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visium formalin-fixed, paraffin-embedded spatial transcriptomics analysis  (Spatial Transcriptomics Inc)

 
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    Structured Review

    Spatial Transcriptomics Inc visium formalin-fixed, paraffin-embedded spatial transcriptomics analysis
    Visium Formalin Fixed, Paraffin Embedded Spatial Transcriptomics Analysis, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/spatial+transcriptome+analysis+visium/visium+spatial+transcriptomics/pm39566842-51-2-3
    Average 90 stars, based on 1 article reviews
    visium formalin-fixed, paraffin-embedded spatial transcriptomics analysis - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Erbin interacts with NHERF1 and Ezrin to stabilize a membrane ErbB2 signaling complex in HER2-positive breast cancer.
    Article Snippet: We also examined the spatial correlation between the expression of ERBB2, SLC9A3R, and EZR in breast cancer cells, using a spatial transcriptomics (visium) database of human breast cancer [30].

    Article Title: The role of UBR2 in triple-negative breast cancer and its implications for immune checkpoint blockade therapy
    Article Snippet: This dual-model system enables mechanistic exploration of UBR2: (1) Regulation of PD-L1 via immunoblotting and flow cytometry. (2) Immunosuppressive microenvironment modulation through cytokine profiling (Luminex) and spatial transcriptomics (Visium).

    Spatial Transcriptomics:

    Article Title: Cell states and neighborhoods in distinct clinical stages of primary and metastatic esophageal adenocarcinoma
    Article Snippet: Processed single-nuclei ATAC-seq data , This paper , Single-cell portal: SCP3029. .. Raw and processed spatial transcriptomics Visium data , This paper , Zenodo: 10.5281/zenodo.15341263. .. Raw and processed spatial transcriptomics Xenium data , This paper , Zenodo: 10.5281/zenodo.15341263.

    Article Title: Integrating spatial and single-cell transcriptomics to characterize mouse long bone fracture healing process.
    Article Snippet: .. Spatial transcriptomics has advanced our ability to probe intercellular communication within the bone healingmicroenvironment, shedding light on the complex interplay that orchestrates the healingprocess.Although the resolution of currently employed spatial transcriptomic platforms such as Visium is not sufficient to detail communications between individual cells within each spot—which can contain 2–10 cells of potentially different types —the integration of computational deconvolution methods such as CARD has enabled us to infer probable cell types within these spots. ..

    Article Title: Integrating bulk and single-cell RNA sequencing reveals intratumor heterogeneity phenotypes and immune infiltration in pancreatic cancer.
    Article Snippet: .. Quan Y, Zhang H, Wang M, Ping H. Visium Spatial transcriptomics reveals intratumor heterogeneity and profiles of Gleason score progression in prostate cancer. iScience. ..

    Article Title: Spatial transcriptomics reveal PI3K-AKT and metabolic alterations in aggressive, treatment-resistant lactotroph pituitary neuroendocrine tumors.
    Article Snippet: .. Visium Spatial Transcriptomics (ST), whole transcriptome sequencing (WTS), and whole exome sequencing (WES) were performed in tumors from 4 of these patients; WTS and WES was carried out in 5; tumors from two patients underwent ST and WES and tumors from two other patients underwent only ST. One of the patients presented to the ear, nose and throat department with a mass in the sphenoid sinus, which was biopsied and turned out to be a PRL-secreting lesion documented by MRI, so she was treated with cabergoline. ..

    Gene Expression:

    Article Title: Current cutting-edge omics techniques on musculoskeletal tissues and diseases.
    Article Snippet: .. By localizing gene expression within the three-dimensional architecture of bone tissues, the study provided unparalleled insights into spatial genetic changes during fracture repair.188 Using the Visium CytAssist spatial transcriptomics platform, researchers successfully mapped genes associated with hard callus (e.g., Dmp1 and Sost) and soft callus (e.g., Acan and Col2a1) while preserving the spatial integrity of the tissue. ..

