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A global view of aging and Alzheimer's pathogenesis-associated cell population dynamics and molecular signatures in human and mouse brains.
Sziraki, Andras; Lu, Ziyu; Lee, Jasper; Banyai, Gabor; Anderson, Sonya; Abdulraouf, Abdulraouf; Metzner, Eli; Liao, Andrew; Banfelder, Jason; Epstein, Alexander; Schaefer, Chloe; Xu, Zihan; Zhang, Zehao; Gan, Li; Nelson, Peter T; Zhou, Wei; Cao, Junyue.
Affiliation
  • Sziraki A; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Lu Z; The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA.
  • Lee J; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Banyai G; The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA.
  • Anderson S; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Abdulraouf A; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Metzner E; Department of Pathology and Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
  • Liao A; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Banfelder J; The Tri-Institutional MD-PhD Program, New York, NY, USA.
  • Epstein A; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Schaefer C; The Tri-Institutional PhD Program in Computational Biology and Medicine, New York, NY, USA.
  • Xu Z; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Zhang Z; The Tri-Institutional MD-PhD Program, New York, NY, USA.
  • Gan L; High Performance Computing Resource Center, The Rockefeller University, New York, NY, USA.
  • Nelson PT; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
  • Zhou W; The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA.
  • Cao J; Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
Nat Genet ; 55(12): 2104-2116, 2023 Dec.
Article in En | MEDLINE | ID: mdl-38036784
ABSTRACT
Conventional methods fall short in unraveling the dynamics of rare cell types related to aging and diseases. Here we introduce EasySci, an advanced single-cell combinatorial indexing strategy for exploring age-dependent cellular dynamics in the mammalian brain. Profiling approximately 1.5 million single-cell transcriptomes and 400,000 chromatin accessibility profiles across diverse mouse brains, we identified over 300 cell subtypes, uncovering their molecular characteristics and spatial locations. This comprehensive view elucidates rare cell types expanded or depleted upon aging. We also investigated cell-type-specific responses to genetic alterations linked to Alzheimer's disease, identifying associated rare cell types. Additionally, by profiling 118,240 human brain single-cell transcriptomes, we discerned cell- and region-specific transcriptomic changes tied to Alzheimer's pathogenesis. In conclusion, this research offers a valuable resource for probing cell-type-specific dynamics in both normal and pathological aging.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease Limits: Animals / Humans Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2023 Document type: Article Affiliation country: Estados Unidos
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease Limits: Animals / Humans Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2023 Document type: Article Affiliation country: Estados Unidos