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10x visium spatial transcriptomic spots  (Spatial Transcriptomics Inc)

 
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    Spatial Transcriptomics Inc 10x visium spatial transcriptomic spots
    10x Visium Spatial Transcriptomic Spots, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/10x+visium+spatial+transcriptomic+spots/10x+spatial+transcriptomics/pm40653490-249-22-2
    Average 90 stars, based on 1 article reviews
    10x visium spatial transcriptomic spots - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Spatial Transcriptomics:

    Article Title: Molecular pathology of acute spinal cord injury in middle-aged mice
    Article Snippet: .. Fig. 3 Spatial transcriptomics identifies distinct domains in and around the injury site that are similar between young and middle-aged mice. ( A ) 10X Visium spatial transcriptomic spots were clustered based on gene expression and mapped on the injury site to identify eight distinct spatial domains that were named based on a combination of marker genes, Gene Ontology terms, and spatial location. ( B ) Heatmap of top differentially expressed genes for each spatial domain. ..

    Article Title: Molecular pathology of acute spinal cord injury in middle-aged mice.
    Article Snippet: .. Fig. 3 Spatial transcriptomics identifies distinct domains in and around the injury site that are similar between young and middle-aged mice. (A) 10X Visium spatial transcriptomic spots were clustered based on gene expression and mapped on the injury site to identify eight distinct spatial domains that were named based on a combination of marker genes, Gene Ontology terms, and spatial location. (B) Heatmap of top differentially expressed genes for each spatial domain. ..

    Mouse Assay:

    Article Title: Molecular pathology of acute spinal cord injury in middle-aged mice
    Article Snippet: .. Fig. 3 Spatial transcriptomics identifies distinct domains in and around the injury site that are similar between young and middle-aged mice. ( A ) 10X Visium spatial transcriptomic spots were clustered based on gene expression and mapped on the injury site to identify eight distinct spatial domains that were named based on a combination of marker genes, Gene Ontology terms, and spatial location. ( B ) Heatmap of top differentially expressed genes for each spatial domain. ..

    Gene Expression:

    Article Title: Molecular pathology of acute spinal cord injury in middle-aged mice
    Article Snippet: .. Fig. 3 Spatial transcriptomics identifies distinct domains in and around the injury site that are similar between young and middle-aged mice. ( A ) 10X Visium spatial transcriptomic spots were clustered based on gene expression and mapped on the injury site to identify eight distinct spatial domains that were named based on a combination of marker genes, Gene Ontology terms, and spatial location. ( B ) Heatmap of top differentially expressed genes for each spatial domain. ..

    Article Title: Molecular pathology of acute spinal cord injury in middle-aged mice.
    Article Snippet: .. Fig. 3 Spatial transcriptomics identifies distinct domains in and around the injury site that are similar between young and middle-aged mice. (A) 10X Visium spatial transcriptomic spots were clustered based on gene expression and mapped on the injury site to identify eight distinct spatial domains that were named based on a combination of marker genes, Gene Ontology terms, and spatial location. (B) Heatmap of top differentially expressed genes for each spatial domain. ..

    Marker:

    Article Title: Molecular pathology of acute spinal cord injury in middle-aged mice
    Article Snippet: .. Fig. 3 Spatial transcriptomics identifies distinct domains in and around the injury site that are similar between young and middle-aged mice. ( A ) 10X Visium spatial transcriptomic spots were clustered based on gene expression and mapped on the injury site to identify eight distinct spatial domains that were named based on a combination of marker genes, Gene Ontology terms, and spatial location. ( B ) Heatmap of top differentially expressed genes for each spatial domain. ..

    Article Title: Molecular pathology of acute spinal cord injury in middle-aged mice.
    Article Snippet: .. Fig. 3 Spatial transcriptomics identifies distinct domains in and around the injury site that are similar between young and middle-aged mice. (A) 10X Visium spatial transcriptomic spots were clustered based on gene expression and mapped on the injury site to identify eight distinct spatial domains that were named based on a combination of marker genes, Gene Ontology terms, and spatial location. (B) Heatmap of top differentially expressed genes for each spatial domain. ..



