1210-SenCat: Atlas for Decoding Human Cell Senescence

Paper Talk · Jun 30, 2026 · 22m

This research introduces SenCat, a comprehensive multi-omic atlas designed to map cellular senescence across 14 human primary cell types and over 30 experimental models. By analyzing transcriptomes and proteomes, the researchers discovered that while senescent cells lack a single universal marker, they share conserved metabolic and damage-response pathways. To overcome the challenge of cellular heterogeneity, the study utilized machine learning to develop robust senescence scoring systems that outperform traditional indicators like p16 or p21. These ML-derived signatures were successfully…