Online Now: SenCat: Cataloging human cell senescence through multi-omic profiling of multiple senescent primary cell types Online now:
Anerillas et al. generated SenCat, a multi-omic atlas of senescence across diverse human cell types, revealing no universal markers but conserved damage-response and metabolic pathways. Machine-learning-derived signatures robustly recognize and quantify senescence across datasets, tissues, and species, providing a broadly applicable framework for identifying senescent cells in vivo.
