spatial transcriptome datasets (10X Genomics)

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10X Genomics spatial transcriptome datasets

(A) Expression of CNIH4 gene in each microdomain in BRCA spatial <t>transcriptome</t> sections; (B–E) The cell type with the largest proportion in each microdomain at BRCA idle resolution and the spatial transcriptome localization of the CNIH4 gene. Each dot is a spot for spatial transcriptome sequencing, and different colors represent different cell types. The darker the color (red) in the same spot, the higher the expression of the CNIH4 gene in the spot; (F–I) Spearman correlation of CNIH4 gene expression with each cell type in microdomains at idle resolution. The red line indicates a positive correlation, the green line denotes a negative correlation, the gray line signifies no statistical significance, and the thickness of the line reflects the absolute value of the correlation coefficient.

Spatial Transcriptome Datasets, 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/xenium+spatial+transcriptomic+dataset/dataset+spatial+transcriptome/pmc11882561-44-0-7
Average 86 stars, based on 1 article reviews

spatial transcriptome datasets - by Bioz Stars, 2026-09

86/100 stars

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1) Product Images from "Deciphering the role of CNIH4 in pan-cancer landscapes and its significance in breast cancer progression"

Article Title: Deciphering the role of CNIH4 in pan-cancer landscapes and its significance in breast cancer progression

Journal: Frontiers in Genetics

doi: 10.3389/fgene.2025.1536620

(A) Expression of CNIH4 gene in each microdomain in BRCA spatial transcriptome sections; (B–E) The cell type with the largest proportion in each microdomain at BRCA idle resolution and the spatial transcriptome localization of the CNIH4 gene. Each dot is a spot for spatial transcriptome sequencing, and different colors represent different cell types. The darker the color (red) in the same spot, the higher the expression of the CNIH4 gene in the spot; (F–I) Spearman correlation of CNIH4 gene expression with each cell type in microdomains at idle resolution. The red line indicates a positive correlation, the green line denotes a negative correlation, the gray line signifies no statistical significance, and the thickness of the line reflects the absolute value of the correlation coefficient.

Figure Legend Snippet: (A) Expression of CNIH4 gene in each microdomain in BRCA spatial transcriptome sections; (B–E) The cell type with the largest proportion in each microdomain at BRCA idle resolution and the spatial transcriptome localization of the CNIH4 gene. Each dot is a spot for spatial transcriptome sequencing, and different colors represent different cell types. The darker the color (red) in the same spot, the higher the expression of the CNIH4 gene in the spot; (F–I) Spearman correlation of CNIH4 gene expression with each cell type in microdomains at idle resolution. The red line indicates a positive correlation, the green line denotes a negative correlation, the gray line signifies no statistical significance, and the thickness of the line reflects the absolute value of the correlation coefficient.

Techniques Used: Expressing, Sequencing, Gene Expression

Single Cell:

Article Title: Comprehensive multi-omics analysis of the prognostic value and immune signature of NCF2 in pan-cancer and its relationship with acute myeloid leukemia.
Article Snippet: Background: The neutrophil cytoplasmic factor 2 (NCF2) gene encodes the p67phox protein, which has been implicated in the pathogenesis of several diseases.. However, its specific role in tumorigenesis remains ambiguous.. This study seeks to clarify the prognostic implications, immune profile, and therapeutic responses associated with NCF2 across different cancer types.

other:

Article Title: Deciphering the role of CNIH4 in pan-cancer landscapes and its significance in breast cancer progression
Article Snippet: Spatial transcriptome datasets were obtained from the 10x Genomics server ( https://www.10xgenomics.com/ ) and previous studies ( ; ). provide details of the spatial transcriptome dataset and detailed abbreviations for the 33 tumors.

Clinical Proteomics:

Article Title: Spatial transcriptomics study of Castleman disease.
Article Snippet: .. Therefore, we utilized spatial transcriptome technology on the 10X Genomics platform to study one normal lymph node and three lesion lymph nodes which were from CD patients with hyaline vascular, plasma cell, and mixed types, respectively. ..

Formalin-fixed Paraffin-Embedded:

Article Title: Identification and targeting of cancer-associated fibroblast signature genes for prognosis and therapy in Cutaneous melanoma.
Article Snippet: Background: Cancer-associated fibroblasts (CAFs) play pivotal roles in tumor invasion and metastasis.. However, studies on CAF biomarkers in Cutaneous Melanoma (CM) are still scarce.. This study aimed to explore the potential CAF biomarkers in CM, propose the potential therapeutic targets, and provide new insights for targeted therapy of CAFs in CM.

Gene Expression:

Article Title: SPathDB: a comprehensive database of spatial pathway activity atlas
Article Snippet: .. Spatial transcriptome datasets of human and mouse were collected from the Gene Expression Omnibus (GEO) database , 10× Genomics ( https://www.10xgenomics.com/ ), Mendeley Data ( https://data.mendeley.com/ ) and CROST ( https://ngdc.cncb.ac.cn/crost/ ). ..

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