTL based approach.
In a non-limiting example, methods for spatial analysis of RNA on fixed frozen samples are performed. In some embodiments, a previously fixed (e.g., via formalin or PFA) and frozen tissue sample is sectioned and mounted on a standard slide. In some embodiments, the tissue sample is embedded in OCT compound prior to sectioning. In some embodiments, the tissue sample is treated with a sucrose gradient prior to embedding in OCT. In some embodiments, the tissue sample is not paraffin embedded.
In some embodiments, the tissue section is then (a) rehydrated using an ethanol gradient (e.g., when the tissue sample is treated with a sucrose gradient) (b) stained (e.g., hematoxylin and eosin staining, fluorescent antibody staining); (c) imaged; (d) destained; (e) decrosslinked (e.g., via citrate buffer or TE buffer), or a combination thereof. In some embodiments, the tissue section is subject to a further fixation step (e.g., using PFA) before rehydration in step (a).
In some embodiments, when the tissue section is imaged via immunofluorescence (e.g., using fluorescent antibody staining), it is decrosslinked (e.g., via citrate buffer or TE buffer) before the immunofluorescence.
The tissue section is incubated overnight with whole or partial transcriptome RTL (RNA templated ligation) probe sets followed by RTL probe ligation using a ligase. The tissue section is subjected to sandwiching conditions described herein to facilitate release of the ligated probes (e.g., via an RNAse), permeabilization of the tissue section (e.g., via a protease), and capture of the ligated probe onto the capture probes of a GEx slide. Subsequently, the ligated probes (now captured on the GEx slides) are extended using the capture probes as templates, eluted, and used to generate libraries for sequencing.
Embodiment 1. A method for processing a nucleic acid analyte in a tissue sample, the method comprising:
(a) providing the tissue sample mounted on a first substrate, wherein the tissue sample was previously frozen;
(b) applying a fixative comprising methanol to the tissue sample, thereby fixing the tissue sample;
(c) hybridizing a first probe and a second probe to the nucleic acid analyte, wherein the first probe and the second probe each comprise a sequence that is substantially complementary to sequences of the nucleic acid analyte, and wherein the second probe comprises a capture probe binding domain;
(d) coupling the first probe and the second probe, thereby generating a connected probe;
(e) aligning the first substrate with a second substrate comprising an array, such that at least a portion of the biological sample is aligned with at least a portion of the array, wherein the array comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises: (i) a spatial barcode and (ii) a capture domain;
(f) releasing the connected probe from the nucleic acid analyte when at least a portion of the biological sample is aligned with at least a portion of the array; and
(g) hybridizing the connected probe to the capture domain of the array.
Embodiment 2. The method of Embodiment 1, wherein the fixative is applied to the tissue sample while the tissue sample is mounted on the first substrate.
Embodiment 3. The method of Embodiment 1, wherein the fixative further comprises acetone.
Embodiment 4. The method of Embodiment 1, further comprising (b) applying a fixative comprising paraformaldehyde to the tissue sample before or instead of step (b).
Embodiment 5. The method of Embodiment 1, wherein the fixative does not comprise formalin or formaldehyde.
Embodiment 6. The method of claim Embodiment 1, wherein the tissue sample was flash-frozen, embedded in an optimal cutting temperature (OCT) compound, and sectioned before being mounted onto the first substrate.
Embodiment 7. The method of Embodiment 1, further comprising staining, imaging, and/or destaining the tissue sample before step (c).
Embodiment 8. The method of Embodiment 1, wherein the tissue sample is derived from normal or diseased tissue.
Embodiment 9. The method of Embodiment 8, wherein the normal or diseased tissue is selected from skin, brain, breast, lung, liver, kidney, prostate, tonsil, thymus, testes, bone, lymph node, ovary, eye, heart, spleen, or embryo.
Embodiment 10. The method of claim Embodiment 1, wherein the first substrate comprises a glass slide.
This application is a continuation-in-part of U.S. application Ser. No. 17/871,525, filed on Jul. 22, 2022, which is a continuation of International Application PCT/US2021/061401, with an international filing date of Dec. 1, 2021, which claims the benefit of U.S. Provisional Application Ser. No. 63/128,796, filed Dec. 21, 2020; 63/148,825, filed Feb. 12, 2021; and 63/252,323, filed Oct. 5, 2021, the entire contents of each application are incorporated by reference herein.
