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e h spatial transcriptomics heterotypic cell network analysis shows colocalization  (Spatial Transcriptomics Inc)

 
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    Spatial Transcriptomics Inc e h spatial transcriptomics heterotypic cell network analysis shows colocalization
    STK24 is elevated in LUAD epithelial cells. A UMAP showing cell types after batch correction and dimensionality reduction clustering. B Bubble plot showing STK24 expression levels across various cell types. C Violin plot showing STK24 expression in normal and tumor cells across various cell types. D , E STK24 expression levels and regional variation analysis in spatial <t>transcriptomics.</t> F Violin plot showing STK24 expression in normal and tumor samples in the TCGA-LUAD cohort. G Immunohistochemistry results showing STK24 staining in LUAD and normal tissue samples from the HPA database. H Independent prognostic analysis to evaluate whether the association between STK24 and tumor survival is independent of traditional clinical variables. **** P < 0.0001, *** P < 0.001, ** P < 0.01, * P < 0.05, ns P > 0.05
    E H Spatial Transcriptomics Heterotypic Cell Network Analysis Shows Colocalization, 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+transcriptome+analysis/pmc12574022-295-0-3?v=Spatial+Transcriptomics+Inc
    Average 86 stars, based on 1 article reviews
    e h spatial transcriptomics heterotypic cell network analysis shows colocalization - by Bioz Stars, 2026-07
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    1) Product Images from "Genome-wide association, single-cell, and spatial transcriptomics analyses reveal the role of the STK24-expressing positive cells in LUAD progression and the tumor microenvironment, identifying STK24 as a potential therapeutic target"

    Article Title: Genome-wide association, single-cell, and spatial transcriptomics analyses reveal the role of the STK24-expressing positive cells in LUAD progression and the tumor microenvironment, identifying STK24 as a potential therapeutic target

    Journal: Journal of Translational Medicine

    doi: 10.1186/s12967-025-07111-z

    STK24 is elevated in LUAD epithelial cells. A UMAP showing cell types after batch correction and dimensionality reduction clustering. B Bubble plot showing STK24 expression levels across various cell types. C Violin plot showing STK24 expression in normal and tumor cells across various cell types. D , E STK24 expression levels and regional variation analysis in spatial transcriptomics. F Violin plot showing STK24 expression in normal and tumor samples in the TCGA-LUAD cohort. G Immunohistochemistry results showing STK24 staining in LUAD and normal tissue samples from the HPA database. H Independent prognostic analysis to evaluate whether the association between STK24 and tumor survival is independent of traditional clinical variables. **** P < 0.0001, *** P < 0.001, ** P < 0.01, * P < 0.05, ns P > 0.05
    Figure Legend Snippet: STK24 is elevated in LUAD epithelial cells. A UMAP showing cell types after batch correction and dimensionality reduction clustering. B Bubble plot showing STK24 expression levels across various cell types. C Violin plot showing STK24 expression in normal and tumor cells across various cell types. D , E STK24 expression levels and regional variation analysis in spatial transcriptomics. F Violin plot showing STK24 expression in normal and tumor samples in the TCGA-LUAD cohort. G Immunohistochemistry results showing STK24 staining in LUAD and normal tissue samples from the HPA database. H Independent prognostic analysis to evaluate whether the association between STK24 and tumor survival is independent of traditional clinical variables. **** P < 0.0001, *** P < 0.001, ** P < 0.01, * P < 0.05, ns P > 0.05

    Techniques Used: Expressing, Immunohistochemistry, Staining

    Exploring the origins of STK24 Group cells through spatial transcriptomics (ST). A Schematic diagram of RCTD deconvolution and spatial trajectory analysis of spatial transcriptomics data. B – D Cell types after ST deconvolution. E , F Cell developmental trajectory and trajectory tree in ST ERS17014180. G , H Cell developmental trajectory and trajectory tree in ST ERS17014184. I , J Cell developmental trajectory and trajectory tree in ST ERS17014196. (K-M) Scatter plots showing the correlation between STK24 gene expression and developmental trajectory genes
    Figure Legend Snippet: Exploring the origins of STK24 Group cells through spatial transcriptomics (ST). A Schematic diagram of RCTD deconvolution and spatial trajectory analysis of spatial transcriptomics data. B – D Cell types after ST deconvolution. E , F Cell developmental trajectory and trajectory tree in ST ERS17014180. G , H Cell developmental trajectory and trajectory tree in ST ERS17014184. I , J Cell developmental trajectory and trajectory tree in ST ERS17014196. (K-M) Scatter plots showing the correlation between STK24 gene expression and developmental trajectory genes

