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SenCat: Cataloging human cell senescence through multi-omic profiling of multiple senescent primary cell types

Carlos Anerillas, Gisela Altés, Katarina Gresova, Dimitrios Tsitsipatis, Krystyna Mazan-Mamczarz, Reema Banarjee, Ana S. G. Cunningham, Martin Salamini-Montemurri, Jen-Hao Yang, Rachel Munk, Martina Rossi, Yulan Piao, Bradley Olinger, Quinn Strassheim, Jennifer L. Martindale, Jinshui Fan, Chang-Yi Cui, Supriyo De, Delaney V. Rutherford, Ying Hao, Ziyi Li, Jessica Roberts, Yue Andy Qi, Kotb Abdelmohsen, Rafael de Cabo, Allison B. Herman, Manolis Maragkakis, Nathan Basisty, Myriam Gorospe
Molecular Cell. 2026. doi: 10.1016/j.molcel.2026.05.017
https://www.cell.com/molecular-cell/abstract/S1097-2765(26)00323-0
Keywords
aging
Machine Learning
Mass spectrometry
Proteomics
senolytics
senotype
single-nuclei RNA-sequencing
Transcriptomics
Library Collection(s)
Aging
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The content of this website is adapted from Krebs et al., Author Guide for Addressing Animal Methods Bias in Publishing. Advanced Science. 2023 Aug 30:e2303226. doi: 10.1002/advs.202303226. © 2023 by Krebs et al. is licensed under CC BY 4.0. Advanced Science, published by Wiley-VCH GmbH. Wiley-VCH GmbH does not endorse the COLAAB, nor our use of the content. 

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