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spatial transcriptomics st  (Spatial Transcriptomics Inc)

 
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    Spatial Transcriptomics Inc spatial transcriptomics st
    Spatial multi-ome profiling of tissue samples can be achieved by applying spatial mono-omics assays separately on adjacent or serial tissue sections (part a ) or in a combined way on the same tissue section (parts b – e ). a , Serial fresh-frozen or formalin-fixed paraffin-embedded (FFPE) tissue sections can be analysed using different spatial mono-omic assays, potentially also combining with morphological stainings and annotations on the same or adjacent sections, followed by computational data integration. b , Microfluidic deterministic barcoding strategies in tissue allow next-generation sequencing (NGS)-based spatial multi-omics profiling of transcriptome-plus-proteins, as in DBiT-seq and Spatial-CITE-seq , and epigenome-plus-transcriptome, as in ATAC&RNA-seq and CUT&Tag-RNAseq . Using dual microfluidic chip-based spatial barcoding of poly(A) RNAs together with proteins or epigenome information at the crossroads of chip channels, a spatially barcoded 2D pixel map of the tissue is created. c , Advanced fluorescence in situ hybridization (FISH)-based methods, including MERFISH , , and seqFISH+ , , , allow microscopy-based identification of thousands of transcripts together with genomic loci in single cells, in addition to being compatible with limited protein readouts using fluorescent or DNA-conjugated antibody readout strategies. These high-resolution imaging methods leverage predefined optical barcoding schemes and complex encoding and readout probe designs. d , Array-based assays, including Spatial <t>Transcriptomics</t> (ST) and 10x Genomics Visium , make use of slides with arrayed oligo-dT spots for capturing and spatial barcoding of poly(A) RNAs followed by NGS profiling. This can be combined with upfront haematoxylin and eosin (H&E) staining or limited protein antibody staining and tissue imaging for spatial mapping. In SM-Omics and SPOTS , these technologies have also been shown to be compatible with antibody-derived tag (ADT)-conjugated antibody-based co-profiling of a larger number of proteins. e , NanoString GeoMx digital spatial profiling (DSP) , , allows quantification of RNAs and proteins in specific regions of interest (ROIs) by counting uniquely barcoded oligonucleotides that are covalently linked through a UV-photocleavable linker with probes or antibodies. Tissue marker staining, imaging, ROI selection and illumination by directed UV light causes disintegration of the photocleavable linkers that are collected and profiled by NGS, followed by spatial mapping to the ROIs. cDNA, complementary DNA; gDNA, genomic DNA; OCT, optimal cutting temperature compound; UMI, unique molecular identifier.
    Spatial Transcriptomics St, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/array-based+spatial+transcriptomics+visium+10x/spatial+st+technologies+transcriptomics/pmc09979144-228-21-21
    Average 86 stars, based on 1 article reviews
    spatial transcriptomics st - by Bioz Stars, 2026-09
    86/100 stars

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    1) Product Images from "Methods and applications for single-cell and spatial multi-omics"

