SenCat: Cataloging human cell senescence through multiomic profiling of multiple senescent primary cell types
Carlos Anerillas, Gisela Altés, Katarína Grešová, Dimitrios Tsitsipatis, Krystyna Mazan-Mamczarz, Reema Banarjee, Ana S.G. Cunningham, Martín Salamini-Montemurri, Jen‐Hao Yang, Rachel B. Munk, Martina Rossi, Yulan Piao, Bradley Olinger, Quinn Strassheim, Jennifer L. Martindale, , Myriam Gorospe
SenCat catalogs senescence markers across 14 human cell types using transcriptomic and proteomic profiling, revealing shared metabolic pathways and enabling machine learning-based identification of senescent cells.
Molecular Cell · Jun 11, 2026Peer-reviewedMolecular Biology