NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health

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  • Patty J. Lee
  • Christopher C. Benz
  • Philip Blood
  • Katy Börner
  • Judith Campisi
  • Feng Chen
  • Heike Daldrup-Link
  • Phil De Jager
  • Li Ding
  • Francesca E. Duncan
  • Oliver Eickelberg
  • Rong Fan
  • Toren Finkel
  • David Furman
  • Vesna Garovic
  • Nils Gehlenborg
  • Carolyn Glass
  • Heckenbach, Indra John
  • Ziv Bar Joseph
  • Pragati Katiyar
  • So Jin Kim
  • Melanie Königshoff
  • George A. Kuchel
  • Haesung Lee
  • Jun Hee Lee
  • Jian Ma
  • Qin Ma
  • Simon Melov
  • Kay Metis
  • Ana L. Mora
  • Nicolas Musi
  • Nicola Neretti
  • João F. Passos
  • Irfan Rahman
  • Juan Carlos Rivera-Mulia
  • Paul Robson
  • Mauricio Rojas
  • Ananda L. Roy
  • Scheibye-Knudsen, Morten
  • Birgit Schilling
  • Pixu Shi
  • Jonathan C. Silverstein
  • Vidyani Suryadevara
  • Jichun Xie
  • Jinhua Wang
  • A. Ian Wong
  • Laura J. Niedernhofer
  • Siyuan Wang
  • Hannah Anvari
  • Julia Balough
  • Stanford TDA
  • University of Connecticut TMC
  • University of Michigan TDA
  • University of Minnesota TMC
  • University of Pittsburgh TMC
  • University of Washington TDA
  • Washington University TMC
  • Yale TMC
  • SenNet Consortium
  • Writing Group
  • Brown University TDA
  • Buck Institute for Research on Aging TMC/TDA
  • Consortium Organization and Data Coordinating Center (CODCC)
  • Columbia TMC
  • Duke University TMC
  • Massachusetts General Hospital TDA
  • Mayo Clinic TDA
  • National Institute of Health (NIH)

Cells respond to many stressors by senescing, acquiring stable growth arrest, morphologic and metabolic changes, and a proinflammatory senescence-associated secretory phenotype. The heterogeneity of senescent cells (SnCs) and senescence-associated secretory phenotype are vast, yet ill characterized. SnCs have diverse roles in health and disease and are therapeutically targetable, making characterization of SnCs and their detection a priority. The Cellular Senescence Network (SenNet), a National Institutes of Health Common Fund initiative, was established to address this need. The goal of SenNet is to map SnCs across the human lifespan to advance diagnostic and therapeutic approaches to improve human health. State-of-the-art methods will be applied to identify, define and map SnCs in 18 human tissues. A common coordinate framework will integrate data to create four-dimensional SnC atlases. Other key SenNet deliverables include innovative tools and technologies to detect SnCs, new SnC biomarkers and extensive public multi-omics datasets. This Perspective lays out the impetus, goals, approaches and products of SenNet.

Original languageEnglish
JournalNature Aging
Volume2
Issue number12
Pages (from-to)1090-1100
Number of pages11
ISSN2662-8465
DOIs
Publication statusPublished - 2022

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