| 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 |
| 5559032 | Porneroy | Sep 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 |
| 5716825 | Hancock et al. | Feb 1998 | 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 |
| 5958775 | Wickstrrom | Sep 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 |
| 6083761 | Kedar et al. | Jul 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 |
| 6544790 | Sabatini | 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 |
| 6673620 | Loeffler | Jan 2004 | B1 |
| 6699710 | Kononen | Mar 2004 | 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 |
| 7098041 | Kaylor 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 |
| 7700286 | Stroun et al. | Apr 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 |
| 8207093 | Szostak | 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 |
| 8951781 | Reed | Feb 2015 | B2 |
| 8986926 | Ferree et al. | Mar 2015 | B2 |
| 9005891 | Sinicropi et al. | Apr 2015 | B2 |
| 9005935 | Belyaev | Apr 2015 | B2 |
| 9023768 | Van Eijk | May 2015 | B2 |
| 9062348 | Van Eijk | Jun 2015 | B1 |
| 9080210 | Van Eijk | Jul 2015 | B2 |
| 9194001 | Brenner | Nov 2015 | B2 |
| 9201063 | Sood et al. | Dec 2015 | B2 |
| 9273349 | Nguyen et al. | Mar 2016 | B2 |
| 9290808 | Fodor | Mar 2016 | B2 |
| 9290809 | Fodor | Mar 2016 | B2 |
| 9328383 | Van Eijk | May 2016 | B2 |
| 9334536 | Van Eijk | May 2016 | B2 |
| 9371563 | Geiss et al. | Jun 2016 | B2 |
| 9371598 | Chee | Jun 2016 | B2 |
| 9376716 | Van Eijk | Jun 2016 | B2 |
| 9376717 | Gao et al. | Jun 2016 | B2 |
| 9376719 | Van Eijk | Jun 2016 | B2 |
| 9416409 | Hayden | Aug 2016 | B2 |
| 9447459 | Van Eijk | Sep 2016 | B2 |
| 9453256 | Van Eijk | Sep 2016 | B2 |
| 9493820 | Van Eijk | Nov 2016 | B2 |
| 9506061 | Brown et al. | Nov 2016 | B2 |
| 9512422 | Barnard et al. | Dec 2016 | B2 |
| 9557330 | Siciliano et al. | Jan 2017 | B2 |
| 9574230 | Van Eijk | Feb 2017 | B2 |
| 9582877 | Fu | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 11492612 | Dadhwal | Nov 2022 | B1 |
| 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 |
| 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 |
| 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 |
| 20020150909 | Stuelpnagel | Oct 2002 | A1 |
| 20020164611 | Bamdad | Nov 2002 | A1 |
| 20030017451 | Wang et al. | Jan 2003 | A1 |
| 20030022207 | Balasubramanian | Jan 2003 | A1 |
| 20030040035 | Slamon | Feb 2003 | A1 |
| 20030064398 | Barnes | Apr 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 |
| 20030175844 | Nadler et al. | Sep 2003 | A1 |
| 20030215936 | Kallioniemi 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 |
| 20040112442 | Maerkl | Jun 2004 | A1 |
| 20040235103 | Reznikoff et al. | Nov 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 |
| 20050116161 | Hafeman et al. | Jun 2005 | A1 |
| 20050130173 | Leamon et al. | Jun 2005 | A1 |
| 20050136414 | Gunderson et al. | Jun 2005 | A1 |
| 20050164292 | Farooqui | Jul 2005 | A1 |
| 20050179746 | Roux et al. | 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 |
| 20050260653 | LaBaer | Nov 2005 | A1 |
| 20050266417 | Barany et al. | Dec 2005 | A1 |
| 20060046313 | Roth | Mar 2006 | A1 |
| 20060084078 | Zhao | Apr 2006 | A1 |
| 20060105352 | Qiao et al. | May 2006 | A1 |
| 20060164490 | Kim 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 |
| 20070116612 | Williamson | 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 |
| 20080145616 | Gharib 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 |
| 20090283407 | Van Eijk | Nov 2009 | A1 |
| 20090291854 | Weisinger-Mayr et al. | Nov 2009 | A1 |
| 20090312193 | Kim et al. | Dec 2009 | A1 |
| 20090321262 | Adachi 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 |
| 20100120043 | Sood et al. | May 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 |
| 20100282617 | Rothberg et al. | Nov 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 |
| 20110177518 | Kartalov et al. | Jul 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 |
| 20130035239 | Kong et al. | Feb 2013 | A1 |
| 20130052331 | Kram et al. | Feb 2013 | A1 |
| 20130065768 | Zheng et al. | Mar 2013 | A1 |
| 20130079232 | Kain et al. | Mar 2013 | A1 |
| 20130096033 | Routenberg | Apr 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 et al. | 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 |
