A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex
Name
s41586-021-03500-8.pdf
Description
Published version
Size
13.09 MB
Format
Adobe PDF
Checksum (MD5)
386f0e8fb91edf20cf653fa87956264e
Author(s)
Regev, Aviv
Date Issued
2021
Journal
Nature
Publisher
Springer Science and Business Media LLC
Citation
Regev, Aviv. 2021. "A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex." Nature, 598 (7879).
Version
Final published version
Abstract
AbstractSingle-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain1–3. With the proliferation of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of cell-type organization. Here we generated transcriptomes and epigenomes from more than 500,000 individual cells in the mouse primary motor cortex, a structure that has an evolutionarily conserved role in locomotion. We developed computational and statistical methods to integrate multimodal data and quantitatively validate cell-type reproducibility. The resulting reference atlas—containing over 56 neuronal cell types that are highly replicable across analysis methods, sequencing technologies and modalities—is a comprehensive molecular and genomic account of the diverse neuronal and non-neuronal cell types in the mouse primary motor cortex. The atlas includes a population of excitatory neurons that resemble pyramidal cells in layer 4 in other cortical regions4. We further discovered thousands of concordant marker genes and gene regulatory elements for these cell types. Our results highlight the complex molecular regulation of cell types in the brain and will directly enable the design of reagents to target specific cell types in the mouse primary motor cortex for functional analysis.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/S41586-021-03500-8