    Techniques Used: Gene Expression

    Interactions between STK24-positive tumor epithelial cells (STK24posEpi) and fibroblasts. A Analysis of interaction strength between STK24posEpi and various cell types. B Activated pathways in various cell communications. C Analysis of activated ligand-receptor pairs. D Schematic diagram of Heterotypic cellular network analysis and cell co-localization analysis of spatial tran-scriptomics data. E – H Spatial transcriptomics heterotypic cell network analysis shows colocalization of STK24posEpi and fibroblasts. I Heatmap displaying cell–cell dependency analysis in the colocated, neighboring, and extended neighboring (15-point) regions of the spatial transcriptomics data
    Figure Legend Snippet: Interactions between STK24-positive tumor epithelial cells (STK24posEpi) and fibroblasts. A Analysis of interaction strength between STK24posEpi and various cell types. B Activated pathways in various cell communications. C Analysis of activated ligand-receptor pairs. D Schematic diagram of Heterotypic cellular network analysis and cell co-localization analysis of spatial tran-scriptomics data. E – H Spatial transcriptomics heterotypic cell network analysis shows colocalization of STK24posEpi and fibroblasts. I Heatmap displaying cell–cell dependency analysis in the colocated, neighboring, and extended neighboring (15-point) regions of the spatial transcriptomics data

    Techniques Used:

    Communication and signal flow changes between STK24posEpi and fibroblasts in spatial transcriptomics (ST). A Schematic diagram of Cell–cell communication analysis and signal flow direction analysis of spatial transcriptomics data. B Analysis of communication intensity between STK24posEpi and fibroblasts by integrating multiple spatial transcriptomics samples. C , D Communication between STK24posEpi and fibroblasts in the PDGF signaling pathway across different spatial transcriptomics samples. E Importance of Sender, Receiver, Mediator, and Influencer in different cell types in the PDGF signaling pathway. F , G Expression and co-expression of ligand-receptor pairs related to the PDGF signaling pathway in various spatial transcriptomics samples. H Importance of Sender, Receiver, Mediator, and Influencer in different cell types in the VEGF signaling pathway. I , J Communication between STK24posEpi and fibroblasts in the VEGF signaling pathway across different spatial transcriptomics samples. K Importance of Sender, Receiver, Mediator, and Influencer in different cell types in the MIF signaling pathway. L , M Communication between STK24posEpi and fibroblasts in the MIF signaling pathway across different spatial transcriptomics samples. N , O COMMOT analysis showing the direction of MIF signal flow and expression of Senders and Receivers in various spatial transcriptomics samples
    Figure Legend Snippet: Communication and signal flow changes between STK24posEpi and fibroblasts in spatial transcriptomics (ST). A Schematic diagram of Cell–cell communication analysis and signal flow direction analysis of spatial transcriptomics data. B Analysis of communication intensity between STK24posEpi and fibroblasts by integrating multiple spatial transcriptomics samples. C , D Communication between STK24posEpi and fibroblasts in the PDGF signaling pathway across different spatial transcriptomics samples. E Importance of Sender, Receiver, Mediator, and Influencer in different cell types in the PDGF signaling pathway. F , G Expression and co-expression of ligand-receptor pairs related to the PDGF signaling pathway in various spatial transcriptomics samples. H Importance of Sender, Receiver, Mediator, and Influencer in different cell types in the VEGF signaling pathway. I , J Communication between STK24posEpi and fibroblasts in the VEGF signaling pathway across different spatial transcriptomics samples. K Importance of Sender, Receiver, Mediator, and Influencer in different cell types in the MIF signaling pathway. L , M Communication between STK24posEpi and fibroblasts in the MIF signaling pathway across different spatial transcriptomics samples. N , O COMMOT analysis showing the direction of MIF signal flow and expression of Senders and Receivers in various spatial transcriptomics samples

