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10X Genomics visium
Visium, 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/visium+spatial+transcriptomics+sequencing+data/visium/pm42115298-41-4-5
Average 86 stars, based on 1 article reviews

visium - by Bioz Stars, 2026-10

86/100 stars

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Spatial Transcriptomics:

Article Title: GenOT: generative optimal transport enables spatiotemporal interpolation and generation in cross-platform spatial transcriptomics.
Article Snippet: .. The typical evolution of spatial transcriptomics technologies is characterized by continuous improvement in spatial resolution, ranging from 10x Genomics Visium (55 μm spot resolution, AR TIC LE IN PR ES S capturing approximately 1-10 cells per spot) [5], to Slide-seq (~10 μm, near-cellular resolution) [6], and finally to Stereo-seq (0.22 μm, subcellular resolution) [7]. ..

Article Title: Understanding nerve–tumor interactions: From basic biology to therapeutic innovation
Article Snippet: .. 2D spatial transcriptomics, such as Visium (10x Genomics) and MERFISH (Multiplexed Error-Robust Fluorescence In Situ Hybridization), enable the precise mapping of transcriptomes to their corresponding locations in a 2D plane., , Compared with high-plex protein labeling, 2D spatial transcriptomics offers high-resolution spatial gene expression data and facilitates the discovery of novel spatially regulated genes within the TME. ..

Article Title: GLP1-E2 therapy delays autoimmune diabetes in late-stage prediabetic NOD mice and potentiates low-dose anti-CD3 therapy for enhanced disease protection.
Article Snippet: .. Analytically, we employed 10X Genomics Visium for spatial transcriptomics, which lacks true single-cell resolution compared with newer platforms such as Visium HD or Xenium. ..

Article Title: Analysis of unmapped RNA-seq data from cancer spatial transcriptome toward characterizing cancer microbiome.
Article Snippet: .. Recently, spatial transcriptomics, especially Visium (10X genomics, USA), has been garnering significant attention in cancer research. ..

Fluorescence:

In Situ Hybridization:

Labeling:

Gene Expression:

other:

Article Title: Integrative single-cell and spatial multi-Omics analyses identify NETs-driven colon cancer subtypes with distinct metabolic features and prognostic implications.
Article Snippet: ACC, Adrenocortical Carcinoma; ARRDC1, Arrestin Domain Containing 1; AUC, Area Under the Curve; AUCell, Area Under the Curve Cell-level scoring; BH, Benjamini–Hochberg; BLCA, Bladder Urothelial Carcinoma; AR TIC LE IN PR ES S BRCA, Breast Cancer; CESC, Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma; CHOL, Cholangiocarcinoma; CI, Confidence Interval; CNV, Copy Number Variation; COAD, Colon Adenocarcinoma; CRC, Colorectal Cancer; CSS, Cancer-Specific Survival; CXCR4, C-X-C Chemokine Receptor Type 4; DEGs, Differentially Expressed Genes; DUSP5, Dual-Specificity Phosphatase 5; ELISA, Enzyme-Linked Immunosorbent Assay; eQTL, Expression Quantitative Trait Locus; ESCA, Esophageal Carcinoma; FDR, False Discovery Rate; GDSC, Genomics of Drug Sensitivity in Cancer; GEO, Gene Expression Omnibus; GO, Gene Ontology; GSEA, Gene Set Enrichment Analysis; GWAS, Genome-Wide Association Study; HNSC, Head and Neck Squamous Cell Carcinoma; HPA, Human Protein Atlas; HR, Hazard Ratio; IC50, Half-Maximal Inhibitory Concentration; ICIs, Immune Checkpoint Inhibitors; KEGG, Kyoto Encyclopedia of Genes and Genomes; KICH, Kidney Chromophobe; KIRC, Kidney Renal Clear Cell Carcinoma; KM, Kaplan–Meier; AR TIC LE IN PR ES S LASSO, Least Absolute Shrinkage and Selection Operator; LGG, Low-Grade Glioma; LUAD, Lung Adenocarcinoma; MAPK, Mitogen-Activated Protein Kinase; MD, Molecular Dynamics; MESO, Mesothelioma; MIA, Multimodal Intersection Analysis; MIF, Macrophage Migration Inhibitory Factor; NETs, Neutrophil Extracellular Traps; OS, Overall Survival; PCA, Principal Component Analysis; READ, Rectal Adenocarcinoma; RMSD, Root Mean Square Deviation; ROC, Receiver Operating Characteristic; ROS, Reactive Oxygen Species; SARC, Sarcoma; scRNA-seq, Single-Cell RNA Sequencing; SLC2A3, Solute Carrier Family 2 Member 3; SNV, Single Nucleotide Variant; ssGSEA, Single-Sample Gene Set Enrichment Analysis; STAD, Stomach Adenocarcinoma; TAMs, Tumor-Associated Macrophages; TANs, Tumor-Associated Neutrophils; TCGA, The Cancer Genome Atlas; THCA, Thyroid Carcinoma; THYM, Thymoma; TIDE, Tumor Immune Dysfunction and Exclusion; TME, Tumor Microenvironment; TPM, Transcripts Per Million; AR TIC LE IN PR ES S Tregs, Regulatory T Cells; TUBB2A, Tubulin Beta Class 2A; UCEC, Uterine Corpus Endometrial Carcinoma; UMI, Unique Molecular Identifier; UVM, Uveal Melanoma; Visium, 10x Genomics Visium

