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stereo seq data  (Complete Genomics Inc)


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    Complete Genomics Inc stereo seq data
    Stereo Seq Data, supplied by Complete Genomics Inc, used in various techniques. Bioz Stars score: 99/100, based on 451 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/transcriptomic+data+set/Stereo-seq+Transcriptomics+Set+for+FFPE/pm41593100-453-0-8
    Average 99 stars, based on 451 article reviews
    stereo seq data - by Bioz Stars, 2026-09
    99/100 stars

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    Related Articles

    Transcriptomics:

    Article Title: A spatial code governs olfactory receptor choice and aligns sensory maps in the nose and brain
    Article Snippet: MERSCOPE Cell Boundary Staining Kit , Vizgen , Cat# 10400118. .. Stereo-seq Transcriptomics T kit v1.3 , STOmics , Cat# 211KT13114-CG. .. Stereo-seq 16 Barcode Library Preparation Kit , STOmics , Cat # 111KL160-CG.

    Expressing:

    Article Title: Functional and Genetic Analyses Unveil the Implication of hoxa4a in Zebrafish Craniofacial Development
    Article Snippet: .. Analysis of hoxa4a expression patterns during early zebrafish embryogenesis was conducted using the Spatial Transcript Omics Database (STOmics DB) [20], incorporating both single-cell RNA sequencing (scRNA-seq) and spatial transcriptomic (stereo-seq) datasets. ..

    Single Cell:

    Article Title: Functional and Genetic Analyses Unveil the Implication of hoxa4a in Zebrafish Craniofacial Development
    Article Snippet: .. Analysis of hoxa4a expression patterns during early zebrafish embryogenesis was conducted using the Spatial Transcript Omics Database (STOmics DB) [20], incorporating both single-cell RNA sequencing (scRNA-seq) and spatial transcriptomic (stereo-seq) datasets. ..

    RNA Sequencing:

    Article Title: Functional and Genetic Analyses Unveil the Implication of hoxa4a in Zebrafish Craniofacial Development
    Article Snippet: .. Analysis of hoxa4a expression patterns during early zebrafish embryogenesis was conducted using the Spatial Transcript Omics Database (STOmics DB) [20], incorporating both single-cell RNA sequencing (scRNA-seq) and spatial transcriptomic (stereo-seq) datasets. ..

    other:

    Article Title: Artificial Intelligence in Transcriptomics: From Human-in-the-Loop to Agentic AI.
    Article Snippet: Abbreviations: Serial Analysis of Gene Expression (SAGE); Expressed Sequence Tag (EST); In Situ Hybridization (ISH); Gene Expression Omnibus (GEO); Database for Gene Expression Evolution (Bgee); Sequence Read Archive (SRA); SPAtial transcriptomics annotation at Single-CEll Resolution (SPASCER); Panglao Database (PanglaoDB); Cancer Genome Anatomy Project (CGAP) uses SAGE; Human Cell Landscape (HCL); Genomic Data Commons (GDC) Data Portal; The Cancer Genome Atlas (TCGA); CellMiner Cross-DataBase (CDB); Chinese Glioma Genome Atlas (CGGA); IVY Glioblastoma Atlas Project (GAP); Open Pediatric Brain Tumor Atlas (OpenPBTA); Open Pediatric Cancer (OpenPedCan) Project; Single-Cell Pediatric Cancer Atlas (ScPCA); The Spinal Cord Injury (SCI) Myeloid Cell Atlas; Spatio-Temporal Cell Atlas of Brain (STAB2); Human Tumor Atlas Network (HTAN); Spatial Omics Resource of Cancer (SORC) Database; Comprehensive Repository of Spatial Transcriptomics (CROST); Spatial Transcript Omics DataBase (STOmics DB); Human Brain Transcriptome (HBT); National Institutes of Health (NIH) Blueprint Non-Human Primate (NHP) Atlas; Mouse Genome Informatics Gene Expression Database (MGI GXD); Adult Genotype–Tissue Expression (GTEx) Project; Brain Transcriptome (BrainTx) Database; Brain Initiative Cell Census Network (BICCN); Integrative Library of Integrated Network-Based Cellular Signatures (iLINCS); Database of Genotypes and Phenotypes (dbGaP); Alzheimer’s Disease (AD) Knowledge Portal; Aging, Dementia and Traumatic Brain Injury (TBI) Study; Common Metabolic Diseases Genome Atlas (CMDGA); Therapeutically Applicable Research to Generate Effective Treatments (TARGET); Single-Cell and Spatial RNA-Seq Database for Alzheimer’s Disease (ssREAD).

    Article Title: RegFormer: a single-cell foundation model powered by gene regulatory hierarchies.
    Article Snippet: We acknowledge the Stomics Cloud platform (https://cloud.stomics.tech/) for providing GPU computational resources.

    Sequencing:

    Article Title: Adult regenerative defects arise from discordant scaling of signal dependent growth and patterning
    Article Snippet: .. All subsequent steps, including cryosectioning, Stereo-seq library preparation, sequencing, and raw data processing, were performed at the BGI facility (Riga, Latvia) in collaboration with BGI, supported by a STOmics Grant awarded to E. Tanaka. ..



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    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 <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.
    Stereo Seq Data, supplied by Complete Genomics Inc, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    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 <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 <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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    Image Search Results


    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