    Techniques Used: Expressing

    Exploration of apoptosis and STK24posEpi-related pathways in spatial transcriptomics (ST). A Schematic diagram of Pathway dependency analysis of spatial transcriptomics data. B Enrichment results for the ST apoptosis pathway and comparison of differences between regions. C Heatmap displaying apoptosis-dependent cell pathways within regions in the spatial context. D , F Network diagrams showing apoptosis-dependent cell pathways in intra ( D ), juxta_5 ( E ), and para_15 ( F ) regions. G Enrichment results for the ST cell proliferation pathway and comparison of differences between the STK24 Group. H Enrichment results for the ST cell damage pathway and comparison of differences between the STK24 Group. I Comparison of ST cell cycle and DNA repair pathways between the STK24 Groups. J , K Heatmaps showing cell pathway dependency analysis for different cell types within the intra ( J ) and para_15 ( K ) regions in the spatial context. **** P < 0.0001, *** P < 0.001, ** P < 0.01, * P < 0.05, ns P > 0.05
    Figure Legend Snippet: Exploration of apoptosis and STK24posEpi-related pathways in spatial transcriptomics (ST). A Schematic diagram of Pathway dependency analysis of spatial transcriptomics data. B Enrichment results for the ST apoptosis pathway and comparison of differences between regions. C Heatmap displaying apoptosis-dependent cell pathways within regions in the spatial context. D , F Network diagrams showing apoptosis-dependent cell pathways in intra ( D ), juxta_5 ( E ), and para_15 ( F ) regions. G Enrichment results for the ST cell proliferation pathway and comparison of differences between the STK24 Group. H Enrichment results for the ST cell damage pathway and comparison of differences between the STK24 Group. I Comparison of ST cell cycle and DNA repair pathways between the STK24 Groups. J , K Heatmaps showing cell pathway dependency analysis for different cell types within the intra ( J ) and para_15 ( K ) regions in the spatial context. **** P < 0.0001, *** P < 0.001, ** P < 0.01, * P < 0.05, ns P > 0.05

    Techniques Used: Comparison

    Clinical significance of STK24posEpi. A Schematic diagram of Homotypic cellular network analysis of spatial transcriptomics data. B Homotypic cell network analysis of STK24posEpi in spatial transcriptomics. C Survival analysis of STK24posEpi across multiple bulk transcriptome cohorts after Bayesian deconvolution. D Comparison of tumor-infiltrating lymphocyte scores between STK24posEpi Groups in the TCGA-LUAD cohort. E Histological slides showing differences in tumor-infiltrating lymphocytes between STK24posEpi Groups in the TCGA-LUAD cohort. F Correlation analysis of STK24posEpi and B cells in multiple bulk transcriptomes. G Differential expression of BCR signaling pathway-related genes between STK24posEpi Groups in the TCGA-LUAD cohort. H Differential expression of antigen processing and presentation pathway-related genes between STK24posEpi Groups in the TCGA-LUAD cohort. I Comparison of clinical factors between STK24posEpi Groups in the TCGA-LUAD cohort. **** P < 0.0001, *** P < 0.001, ** P < 0.01, * P < 0.05, ns P > 0.05
    Figure Legend Snippet: Clinical significance of STK24posEpi. A Schematic diagram of Homotypic cellular network analysis of spatial transcriptomics data. B Homotypic cell network analysis of STK24posEpi in spatial transcriptomics. C Survival analysis of STK24posEpi across multiple bulk transcriptome cohorts after Bayesian deconvolution. D Comparison of tumor-infiltrating lymphocyte scores between STK24posEpi Groups in the TCGA-LUAD cohort. E Histological slides showing differences in tumor-infiltrating lymphocytes between STK24posEpi Groups in the TCGA-LUAD cohort. F Correlation analysis of STK24posEpi and B cells in multiple bulk transcriptomes. G Differential expression of BCR signaling pathway-related genes between STK24posEpi Groups in the TCGA-LUAD cohort. H Differential expression of antigen processing and presentation pathway-related genes between STK24posEpi Groups in the TCGA-LUAD cohort. I Comparison of clinical factors between STK24posEpi Groups in the TCGA-LUAD cohort. **** P < 0.0001, *** P < 0.001, ** P < 0.01, * P < 0.05, ns P > 0.05