| 20150000854 | Gann-Fetter et al. | Jan 2015 | A1 |
| 20150148239 | Jon | May 2015 | A1 |
| 20150219618 | Krishnan et al. | Aug 2015 | A1 |
| 20150292988 | Bharadwaj et al. | Oct 2015 | A1 |
| 20150344942 | Frisen et al. | Dec 2015 | A1 |
| 20160019337 | Roberts et al. | Jan 2016 | A1 |
| 20160024576 | Chee | Jan 2016 | A1 |
| 20160033496 | Chou et al. | Feb 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 |
| 20160253584 | Fodor et al. | Sep 2016 | A1 |
| 20160289740 | Fu et al. | Oct 2016 | A1 |
| 20160298180 | Chee | Oct 2016 | A1 |
| 20160299165 | Zhou | 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 |
| 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 |
| 20170275669 | Weissleder et al. | Sep 2017 | A1 |
| 20170335297 | Ha et al. | Nov 2017 | A1 |
| 20170335410 | Driscoll 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 |
| 20180094316 | Oliphant et al. | Apr 2018 | A1 |
| 20180095067 | Huff et al. | Apr 2018 | A1 |
| 20180104694 | Huff et al. | Apr 2018 | A1 |
| 20180104964 | Uemura et al. | Apr 2018 | A1 |
| 20180112261 | Van Driel et al. | Apr 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 |
| 20180217094 | Herr 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 |
| 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 |
| 20190032128 | Chen et al. | Jan 2019 | A1 |
| 20190055594 | Samusik et al. | Feb 2019 | A1 |
| 20190064173 | Bharadwaj et al. | Feb 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 |
| 20190249248 | Beechem 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 |
| 20190352708 | Gaige et al. | Nov 2019 | A1 |
| 20190360043 | Pham et al. | Nov 2019 | A1 |
| 20190367969 | Belhocine et al. | Dec 2019 | A1 |
| 20190367982 | Belhocine et al. | Dec 2019 | A1 |
| 20190367997 | Bent et al. | Dec 2019 | A1 |
| 20200002763 | Belgrader et al. | Jan 2020 | A1 |
| 20200010891 | Beechem et al. | Jan 2020 | A1 |
| 20200024641 | Nolan et al. | Jan 2020 | A1 |
| 20200047010 | Lee et al. | Feb 2020 | A1 |
| 20200048690 | Chee | Feb 2020 | A1 |
| 20200063191 | Kennedy-Darling et al. | Feb 2020 | A1 |
| 20200063195 | Chee | Feb 2020 | A1 |
| 20200063196 | Chee | Feb 2020 | A1 |
| 20200071751 | Daugharthy et al. | Mar 2020 | A1 |
| 20200080136 | Zhang et al. | Mar 2020 | A1 |
| 20200109443 | Chee | Apr 2020 | A1 |
| 20200123597 | Daniel | Apr 2020 | A1 |
| 20200140920 | Pierce et al. | May 2020 | A1 |
| 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 |
| 20200363408 | Chou 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 |
| 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 |
| 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 |
| 20220334031 | Delaney et al. | Oct 2022 | A1 |
| 20220356464 | Kim et al. | Nov 2022 | A1 |
| 20220364163 | Stahl et al. | Nov 2022 | A1 |
| 20220389491 | Chee | 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 |
| 20230033960 | Gallant et al. | Feb 2023 | A1 |
| 20230034039 | Shahjamali | Feb 2023 | A1 |
| 20230034216 | Bava | Feb 2023 | A1 |
| 20230040363 | Chee | Feb 2023 | A1 |
| 20230042088 | Chee | Feb 2023 | A1 |
| 20230042817 | Mignardi | Feb 2023 | A1 |
| 20230047782 | Tentori et al. | Feb 2023 | A1 |
| 20230056549 | Dadhwal | Feb 2023 | A1 |
| 20230064372 | Chell et al. | Mar 2023 | A1 |
| 20230069046 | Chew et al. | Mar 2023 | A1 |
| 20230077364 | Patterson et al. | Mar 2023 | A1 |
| 20230080543 | Katiraee et al. | Mar 2023 | A1 |
| 20230081381 | Chew et al. | Mar 2023 | A1 |
| Number | Date | Country |
|---|---|---|
| 2003200718 | Oct 2006 | AU |
| 3054046 | Mar 2020 | CA |
| 1273609 | Nov 2000 | CN |
| 1537953 | Oct 2004 | CN |
| 1680604 | Oct 2005 | CN |
| 1749752 | Mar 2006 | CN |
| 1898398 | Jan 2007 | CN |
| 1981188 | Jun 2007 | CN |
| 101142325 | Mar 2008 | CN |
| 101221182 | Jul 2008 | CN |
| 101522915 | Sep 2009 | CN |
| 108949924 | Dec 2018 | CN |
| 0961110 | Dec 1999 | EP |
| 0901631 | Aug 2004 | EP |
| 1712623 | Oct 2006 | EP |
| 1782737 | May 2007 | EP |
| 1878502 | Jan 2008 | EP |
| 1910562 | Apr 2008 | EP |
| 1923471 | May 2008 | EP |
| 1929039 | Jun 2008 | EP |
| 2002017 | Dec 2008 | EP |
| 2292788 | Mar 2011 | EP |
| 2302070 | Mar 2011 | EP |
| 2580351 | Apr 2013 | EP |
| 2881465 | Jun 2015 | EP |
| 3013983 | May 2016 | EP |
| 3013984 | May 2016 | EP |
