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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/slide+seq+spatial+transcriptomics+experiment/data+st/pm39703515-85-14-24
    Average 86 stars, based on 1 article reviews
    st slide data - by Bioz Stars, 2026-09
    86/100 stars

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    Related Articles

    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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    Image Search Results


    AIR-SPACE enables the mapping of adaptive immune receptor (AIR) clonotypes and transcriptomics in situ. ( A ) Schematic of the experimental design and methodology, including the generation of long-read (LR) and short-read (SR). ( B ) Spatial mapping of cell types across the LN sections at different time points postinfection. (Scale bar, 500 μm.) ( C ) Spatial mapping of AIR clonotypes across the LN sections, with immunoglobulin (IG) clones shown in blue and T cell receptor (TCR) clones shown in red; outlined with germinal center (GC) regions in LNs from D10PI to D21PI. ( D ) Multiplexed RNA FISH staining for T cell marker Trbc2 (green), B cell marker Ms4a1 (red), and DAPI (blue) across all samples on sister sections. (Scale bar 500 μm.)

    Journal: Proceedings of the National Academy of Sciences of the United States of America

    Article Title: A temporal and spatial atlas of adaptive immune responses in the lymph node following viral infection

    doi: 10.1073/pnas.2504742123

    Figure Lengend Snippet: AIR-SPACE enables the mapping of adaptive immune receptor (AIR) clonotypes and transcriptomics in situ. ( A ) Schematic of the experimental design and methodology, including the generation of long-read (LR) and short-read (SR). ( B ) Spatial mapping of cell types across the LN sections at different time points postinfection. (Scale bar, 500 μm.) ( C ) Spatial mapping of AIR clonotypes across the LN sections, with immunoglobulin (IG) clones shown in blue and T cell receptor (TCR) clones shown in red; outlined with germinal center (GC) regions in LNs from D10PI to D21PI. ( D ) Multiplexed RNA FISH staining for T cell marker Trbc2 (green), B cell marker Ms4a1 (red), and DAPI (blue) across all samples on sister sections. (Scale bar 500 μm.)

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