    Techniques Used: Comparison, Quantitative Proteomics



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    10X Genomics spatial transcriptomic analysis
    a Schematic diagram of the spatial <t>transcriptome</t> analysis using Xenium Prime 5K. Formalin fixed paraffin embedded (FFPE) sections were prepared from 12-month-old Tau Tg mice and age-matched WT controls. b UMAP visualizing the cell cluster detected by Xenium in the brains of Tau Tg and WT mice. Neuronal cells were classified as IT (intratelencephalic), ET (extratelencephalic), Glut (glutamatergic), NP (near-projecting), CT (corticothalamic), L6b (layer 6b), DG (dentate gyrus), IMN (immature neurons), CTX (cerebral cortex), CGE (caudal ganglionic eminence), GABA (GABAergic), MGE (medial ganglionic eminence), CNU (cerebral nuclei), LGE (lateral ganglionic eminence), Hya (anterior hypothalamic), HY (hypothalamus), MM (medial mammillary nucleus), LH (lateral habenula), TH (thalamus), MB (midbrain), HB (hindbrain), Sero (serotonergic), MY (medulla), NN (non-neuronal), NP (near-projecting), OB (olfactory bulb), OEC (olfactory ensheathing cells), and OLF (olfactory areas). c Cxcl10 mRNA signal was plotted using Feature Plot on UMAP. d Quantitative Cxcl10 gene expression using violin plots in AC-Epen, BAM, DG-IMN Glut, IT-ET Glut, MG, and T cell types. e, h Representative plots of the result of re-clustering AC-Epen ( e ) and immune cluster ( h ), respectively. f Plots of Cxcl10 + cells in the cluster shown in and represented according to genotype. g, j Figures showing spatial distribution of AC8 ( g ) and MG3 ( j ) clusters in the brains of WT and Tau Tg mice. k Representative images of coronal section of mouse brain by Xenium explorer. Scale bar = 1 mm. l Spatial information of Cxcl10 + astrocytes and microglia in the hippocampus of Tau Tg mice using Xenium explorer. Scale bar = 100 μm. Number of mice used: male WT (n = 1), male Tau Tg (n = 1), female WT (n = 1), and female Tau Tg (n = 1). Statistical analysis was performed using a Wilcoxon rank sum U statistic test ( d ). Source data are provided in the Source Data file.
    Spatial Transcriptomic Analysis, 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/spatial+transcriptome+analysis/pm41517835-341-0-4?v=10X+Genomics
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    spatial transcriptomic analysis - by Bioz Stars, 2026-07
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    spatial transcriptomics data analysis  (Spatial Transcriptomics Inc)
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    Spatial Transcriptomics Inc spatial transcriptomics data analysis
    a Schematic diagram of the spatial <t>transcriptome</t> analysis using Xenium Prime 5K. Formalin fixed paraffin embedded (FFPE) sections were prepared from 12-month-old Tau Tg mice and age-matched WT controls. b UMAP visualizing the cell cluster detected by Xenium in the brains of Tau Tg and WT mice. Neuronal cells were classified as IT (intratelencephalic), ET (extratelencephalic), Glut (glutamatergic), NP (near-projecting), CT (corticothalamic), L6b (layer 6b), DG (dentate gyrus), IMN (immature neurons), CTX (cerebral cortex), CGE (caudal ganglionic eminence), GABA (GABAergic), MGE (medial ganglionic eminence), CNU (cerebral nuclei), LGE (lateral ganglionic eminence), Hya (anterior hypothalamic), HY (hypothalamus), MM (medial mammillary nucleus), LH (lateral habenula), TH (thalamus), MB (midbrain), HB (hindbrain), Sero (serotonergic), MY (medulla), NN (non-neuronal), NP (near-projecting), OB (olfactory bulb), OEC (olfactory ensheathing cells), and OLF (olfactory areas). c Cxcl10 mRNA signal was plotted using Feature Plot on UMAP. d Quantitative Cxcl10 gene expression using violin plots in AC-Epen, BAM, DG-IMN Glut, IT-ET Glut, MG, and T cell types. e, h Representative plots of the result of re-clustering AC-Epen ( e ) and immune cluster ( h ), respectively. f Plots of Cxcl10 + cells in the cluster shown in and represented according to genotype. g, j Figures showing spatial distribution of AC8 ( g ) and MG3 ( j ) clusters in the brains of WT and Tau Tg mice. k Representative images of coronal section of mouse brain by Xenium explorer. Scale bar = 1 mm. l Spatial information of Cxcl10 + astrocytes and microglia in the hippocampus of Tau Tg mice using Xenium explorer. Scale bar = 100 μm. Number of mice used: male WT (n = 1), male Tau Tg (n = 1), female WT (n = 1), and female Tau Tg (n = 1). Statistical analysis was performed using a Wilcoxon rank sum U statistic test ( d ). Source data are provided in the Source Data file.
    Spatial Transcriptomics Data Analysis, 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+transcriptome+analysis/pm41508250-90-0-0?v=Spatial+Transcriptomics+Inc
    Average 86 stars, based on 1 article reviews
    spatial transcriptomics data analysis - by Bioz Stars, 2026-07
    86/100 stars
    		  Buy from Supplier