| 2350648 | Jul 2017 | 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 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 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 2006056861 | Jun 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 2008093098 | Aug 2008 | WO |
| WO 2008157801 | Dec 2008 | WO |
| WO 2009032167 | Mar 2009 | WO |
| WO 2009036525 | Mar 2009 | WO |
| WO 2009152928 | Dec 2009 | WO |
| WO 2010019826 | Feb 2010 | WO |
| WO 2010027870 | Mar 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 2011102903 | Aug 2011 | WO |
| WO 2011127006 | Oct 2011 | WO |
| WO 2011155833 | Dec 2011 | WO |
| WO 2012049316 | Apr 2012 | WO |
| WO 2012071428 | May 2012 | WO |
| WO 2012129242 | Sep 2012 | WO |
| WO 2012159089 | Nov 2012 | 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 2014130576 | Aug 2014 | WO |
| WO 2014142841 | Sep 2014 | WO |
| WO 2014144713 | Sep 2014 | WO |
| WO 2014152397 | Sep 2014 | WO |
| WO 2014210223 | Dec 2014 | WO |
| WO 2015069374 | May 2015 | WO |
| WO 2015161173 | Oct 2015 | WO |
| WO 2016077763 | May 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 2017027367 | Feb 2017 | WO |
| WO 2017048871 | Mar 2017 | WO |
| WO 2017075293 | May 2017 | WO |
| WO 2017112957 | Jun 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 2018091676 | May 2018 | WO |
| WO 2018136856 | Jul 2018 | WO |
| WO 2018144582 | Aug 2018 | WO |
| WO 2018148471 | Aug 2018 | WO |
| WO 2018209398 | Nov 2018 | WO |
| WO 2019012005 | Jan 2019 | WO |
| WO 2019023214 | Jan 2019 | WO |
| WO 2019032760 | Feb 2019 | WO |
| WO 2019068880 | Apr 2019 | WO |
| WO 2019113457 | Jun 2019 | WO |
| WO 2019126313 | Jun 2019 | WO |
| WO 2019140201 | Jul 2019 | WO |
| WO 2019140334 | Jul 2019 | WO |
| WO 2019165318 | Aug 2019 | WO |
| WO 2019213254 | Nov 2019 | WO |
| WO 2019213294 | Nov 2019 | WO |
| WO 2020028194 | Feb 2020 | WO |
| WO 2020047002 | Mar 2020 | WO |
| WO 2020047004 | Mar 2020 | WO |
| WO 2020047010 | Mar 2020 | WO |
| WO 2020053655 | Mar 2020 | WO |
| WO 2020056381 | Mar 2020 | WO |
| WO 2020061064 | Mar 2020 | WO |
| WO 2020061066 | Mar 2020 | WO |
| WO 2020061108 | Mar 2020 | WO |
| WO 2020076979 | Apr 2020 | WO |
| WO 2020099640 | May 2020 | WO |
| WO 2020112604 | Jun 2020 | WO |
| WO 2020117914 | Jun 2020 | WO |
| WO 2020123301 | Jun 2020 | WO |
| WO 2020123305 | Jun 2020 | WO |
| WO 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 2021016379 | Jan 2021 | 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 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 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 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 2022060798 | Mar 2022 | WO |
| WO 2022060953 | Mar 2022 | WO |
| WO 2022061152 | Mar 2022 | WO |
| WO 2022087273 | Apr 2022 | WO |
| WO 2022099037 | May 2022 | WO |
| WO 2022109181 | May 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 2022221425 | Oct 2022 | WO |
| WO 2022226057 | Oct 2022 | WO |
| WO 2022236054 | Nov 2022 | WO |
| WO 2022256503 | Dec 2022 | WO |
| WO 2022271820 | Dec 2022 | WO |
| WO 2023287765 | Jan 2023 | WO |
| WO 2023018799 | Feb 2023 | WO |
| Entry |
|---|
| 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. |
| 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. |
| Gamper et al., “Gene expression profile of bladder tissue of patients with ulcerative interstitial cystitis,” BMC Genomics, Apr. 28, 2009, 10(199):1-17. |
| 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. |
| U.S. Appl. No. 16/353,937, filed Mar. 14, 2019, Frisen et al. |
| U.S. Appl. No. 16/876,709, filed May 18, 2020, Schnall-Levin et al. |
| U.S. Appl. No. 17/707,189, filed Mar. 29, 2022, Chell et al. |
| U.S. Appl. No. 61/839,313, filed Jun. 25, 2013, Chee et al. |
| U.S. Appl. No. 61/839,320, filed Jun. 25, 2013, Chee et al. |
| U.S. Appl. No. 61/902,105, filed Nov. 8, 2013, Kozlov et al. |
| U.S. Appl. No. 63/033,348, filed Jun. 2, 2020, Bent. |
| [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 96×96 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/5UJrN0cH17rEk0UXwdl9It/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/4q03w6959AJFxffSw51ee9/6a2ac61cf6388a72564eeb96bc294967/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/5UJrN0cH17rEk0UXwdl9It/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/3GGIfH3RWpd1bFVha1pexR/8baa08d9007157592b65b2cdc7130990/CG000239_VisiumSpatialGeneExpression_UserGuide_RevD.pdf>, 69 pages. |
| 10xGenomics.com, [online], “Visium Spatial Gene Expression Reagent Kits—User Guide,” Nov. 2019, 10x Genomics, Inc., pp. 1-76. |
