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A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex.


ABSTRACT: Single-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.

SUBMITTER: Yao Z 

PROVIDER: S-EPMC8494649 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex.

Yao Zizhen Z   Liu Hanqing H   Xie Fangming F   Fischer Stephan S   Adkins Ricky S RS   Aldridge Andrew I AI   Ament Seth A SA   Bartlett Anna A   Behrens M Margarita MM   Van den Berge Koen K   Bertagnolli Darren D   de Bézieux Hector Roux HR   Biancalani Tommaso T   Booeshaghi A Sina AS   Bravo Héctor Corrada HC   Casper Tamara T   Colantuoni Carlo C   Crabtree Jonathan J   Creasy Heather H   Crichton Kirsten K   Crow Megan M   Dee Nick N   Dougherty Elizabeth L EL   Doyle Wayne I WI   Dudoit Sandrine S   Fang Rongxin R   Felix Victor V   Fong Olivia O   Giglio Michelle M   Goldy Jeff J   Hawrylycz Mike M   Herb Brian R BR   Hertzano Ronna R   Hou Xiaomeng X   Hu Qiwen Q   Kancherla Jayaram J   Kroll Matthew M   Lathia Kanan K   Li Yang Eric YE   Lucero Jacinta D JD   Luo Chongyuan C   Mahurkar Anup A   McMillen Delissa D   Nadaf Naeem M NM   Nery Joseph R JR   Nguyen Thuc Nghi TN   Niu Sheng-Yong SY   Ntranos Vasilis V   Orvis Joshua J   Osteen Julia K JK   Pham Thanh T   Pinto-Duarte Antonio A   Poirion Olivier O   Preissl Sebastian S   Purdom Elizabeth E   Rimorin Christine C   Risso Davide D   Rivkin Angeline C AC   Smith Kimberly K   Street Kelly K   Sulc Josef J   Svensson Valentine V   Tieu Michael M   Torkelson Amy A   Tung Herman H   Vaishnav Eeshit Dhaval ED   Vanderburg Charles R CR   van Velthoven Cindy C   Wang Xinxin X   White Owen R OR   Huang Z Josh ZJ   Kharchenko Peter V PV   Pachter Lior L   Ngai John J   Regev Aviv A   Tasic Bosiljka B   Welch Joshua D JD   Gillis Jesse J   Macosko Evan Z EZ   Ren Bing B   Ecker Joseph R JR   Zeng Hongkui H   Mukamel Eran A EA  

Nature 20211006 7879


Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain<sup>1-3</sup>. 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 lo  ...[more]

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