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st slide data  (10X Genomics)

 
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    10X Genomics st slide data
    St Slide Data, 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/high+resolution+slide+seq+spatial+transcriptomics+map/data+st/pm39703515-85-14-24
    Average 86 stars, based on 1 article reviews
    st slide data - by Bioz Stars, 2026-10
    86/100 stars

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    other:

    Article Title: scHolography: a computational method for single-cell spatial neighborhood reconstruction and analysis
    Article Snippet: We used previously published mouse kidney scRNA-seq data [ ] and ST data (10X Genomics Mouse Kidney Section Coronal, spaceranger-1.1.0 processed). scHolography reconstruction used the default settings.

    Article Title: Scalable image-based visualization and alignment of spatial transcriptomics datasets.
    Article Snippet: The datasets that were used for the alignment of mouse hippocampus sections were published in Slide-seq.7 The 10X Visium datasets were downloaded from the 10x Genomics website.

    Article Title: SpaceBender: Denoising Spatial Transcriptomics Data to Enhance Biological Signals
    Article Snippet: That is, publicly-available subcellular-resolution ST data (coronal slice of the mouse brain assayed with Xenium Prime, 10x Genomics) was computationally laid upon a spot-resolution (Visium-like) grid; transcripts were aggregated together if their spatial positions lay in the same computationally-defined spot.

    Article Title: Identification of METTL3 and PRMT5 as an oncogenic pair for the prognosis and therapeutic targets of colorectal cancer subtype.
    Article Snippet: The spatial transcriptome (ST) data for two CRC tissue samples were obtained from the 10X Genomics database (https://www.10xgenomics.com/).

    Spatial Transcriptomics:

    Article Title: Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its predictive value in neuroblastoma via integrated multi-omics analysis and machine learning.
    Article Snippet: .. To explore biological landscapes of CAFs in pan-cancer spatial transcriptomics (ST) resolution, we sourced ST slide data of various cancer types form 10x database (https://www.10xgenomics.com/cn/ frontiersin.org datasets), as well as GSE176078, GSE179572, GSE203612 and GSE181300 from GEO database. ..

    Article Title: Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its predictive value in neuroblastoma via integrated multi-omics analysis and machine learning
    Article Snippet: .. To explore biological landscapes of CAFs in pan-cancer spatial transcriptomics (ST) resolution, we sourced ST slide data of various cancer types form 10x database ( https://www.10xgenomics.com/cn/datasets ), as well as GSE176078, GSE179572, GSE203612 and GSE181300 from GEO database. ..

    Gene Expression:

    Article Title: Spatial and single-nucleus transcriptomic analysis of genetic and sporadic forms of Alzheimer's disease.
    Article Snippet: .. We performed a spatially resolved cross-species gene expression study of AD by generating ST data (10x Genomics Visium) from postmortem human prefrontal cortex (FCX; n = 10 cognitively healthy controls, n = 9 early-stage AD, n = 10 late-stage AD, n = 10 DSAD) and 5xFAD and wild-type (WT) mouse brains (n = 8–12 per group, 4–12 months; Fig. 1a–c and Supplementary Fig. 1). ..

    Article Title: Spatial and single-nucleus transcriptomic analysis of genetic and sporadic forms of Alzheimer’s disease
    Article Snippet: .. We performed a spatially resolved cross-species gene expression study of AD by generating ST data (10x Genomics Visium) from postmortem human prefrontal cortex (FCX; n = 10 cognitively healthy controls, n = 9 early-stage AD, n = 10 late-stage AD, n = 10 DSAD) and 5xFAD and wild-type (WT) mouse brains ( n = 8–12 per group, 4–12 months; Fig. and Supplementary Fig. ). ..



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    high resolution slide seq spatial transcriptomics map  (Spatial Transcriptomics Inc)
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    Spatial Transcriptomics Inc high resolution slide seq spatial transcriptomics map
    Fig. 1 | Single-cell and spatial <t>transcriptomics</t> of cardiac and ileum tissue of reovirus-infected neonatal mice. a, Experiment and analysis workflow. Four- day-old neonatal mice weighing 3 g per pup were infected (per os) with reovirus T1L. Neonatal mice infected with 1× PBS were used as mock controls. Ileum tissue (1 dpi and 4 dpi) and heart tissues (4 dpi, 7 dpi and 10 dpi) were assayed and used for scRNA-seq and spatial transcriptomics. b, UMAP plot of 31,684 single-cell transcriptomes from mock-infected and reovirus-infected hearts at 4 dpi, 7 dpi and 10 dpi (one animal per condition), clustered by gene expression and colored by cell type (left). UMAP plots showing cardiac cell type clusters across samples for the heart scRNA-seq data (right). c, 8,243 spatial transcriptomes of cardiac tissue sections from mock-infected and reovirus-infected mice at 4 dpi and 7 dpi (one animal per condition). H&E-stained image of reovirus-infected myocarditic
    High Resolution Slide Seq Spatial Transcriptomics Map, 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/high+resolution+slide+seq+spatial+transcriptomics+map/seq+slide/pm36970396-158-20-22
    Average 86 stars, based on 1 article reviews
    high resolution slide seq spatial transcriptomics map - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier

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    Fig. 1 | Single-cell and spatial transcriptomics of cardiac and ileum tissue of reovirus-infected neonatal mice. a, Experiment and analysis workflow. Four- day-old neonatal mice weighing 3 g per pup were infected (per os) with reovirus T1L. Neonatal mice infected with 1× PBS were used as mock controls. Ileum tissue (1 dpi and 4 dpi) and heart tissues (4 dpi, 7 dpi and 10 dpi) were assayed and used for scRNA-seq and spatial transcriptomics. b, UMAP plot of 31,684 single-cell transcriptomes from mock-infected and reovirus-infected hearts at 4 dpi, 7 dpi and 10 dpi (one animal per condition), clustered by gene expression and colored by cell type (left). UMAP plots showing cardiac cell type clusters across samples for the heart scRNA-seq data (right). c, 8,243 spatial transcriptomes of cardiac tissue sections from mock-infected and reovirus-infected mice at 4 dpi and 7 dpi (one animal per condition). H&E-stained image of reovirus-infected myocarditic

    Journal: Nature cardiovascular research

    Article Title: Spatiotemporal transcriptomics reveals pathogenesis of viral myocarditis.

    doi: 10.1038/s44161-022-00138-1

    Figure Lengend Snippet: Fig. 1 | Single-cell and spatial transcriptomics of cardiac and ileum tissue of reovirus-infected neonatal mice. a, Experiment and analysis workflow. Four- day-old neonatal mice weighing 3 g per pup were infected (per os) with reovirus T1L. Neonatal mice infected with 1× PBS were used as mock controls. Ileum tissue (1 dpi and 4 dpi) and heart tissues (4 dpi, 7 dpi and 10 dpi) were assayed and used for scRNA-seq and spatial transcriptomics. b, UMAP plot of 31,684 single-cell transcriptomes from mock-infected and reovirus-infected hearts at 4 dpi, 7 dpi and 10 dpi (one animal per condition), clustered by gene expression and colored by cell type (left). UMAP plots showing cardiac cell type clusters across samples for the heart scRNA-seq data (right). c, 8,243 spatial transcriptomes of cardiac tissue sections from mock-infected and reovirus-infected mice at 4 dpi and 7 dpi (one animal per condition). H&E-stained image of reovirus-infected myocarditic

    Article Snippet: UMAP plot showing the expression of myocyte-specific genes that are upregulated in the border zone of myocarditic regions (right). g, High-resolution Slide-seq spatial transcriptomics map of cardiac ventricular tissue from reovirus infected mice at 7 dpi colored by Slide-seq bead clusters.

    Techniques: Infection, Gene Expression, Staining

    Fig. 3 | Cytotoxic T cells recruited by inflamed endothelial cells induce pyroptosis in myocarditic tissue. a, UMAP plot of 9,786 single-cell endothelial cell transcriptomes from mock-infected and reovirus-infected hearts at 4 dpi, 7 dpi and 10 dpi colored by endothelial cell subtype clusters (phenotypes) (top) and condition (bottom). b, Heat map showing top five differentially expressed genes (two-sided Wilcoxon test, log fold change > 1.0 and P < 0.01) for endothelial cell subtypes. c, UMAP plot showing the expression of genes upregulated in Cxcl9-high endothelial cells. d, Spatial transcriptomic maps of cardiac tissue from reovirus infected hearts at 7 dpi showing gene module scores calculated for four GO terms enriched in Cxcl9-high endothelial cells. e, UMAP plot of 2,205 single-cell T cell transcriptomes from mock-infected and reovirus-infected hearts at 4 dpi, 7 dpi and 10 dpi colored by T cell subtype clusters (top) and condition (bottom). f, Heat map showing top five differentially expressed genes (two-sided Wilcoxon test, log fold change > 1.0 and P < 0.01) for T cell subtypes. g, UMAP plot showing the expression of genes upregulated in cytotoxic T cells from myocarditic heart at 7 dpi. h, Spatial transcriptomics maps of cardiac tissue from reovirus infected hearts at 7 dpi