    Article Title: Methods and applications for single-cell and spatial multi-omics

    Journal: Nature Reviews. Genetics

    doi: 10.1038/s41576-023-00580-2

    Spatial multi-ome profiling of tissue samples can be achieved by applying spatial mono-omics assays separately on adjacent or serial tissue sections (part a ) or in a combined way on the same tissue section (parts b – e ). a , Serial fresh-frozen or formalin-fixed paraffin-embedded (FFPE) tissue sections can be analysed using different spatial mono-omic assays, potentially also combining with morphological stainings and annotations on the same or adjacent sections, followed by computational data integration. b , Microfluidic deterministic barcoding strategies in tissue allow next-generation sequencing (NGS)-based spatial multi-omics profiling of transcriptome-plus-proteins, as in DBiT-seq and Spatial-CITE-seq , and epigenome-plus-transcriptome, as in ATAC&RNA-seq and CUT&Tag-RNAseq . Using dual microfluidic chip-based spatial barcoding of poly(A) RNAs together with proteins or epigenome information at the crossroads of chip channels, a spatially barcoded 2D pixel map of the tissue is created. c , Advanced fluorescence in situ hybridization (FISH)-based methods, including MERFISH , , and seqFISH+ , , , allow microscopy-based identification of thousands of transcripts together with genomic loci in single cells, in addition to being compatible with limited protein readouts using fluorescent or DNA-conjugated antibody readout strategies. These high-resolution imaging methods leverage predefined optical barcoding schemes and complex encoding and readout probe designs. d , Array-based assays, including Spatial Transcriptomics (ST) and 10x Genomics Visium , make use of slides with arrayed oligo-dT spots for capturing and spatial barcoding of poly(A) RNAs followed by NGS profiling. This can be combined with upfront haematoxylin and eosin (H&E) staining or limited protein antibody staining and tissue imaging for spatial mapping. In SM-Omics and SPOTS , these technologies have also been shown to be compatible with antibody-derived tag (ADT)-conjugated antibody-based co-profiling of a larger number of proteins. e , NanoString GeoMx digital spatial profiling (DSP) , , allows quantification of RNAs and proteins in specific regions of interest (ROIs) by counting uniquely barcoded oligonucleotides that are covalently linked through a UV-photocleavable linker with probes or antibodies. Tissue marker staining, imaging, ROI selection and illumination by directed UV light causes disintegration of the photocleavable linkers that are collected and profiled by NGS, followed by spatial mapping to the ROIs. cDNA, complementary DNA; gDNA, genomic DNA; OCT, optimal cutting temperature compound; UMI, unique molecular identifier.
    Figure Legend Snippet: Spatial multi-ome profiling of tissue samples can be achieved by applying spatial mono-omics assays separately on adjacent or serial tissue sections (part a ) or in a combined way on the same tissue section (parts b – e ). a , Serial fresh-frozen or formalin-fixed paraffin-embedded (FFPE) tissue sections can be analysed using different spatial mono-omic assays, potentially also combining with morphological stainings and annotations on the same or adjacent sections, followed by computational data integration. b , Microfluidic deterministic barcoding strategies in tissue allow next-generation sequencing (NGS)-based spatial multi-omics profiling of transcriptome-plus-proteins, as in DBiT-seq and Spatial-CITE-seq , and epigenome-plus-transcriptome, as in ATAC&RNA-seq and CUT&Tag-RNAseq . Using dual microfluidic chip-based spatial barcoding of poly(A) RNAs together with proteins or epigenome information at the crossroads of chip channels, a spatially barcoded 2D pixel map of the tissue is created. c , Advanced fluorescence in situ hybridization (FISH)-based methods, including MERFISH , , and seqFISH+ , , , allow microscopy-based identification of thousands of transcripts together with genomic loci in single cells, in addition to being compatible with limited protein readouts using fluorescent or DNA-conjugated antibody readout strategies. These high-resolution imaging methods leverage predefined optical barcoding schemes and complex encoding and readout probe designs. d , Array-based assays, including Spatial Transcriptomics (ST) and 10x Genomics Visium , make use of slides with arrayed oligo-dT spots for capturing and spatial barcoding of poly(A) RNAs followed by NGS profiling. This can be combined with upfront haematoxylin and eosin (H&E) staining or limited protein antibody staining and tissue imaging for spatial mapping. In SM-Omics and SPOTS , these technologies have also been shown to be compatible with antibody-derived tag (ADT)-conjugated antibody-based co-profiling of a larger number of proteins. e , NanoString GeoMx digital spatial profiling (DSP) , , allows quantification of RNAs and proteins in specific regions of interest (ROIs) by counting uniquely barcoded oligonucleotides that are covalently linked through a UV-photocleavable linker with probes or antibodies. Tissue marker staining, imaging, ROI selection and illumination by directed UV light causes disintegration of the photocleavable linkers that are collected and profiled by NGS, followed by spatial mapping to the ROIs. cDNA, complementary DNA; gDNA, genomic DNA; OCT, optimal cutting temperature compound; UMI, unique molecular identifier.

    Techniques Used: Formalin-fixed Paraffin-Embedded, Next-Generation Sequencing, Biomarker Discovery, RNA Sequencing, Fluorescence, In Situ Hybridization, Microscopy, Imaging, Staining, Derivative Assay, Marker, Selection

    Related Articles

    Spatial Transcriptomics:

    Article Title: A technical comparison of spatial transcriptomics platforms across six cancer types.
    Article Snippet: .. Background Spatial transcriptomics (ST) technologies are reshaping our understanding of tissue organization and cellular context in health and disease. ..

