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Human Aging Lung Cell Atlas

GSE281219 Homo sapiens Expression profiling by high throughput sequencing 32 samples 2025/12/30 GPL18573
Summary
Age is a substantial risk factor and is associated with worse prognosis in nearly all lung diseases. We performed scRNAseq to profile transcriptional changes in the aging human lung at single-cell resolution.
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NCBI GEO page ↗ Paper (PMID 41571679) ↗ {# 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 →
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