| 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 vims mRNA from a erode 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. |
| Assets.ctassets.net [online], “Technical Note—Visium Spatial Gene Expression Imaging Guidelines,” CG000241 Rev A, 2019, retrieved on Jul. 29, 2022, retrieved from URL <https://assets.ctfassets.net/an68im79xiti/76JHgFQo6aLq8UPvfL0u2c/fc39e46f86bf75676d3f7da6dc721fad/CG000241_VisiumImagingGuidelinesTN_Rev_A.pdf>, 8 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). |
| Borm et al., “Scalable in situ single-cell profiling by electrophoretic capture of mRNA,” bioRxiv, Jan. 2022, 32 pages. |
| 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. |
| Caliari et al., “A practical guide to hydrogels for cell culture,” Nat Methods., Apr. 2016, 13(5):405-14. |
| Cardona et al., “TrakEM2 0.9a User Manual,” Sep. 8, 2011, retrieved on Jul. 29, 2022, retrieved from URL <https://www.ini.uzh.ch/˜acardona/trakem2_manual.html>, 38 pages. |
| Carter et al., “Stabilization of an optical microscope to 0.1 nm in three dimensions,” Applied Optics, 2007, 46:421-427. |
| 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. |
| Chatteijee 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., “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. |
| 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 microwestem arrays,” Nat Methods, Feb. 2010, 7(2):148-55. |
| Codeluppi et al., “Spatial organization of the somatosensory cortex revealed by osmFISH,” Nature Methods, Nov. 2018, 15:932-935. |
| Constantine et al., “Use of genechip high-density oligonucleotide arrays for gene expression monitoring,” Life Science News, Amersham Life Science, 1998, pp. 11-14. |
| Corces et al., “An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues,” Nat. Methods, 2017, 14(10):959-962. |
| Credle et al., “Multiplexed analysis of fixed tissue RNA using Ligation in situ Hybridization,” Nucleic Acids Research, 2017, 45(14):e128, 9 pages. |
| Crosetto et al., “Spatially resolved transcriptomics and beyond,” Nature Review Genetics, 2015, 16(1):57-66. |
| Cruz et al., “Methylation in cell-free DNA for early cancer detection,” Ann Oncol., Jun. 2018, 29(6):1351-1353. |
| Cujec et al., “Selection of v-Abl tyrosine kinase substrate sequences from randomized peptide and cellular proteomic libraries using mRNA display,” Chemistry and Biology, 2002, 9(2):253-264. |
| Czarnik, “Encoding methods for combinatorial chemistry,” Curr Opin Chem Biol., Jun. 1997, 1(1):60-6. |
| Dahl et al., “Circle-to-circle amplification for precise and sensitive DNA analysis,” Proc. Natl. Acad. Sci., 2004, 101(13):4548-4553. |
| Dalma-Weiszhausz et al., “The affymetrix GeneChip platform: an overview,” Methods Enzymol., 2006, 410:3-28. |
| Darmanis et al., “ProteinSeq: High-Performance Proteomic Analyses by Proximity, Ligation and Next Generation Sequencing,” PLos One, 2011, 6(9):e25583, 10 pages. |
| Daubendiek et al., “Rolling-Circle RNA Synthesis: Circular Oligonucleotides as Efficient Substrates for T7 RNA Polymerase,” J. Am. Chem. Soc., 1995, 117(29):7818-7819. |
| Davies et al., “How best to identify chromosomal interactions: a comparison of approaches,” Nat. Methods, 2017, 14(2):125-134. |
| Deamer et al., “Characterization of nucleic acids by Nanopore analysis,” Acc Chem Res., Oct. 2002, 35(10):817-25. |
| Dean et al., “Comprehensive human genome amplification using multiple displacement amplification,” Proc Natl. Acad. Sci. USA, 2002, 99(8):5261-66. |
| Dean et al., “Rapid Amplification Of Plasmid And Phage DNA Using Phi29 DNA Polymerase And Multiply-Primed Rolling Circle Amplification,” Genome Research, Jun. 2001, 11:1095-1099. |
| Deng et al., “Spatial Epigenome Sequencing at Tissue Scale and Cellular Level,” BioRxiv, Mar. 2021, 40 pages. |
| Dressman et al., “Transforming single DNA molecules into fluorescent magnetic particles for detection and enumeration of genetic variations,” Proc. Natl. Acad. Sci. USA, 2003, 100(15):8817-8822. |
| Drmanac et al., “CoolMPS™: Advanced massively parallel sequencing using antibodies specific to each natural nucleobase,” BioRxiv, 2020, 19 pages. |
| Druley et al., “Quantification of rare allelic variants from pooled genomic DNA,” Nat. Methods, 2009, 6(4):263-65. |
