Review



spatial transcriptomics st  (Spatial Transcriptomics Inc)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 86
      Buy from Supplier

    Structured Review

    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/visium+array+slide/spatial+st+technologies+transcriptomics/pmc09979144-228-21-21
    Average 86 stars, based on 1 article reviews
    spatial transcriptomics st - by Bioz Stars, 2026-11
    86/100 stars

    Images

    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

    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.

    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
    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: 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 ]. ..

    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. ..

    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 ]. ..



    Similar Products

    genomics visium array slides  (10X Genomics)
    86
    10X Genomics genomics visium array slides
    Fig. 5. SHT regulates genes expression in renal outer CTX. (A) The experimental design of spatial multi-omics. (B) UMAP dimensionality reduction of spatially resolved transcriptomic spots to visualize clusters. The x-axis and y-axis stand for PC1 and PC2 of UMAP dimensionality reduction in the above figure. Every point in the panel symbolizes a spot. Different colored spots represent different groups. Following the color of the above figure, the below panel depicts the precise spatial distribution of various clusters in the tissue slice of each sample. (C) The heatmap showing the relative intensities of differential gene expression in the outer CTX, inner CTX, outer MDLA, and inner MDLA across the three experimental groups. (D) Oat of tissue map in situ based on 10 <t>×</t> <t>Genomics</t> <t>Visium</t> platform. (E) IHC showing the distribution of Odc1 in renal outer CTX of rats in the three experimental groups. Scale, 50 µm.
    Genomics Visium Array Slides, supplied by 10X Genomics, 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/visium+array+slide/expression+gene+slides+spatial+visium/pm40233505-106-17-21
    Average 86 stars, based on 1 article reviews
    genomics visium array slides - by Bioz Stars, 2026-11
    86/100 stars
    		  Buy from Supplier
    visium array slide  (10X Genomics)
    86
    10X Genomics visium array slide
    Fig. 5. SHT regulates genes expression in renal outer CTX. (A) The experimental design of spatial multi-omics. (B) UMAP dimensionality reduction of spatially resolved transcriptomic spots to visualize clusters. The x-axis and y-axis stand for PC1 and PC2 of UMAP dimensionality reduction in the above figure. Every point in the panel symbolizes a spot. Different colored spots represent different groups. Following the color of the above figure, the below panel depicts the precise spatial distribution of various clusters in the tissue slice of each sample. (C) The heatmap showing the relative intensities of differential gene expression in the outer CTX, inner CTX, outer MDLA, and inner MDLA across the three experimental groups. (D) Oat of tissue map in situ based on 10 <t>×</t> <t>Genomics</t> <t>Visium</t> platform. (E) IHC showing the distribution of Odc1 in renal outer CTX of rats in the three experimental groups. Scale, 50 µm.
    Visium Array Slide, supplied by 10X Genomics, 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/visium+array+slide/expression+gene+slides+spatial+visium/pm38976559-382-7-18
    Average 86 stars, based on 1 article reviews
    visium array slide - by Bioz Stars, 2026-11
    86/100 stars
    		  Buy from Supplier

    Image Search Results


    Fig. 5. SHT regulates genes expression in renal outer CTX. (A) The experimental design of spatial multi-omics. (B) UMAP dimensionality reduction of spatially resolved transcriptomic spots to visualize clusters. The x-axis and y-axis stand for PC1 and PC2 of UMAP dimensionality reduction in the above figure. Every point in the panel symbolizes a spot. Different colored spots represent different groups. Following the color of the above figure, the below panel depicts the precise spatial distribution of various clusters in the tissue slice of each sample. (C) The heatmap showing the relative intensities of differential gene expression in the outer CTX, inner CTX, outer MDLA, and inner MDLA across the three experimental groups. (D) Oat of tissue map in situ based on 10 × Genomics Visium platform. (E) IHC showing the distribution of Odc1 in renal outer CTX of rats in the three experimental groups. Scale, 50 µm.

    Journal: Phytomedicine : international journal of phytotherapy and phytopharmacology

    Article Title: Spatially resolved multi-omics reveals the renal cortex-metabolic reprogramming of Shenhua Tablet for intervention on IgA nephropathy.

    doi: 10.1016/j.phymed.2025.156742

    Figure Lengend Snippet: Fig. 5. SHT regulates genes expression in renal outer CTX. (A) The experimental design of spatial multi-omics. (B) UMAP dimensionality reduction of spatially resolved transcriptomic spots to visualize clusters. The x-axis and y-axis stand for PC1 and PC2 of UMAP dimensionality reduction in the above figure. Every point in the panel symbolizes a spot. Different colored spots represent different groups. Following the color of the above figure, the below panel depicts the precise spatial distribution of various clusters in the tissue slice of each sample. (C) The heatmap showing the relative intensities of differential gene expression in the outer CTX, inner CTX, outer MDLA, and inner MDLA across the three experimental groups. (D) Oat of tissue map in situ based on 10 × Genomics Visium platform. (E) IHC showing the distribution of Odc1 in renal outer CTX of rats in the three experimental groups. Scale, 50 µm.

    Article Snippet: Two adjacent slices were placed on the SUPERFROST PLUS slides (Thermo Fisher, the USA) and 10 × Genomics Visium array slides (https://www.10xgenomics.co m/) for spatial metabolomics and transcriptomics analyses, respectively.

    Techniques: Expressing, Biomarker Discovery, Gene Expression, In Situ

    Fig. 6. SHT regulates the transcriptional heterogeneity of glomeruli and renal tubules in the outer CTX. (A) UMAP and in situ image showing the spatial distribution of diseased and normal glomeruli and renal tubules in the renal outer CTX of rats in the three group samples. (B) Spatial images and expression levels of G6pc1, Pck1, and Gpx3 in glomeruli based on 10x Genomics Visium platform. (C) The correlation analysis showing the negative correlation between G6pc1 and ascorbic acid, whereas the positive correlation between Gpx3 and NAD in renal tubules. The graph below displaying the spatial distribution of ascorbic acid and NAD. (D) Spatial images and expression levels of Gclc, Gpx3, and Oat in glomeruli based on 10x Genomics Visium platform.

    Journal: Phytomedicine : international journal of phytotherapy and phytopharmacology

    Article Title: Spatially resolved multi-omics reveals the renal cortex-metabolic reprogramming of Shenhua Tablet for intervention on IgA nephropathy.

    doi: 10.1016/j.phymed.2025.156742

    Figure Lengend Snippet: Fig. 6. SHT regulates the transcriptional heterogeneity of glomeruli and renal tubules in the outer CTX. (A) UMAP and in situ image showing the spatial distribution of diseased and normal glomeruli and renal tubules in the renal outer CTX of rats in the three group samples. (B) Spatial images and expression levels of G6pc1, Pck1, and Gpx3 in glomeruli based on 10x Genomics Visium platform. (C) The correlation analysis showing the negative correlation between G6pc1 and ascorbic acid, whereas the positive correlation between Gpx3 and NAD in renal tubules. The graph below displaying the spatial distribution of ascorbic acid and NAD. (D) Spatial images and expression levels of Gclc, Gpx3, and Oat in glomeruli based on 10x Genomics Visium platform.

    Article Snippet: Two adjacent slices were placed on the SUPERFROST PLUS slides (Thermo Fisher, the USA) and 10 × Genomics Visium array slides (https://www.10xgenomics.co m/) for spatial metabolomics and transcriptomics analyses, respectively.

    Techniques: In Situ, Expressing