Single Cell:

Expressing:

Article Title: SpatialBench : Comparative cross-platform benchmarking of high-resolution spatial transcriptomics using matched mouse lymphoid tissue
Article Snippet: .. The original Visium (10x Genomics) became the most widely adopted sST platform ( ) , offering transcriptome-wide coverage while aggregating expression from multiple cells per 55 μm resolution that aggregates expression from multiple cells per spot ( , ) . ..

Image Search Results

Spatial Transcriptomics in horizontally sectioned E14.5 mouse diaphragm identifies distinct tissues and muscle domains (A) Schematic representation of embryonic mouse diaphragm in which relevant anatomical regions are indicated. NMJ: Neuromuscular junction, MTJ: Myotendinous junction. (B) SpatialFeaturePlots demonstrating expression levels and distributions of representative genes for muscle, NMJ, MTJ and tendon. (C) SpatialDimPlot demonstrating the distribution of all the identified clusters within the diaphragm tissue. (D) Spatial distribution of representative Seurat clusters differentiating genetically specific domains in developing mouse diaphragm. (E) Uniform Manifold Approximation and Projection (UMAP) diagram of identified clusters of spatial RNA sequencing with muscle and endothelial clusters at the left and tendon and erythrocyte clusters at right. (F) FeaturePlots showing expression of muscle ( Ttn , Myh3 , Myh8 ), crural diaphragm ( Crlf1 ), NMJ ( Chrna1 , Chrng , Musk, Etv5 ), MTJ ( Col22a1 , Ankrd1 , Rxrg , Csrp3 ) and tendon ( Col12a1 , Antxr1, Tnmd , Tnc ) markers displayed by UMAP.

Journal: iScience

Article Title: Spatial transcriptomics in embryonic mouse diaphragm muscle reveals regional gradients and subdomains of developmental gene expression

doi: 10.1016/j.isci.2024.110018

Figure Lengend Snippet: Spatial Transcriptomics in horizontally sectioned E14.5 mouse diaphragm identifies distinct tissues and muscle domains (A) Schematic representation of embryonic mouse diaphragm in which relevant anatomical regions are indicated. NMJ: Neuromuscular junction, MTJ: Myotendinous junction. (B) SpatialFeaturePlots demonstrating expression levels and distributions of representative genes for muscle, NMJ, MTJ and tendon. (C) SpatialDimPlot demonstrating the distribution of all the identified clusters within the diaphragm tissue. (D) Spatial distribution of representative Seurat clusters differentiating genetically specific domains in developing mouse diaphragm. (E) Uniform Manifold Approximation and Projection (UMAP) diagram of identified clusters of spatial RNA sequencing with muscle and endothelial clusters at the left and tendon and erythrocyte clusters at right. (F) FeaturePlots showing expression of muscle ( Ttn , Myh3 , Myh8 ), crural diaphragm ( Crlf1 ), NMJ ( Chrna1 , Chrng , Musk, Etv5 ), MTJ ( Col22a1 , Ankrd1 , Rxrg , Csrp3 ) and tendon ( Col12a1 , Antxr1, Tnmd , Tnc ) markers displayed by UMAP.