| Duncan et al., “Affinity chromatography of a sequence-specific DNA binding protein using Teflon-linked oligonucleotides,” Anal. Biochem., 1988, 169(1):104-108. |
| Eberwine, “Amplification of mRNA populations using aRNA generated from immobilized oligo(dT)-T7 primed cDNA,” BioTechniques, 1996, 20(4):584-91. |
| Eguiluz et al., “Multitissue array review: a chronological description of tissue array techniques, applications and procedures,” Pathology Research and Practice, 2006, 202(8):561-568. |
| Eldridge et al., “An in vitro selection strategy for conferring protease resistance to ligand binding peptides,” Protein Eng Des Sel., 2009, 22(11):691-698. |
| Ellington et al., “Antibody-based protein multiplex platforms: technical and operational challenges,” Clin Chem, 2010, 56(2):186-193. |
| Eng et al., “Profiling the transcriptome with RNA SPOTs,” Nat Methods., 2017, 14(12):1153-1155. |
| Eng et al., “Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+,” Nature, Apr. 2019, 568(7751):235-239, 37 pages. |
| Ergin et al., “Proteomic Analysis of PAXgene-Fixed Tissues,” J Proteome Res., 2010, 9(10):5188-96. |
| Evers et al., “The effect of formaldehyde fixation on RNA: optimization of formaldehyde adduct removal,” J Mol Diagn., May 2011, 13(3):282-8. |
| Fahy et al., “Design and synthesis of polyacrylamide-based oligonucleotide supports for use in nucleic acid diagnostics,” Nucleic Acids Res., Apr. 1993, 21(8):1819-26. |
| 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. |
| Fredriksson et al., “Protein detection using proximity-dependent DNA ligation assays,” Nature Biotech., 20: 473-77, 2002. |
| 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. |
| Github.com [online], “ST Spot Detector Usage Guide: A Guide to Using the Spatial Transcriptomics Spot Detector 2.0,” Jun. 2018, retrieved on Jul. 29, 2022, retrieved from URL <https://github.com/SpatialTranscriptomicsResearch/st_spot_detector/wiki/ST-Spot-Detector-Usage-Guide, 6 pages. |
| 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. |
| Hua et al., “Multi-level transcriptome sequencing identifies COL1A1 as a candidate marker in human heart failure progression,” BMC Med., Jan. 2020, 18(1):2, 16 pages. |
| Hughes et al., “Microfluidic Western blotting,” PNAS, Dec. 2012, 109(52):21450-21455. |
| Hycultbiotech.com, [online], “Immunohistochemistry, Paraffin” Apr. 2010, retrieved on Apr. 16, 2020, retrieved from URL<https://www.hycultbiotech.com/media/wysiwyg/Protocol_Immunohistochemistry_Paraffin_2.pdf>, 3 pages. |
| Ichikawa et al., “In vitro transposition of transposon Tn3,” J Biol. Chem., Nov. 1990, 265(31):18829-32, Abstract. |
| Illumina.com [online], “Ribo-Zero® rRNA Removal Kit Reference Guide,” Aug. 2016, retrieved on Apr. 26, 2022, retrieved from URL<https://jp.support.illumina.com/content/dam/illumina-support/documents/documentation/chemistry_documentation/ribosomal-depletion/ribo-zero/ribo-zero-reference-guide-15066012-02.pdf>, 36 pages. |
| Jamur et al., “Permeabilization of cell membranes.,” Method Mol. Biol., 2010, 588:63-66. |
| Jemt et al., “An automated approach to prepare tissue-derived spatially barcoded RNA-sequencing libraries,” Scientific Reports, 2016, 6:37137, 10 pages. |
| Jensen et al., “Zinc fixation preserves flow cytometry scatter and fluorescence parameters and allows simultaneous analysis of DNA content and synthesis, and intracellular and surface epitopes,” Cytometry A., Aug. 2010, 77(8):798-804. |
| Jucá et al., “Effect of dimethyl sulfoxide on reverse transcriptase activity,” Braz. J. Med. Biol. Res., Mar. 1995, 28(3):285-90. |
| Kalantari et al., “Deparaffinization of formalin-fixed paraffin-embedded tissue blocks using hot water instead of xylene,” Anal Biochem., Aug. 2016, 507:71-3. |
| Kap et al., “Histological assessment of PAXgene tissue fixation and stabilization reagents,” PLoS One, 2011, 6:e27704, 10 pages. |
| Kapteyn et al., “Incorporation of non-natural nucleotides into template-switching oligonucleotides reduces background and improves cDNA synthesis from very small RNA samples,” BMC Genomics, Jul. 2010, 11:413, 9 pages. |
| Karmakar et al., “Organocatalytic removal of formaldehyde adducts from RNA and DNA bases,” Nature Chemistry, Aug. 3, 2015, 7(9):752-758. |
| Kaya-Okur et al., “CUT&Tag for efficient epigenomic profiling of small samples and single cells,” Apr. 2019, 10(1):1930, 10 pages. |
