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A Panoramic View of Cell Population Dynamics in Mammalian Aging.
Zhang, Zehao; Schaefer, Chloe; Jiang, Weirong; Lu, Ziyu; Lee, Jasper; Sziraki, Andras; Abdulraouf, Abdulraouf; Wick, Brittney; Haeussler, Maximilian; Li, Zhuoyan; Molla, Gesmira; Satija, Rahul; Zhou, Wei; Cao, Junyue.
Afiliação
  • Zhang Z; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Schaefer C; The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA.
  • Jiang W; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Lu Z; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Lee J; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Sziraki A; The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA.
  • Abdulraouf A; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Wick B; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Haeussler M; The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA.
  • Li Z; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Molla G; The Tri-Institutional M.D-Ph.D Program, New York, NY, USA.
  • Satija R; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Zhou W; UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Cao J; New York Genome Center, New York, NY, USA.
bioRxiv ; 2024 Mar 05.
Article em En | MEDLINE | ID: mdl-38496474
ABSTRACT
To elucidate the aging-associated cellular population dynamics throughout the body, here we present PanSci, a single-cell transcriptome atlas profiling over 20 million cells from 623 mouse tissue samples, encompassing a range of organs across different life stages, sexes, and genotypes. This comprehensive dataset allowed us to identify more than 3,000 unique cellular states and catalog over 200 distinct aging-associated cell populations experiencing significant depletion or expansion. Our panoramic analysis uncovered temporally structured, organ- and lineage-specific shifts of cellular dynamics during lifespan progression. Moreover, we investigated aging-associated alterations in immune cell populations, revealing both widespread shifts and organ-specific changes. We further explored the regulatory roles of the immune system on aging and pinpointed specific age-related cell population expansions that are lymphocyte-dependent. The breadth and depth of our 'cell-omics' methodology not only enhance our comprehension of cellular aging but also lay the groundwork for exploring the complex regulatory networks among varied cell types in the context of aging and aging-associated diseases.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos