细胞结构
电池类型
神经科学
后脑
生物
计算生物学
表型
基因
转录组
脑图谱
基因表达
细胞
遗传学
中枢神经系统
作者
Jonah Langlieb,Nina Sachdev,Karol S. Balderrama,Naeem Nadaf,Mukund Raj,Evan Murray,James T. Webber,Charles Vanderburg,Vahid Gazestani,Daniel J. Tward,Christopher Mezias,Xu Li,Katelyn Flowers,Dylan Cable,Tabitha Norton,Partha P. Mitra,Fei Chen,Evan Z. Macosko
出处
期刊:Nature
[Nature Portfolio]
日期:2023-12-13
卷期号:624 (7991): 333-342
被引量:89
标识
DOI:10.1038/s41586-023-06818-7
摘要
Abstract The function of the mammalian brain relies upon the specification and spatial positioning of diversely specialized cell types. Yet, the molecular identities of the cell types and their positions within individual anatomical structures remain incompletely known. To construct a comprehensive atlas of cell types in each brain structure, we paired high-throughput single-nucleus RNA sequencing with Slide-seq 1,2 —a recently developed spatial transcriptomics method with near-cellular resolution—across the entire mouse brain. Integration of these datasets revealed the cell type composition of each neuroanatomical structure. Cell type diversity was found to be remarkably high in the midbrain, hindbrain and hypothalamus, with most clusters requiring a combination of at least three discrete gene expression markers to uniquely define them. Using these data, we developed a framework for genetically accessing each cell type, comprehensively characterized neuropeptide and neurotransmitter signalling, elucidated region-specific specializations in activity-regulated gene expression and ascertained the heritability enrichment of neurological and psychiatric phenotypes. These data, available as an online resource ( www.BrainCellData.org ), should find diverse applications across neuroscience, including the construction of new genetic tools and the prioritization of specific cell types and circuits in the study of brain diseases.
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