TY - JOUR
T1 - A global view of aging and Alzheimer’s pathogenesis-associated cell population dynamics and molecular signatures in human and mouse brains
AU - Sziraki, Andras
AU - Lu, Ziyu
AU - Lee, Jasper
AU - Banyai, Gabor
AU - Anderson, Sonya
AU - Abdulraouf, Abdulraouf
AU - Metzner, Eli
AU - Liao, Andrew
AU - Banfelder, Jason
AU - Epstein, Alexander
AU - Schaefer, Chloe
AU - Xu, Zihan
AU - Zhang, Zehao
AU - Gan, Li
AU - Nelson, Peter T.
AU - Zhou, Wei
AU - Cao, Junyue
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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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U2 - 10.1038/s41588-023-01572-y
DO - 10.1038/s41588-023-01572-y
M3 - Article
C2 - 38036784
AN - SCOPUS:85178194074
SN - 1061-4036
VL - 55
SP - 2104
EP - 2116
JO - Nature Genetics
JF - Nature Genetics
IS - 12
ER -