TY - JOUR
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 - Wong, A. Ian
AU - Niedernhofer, Laura J.
AU - Wang, Siyuan
AU - Anvari, Hannah
AU - Balough, Julia
AU - Benz, Christopher
AU - Bons, Joanna
AU - Brenerman, Boris
AU - Evans, William
AU - Gerencser, Akos
AU - Gregory, Heather
AU - Hansen, Malene
AU - Justice, Jamie
AU - Kapahi, Pankaj
AU - Murad, Natalia
AU - O’Broin, Amy
AU - Pavone, Mary Ellen
AU - Powell, Mark
AU - Scott, Gary
AU - Shanes, Elisheva
AU - Shankaran, Mahalakshmi
AU - Verdin, Eric
AU - Winer, Daniel
AU - Wu, Fei
AU - Adams, Andrew
AU - Blood, Philip D.
AU - Bueckle, Andreas
AU - Cao-Berg, Ivan
AU - Chen, Hao
AU - Davis, Michael
AU - Filus, Shane
AU - Hao, Yuhan
AU - Hartman, Austin
AU - Hasanaj, Euxhen
AU - Helfer, Jesse
AU - Herr, Bruce
AU - Joseph, Ziv Bar
AU - Molla, Gesmira
AU - Mou, Gloria
AU - Puerto, Juan
AU - Quardokus, Ellen M.
AU - Ropelewski, Alexander J.
AU - Ruffalo, Matt
AU - Satija, Rahul
AU - Schwenk, Melissa
AU - Scibek, Robin
AU - Shirey, William
AU - Sibilla, Max
AU - Welling, Joel
AU - Yuan, Zhou
AU - Bonneau, Richard
AU - Christiano, Angela
AU - Izar, Benjamin
AU - Menon, Vilas
AU - Owens, David M.
AU - Phatnani, Hemali
AU - Smith, Colin
AU - Suh, Yousin
AU - Teich, Andrew F.
AU - Bekker, Valerie
AU - Chan, Cliburn
AU - Coutavas, Elias
AU - Hartwig, Matthew G.
AU - Ji, Zhicheng
AU - Nixon, Andrew B.
AU - Dou, Zhixun
AU - Rajagopal, Jayaraj
AU - Slavov, Nikolai
AU - Holmes, David
AU - Jurk, Diana
AU - Kirkland, James L.
AU - Lagnado, Anthony
AU - Tchkonia, Tamara
AU - Abraham, Kristin
AU - Dibattista, Amanda
AU - Fridell, Yih Woei
AU - Howcroft, T. Kevin
AU - Jhappan, Chamelli
AU - Montes, Viviana Perez
AU - Prabhudas, Mercy
AU - Resat, Haluk
AU - Taylor, Veronica
AU - Kumar, Manoj
AU - Suryadevara, Vidyani
AU - Cigarroa, Francisco
AU - Cohn, Rachel
AU - Cortes, Tiffany M.
AU - Courtois, Elise
AU - Chuang, Jeffrey
AU - Davé, Monica
AU - Domanskyi, Sergii
AU - Enninga, Elizabeth Ann Lieser
AU - Eryilmaz, Giray Naim
AU - Espinoza, Sara E.
AU - Gelfond, Jon
AU - Kirkland, James
AU - Kuchel, George A.
AU - Kuo, Chia Ling
AU - Lehman, Julia S.
AU - Aguayo-Mazzucato, Cristina
AU - Meves, Alexander
AU - Rani, Meenakshi
AU - Sanders, Shane
AU - Thibodeau, Asa
AU - Tullius, Stefan G.
AU - Ucar, Duygu
AU - White, Brian
AU - Wu, Qian
AU - Xu, Ming
AU - Yamaguchi, Seiji
AU - Assarzadegan, Naziheh
AU - Cho, Chun Seok
AU - Hwang, Irene
AU - Hwang, Yongha
AU - Xi, Jingyue
AU - Adeyi, Oyedele A.
AU - Aliferis, Constantin F.
AU - Bartolomucci, Alessandro
AU - Dong, Xiao
AU - DuFresne-To, Mickayla J.
AU - Ikramuddin, Sayeed
AU - Johnson, Steve G.
AU - Nelson, Andrew C.
AU - Niedernhofer, Laura J.
AU - Revelo, Xavier S.
AU - Trevilla-Garcia, Claudia
AU - Sedivy, John M.
AU - Thompson, Elizabeth L.
AU - Robbins, Paul D.
AU - Wang, Jinhua
AU - Aird, Katherine M.
AU - Alder, Jonathan K.
AU - Beaulieu, Delphine
AU - Bueno, Marta
AU - Calyeca, Jazmin
AU - Lin, Yiing
AU - Artyomov, Maxim N.
AU - Ballentine, Samuel J.
AU - Chheda, Milan G.
AU - DiPersio, John F.
AU - Fields, Ryan C.
AU - Fitzpatrick, James A.J.
AU - Fulton, Robert S.
AU - Imai, Shin ichiro
AU - Jain, Sanjay
AU - Kushnir, Vladimir M.
AU - Link, Daniel C.
AU - Ben Major, Michael
AU - Oh, Stephen T.
AU - Rettig, Michael P.
AU - Stewart, Shelia A.
AU - Veis, Deborah J.
AU - Vij, Kiran R.
AU - Wendl, Michael C.
AU - Wyczalkowski, Matthew A.
N1 - Publisher Copyright:
© 2022, Springer Nature America, Inc.
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.
UR - http://www.scopus.com/inward/record.url?scp=85144650665&partnerID=8YFLogxK
U2 - 10.1038/s43587-022-00326-5
DO - 10.1038/s43587-022-00326-5
M3 - Article
C2 - 36936385
AN - SCOPUS:85144650665
SN - 2662-8465
VL - 2
SP - 1090
EP - 1100
JO - Nature Aging
JF - Nature Aging
IS - 12
ER -