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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

  • Andras Sziraki
  • , Ziyu Lu
  • , Jasper Lee
  • , Gabor Banyai
  • , Sonya Anderson
  • , Abdulraouf Abdulraouf
  • , Eli Metzner
  • , Andrew Liao
  • , Jason Banfelder
  • , Alexander Epstein
  • , Chloe Schaefer
  • , Zihan Xu
  • , Zehao Zhang
  • , Li Gan
  • , Peter T. Nelson
  • , Wei Zhou
  • , Junyue Cao

Producción científica: Articlerevisión exhaustiva

56 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Páginas (desde-hasta)2104-2116
Número de páginas13
PublicaciónNature Genetics
Volumen55
N.º12
DOI
EstadoPublished - dic 2023

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s).

Financiación

We thank all members of the Cao lab for helpful discussions and feedback. We thank J. Shendure (University of Washington) for insightful feedback on this work. We also thank members of the Rockefeller University Genomics Resource Center (SCR_020986), High-Performance Computing Resource Center and Comparative Bioscience Center for their exceptional assistance with library sequencing and animal maintenance. This work was funded by grants from the National Institutes of Health (DP2HG012522, R01AG076932 and RM1HG011014 to J.C.; P30AG072946 and P01AG078116 to P.T.N.; and R01AG072758 to L.G.) and the Sagol Network GerOmic Award (J.C.). This work is partly supported by the Pershing Square Foundation, Bill Ackman and Neri Oxman. We thank all members of the Cao lab for helpful discussions and feedback. We thank J. Shendure (University of Washington) for insightful feedback on this work. We also thank members of the Rockefeller University Genomics Resource Center (SCR_020986), High-Performance Computing Resource Center and Comparative Bioscience Center for their exceptional assistance with library sequencing and animal maintenance. This work was funded by grants from the National Institutes of Health (DP2HG012522, R01AG076932 and RM1HG011014 to J.C.; P30AG072946 and P01AG078116 to P.T.N.; and R01AG072758 to L.G.) and the Sagol Network GerOmic Award (J.C.). This work is partly supported by the Pershing Square Foundation, Bill Ackman and Neri Oxman.

FinanciadoresNúmero del financiador
Bill Ackman and Neri Oxman
Comparative Bioscience Center
High-Performance Computing Resource Center
National Institutes of Health (NIH)R01AG072758, RM1HG011014, DP2HG012522, P01AG078116, R01AG076932, P30AG072946
National Institutes of Health (NIH)
The George Washington University
Pershing Square Foundation
Rockefeller UniversitySCR_020986
Rockefeller University

    ODS de las Naciones Unidas

    Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

    1. Good health and well being
      Good health and well being

    ASJC Scopus subject areas

    • Genetics

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