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    10x visium spatial transcriptomic spots  (Spatial Transcriptomics Inc)
    90
    Spatial Transcriptomics Inc 10x visium spatial transcriptomic spots
    10x Visium Spatial Transcriptomic Spots, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/10x+visium+spatial+transcriptomic+spots/10x+spatial+transcriptomics/pm40653490-249-22-2
    Average 90 stars, based on 1 article reviews
    10x visium spatial transcriptomic spots - by Bioz Stars, 2026-09
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    		  Buy from Supplier
    spot-based 10x visium spatial transcriptomics  (Spatial Transcriptomics Inc)
    90
    Spatial Transcriptomics Inc spot-based 10x visium spatial transcriptomics
    Contextualizing scRNAseq data using SpaceMarkers and transfer learning from matched ST-scRNAseq data in HCC (see also and ). A. CoGAPS factorization reveals spatial patterns associated with tumor annotations of tumor and immune cells. (see ). B. Scatterpie visualization shows the relative pattern activity levels associated with the spatially overlapping tumor (orange) and immune (blue) patterns in each <t>Visium</t> spot using a pie chart (white represents activity from all other patterns). SpaceMarkers are genes exhibiting nonlinear effects in the residual space of the CoGAPS patterns in the region with tumor-immune overlap. C. Transfer learning of Patterns 1, 2, and 8 from ST data to matched scRNAseq data. Scatter plot shows projections of the spatial patterns onto individual cells in the scRNAseq data. Individual cells in the scRNAseq data are associated with the pattern having the highest projection in the cell. D. Expression heatmap of SpaceMarkers in tumor and immune cells from matched single-cell data from the same tumor provide the spatial context of the individual cells.
    Spot Based 10x Visium Spatial Transcriptomics, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/10x+visium+spatial+transcriptomic+spots/10x+spatial+transcriptomics/bio_rxiv__2022__06__02__490672-41-12-15
    Average 90 stars, based on 1 article reviews
    spot-based 10x visium spatial transcriptomics - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

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    Contextualizing scRNAseq data using SpaceMarkers and transfer learning from matched ST-scRNAseq data in HCC (see also and ). A. CoGAPS factorization reveals spatial patterns associated with tumor annotations of tumor and immune cells. (see ). B. Scatterpie visualization shows the relative pattern activity levels associated with the spatially overlapping tumor (orange) and immune (blue) patterns in each Visium spot using a pie chart (white represents activity from all other patterns). SpaceMarkers are genes exhibiting nonlinear effects in the residual space of the CoGAPS patterns in the region with tumor-immune overlap. C. Transfer learning of Patterns 1, 2, and 8 from ST data to matched scRNAseq data. Scatter plot shows projections of the spatial patterns onto individual cells in the scRNAseq data. Individual cells in the scRNAseq data are associated with the pattern having the highest projection in the cell. D. Expression heatmap of SpaceMarkers in tumor and immune cells from matched single-cell data from the same tumor provide the spatial context of the individual cells.

    Journal: bioRxiv

    Article Title: Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces

    doi: 10.1101/2022.06.02.490672

    Figure Lengend Snippet: Contextualizing scRNAseq data using SpaceMarkers and transfer learning from matched ST-scRNAseq data in HCC (see also and ). A. CoGAPS factorization reveals spatial patterns associated with tumor annotations of tumor and immune cells. (see ). B. Scatterpie visualization shows the relative pattern activity levels associated with the spatially overlapping tumor (orange) and immune (blue) patterns in each Visium spot using a pie chart (white represents activity from all other patterns). SpaceMarkers are genes exhibiting nonlinear effects in the residual space of the CoGAPS patterns in the region with tumor-immune overlap. C. Transfer learning of Patterns 1, 2, and 8 from ST data to matched scRNAseq data. Scatter plot shows projections of the spatial patterns onto individual cells in the scRNAseq data. Individual cells in the scRNAseq data are associated with the pattern having the highest projection in the cell. D. Expression heatmap of SpaceMarkers in tumor and immune cells from matched single-cell data from the same tumor provide the spatial context of the individual cells.

    Article Snippet: In the examples demonstrated here, the spatial data is obtained using the spot-based 10x Visium spatial transcriptomics technology [ ] with 1-10 cells per spot.

    Techniques: Activity Assay, Expressing