| Ke et al., “In situ sequencing for RNA analysis in preserved tissue and cells,” Nat Methods., Sep. 2013, Supplementary Materials, 29 pages. |
| Kennedy-Darling et al., “Measuring the Formaldehyde Protein-DNA Cross-Link Reversal Rate,” Analytical Chemistry, 2014, 86(12):5678-5681. |
| Kent et al., “Polymerase θ is a robust terminal transferase that oscillates between three different mechanisms during end-joining” Elife, Jun. 2016, 5:e13740, 25 pages. |
| Kirby et al., “Cryptic plasmids of Mycobacterium avium: Tn552 to the rescue,” Mol Microbiol., Jan. 2002, 43(1):173-86. |
| Kleckner et al., “Tn10 and IS10 transposition and chromosome rearrangements: mechanism and regulation in vivo and in vitro,” Curr Top Microbiol Immunol., 1996, 204:49-82. |
| Korbel et al., “Paired-end mapping reveals extensive structural variation in the human genome,” Science, 2007, 318(5849):420-426. |
| Kozlov et al., “A highly scalable peptide-based assay system for proteomics,” PLoS ONE, 2012, 7(6):e37441, 10 pages. |
| Kozlov et al., “A method for rapid protease substrate evaluation and optimization,” Comb Chem High Throughput Screen, 2006, 9(6):481-87. |
| Kristensen et al., “High-Throughput Methods for Detection of Genetic Variation,” BioTechniques, Feb. 2001, 30(2):318-332. |
| Krzywkowski et al., “Chimeric padlock and iLock probes for increased efficiency of targeted RNA detection,” RNA, Jan. 2019, 25(1):82-89. |
| Krzywkowski et al., “Fidelity of RNA templated end-joining by Chlorella virus DNA ligase and a novel iLock assay with improved direct RNA detection accuracy,” Nucleic Acids Research, Oct. 2017, 45(18):e161, 9 pages. |
| Kumar et al., “Template-directed oligonucleotide strand ligation, covalent intramolecular DNA circularization and catenation using click chemistry,” J Am Chem Soc., May 2007, 129(21):6859-64. |
| Kurz et al., “cDNA—protein fusions: covalent protein—gene conjugates for the in vitro selection of peptides and proteins,” ChemBioChem., 2001, 2(9):666-72. |
| Kwok, “High-throughput genotyping assay approaches,” Pharmocogenomics, Feb. 2000, 1(1):95-100. |
| Lage et al., “Whole genome analysis of genetic alterations in small DNA samples using hyperbranched strand displacement amplification and array-CGH,” Genome Research, 2003, 13(2):294-307. |
| Lahiani et al., “Enabling Histopathological Annotations on Immunofluorescent Images through Virtualization of Hematoxylin and Eosin,” J Pathol Inform., Feb. 2018, 9:1, 8 pages. |
| Lampe et al., “A purified mariner transposase is sufficient to mediate transposition in vitro,” EMBO J., Oct. 1996, 15(19):5470-9. |
| Lamture et al., “Direct detection of nucleic acid hybridization on the surface of a charge coupled device,” Nucleic Acid Res., Jun. 1994, 22(11):2121-5. |
| 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. |
| Maniatis et al., “Spatiotemporal Dynamics of Molecular Pathology in Amyotrophic Lateral Sclerosis”, 54 pages, 2018. |
| 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 Sau3 A,” 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. |
| Moncada et al., “Building a tumor atlas: integrating single-cell RNA-Seq data with spatial transcriptomics in pancreatic ductal adenocarcinoma”, Institute for Computational Medicine, bioRxiv, 28 pages, 2018. |
| 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 profiting,” 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. |
| Navarro et al., “ST viewer: a tool for analysis and visualization of spatial transcriptomics datasets: Supplementary Information,” Bioinformatics, Mar. 2019, 1058-1060. |
| 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/US2019/013388, dated Jun. 5, 2019, 23 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/US2021/061401, dated Mar. 4, 2022, 16 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 Tc1/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. |
| 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)4071-8. |
| Trejo et al., “Extraction-free whole transcriptome gene expression analysis of FFPE sections and histology-directed subareas of tissue,” PLoS ONE, Feb. 2019, 14(2):e0212031, 22 pages. |
| Tu et al., “TCR sequencing paired with massively parallel 3′ RNA-seq reveals clonotypic T cell signatures,” Nature Immunology, Dec. 2019, 20(12):1692-1699. |
| Twyman et al., “Techniques Patents for SNP Genotyping,” Pharmacogenomics, Jan. 2003, 4(1):67-79. |
