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gingival spatial transcriptomics data  (Spatial Transcriptomics Inc)

 
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    Spatial Transcriptomics Inc gingival spatial transcriptomics data
    Acetylcholine signaling and receptor distribution in the periodontal epithelium. (A) Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment of epithelial neurotransmitter signaling-related DEGs. Left: upregulated pathways in PD vs. HC; right: downregulated pathways in TP vs. PD. (B) Expression profiles of acetylcholine receptors across different cell types. Receptors not detected in any cells were excluded. (C) Transcript counts of acetylcholine receptor genes from HOKs RNA-seq data. Five receptors detected in all 12 samples (n = 3 per group), with colored shapes representing groups and black bars indicating the mean. Receptors with low expression (zero counts in some samples) were excluded. (D) Expression of acetylcholine receptors CHRNB1 , CHRNA5 , and CHRNA7 in gingival spatial <t>transcriptomics</t> data.
    Gingival Spatial Transcriptomics Data, 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/spatial+transcriptomics+data/pmc12675406-12-13-14?v=Spatial+Transcriptomics+Inc
    Average 86 stars, based on 1 article reviews
    gingival spatial transcriptomics data - by Bioz Stars, 2026-07
    86/100 stars

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    1) Product Images from "Acetylcholine in the gingival epithelium drives the pathogenesis of periodontitis"

    Article Title: Acetylcholine in the gingival epithelium drives the pathogenesis of periodontitis

    Journal: Frontiers in Cell and Developmental Biology

    doi: 10.3389/fcell.2025.1701252

    Acetylcholine signaling and receptor distribution in the periodontal epithelium. (A) Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment of epithelial neurotransmitter signaling-related DEGs. Left: upregulated pathways in PD vs. HC; right: downregulated pathways in TP vs. PD. (B) Expression profiles of acetylcholine receptors across different cell types. Receptors not detected in any cells were excluded. (C) Transcript counts of acetylcholine receptor genes from HOKs RNA-seq data. Five receptors detected in all 12 samples (n = 3 per group), with colored shapes representing groups and black bars indicating the mean. Receptors with low expression (zero counts in some samples) were excluded. (D) Expression of acetylcholine receptors CHRNB1 , CHRNA5 , and CHRNA7 in gingival spatial transcriptomics data.
    Figure Legend Snippet: Acetylcholine signaling and receptor distribution in the periodontal epithelium. (A) Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment of epithelial neurotransmitter signaling-related DEGs. Left: upregulated pathways in PD vs. HC; right: downregulated pathways in TP vs. PD. (B) Expression profiles of acetylcholine receptors across different cell types. Receptors not detected in any cells were excluded. (C) Transcript counts of acetylcholine receptor genes from HOKs RNA-seq data. Five receptors detected in all 12 samples (n = 3 per group), with colored shapes representing groups and black bars indicating the mean. Receptors with low expression (zero counts in some samples) were excluded. (D) Expression of acetylcholine receptors CHRNB1 , CHRNA5 , and CHRNA7 in gingival spatial transcriptomics data.

    Techniques Used: Expressing, RNA Sequencing

    Distribution of tight junction genes in the periodontal gingival epithelium and their regulation by acetylcholine. (A) Expressions of OCLN, CLDN1, and CDH1 in spatial transcriptomics data. (B) Differential comparison of OCLN, CLDN1, and CDH1 in the epithelial subpopulation of HC versus PD groups (***, p < 0.001). (C) Heatmap showing the expressions of OCLN, CLDN1, and CDH1 for each cluster in HC and PD gingiva. (D) Quantitative polymerase chain reaction (qPCR) validation in HOKs. Data are presented as the mean ± standard error of the mean (SEM). ***, p < 0.001.
    Figure Legend Snippet: Distribution of tight junction genes in the periodontal gingival epithelium and their regulation by acetylcholine. (A) Expressions of OCLN, CLDN1, and CDH1 in spatial transcriptomics data. (B) Differential comparison of OCLN, CLDN1, and CDH1 in the epithelial subpopulation of HC versus PD groups (***, p < 0.001). (C) Heatmap showing the expressions of OCLN, CLDN1, and CDH1 for each cluster in HC and PD gingiva. (D) Quantitative polymerase chain reaction (qPCR) validation in HOKs. Data are presented as the mean ± standard error of the mean (SEM). ***, p < 0.001.

    Techniques Used: Comparison, Real-time Polymerase Chain Reaction, Biomarker Discovery



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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