    Journal: Nature cardiovascular research

    Article Title: Spatiotemporal transcriptomics reveals pathogenesis of viral myocarditis.

    doi: 10.1038/s44161-022-00138-1

    Figure Lengend Snippet: Fig. 3 | Cytotoxic T cells recruited by inflamed endothelial cells induce pyroptosis in myocarditic tissue. a, UMAP plot of 9,786 single-cell endothelial cell transcriptomes from mock-infected and reovirus-infected hearts at 4 dpi, 7 dpi and 10 dpi colored by endothelial cell subtype clusters (phenotypes) (top) and condition (bottom). b, Heat map showing top five differentially expressed genes (two-sided Wilcoxon test, log fold change > 1.0 and P < 0.01) for endothelial cell subtypes. c, UMAP plot showing the expression of genes upregulated in Cxcl9-high endothelial cells. d, Spatial transcriptomic maps of cardiac tissue from reovirus infected hearts at 7 dpi showing gene module scores calculated for four GO terms enriched in Cxcl9-high endothelial cells. e, UMAP plot of 2,205 single-cell T cell transcriptomes from mock-infected and reovirus-infected hearts at 4 dpi, 7 dpi and 10 dpi colored by T cell subtype clusters (top) and condition (bottom). f, Heat map showing top five differentially expressed genes (two-sided Wilcoxon test, log fold change > 1.0 and P < 0.01) for T cell subtypes. g, UMAP plot showing the expression of genes upregulated in cytotoxic T cells from myocarditic heart at 7 dpi. h, Spatial transcriptomics maps of cardiac tissue from reovirus infected hearts at 7 dpi

    Article Snippet: UMAP plot showing the expression of myocyte-specific genes that are upregulated in the border zone of myocarditic regions (right). g, High-resolution Slide-seq spatial transcriptomics map of cardiac ventricular tissue from reovirus infected mice at 7 dpi colored by Slide-seq bead clusters.

    Techniques: Infection, Expressing

    Fig. 4 | Myocarditic regions and the border zone have distinct transcriptomic profiles and cell-type-specific signatures. a, Spatial transcriptomics map of cardiac tissue section from reovirus-infected mice at 7 dpi colored by spot clusters representing transcriptionally distinct tissue regions. b, Spatial transcriptomics maps of cardiac tissue sections from reovirus-infected mice at 7 dpi showing the expression of differentially expressed genes of interest in the myocarditic and the border zone. c, Changes in average predicted cell type proportions across the infected ventricle, for cell types enriched in the myocarditic region and the border zone. d, UMAP plot of 502 single-cell cardiomyocyte cell transcriptomes from mock-infected and reovirus-infected hearts at 4 dpi, 7 dpi and 10 dpi colored by myocyte cell subtype (phenotypes) (left) and condition (right). e, Heat map showing the top five differentially expressed genes (two-sided Wilcoxon test, log fold change > 1.0 and P < 0.01) for cardiomyocyte cell subtypes. f, Venn diagram showing myocyte-specific genes

    Journal: Nature cardiovascular research

    Article Title: Spatiotemporal transcriptomics reveals pathogenesis of viral myocarditis.

    doi: 10.1038/s44161-022-00138-1

    Figure Lengend Snippet: Fig. 4 | Myocarditic regions and the border zone have distinct transcriptomic profiles and cell-type-specific signatures. a, Spatial transcriptomics map of cardiac tissue section from reovirus-infected mice at 7 dpi colored by spot clusters representing transcriptionally distinct tissue regions. b, Spatial transcriptomics maps of cardiac tissue sections from reovirus-infected mice at 7 dpi showing the expression of differentially expressed genes of interest in the myocarditic and the border zone. c, Changes in average predicted cell type proportions across the infected ventricle, for cell types enriched in the myocarditic region and the border zone. d, UMAP plot of 502 single-cell cardiomyocyte cell transcriptomes from mock-infected and reovirus-infected hearts at 4 dpi, 7 dpi and 10 dpi colored by myocyte cell subtype (phenotypes) (left) and condition (right). e, Heat map showing the top five differentially expressed genes (two-sided Wilcoxon test, log fold change > 1.0 and P < 0.01) for cardiomyocyte cell subtypes. f, Venn diagram showing myocyte-specific genes

    Article Snippet: UMAP plot showing the expression of myocyte-specific genes that are upregulated in the border zone of myocarditic regions (right). g, High-resolution Slide-seq spatial transcriptomics map of cardiac ventricular tissue from reovirus infected mice at 7 dpi colored by Slide-seq bead clusters.

    Techniques: Infection, Expressing