Article Snippet: Visium Spatial Transcriptomics sequencing data were aligned using the default SpaceRanger (2.0.1) pipeline for FFPE slides in a Singularity Container running Ubuntu 22.04 on a high-performance cluster (Medical University of Innsbruck).

Techniques: Expressing, RNA Sequencing

Spatial Transcriptomics reveals distinct myogenic processes in the muscle center and periphery in E14.5 mouse diaphragm (A) SpatialFeaturePlots demonstrating expression levels and distributions of myogenic differentiation markers. (B) VlnPlots of expression levels of genes in clusters identified as muscle center, default muscle, and muscle periphery show an overall increase or decrease in expression of genes involved in muscle development from the center to the periphery. Y axis indicates expression levels. (C) Cnetplots showing GO terms in biological processes (red nodes) and their associated genes (blue nodes) for the upregulated genes in clusters annotated as muscle center compared to muscle periphery (top) or muscle periphery compared to muscle center (bottom). (D) Dotplots of expression of genes involved in myogenesis displaying a declining (right) or increasing (left) gradient in clusters from the muscle center, over default muscle (muscle middle), to the muscle periphery.

Journal: iScience

Article Title: Spatial transcriptomics in embryonic mouse diaphragm muscle reveals regional gradients and subdomains of developmental gene expression

doi: 10.1016/j.isci.2024.110018

Figure Lengend Snippet: Spatial Transcriptomics reveals distinct myogenic processes in the muscle center and periphery in E14.5 mouse diaphragm (A) SpatialFeaturePlots demonstrating expression levels and distributions of myogenic differentiation markers. (B) VlnPlots of expression levels of genes in clusters identified as muscle center, default muscle, and muscle periphery show an overall increase or decrease in expression of genes involved in muscle development from the center to the periphery. Y axis indicates expression levels. (C) Cnetplots showing GO terms in biological processes (red nodes) and their associated genes (blue nodes) for the upregulated genes in clusters annotated as muscle center compared to muscle periphery (top) or muscle periphery compared to muscle center (bottom). (D) Dotplots of expression of genes involved in myogenesis displaying a declining (right) or increasing (left) gradient in clusters from the muscle center, over default muscle (muscle middle), to the muscle periphery.

Techniques: Expressing

Spatial Transcriptomics in horizontally sectioned E18.5 mouse diaphragm identifies specific functional muscle domains and fiber types (A) SpatialFeaturePlots demonstrating expression levels and distributions of NMJ genes ( Chrna1 , Musk , Etv5 , Ache , Chrng, Chrne ), neonatal ( Myh8 ) and embryonic ( Myh3 ) myosin heavy chains, developmental troponin Tnnt2 , and ventral diaphragm markers ( Myog , Flnc , Csrp3 ). (B) Spatial distribution of Seurat clusters of distinct muscle and tendon domains. (C) UMAP representation of identified clusters of spatial RNA sequencing indicates spatially and functionally divergent differentiation of diaphragm muscle. (D) FeaturePlots demonstrating expression of muscle ( Ttn , Myh3 , Myh8 ), type I muscle ( Myh7, Myl2, Myl3 ), type IIb muscle ( Myh4 , Pvalb , Mybpc2 ), NMJ ( Chrna1 , Musk , Etv5 ), MTJ ( Col22a1 , Ankrd1 , Uchl1 ) and tendon ( Tnmd , Col11a1 , Scx ) markers displayed by UMAP.

Journal: iScience

Article Title: Spatial transcriptomics in embryonic mouse diaphragm muscle reveals regional gradients and subdomains of developmental gene expression

