The cell type composition of the adult mouse brain revealed by single cell and spatial genomics

Jonah Langlieb(Broad Institute), Nina Sachdev(Broad Institute), Karol S. Balderrama(Broad Institute), Naeem Nadaf(Broad Institute), Mukund Raj(Broad Institute), Evan Murray(Broad Institute), James T. Webber(Broad Institute), Charles Vanderburg(Broad Institute), Vahid Gazestani(Broad Institute), Daniel J. Tward(University of California, Los Angeles), Christopher Mezias(Cold Spring Harbor Laboratory), Xu Li(Cold Spring Harbor Laboratory), Dylan Cable(Broad Institute), Tabitha Norton(Broad Institute), Partha P. Mitra(Cold Spring Harbor Laboratory), Fei Chen(Broad Institute), Evan Z. Macosko(Broad Institute)
bioRxiv (Cold Spring Harbor Laboratory)
March 8, 2023
Cited by 47Open Access
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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-seq with Slide-seq-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 signaling, 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 (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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