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stereo seq spatial transcriptomics data  (Complete Genomics Inc)


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    Complete Genomics Inc stereo seq spatial transcriptomics data
    Stereo Seq Spatial Transcriptomics Data, supplied by Complete Genomics Inc, used in various techniques. Bioz Stars score: 98/100, based on 33 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/spatial+transcriptomic+data/Stereo-seq+Transcriptomics+Set/pm42091869-364-0-4
    Average 98 stars, based on 33 article reviews
    stereo seq spatial transcriptomics data - by Bioz Stars, 2026-09
    98/100 stars

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    Related Articles

    Generated:

    Article Title: Integrated single-cell transcriptomic map of pig kidney cells across various periods and anatomical sites
    Article Snippet: Cryosections (10 μm thick) were prepared using a Leica CM1950 cryostat and immediately mounted onto Stereo-seq chips. .. Spatial transcriptomic data were generated following the STOmics Gene Expression Set-S1 protocol (https://www.stomics.tech/), an optimized version of the original procedure ( ). ..

    Article Title: Integrated single-cell transcriptomic map of pig kidney cells across various periods and anatomical sites.
    Article Snippet: Cryosections (10 μm thick) were prepared using a Leica CM1950 cryostat and immediately mounted onto Stereo-seq chips. .. Spatial transcriptomic data were generated following the STOmics Gene Expression Set-S1 protocol (https://www.stomics.tech/), an optimized version of the original procedure (Chen et al., 2022). ..

    Gene Expression:

    Article Title: Integrated single-cell transcriptomic map of pig kidney cells across various periods and anatomical sites
    Article Snippet: Cryosections (10 μm thick) were prepared using a Leica CM1950 cryostat and immediately mounted onto Stereo-seq chips. .. Spatial transcriptomic data were generated following the STOmics Gene Expression Set-S1 protocol (https://www.stomics.tech/), an optimized version of the original procedure ( ). ..

    Article Title: Integrated single-cell transcriptomic map of pig kidney cells across various periods and anatomical sites.
    Article Snippet: Cryosections (10 μm thick) were prepared using a Leica CM1950 cryostat and immediately mounted onto Stereo-seq chips. .. Spatial transcriptomic data were generated following the STOmics Gene Expression Set-S1 protocol (https://www.stomics.tech/), an optimized version of the original procedure (Chen et al., 2022). ..

    Expressing:

    Article Title: Myeloid Zinc Finger 1 : insights into its oncogenic potential, prognostic value, and impact on immune microenvironment across cancers
    Article Snippet: .. Additionally, spatial transcriptomic data obtained from the STOmics DB database ( https://db.cngb.org/stomics/ ) ( ) were utilized to analyze the spatial similarities within the tumor microenvironment, which provided further insights into the spatial distribution and context of MZF1 expression. ..



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    spatial transcriptomics data  (Complete Genomics Inc)
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    Complete Genomics Inc spatial transcriptomics data
    Single-nucleus transcriptome and spatial <t>transcriptomics</t> landscape of the ileal tissue of SAP and CON group rats. (A) Schematic illustration of the workflow for this study. (B) Representative Hematoxylin and Eosin (H&E)–stained ileal sections from CON and SAP rats. (C) UMAP plot of single-nucleus transcriptome profiles of SAP and CON group samples. Colors indicate groups, clusters and cell types. (D) Heatmap plot of marker genes for cell annotation. (E) Bar plot showing cell-type proportions (mean ± SEM) in snRNA-seq data. (F) Spatial transcriptomics profiles of SAP and CON group samples. Colors indicate cell types. (G) Bar plot showing cell-type proportions (mean ± SEM) in spatial transcriptomics (Stereo-seq) data. Statistical significance: ns, not significant; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.
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    Single-nucleus transcriptome and spatial transcriptomics landscape of the ileal tissue of SAP and CON group rats. (A) Schematic illustration of the workflow for this study. (B) Representative Hematoxylin and Eosin (H&E)–stained ileal sections from CON and SAP rats. (C) UMAP plot of single-nucleus transcriptome profiles of SAP and CON group samples. Colors indicate groups, clusters and cell types. (D) Heatmap plot of marker genes for cell annotation. (E) Bar plot showing cell-type proportions (mean ± SEM) in snRNA-seq data. (F) Spatial transcriptomics profiles of SAP and CON group samples. Colors indicate cell types. (G) Bar plot showing cell-type proportions (mean ± SEM) in spatial transcriptomics (Stereo-seq) data. Statistical significance: ns, not significant; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

    Journal: Frontiers in Immunology

    Article Title: Single-nucleus and spatial transcriptomics reveal intestinal cellular heterogeneity, differentiation, and cell communication mechanisms in SAP-induced intestinal injury

    doi: 10.3389/fimmu.2026.1719902

    Figure Lengend Snippet: Single-nucleus transcriptome and spatial transcriptomics landscape of the ileal tissue of SAP and CON group rats. (A) Schematic illustration of the workflow for this study. (B) Representative Hematoxylin and Eosin (H&E)–stained ileal sections from CON and SAP rats. (C) UMAP plot of single-nucleus transcriptome profiles of SAP and CON group samples. Colors indicate groups, clusters and cell types. (D) Heatmap plot of marker genes for cell annotation. (E) Bar plot showing cell-type proportions (mean ± SEM) in snRNA-seq data. (F) Spatial transcriptomics profiles of SAP and CON group samples. Colors indicate cell types. (G) Bar plot showing cell-type proportions (mean ± SEM) in spatial transcriptomics (Stereo-seq) data. Statistical significance: ns, not significant; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

    Article Snippet: The spatial transcriptomics data were obtained according to the protocol of STOmics Gene Expression Set-S1 on the website ( https://www.stomics.tech/ ), which is an improved version of initial procedures.

    Techniques: Spatial Transcriptomics, Staining, Marker