← BioTransfer GEO Dataset Finder
GEO series

Single-nucleus transcriptomic profiling of human lung tissue in chronic obstructive pulmonary disease (COPD) [snRNA-seq]

GSE310058 Homo sapiens Expression profiling by high throughput sequencing 149 samples 2025/11/17 GPL24676
Summary
Chronic obstructive pulmonary disease (COPD) is clinically and molecularly heterogeneous. To investigate COPD heterogeneity, we performed single-nucleus RNA sequencing (snRNA-seq) on lung tissue from individuals with and without COPD spanning the full disease spectrum. We generated 1,516,727 high-quality cell transcriptomes from 146 lung lobes obtained from 141 subjects. The dataset captures broad shifts in cellular composition and disease-associated cell states in epithelial, stromal, and immune populations. These data define the cellular landscape of COPD heterogeneity, revealing molecular drivers and biomarkers that could inform therapeutic strategies.
Download
NCBI GEO page ↗ Paper (PMID 41578022) ↗ {# 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.