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    a Schematic diagram of the spatial transcriptome analysis using Xenium Prime 5K. Formalin fixed paraffin embedded (FFPE) sections were prepared from 12-month-old Tau Tg mice and age-matched WT controls. b UMAP visualizing the cell cluster detected by Xenium in the brains of Tau Tg and WT mice. Neuronal cells were classified as IT (intratelencephalic), ET (extratelencephalic), Glut (glutamatergic), NP (near-projecting), CT (corticothalamic), L6b (layer 6b), DG (dentate gyrus), IMN (immature neurons), CTX (cerebral cortex), CGE (caudal ganglionic eminence), GABA (GABAergic), MGE (medial ganglionic eminence), CNU (cerebral nuclei), LGE (lateral ganglionic eminence), Hya (anterior hypothalamic), HY (hypothalamus), MM (medial mammillary nucleus), LH (lateral habenula), TH (thalamus), MB (midbrain), HB (hindbrain), Sero (serotonergic), MY (medulla), NN (non-neuronal), NP (near-projecting), OB (olfactory bulb), OEC (olfactory ensheathing cells), and OLF (olfactory areas). c Cxcl10 mRNA signal was plotted using Feature Plot on UMAP. d Quantitative Cxcl10 gene expression using violin plots in AC-Epen, BAM, DG-IMN Glut, IT-ET Glut, MG, and T cell types. e, h Representative plots of the result of re-clustering AC-Epen ( e ) and immune cluster ( h ), respectively. f Plots of Cxcl10 + cells in the cluster shown in and represented according to genotype. g, j Figures showing spatial distribution of AC8 ( g ) and MG3 ( j ) clusters in the brains of WT and Tau Tg mice. k Representative images of coronal section of mouse brain by Xenium explorer. Scale bar = 1 mm. l Spatial information of Cxcl10 + astrocytes and microglia in the hippocampus of Tau Tg mice using Xenium explorer. Scale bar = 100 μm. Number of mice used: male WT (n = 1), male Tau Tg (n = 1), female WT (n = 1), and female Tau Tg (n = 1). Statistical analysis was performed using a Wilcoxon rank sum U statistic test ( d ). Source data are provided in the Source Data file.

    Journal: bioRxiv

    Article Title: CXCL10 drives female-specific tau pathology progression and defines sex-dependent vulnerability in tauopathy model mice

    doi: 10.64898/2026.04.19.719088

    Figure Lengend Snippet: a Schematic diagram of the spatial transcriptome analysis using Xenium Prime 5K. Formalin fixed paraffin embedded (FFPE) sections were prepared from 12-month-old Tau Tg mice and age-matched WT controls. b UMAP visualizing the cell cluster detected by Xenium in the brains of Tau Tg and WT mice. Neuronal cells were classified as IT (intratelencephalic), ET (extratelencephalic), Glut (glutamatergic), NP (near-projecting), CT (corticothalamic), L6b (layer 6b), DG (dentate gyrus), IMN (immature neurons), CTX (cerebral cortex), CGE (caudal ganglionic eminence), GABA (GABAergic), MGE (medial ganglionic eminence), CNU (cerebral nuclei), LGE (lateral ganglionic eminence), Hya (anterior hypothalamic), HY (hypothalamus), MM (medial mammillary nucleus), LH (lateral habenula), TH (thalamus), MB (midbrain), HB (hindbrain), Sero (serotonergic), MY (medulla), NN (non-neuronal), NP (near-projecting), OB (olfactory bulb), OEC (olfactory ensheathing cells), and OLF (olfactory areas). c Cxcl10 mRNA signal was plotted using Feature Plot on UMAP. d Quantitative Cxcl10 gene expression using violin plots in AC-Epen, BAM, DG-IMN Glut, IT-ET Glut, MG, and T cell types. e, h Representative plots of the result of re-clustering AC-Epen ( e ) and immune cluster ( h ), respectively. f Plots of Cxcl10 + cells in the cluster shown in and represented according to genotype. g, j Figures showing spatial distribution of AC8 ( g ) and MG3 ( j ) clusters in the brains of WT and Tau Tg mice. k Representative images of coronal section of mouse brain by Xenium explorer. Scale bar = 1 mm. l Spatial information of Cxcl10 + astrocytes and microglia in the hippocampus of Tau Tg mice using Xenium explorer. Scale bar = 100 μm. Number of mice used: male WT (n = 1), male Tau Tg (n = 1), female WT (n = 1), and female Tau Tg (n = 1). Statistical analysis was performed using a Wilcoxon rank sum U statistic test ( d ). Source data are provided in the Source Data file.

    Article Snippet: FFPE brain sections were analyzed using Xenium spatial transcriptome analysis (10x Genomics).

    Techniques: Formalin-fixed Paraffin-Embedded, Olfactory, Gene Expression