作者
Principal manuscript editors, Analysis coordination, Integrated data analysis Armand Ethan 42 Yao Zizhen 5, ATAC-seq data generation and processing Fang Rongxin 45 Hou Xiaomeng 10 Lucero Jacinta D. 18 Osteen Julia K. 18 Pinto-Duarte Antonio 18 Poirion Olivier 10 Preissl Sebastian 10 Wang Xinxin 10 97 97, Epi-retro-seq data generation and processing Dominguez Bertha 53 Ito-Cole Tony 1 Jacobs Matthew 1 Jin Xin 54 99 100 99 100 Lee Cheng-Ta 53 Lee Kuo-Fen 53 Miyazaki Paula Assakura 1 Pang Yan 1 Rashid Mohammad 1 Smith Jared B. 54 Vu Minh 1 Williams Elora 54, OLST/STPT and other data generation Narasimhan Arun 6 Palaniswamy Ramesh 6, Morphology, connectivity and imaging analysis Banerjee Samik 6 Ding Liya 70 Huilgol Dhananjay 6 7 Huo Bingxing 6 Kuo Hsien-Chi 5 Laturnus Sophie 36 Li Xu 6 Mitra Partha P. 6 Mizrachi Judith 76 Wang Quanxin 5 Xie Peng 70 Xiong Feng 70 Yu Yang 5, Spatially resolved single-cell transcriptomics (MERFISH) Eichhorn Stephen W. 15, Transgenic tools Allen Shona 8 Hockemeyer Dirk 8 65 83 Lee Angus Y. 84 Veldman Matthew B. 85 86, Brain Image Library (BIL) archive Hood Greg 31, DANDI archive Dichter Benjamin 90 Grauer Michael 91 Helba Brian 91, Brain Cell Data Center (BCDC) Bandrowski Anita 28 Barkas Nikolaos 92 Carlin Benjamin 92 D’Orazi Florence D. 5 Degatano Kylee 92 Gillespie Thomas H. 28 Khajouei Farzaneh 32 Konwar Kishori 32 Thompson Carol 5, Project management Kelly Kathleen 6 Mok Stephanie 5 Sunkin Susan 5
发表日期
2021/10/7
期刊
Nature
卷号
598
期号
7879
页码范围
86-102
出版商
Nature Publishing Group UK
简介
Here we report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties and cellular resolution input–output mapping, integrated through cross-modal computational analysis. Our results advance the collective knowledge and understanding of brain cell-type organization, , , –. First, our study reveals a unified molecular genetic landscape of cortical cell types that integrates their transcriptome, open chromatin and DNA methylation maps. Second, cross-species analysis achieves a consensus taxonomy of transcriptomic types and their hierarchical organization that is conserved from …
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Principal manuscript editors, Analysis coordination… - Nature, 2021