生物
祖细胞
祖细胞
电池类型
转录组
染色质
表观遗传学
神经干细胞
细胞分化
干细胞
单细胞分析
细胞
计算生物学
细胞生物学
神经科学
遗传学
基因
基因表达
作者
Ziyu Lu,Melissa Zhang,Jasper Lee,Andras Sziraki,Sonya Anderson,Zehao Zhang,Zihan Xu,W. Jiang,Shaoyu Ge,Peter T. Nelson,Wei Zhou,Junyue Cao
出处
期刊:Cell
[Elsevier]
日期:2023-09-01
卷期号:186 (20): 4345-4364.e24
被引量:1
标识
DOI:10.1016/j.cell.2023.08.042
摘要
Progenitor cells are critical in preserving organismal homeostasis, yet their diversity and dynamics in the aged brain remain underexplored. We introduced TrackerSci, a single-cell genomic method that combines newborn cell labeling and combinatorial indexing to characterize the transcriptome and chromatin landscape of proliferating progenitor cells in vivo. Using TrackerSci, we investigated the dynamics of newborn cells in mouse brains across various ages and in a mouse model of Alzheimer’s disease. Our dataset revealed diverse progenitor cell types in the brain and their epigenetic signatures. We further quantified aging-associated shifts in cell-type-specific proliferation and differentiation and deciphered the associated molecular programs. Extending our study to the progenitor cells in the aged human brain, we identified conserved genetic signatures across species and pinpointed region-specific cellular dynamics, such as the reduced oligodendrogenesis in the cerebellum. We anticipate that TrackerSci will be broadly applicable to unveil cell-type-specific temporal dynamics in diverse systems.
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