← BioTransfer GEO Dataset Finder
GEO series

Single cell transcriptomic profiling reveals a dynamic molecular landscape and the importance of ligand-receptor genes and transcription factors during the progression of colorectal cancer

GSE261388 Homo sapiens Expression profiling by high throughput sequencing 10 samples 2025/02/01 GPL24676
Summary
By analyzing the scRNA-seq data from ten human colorectal specimens, which represent the four kinds of colorectal tissues (normal colorectal mucosa, inflammatory polyps, Adenomatous polyps and colorectal cancer), in combination with validation by immunofluorescence staining using expanded clinical samples, and together with verification using large scale TCGA and Kaplan–Meier data, we reveal a dynamic molecular landscape and the importance of ligand-receptor genes and transcription factors driving the colorectal carcinogenesis.
Download
NCBI GEO page ↗ Paper (PMID 40597160) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.