doi: 10.1016/j.isci.2024.110018

Figure Lengend Snippet: Spatial Transcriptomics in horizontally sectioned E18.5 mouse diaphragm identifies specific functional muscle domains and fiber types (A) SpatialFeaturePlots demonstrating expression levels and distributions of NMJ genes ( Chrna1 , Musk , Etv5 , Ache , Chrng, Chrne ), neonatal ( Myh8 ) and embryonic ( Myh3 ) myosin heavy chains, developmental troponin Tnnt2 , and ventral diaphragm markers ( Myog , Flnc , Csrp3 ). (B) Spatial distribution of Seurat clusters of distinct muscle and tendon domains. (C) UMAP representation of identified clusters of spatial RNA sequencing indicates spatially and functionally divergent differentiation of diaphragm muscle. (D) FeaturePlots demonstrating expression of muscle ( Ttn , Myh3 , Myh8 ), type I muscle ( Myh7, Myl2, Myl3 ), type IIb muscle ( Myh4 , Pvalb , Mybpc2 ), NMJ ( Chrna1 , Musk , Etv5 ), MTJ ( Col22a1 , Ankrd1 , Uchl1 ) and tendon ( Tnmd , Col11a1 , Scx ) markers displayed by UMAP.

Techniques: Functional Assay, Expressing, RNA Sequencing

Spatial transcriptomics reveals aberrant regulation of myogenic genes in Ca V 1.1 −/− mice (A) FeaturePlots showing expression of Ttn (muscle), Chrna1 and Musk (NMJ) displayed by UMAP in control and Ca V 1.1 −/− integrated dataset at E14.5 (left) and E18.5 (right). (B) Violin plots showing expression of representative genes differentially expressed in control and Ca V 1.1 −/− samples at E14.5 and E18.5. Y axis indicates expression level. (C) FeaturePlots of module scores of muscle differentiation markers displayed by UMAP in E18.5 control and Ca V 1.1 −/− integrated dataset show increased expression of early markers (top) and a decreased expression of late markers (bottom) in Ca V 1.1 −/− muscles. (D) Venn diagrams of top 200 DEGs genes and GO terms for these genes between E14.5 control and E18.5 control and between E18.5 Ca V 1.1 −/− and E18.5 control muscles indicate more shared genes and GO terms for upregulated genes in E18.5 Ca V 1.1 −/− with E14.5 control muscle and for downregulated genes in E18.5 Ca V 1.1 −/− with E18.5 control muscle. (E) FeaturePlots showing expression of Klf5 and Tead4 displayed by UMAP in control and Ca V 1.1 −/− integrated dataset at E14.5 (left) and E18.5 (right). (F) Violin plots of Klf5 and Tead4 expression in muscle clusters of E14.5 and E18.5 control and Ca V 1.1 −/− spatial datasets. Y axis indicates expression level.

Journal: iScience

Article Title: Spatial transcriptomics in embryonic mouse diaphragm muscle reveals regional gradients and subdomains of developmental gene expression

doi: 10.1016/j.isci.2024.110018

Figure Lengend Snippet: Spatial transcriptomics reveals aberrant regulation of myogenic genes in Ca V 1.1 −/− mice (A) FeaturePlots showing expression of Ttn (muscle), Chrna1 and Musk (NMJ) displayed by UMAP in control and Ca V 1.1 −/− integrated dataset at E14.5 (left) and E18.5 (right). (B) Violin plots showing expression of representative genes differentially expressed in control and Ca V 1.1 −/− samples at E14.5 and E18.5. Y axis indicates expression level. (C) FeaturePlots of module scores of muscle differentiation markers displayed by UMAP in E18.5 control and Ca V 1.1 −/− integrated dataset show increased expression of early markers (top) and a decreased expression of late markers (bottom) in Ca V 1.1 −/− muscles. (D) Venn diagrams of top 200 DEGs genes and GO terms for these genes between E14.5 control and E18.5 control and between E18.5 Ca V 1.1 −/− and E18.5 control muscles indicate more shared genes and GO terms for upregulated genes in E18.5 Ca V 1.1 −/− with E14.5 control muscle and for downregulated genes in E18.5 Ca V 1.1 −/− with E18.5 control muscle. (E) FeaturePlots showing expression of Klf5 and Tead4 displayed by UMAP in control and Ca V 1.1 −/− integrated dataset at E14.5 (left) and E18.5 (right). (F) Violin plots of Klf5 and Tead4 expression in muscle clusters of E14.5 and E18.5 control and Ca V 1.1 −/− spatial datasets. Y axis indicates expression level.

Techniques: Expressing, Control, Muscles

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visium (10X Genomics)

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Spatial Transcriptomics:

Fluorescence:

In Situ Hybridization:

Labeling:

Gene Expression:

other:

Single Cell:

Expressing:

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