    Preserving:

    Article Title: Current cutting-edge omics techniques on musculoskeletal tissues and diseases.
    Article Snippet: .. By localizing gene expression within the three-dimensional architecture of bone tissues, the study provided unparalleled insights into spatial genetic changes during fracture repair.188 Using the Visium CytAssist spatial transcriptomics platform, researchers successfully mapped genes associated with hard callus (e.g., Dmp1 and Sost) and soft callus (e.g., Acan and Col2a1) while preserving the spatial integrity of the tissue. ..

    Article Title: Current cutting-edge omics techniques on musculoskeletal tissues and diseases
    Article Snippet: .. Using the Visium CytAssist spatial transcriptomics platform, researchers successfully mapped genes associated with hard callus (e.g., Dmp1 and Sost ) and soft callus (e.g., Acan and Col2a1 ) while preserving the spatial integrity of the tissue. ..

    Sequencing:

    Article Title: Spatial transcriptomics reveal PI3K-AKT and metabolic alterations in aggressive, treatment-resistant lactotroph pituitary neuroendocrine tumors.
    Article Snippet: .. Visium Spatial Transcriptomics (ST), whole transcriptome sequencing (WTS), and whole exome sequencing (WES) were performed in tumors from 4 of these patients; WTS and WES was carried out in 5; tumors from two patients underwent ST and WES and tumors from two other patients underwent only ST. One of the patients presented to the ear, nose and throat department with a mass in the sphenoid sinus, which was biopsied and turned out to be a PRL-secreting lesion documented by MRI, so she was treated with cabergoline. ..

    Magnetic Resonance Imaging:

    Article Title: Spatial transcriptomics reveal PI3K-AKT and metabolic alterations in aggressive, treatment-resistant lactotroph pituitary neuroendocrine tumors.
    Article Snippet: .. Visium Spatial Transcriptomics (ST), whole transcriptome sequencing (WTS), and whole exome sequencing (WES) were performed in tumors from 4 of these patients; WTS and WES was carried out in 5; tumors from two patients underwent ST and WES and tumors from two other patients underwent only ST. One of the patients presented to the ear, nose and throat department with a mass in the sphenoid sinus, which was biopsied and turned out to be a PRL-secreting lesion documented by MRI, so she was treated with cabergoline. ..



