quantitative whole transcriptome rna sequencing (10X Genomics)

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10X Genomics quantitative whole transcriptome rna sequencing
Quantitative Whole Transcriptome Rna Sequencing, 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+transcriptomics+sequencing+methods+based+on+barcoded+array+chips/visium/pmc10245699-26-16-20
Average 86 stars, based on 1 article reviews

quantitative whole transcriptome rna sequencing - 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 ( , ) . ..

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