| Ulery et al., “Biomedical Applications of Biodegradable Polymers,” J Polym Sci B Polym Phys., Jun. 2011, 49(12):832-864. |
| U.S. Appl. No. 60/416,118 Fan et al., Multiplex Nucleic Acid Analysis Using Archived or Fixed Samples, filed Oct. 3, 2002, 22 pages. |
| Van Gelder et al., “Amplified RNA synthesized from limited quantities of heterogeneous cDNA,” Proc. Natl. Acad. Sci. USA, 1990, 87(5):1663-1667. |
| Vandenbroucke et al., “Quantification of splice variants using real-time PCR,” Nucleic Acids Research, 2001, 29(13):e68, 7 pages. |
| Vandernoot et al., “cDNA normalization by hydroxyapatite chromatography to enrich transcriptome diversity in RNA-seq applications,” Biotechniques, Dec. 2012, 53(6):373-80. |
| Vasiliskov et al., “Fabrication of microarray of gel-immobilized compounds on a chip by copolymerization,” Biotechniques, Sep. 1999, 27(3):592-606. |
| Vázquez Bernat et al., “High-Quality Library Preparation for NGS-Based Immunoglobulin Germline Gene Inference and Repertoire Expression Analysis,” Front Immunol., Apr. 2019, 10:660, 12 pages. |
| Velculescu et al., “Serial analysis of gene expression,” Science, Oct. 1995, 270(5235):484-7. |
| Vickovic et al., “High-definition spatial transcriptomics for in situ tissue profiling,” Nat Methods, Oct. 2019, 16(10):987-990. |
| Vickovic et al., “SM-Omics: An automated Platform for High-Throughput Spatial Multi-Omics,” bioRxiv, Oct. 2020, 40 pages. |
| Vincent et al., “Helicase-dependent isothermal DNA amplification,” EMBO Rep., Aug. 2004, 5(8):795-800. |
| Viollet et al., “T4 RNA ligase 2 truncated active site mutants: improved tools for RNA analysis,” BMC Biotechnol., Jul. 2011, 11:72, 14 pages. |
| Vogelstein et al., “Digital PCR,” Proceedings of the National Academy of Sciences, Aug. 1999, 96(16):9236-9241. |
| Waichman et al., “Functional immobilization and patterning of proteins by an enzymatic transfer reaction,” Analytical chemistry, 2010, 82(4):1478-85. |
| Walker et al., “Strand displacement amplification-an isothermal, in vitro DNA amplification technique,” Nucleic Acids Research, 1992, 20(7):1691-1696. |
| Wang et al., “Concentration gradient generation methods based on microfluidic systems,” RSC Adv., 2017, 7:29966-29984. |
| Wang et al., “High-fidelity mRNA amplification for gene profiling,” Nature Biotechnology, Apr. 2000, 18(4):457-459. |
| Wang et al., “Imaging-based pooled CRISPR screening reveals regulators of 1ncRNA 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. |
| Weimeich 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. |
| Wilbrey-Clark et al., “Cell Atlas technologies and insights into tissue architecture,” Biochemical Journal, Apr. 2020, 477(8):1427-1442. |
| 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. |
| Wong et al., “ST Spot Detector: a web-based application for automatic spot and tissue detection for Spatial Transcriptomics image datasets,” Bioinformatics, Jan. 2018, 34(11):1966-1968. |
| 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. |
| 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 probes†,” Chem. Commun., 2013, 49:10013-10015. |
| Zhao et al., “Isothermal Amplification of Nucleic Acids,” Chemical Reviews, Nov. 2015, 115(22):12491-12545. |
| Zheng et al., “Origins of human mitochondrial point mutations as DNA polymerase gamma-mediated errors,” Mutat. Res., 2006, 599(1-2):11-20. |
| Zhou et al., “Genetically encoded short peptide tags for orthogonal protein labeling by Sfp and AcpS phosphopantetheinyl transferases,” ACS Chemical Biol., 2007, 2(5):337-346. |
| Zhu et al., “Reverse transcriptase template switching: a SMART approach for full-length cDNA library construction,” Biotechniques, Apr. 2001, 30(4):892-897. |
| 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. |
| Stoeckius et al., “Simultaneous epitope and transcriptome measurement in single cells,” Nature Methods, Jul. 31, 2017, 14(9):865-868. |
| 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. |
| Number | Date | Country | |
|---|---|---|---|
| 20230113230 A1 | Apr 2023 | US |
| Number | Date | Country | |
|---|---|---|---|
| 63252323 | Oct 2021 | US | |
| 63148825 | Feb 2021 | US | |
| 63128796 | Dec 2020 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | PCT/US2021/061401 | Dec 2021 | US |
| Child | 17871525 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 17871525 | Jul 2022 | US |
| Child | 17976422 | US |