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    10X Genomics visium spatial transcriptomics analysis
    ( A ) Samples of nuclei were derived from three whole dissociated hearts to generate distinct single-cell RNA-seq datasets at 8.6 post-conceptional weeks (pcw, confirmed XX genotype), 9.0 pcw (XY) and 10.7 pcw (XY). Samples of spatial transcriptomic analysis were derived from two whole dissociated hearts to collect cryosections and generate <t>Visium</t> datasets at 8.4 pcw (XY, 2 sections) and 9.7 pcw (XX, 4 sections). ( B ) Integrated UMAP representation of 49,227 profiled nuclei coloured by cell type. ( C ) UMAP representation of profiled nuclei as in (B) but separated by sample. Arrows indicate cluster 12 (SMC) in each, but that all cell types are present at each sample. ( D ) UMAP plots per sample indicating that all cell classes are also represented in each sample. ( E ) Dot plot of top marker genes for each Class (y axis: cardiomyocytes (I), endocardiovascular cells (II), stroma (III), epicardium (IV), blood (V) and neural crest progeny (VI). The size of the dot represents the percent of nuclei with transcripts at non-zero levels, and color intensity represents average log-normalized expression of the gene where relative abundance of typical markers is indicative of cell class. ( F ) UMAP feature plots of representative gene expression in Classes I to VI for MYH7 (cardiomyocytes), PECAM1 (endothelial and endocardial cells), EBF2 (stroma), TBX18 (epicardium), SPP1 (immune cells) and NRXN1 (neural crest). ( G ) Heatmap showing selected genes expressed in the nine cardiomyocyte clusters of Class I compared with the minority populations of lymphatic endothelium, Schwann cell precursors and neuroendocrine cells. Each column displays gene expression of an individual cell and genes are listed in the rows.
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    10X Genomics visium spatial transcriptome analysis
    ( A ) Samples of nuclei were derived from three whole dissociated hearts to generate distinct single-cell RNA-seq datasets at 8.6 post-conceptional weeks (pcw, confirmed XX genotype), 9.0 pcw (XY) and 10.7 pcw (XY). Samples of spatial transcriptomic analysis were derived from two whole dissociated hearts to collect cryosections and generate <t>Visium</t> datasets at 8.4 pcw (XY, 2 sections) and 9.7 pcw (XX, 4 sections). ( B ) Integrated UMAP representation of 49,227 profiled nuclei coloured by cell type. ( C ) UMAP representation of profiled nuclei as in (B) but separated by sample. Arrows indicate cluster 12 (SMC) in each, but that all cell types are present at each sample. ( D ) UMAP plots per sample indicating that all cell classes are also represented in each sample. ( E ) Dot plot of top marker genes for each Class (y axis: cardiomyocytes (I), endocardiovascular cells (II), stroma (III), epicardium (IV), blood (V) and neural crest progeny (VI). The size of the dot represents the percent of nuclei with transcripts at non-zero levels, and color intensity represents average log-normalized expression of the gene where relative abundance of typical markers is indicative of cell class. ( F ) UMAP feature plots of representative gene expression in Classes I to VI for MYH7 (cardiomyocytes), PECAM1 (endothelial and endocardial cells), EBF2 (stroma), TBX18 (epicardium), SPP1 (immune cells) and NRXN1 (neural crest). ( G ) Heatmap showing selected genes expressed in the nine cardiomyocyte clusters of Class I compared with the minority populations of lymphatic endothelium, Schwann cell precursors and neuroendocrine cells. Each column displays gene expression of an individual cell and genes are listed in the rows.
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    Image Search Results


    ( A ) Samples of nuclei were derived from three whole dissociated hearts to generate distinct single-cell RNA-seq datasets at 8.6 post-conceptional weeks (pcw, confirmed XX genotype), 9.0 pcw (XY) and 10.7 pcw (XY). Samples of spatial transcriptomic analysis were derived from two whole dissociated hearts to collect cryosections and generate Visium datasets at 8.4 pcw (XY, 2 sections) and 9.7 pcw (XX, 4 sections). ( B ) Integrated UMAP representation of 49,227 profiled nuclei coloured by cell type. ( C ) UMAP representation of profiled nuclei as in (B) but separated by sample. Arrows indicate cluster 12 (SMC) in each, but that all cell types are present at each sample. ( D ) UMAP plots per sample indicating that all cell classes are also represented in each sample. ( E ) Dot plot of top marker genes for each Class (y axis: cardiomyocytes (I), endocardiovascular cells (II), stroma (III), epicardium (IV), blood (V) and neural crest progeny (VI). The size of the dot represents the percent of nuclei with transcripts at non-zero levels, and color intensity represents average log-normalized expression of the gene where relative abundance of typical markers is indicative of cell class. ( F ) UMAP feature plots of representative gene expression in Classes I to VI for MYH7 (cardiomyocytes), PECAM1 (endothelial and endocardial cells), EBF2 (stroma), TBX18 (epicardium), SPP1 (immune cells) and NRXN1 (neural crest). ( G ) Heatmap showing selected genes expressed in the nine cardiomyocyte clusters of Class I compared with the minority populations of lymphatic endothelium, Schwann cell precursors and neuroendocrine cells. Each column displays gene expression of an individual cell and genes are listed in the rows.

