| Literature DB >> 34616066 |
Zizhen Yao1, Hanqing Liu2, Fangming Xie3, Stephan Fischer4, Ricky S Adkins5, Andrew I Aldridge2, Seth A Ament5, Anna Bartlett2, M Margarita Behrens6, Koen Van den Berge7,8, Darren Bertagnolli1, Hector Roux de Bézieux9, Tommaso Biancalani10, A Sina Booeshaghi11, Héctor Corrada Bravo12, Tamara Casper1, Carlo Colantuoni13,14,15, Jonathan Crabtree5, Heather Creasy5, Kirsten Crichton1, Megan Crow4, Nick Dee1, Elizabeth L Dougherty10, Wayne I Doyle16, Sandrine Dudoit7, Rongxin Fang17, Victor Felix5, Olivia Fong1, Michelle Giglio5, Jeff Goldy1, Mike Hawrylycz1, Brian R Herb5, Ronna Hertzano5,18, Xiaomeng Hou19, Qiwen Hu20, Jayaram Kancherla12, Matthew Kroll1, Kanan Lathia1, Yang Eric Li21, Jacinta D Lucero6, Chongyuan Luo2,22,23, Anup Mahurkar5, Delissa McMillen1, Naeem M Nadaf10, Joseph R Nery2, Thuc Nghi Nguyen1, Sheng-Yong Niu2, Vasilis Ntranos24, Joshua Orvis5, Julia K Osteen6, Thanh Pham1, Antonio Pinto-Duarte6, Olivier Poirion19, Sebastian Preissl19, Elizabeth Purdom7, Christine Rimorin1, Davide Risso25, Angeline C Rivkin23, Kimberly Smith1, Kelly Street26, Josef Sulc1, Valentine Svensson11, Michael Tieu1, Amy Torkelson1, Herman Tung1, Eeshit Dhaval Vaishnav10, Charles R Vanderburg10, Cindy van Velthoven1, Xinxin Wang19,27, Owen R White5, Z Josh Huang28, Peter V Kharchenko20, Lior Pachter11, John Ngai29, Aviv Regev10,30, Bosiljka Tasic1, Joshua D Welch31, Jesse Gillis4, Evan Z Macosko10, Bing Ren19,21, Joseph R Ecker2,23, Hongkui Zeng32, Eran A Mukamel33.
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.Entities:
Mesh:
Year: 2021 PMID: 34616066 PMCID: PMC8494649 DOI: 10.1038/s41586-021-03500-8
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962