A global view of aging and Alzheimer's pathogenesis-associated cell population dynamics and molecular signatures in human and mouse brains.

A global view of aging and Alzheimer's pathogenesis-associated cell population dynamics and molecular signatures in human and mouse brains.
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DOI:
10.1038/s41588-023-01572-y
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发表时间:
2023-12
期刊:
影响因子:
30.8
通讯作者:
Cao, Junyue
Cao, Junyue
中科院分区:
生物学1区
文献类型:
--
作者:
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

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传统方法无法揭示与衰老和疾病相关的稀有细胞类型的动态。在这里,我们介绍 EasySci,这是一种先进的单细胞组合索引策略,用于探索哺乳动物大脑中年龄依赖性细胞动力学。我们对不同小鼠大脑中约 150 万个单细胞转录组和 400,000 个染色质可及性图谱进行了分析,鉴定了 300 多种细胞亚型,揭示了它们的分子特征和空间位置。这种全面的观点阐明了随着衰老而扩增或耗尽的稀有细胞类型。我们还研究了与阿尔茨海默病相关的基因改变的细胞类型特异性反应,识别了相关的稀有细胞类型。此外,通过分析 118,240 个人脑单细胞转录组,我们发现了与阿尔茨海默病发病机制相关的细胞和区域特异性转录组变化。总之,这项研究为探索正常和病理衰老中细胞类型特异性动态提供了宝贵的资源。使用 EasySci 生成的单细胞转录组和单细胞染色质可及性图谱提供了人类和小鼠大脑中与衰老和阿尔茨海默病发病机制相关的细胞群动态的全局视图。
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. Single-cell transcriptomes and single-cell chromatin accessibility profiles generated using EasySci provide a global view of aging and Alzheimer’s pathogenesis-associated cell population dynamics in human and mouse brains.
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