TY - JOUR
T1 - Advancing biological understanding of cellular senescence with computational multiomics
AU - SenNet Consortium
AU - Li, Sheng
AU - Agudelo Garcia, Paula A.
AU - Aliferis, Constantin
AU - Becich, Michael J.
AU - Calyeca, Jazmin
AU - Cosgrove, Benjamin D.
AU - Elisseeff, Jennifer
AU - Farzad, Negin
AU - Fertig, Elana J.
AU - Glass, Carolyn
AU - Gu, Liangcai
AU - Hu, Qianjiang
AU - Ji, Zhicheng
AU - Königshoff, Melanie
AU - LeBrasseur, Nathan K.
AU - Li, Dongmei
AU - Ma, Anjun
AU - Ma, Qin
AU - Menon, Vilas
AU - Mitchell, Jacob T.
AU - Mora, Ana L.
AU - Nagaraj, Sushma
AU - Nelson, Andrew C.
AU - Niedernhofer, Laura J.
AU - Rojas, Mauricio
AU - Taha, Hash Brown
AU - Wang, Jinhua
AU - Wang, Siyuan
AU - Wu, Pei Hsun
AU - Xie, Jichun
AU - Xu, Ming
AU - Yu, Miao
AU - Zhang, Xu
AU - Zhao, Yue
AU - Adams, Peter D.
AU - Aguayo-Mazzucato, Cristina
AU - Baker, Darren J.
AU - Benz, Christopher
AU - Bernlohr, David A.
AU - Bueno, Marta
AU - Chen, Jin
AU - Childs, Bennett G.
AU - Chuang, Jeffrey H.
AU - Chung, Dongjun
AU - Dileepan, Mythili
AU - Ding, Li
AU - Dong, Mingze
AU - Duncan, Francesca
AU - Enninful, Archibald
AU - Flynn, William F.
AU - Franco, Ana Catarina
AU - Furman, David
AU - Garovic, Vesna
AU - Halene, Stephanie
AU - Herman, Allison B.
AU - Hertzel, Ann V.
AU - Iwasaki, Kanako
AU - Jeon, Hyeongseon
AU - Kang, Jeon Woong
AU - Karmakar, Shilpita
AU - Kirkland, James L.
AU - Korstanje, Ron
AU - Kummerfeld, Erich
AU - Lee, Jun Hee
AU - Liu, Yang
AU - Lu, Yao
AU - Lugo-Martinez, Jose
AU - Martini, Helene
AU - Melov, Simon
AU - Musi, Nicolas
AU - Passos, João F.
AU - Peters, Samuel T.
AU - Rahman, Irfan
AU - Ramasamy, Ramalakshmi
AU - Rindone, Alexandra N.
AU - Robbins, Paul D.
AU - Robson, Paul
AU - Rodriguez-Lopez, Jhonny
AU - Rosas, Lorena
AU - Rosenthal, Nadia
AU - Schafer, Marissa J.
AU - Schilling, Birgit
AU - Schmidt, Elizabeth L.
AU - Schneider, Kevin
AU - Sengupta, Kaustav
AU - Shu, Jian
AU - So, Peter T.C.
AU - Sun, Li
AU - Tchkonia, Tamar
AU - Teneche, Marcos G.
AU - Vanegas, Natalia
AU - Wang, Julia
AU - Xie, Juan
AU - Yin, Shanshan
AU - Zhang, Ke
AU - Zhu, Quan
AU - Fan, Rong
N1 - Publisher Copyright:
© Springer Nature America, Inc. 2025.
PY - 2025/10
Y1 - 2025/10
N2 - Cellular senescence is a complex biological process that plays a pathophysiological role in aging and age-related diseases. The biological understanding of senescence at the cellular and tissue levels remains incomplete due to the lack of specific biomarkers as well as the relative rarity of senescent cells, their phenotypic heterogeneity and dynamic features. This Review provides a comprehensive overview of multiomic approaches for the characterization and biological understanding of cellular senescence. The technical capability and challenges of each approach are discussed, and practical guidelines are provided for selecting tools for identifying, characterizing and spatially mapping senescent cells. The importance of computational analyses in multiomics research, including senescent cell identification, signature detection and interactions of senescent cells with microenvironments, is highlighted. Moreover, tissue-specific case studies and experimental design considerations for individual organs are presented. Finally, future directions and the potential impact of multiomic approaches on the biological understanding of cellular senescence are discussed.
AB - Cellular senescence is a complex biological process that plays a pathophysiological role in aging and age-related diseases. The biological understanding of senescence at the cellular and tissue levels remains incomplete due to the lack of specific biomarkers as well as the relative rarity of senescent cells, their phenotypic heterogeneity and dynamic features. This Review provides a comprehensive overview of multiomic approaches for the characterization and biological understanding of cellular senescence. The technical capability and challenges of each approach are discussed, and practical guidelines are provided for selecting tools for identifying, characterizing and spatially mapping senescent cells. The importance of computational analyses in multiomics research, including senescent cell identification, signature detection and interactions of senescent cells with microenvironments, is highlighted. Moreover, tissue-specific case studies and experimental design considerations for individual organs are presented. Finally, future directions and the potential impact of multiomic approaches on the biological understanding of cellular senescence are discussed.
UR - https://www.scopus.com/pages/publications/105016833730
U2 - 10.1038/s41588-025-02314-y
DO - 10.1038/s41588-025-02314-y
M3 - Review article
C2 - 40954249
AN - SCOPUS:105016833730
SN - 1061-4036
VL - 57
SP - 2381
EP - 2394
JO - Nature Genetics
JF - Nature Genetics
IS - 10
ER -