    Article Title: Mapping biology in space: from spatial transcriptomics platforms to analytical tools and databases.
    Article Snippet: .. Spatial transcriptomics (ST) technologies have addressed this gap by enabling the quantification of gene expression in intact tissue sections, preserving both spatial localization and, in some cases, the three-dimensional (3D) architecture of molecular processes. ..

    Article Title: SpaLLM: a general framework for spatial domain identification with large language models
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    Article Title: Reconstructing Coherent Functional Landscape From Multi-Modal Multi-Slice Spatial Transcriptomics by a Variational Spatial Gaussian Process.
    Article Snippet: .. Spatial transcriptomics (ST) technologies enable highthroughput gene expression profiling while preserving spatial context within tissues in situ [ 1–5 ]. ..

    Article Title: A technical comparison of spatial transcriptomics platforms across six cancer types.
    Article Snippet: .. Spatial transcriptomics (ST) technologies are reshaping our understanding of tissue organization and cellular context in health and disease. ..

    other:

    Article Title: Comprehensive benchmarking of batch integration methods for spatial transcriptomics using a large-scale cancer atlas
    Article Snippet: Spatial transcriptomics (ST) technologies capture mRNA counts with spatial context, complementing singlecell and bulk transcriptomics.

    Gene Expression:

    Article Title: Mapping biology in space: from spatial transcriptomics platforms to analytical tools and databases.
    Article Snippet: .. Spatial transcriptomics (ST) technologies have addressed this gap by enabling the quantification of gene expression in intact tissue sections, preserving both spatial localization and, in some cases, the three-dimensional (3D) architecture of molecular processes. ..

    Article Title: SpaLLM: a general framework for spatial domain identification with large language models
    Article Snippet: .. Spatial transcriptomics (ST) technologies have revolutionized our understanding of tissue architecture by enabling simultaneous measurement of gene expression and spatial location information ( ; ; ). ..

    Article Title: Robust and interpretable prediction of gene markers and cell types from spatial transcriptomics data.
    Article Snippet: .. 24 Spatial transcriptomics (ST) links tissue morphology with gene expression values, opening new avenues for digital pathology. ..

    Article Title: SpaLLM: a general framework for spatial domain identification with large language models
    Article Snippet: .. Spatial transcriptomics (ST) technologies enable the profiling of gene expression while preserving spatial context, offering unprecedented insights into tissue organization. ..

    Article Title: Reconstructing Coherent Functional Landscape From Multi-Modal Multi-Slice Spatial Transcriptomics by a Variational Spatial Gaussian Process.
    Article Snippet: .. Spatial transcriptomics (ST) technologies enable highthroughput gene expression profiling while preserving spatial context within tissues in situ [ 1–5 ]. ..

    Preserving:

    Article Title: Mapping biology in space: from spatial transcriptomics platforms to analytical tools and databases.
    Article Snippet: .. Spatial transcriptomics (ST) technologies have addressed this gap by enabling the quantification of gene expression in intact tissue sections, preserving both spatial localization and, in some cases, the three-dimensional (3D) architecture of molecular processes. ..

    Article Title: SpaLLM: a general framework for spatial domain identification with large language models
    Article Snippet: .. Spatial transcriptomics (ST) technologies enable the profiling of gene expression while preserving spatial context, offering unprecedented insights into tissue organization. ..

    Article Title: Reconstructing Coherent Functional Landscape From Multi-Modal Multi-Slice Spatial Transcriptomics by a Variational Spatial Gaussian Process.
    Article Snippet: .. Spatial transcriptomics (ST) technologies enable highthroughput gene expression profiling while preserving spatial context within tissues in situ [ 1–5 ]. ..

    High Throughput Screening Assay:

    Article Title: Reconstructing Coherent Functional Landscape From Multi-Modal Multi-Slice Spatial Transcriptomics by a Variational Spatial Gaussian Process.
    Article Snippet: .. Spatial transcriptomics (ST) technologies enable highthroughput gene expression profiling while preserving spatial context within tissues in situ [ 1–5 ]. ..

    In Situ:

    Article Title: Reconstructing Coherent Functional Landscape From Multi-Modal Multi-Slice Spatial Transcriptomics by a Variational Spatial Gaussian Process.
    Article Snippet: .. Spatial transcriptomics (ST) technologies enable highthroughput gene expression profiling while preserving spatial context within tissues in situ [ 1–5 ]. ..



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