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

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)

doi:10.1038/s43587-022-00326-5

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

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)

Research output: Contribution to journal › Article › peer-review

62 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	1090-1100
Number of pages	11
Journal	Nature Aging
Volume	2
Issue number	12
DOIs	https://doi.org/10.1038/s43587-022-00326-5
State	Published - Dec 2022

ASJC Scopus subject areas

Neuroscience (miscellaneous)
Aging
Geriatrics and Gerontology

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10.1038/s43587-022-00326-5

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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) (2022). NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health. Nature Aging, 2(12), 1090-1100. https://doi.org/10.1038/s43587-022-00326-5

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) 2022, 'NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health', Nature Aging, vol. 2, no. 12, pp. 1090-1100. https://doi.org/10.1038/s43587-022-00326-5

@article{5b84e096516d46c68045ea4e6abb9bed,

title = "NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health",

abstract = "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.",

author = "{Stanford TDA} and {University of Connecticut TMC} and {University of Michigan TDA} and {University of Minnesota TMC} and {University of Pittsburgh TMC} and {University of Washington TDA} and {Washington University TMC} and {Yale TMC} and {SenNet Consortium} and {Writing group} and {Brown University TDA} and {Buck Institute for Research on Aging TMC/TDA} and {Consortium Organization and Data Coordinating Center (CODCC)} and {Columbia TMC} and {Duke University TMC} and {Massachusetts General Hospital TDA} and {Mayo Clinic TDA} and {National Institute of Health (NIH)} and Lee, {Patty J.} and Benz, {Christopher C.} and Philip Blood and Katy B{\"o}rner and Judith Campisi and Feng Chen and Heike Daldrup-Link and {De Jager}, Phil and Li Ding and Duncan, {Francesca E.} and Oliver Eickelberg and Rong Fan and Toren Finkel and David Furman and Vesna Garovic and Nils Gehlenborg and Carolyn Glass and Indra Heckenbach and Joseph, {Ziv Bar} and Pragati Katiyar and Kim, {So Jin} and Melanie K{\"o}nigshoff and Kuchel, {George A.} and Haesung Lee and Lee, {Jun Hee} and Jian Ma and Qin Ma and Simon Melov and Kay Metis and Mora, {Ana L.} and Nicolas Musi and Nicola Neretti and Passos, {Jo{\~a}o F.} and Irfan Rahman and Rivera-Mulia, {Juan Carlos} and Paul Robson and Mauricio Rojas and Roy, {Ananda L.} and Morten Scheibye-Knudsen and Birgit Schilling and Pixu Shi and Silverstein, {Jonathan C.} and Vidyani Suryadevara and Jichun Xie and Jinhua Wang and Francisco Cigarroa and Cortes, {Tiffany M.} and Espinoza, {Sara E.} and Jon Gelfond and Seiji Yamaguchi",

note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature America, Inc.",

year = "2022",

month = dec,

doi = "10.1038/s43587-022-00326-5",

language = "English (US)",

volume = "2",

pages = "1090--1100",

journal = "Nature Aging",

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T1 - NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health

AU - Stanford TDA

AU - University of Connecticut TMC

AU - University of Michigan TDA

AU - University of Minnesota TMC

AU - University of Pittsburgh TMC

AU - University of Washington TDA

AU - Washington University TMC

AU - Yale TMC

AU - SenNet Consortium

AU - Writing group

AU - Brown University TDA

AU - Buck Institute for Research on Aging TMC/TDA

AU - Consortium Organization and Data Coordinating Center (CODCC)

AU - Columbia TMC

AU - Duke University TMC

AU - Massachusetts General Hospital TDA

AU - Mayo Clinic TDA

AU - National Institute of Health (NIH)

AU - Lee, Patty J.

AU - Benz, Christopher C.

AU - Blood, Philip

AU - Börner, Katy

AU - Campisi, Judith

AU - Chen, Feng

AU - Daldrup-Link, Heike

AU - De Jager, Phil

AU - Ding, Li

AU - Duncan, Francesca E.

AU - Eickelberg, Oliver

AU - Fan, Rong

AU - Finkel, Toren

AU - Furman, David

AU - Garovic, Vesna

AU - Gehlenborg, Nils

AU - Glass, Carolyn

AU - Heckenbach, Indra

AU - Joseph, Ziv Bar

AU - Katiyar, Pragati

AU - Kim, So Jin

AU - Königshoff, Melanie

AU - Kuchel, George A.

AU - Lee, Haesung

AU - Lee, Jun Hee

AU - Ma, Jian

AU - Ma, Qin

AU - Melov, Simon

AU - Metis, Kay

AU - Mora, Ana L.

AU - Musi, Nicolas

AU - Neretti, Nicola

AU - Passos, João F.

AU - Rahman, Irfan

AU - Rivera-Mulia, Juan Carlos

AU - Robson, Paul

AU - Rojas, Mauricio

AU - Roy, Ananda L.

AU - Scheibye-Knudsen, Morten

AU - Schilling, Birgit

AU - Shi, Pixu

AU - Silverstein, Jonathan C.

AU - Suryadevara, Vidyani

AU - Xie, Jichun

AU - Wang, Jinhua

AU - Cigarroa, Francisco

AU - Cortes, Tiffany M.

AU - Espinoza, Sara E.

AU - Gelfond, Jon

AU - Yamaguchi, Seiji

PY - 2022/12

Y1 - 2022/12

N2 - 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.

AB - 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.

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EP - 1100

JO - Nature Aging

JF - Nature Aging

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ER -

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

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