    Journal: bioRxiv

    Article Title: Multi-modal refinement of the human heart atlas during the first gestational trimester

    doi: 10.1101/2024.11.21.624698

    Figure Lengend Snippet: ( A ) Samples of nuclei were derived from three whole dissociated hearts to generate distinct single-cell RNA-seq datasets at 8.6 post-conceptional weeks (pcw, confirmed XX genotype), 9.0 pcw (XY) and 10.7 pcw (XY). Samples of spatial transcriptomic analysis were derived from two whole dissociated hearts to collect cryosections and generate Visium datasets at 8.4 pcw (XY, 2 sections) and 9.7 pcw (XX, 4 sections). ( B ) Integrated UMAP representation of 49,227 profiled nuclei coloured by cell type. ( C ) UMAP representation of profiled nuclei as in (B) but separated by sample. Arrows indicate cluster 12 (SMC) in each, but that all cell types are present at each sample. ( D ) UMAP plots per sample indicating that all cell classes are also represented in each sample. ( E ) Dot plot of top marker genes for each Class (y axis: cardiomyocytes (I), endocardiovascular cells (II), stroma (III), epicardium (IV), blood (V) and neural crest progeny (VI). The size of the dot represents the percent of nuclei with transcripts at non-zero levels, and color intensity represents average log-normalized expression of the gene where relative abundance of typical markers is indicative of cell class. ( F ) UMAP feature plots of representative gene expression in Classes I to VI for MYH7 (cardiomyocytes), PECAM1 (endothelial and endocardial cells), EBF2 (stroma), TBX18 (epicardium), SPP1 (immune cells) and NRXN1 (neural crest). ( G ) Heatmap showing selected genes expressed in the nine cardiomyocyte clusters of Class I compared with the minority populations of lymphatic endothelium, Schwann cell precursors and neuroendocrine cells. Each column displays gene expression of an individual cell and genes are listed in the rows.

    Article Snippet: As transcriptomics of single nuclei is high-resolution but sparse, and removes informative positional information from samples, we also undertook 10x Genomics Visium spatial transcriptomics analysis on two sections from a male heart collected at 8.4 pcw and four sections from a female one at 9.7 pcw ( , Figs. S4-9).

    Techniques: Derivative Assay, RNA Sequencing Assay, Marker, Expressing

    ( A ) Seurat UMAP (Uniform Manifold Approximation and Projection) plot of integrated spatial transcriptomic data from two 8.4 postconceptional week (pcw) heart sections and four 9.7 pcw heart sections. Each dot represents a spot covered by a histological section on the Visium spatial capture slides. 14 clusters of the developing heart corresponding to cardiac cell types are listed. ( B ) Visualization of clustering on each heart section after integration of spatial transcriptomic data. Cluster annotations and colors match those of the UMAP in A. ( C ) Spatial plots showing gene expression on heart sections, with highest expression in red and lower expression in blue. RV, right ventricle; LV, left ventricle; RA, right atrium; LA, left atrium; Ao, aorta.

    Journal: bioRxiv

    Article Title: Multi-modal refinement of the human heart atlas during the first gestational trimester

    doi: 10.1101/2024.11.21.624698

    Figure Lengend Snippet: ( A ) Seurat UMAP (Uniform Manifold Approximation and Projection) plot of integrated spatial transcriptomic data from two 8.4 postconceptional week (pcw) heart sections and four 9.7 pcw heart sections. Each dot represents a spot covered by a histological section on the Visium spatial capture slides. 14 clusters of the developing heart corresponding to cardiac cell types are listed. ( B ) Visualization of clustering on each heart section after integration of spatial transcriptomic data. Cluster annotations and colors match those of the UMAP in A. ( C ) Spatial plots showing gene expression on heart sections, with highest expression in red and lower expression in blue. RV, right ventricle; LV, left ventricle; RA, right atrium; LA, left atrium; Ao, aorta.

    Article Snippet: As transcriptomics of single nuclei is high-resolution but sparse, and removes informative positional information from samples, we also undertook 10x Genomics Visium spatial transcriptomics analysis on two sections from a male heart collected at 8.4 pcw and four sections from a female one at 9.7 pcw ( , Figs. S4-9).

    Techniques: Expressing