Cellular anatomy of the mouse primary motor cortex

Rodrigo Muñoz-Castañeda(Cold Spring Harbor Laboratory), Brian Zingg(University of Southern California), Katherine S. Matho(Cold Spring Harbor Laboratory), Xiaoyin Chen(Allen Institute for Brain Science), Quanxin Wang(Allen Institute for Brain Science), Nicholas N. Foster(University of Southern California), Anan Li(Suzhou Research Institute), Arun Narasimhan(Cold Spring Harbor Laboratory), Karla E. Hirokawa(Allen Institute for Brain Science), Bing‐Xing Huo(Cold Spring Harbor Laboratory), Samik Bannerjee(Cold Spring Harbor Laboratory), Laura Korobkova(University of Southern California), Chris Sin Park, Young-Gyun Park(Massachusetts Institute of Technology), Michael S. Bienkowski(University of Southern California), Uree Chon(Pennsylvania State University), Diek W. Wheeler(George Mason University), Xiangning Li(Cold Spring Harbor Laboratory), Yun Wang(Allen Institute for Brain Science), Maitham Naeemi(Allen Institute for Brain Science), Peng Xie(Southeast University), Lijuan Liu(Southeast University), Kathleen Kelly(Cold Spring Harbor Laboratory), Xu An(Duke University), Sarojini M. Attili(George Mason University), Ian Bowman(University of Southern California), Anastasiia Bludova(Cold Spring Harbor Laboratory), Ali Çetin(Allen Institute for Brain Science), Liya Ding(Southeast University), Rhonda Drewes(Cold Spring Harbor Laboratory), Florence D. D’Orazi(Allen Institute for Brain Science), Corey Elowsky(Cold Spring Harbor Laboratory), Stephan Fischer(Cold Spring Harbor Laboratory), William Galbavy(Cold Spring Harbor Laboratory), Lei Gao(University of Southern California), Jesse Gillis(Cold Spring Harbor Laboratory), Peter A. Groblewski(Allen Institute for Brain Science), Lin Gou(University of Southern California), Joel D. Hahn(University of Southern California), Joshua Hatfield(Duke University), Houri Hintiryan(University of Southern California), Junxiang Huang(University of Southern California), Hideki Kondo(Cold Spring Harbor Laboratory), Xiuli Kuang(Wenzhou Medical University), Philip Lesnar(Allen Institute for Brain Science), Xu Li(Cold Spring Harbor Laboratory), Yaoyao Li(Wenzhou Medical University), Mengkuan Lin(Cold Spring Harbor Laboratory), D.C.W. Lo(University of Southern California), Judith Mizrachi(Cold Spring Harbor Laboratory), Stephanie Mok(Allen Institute for Brain Science), Philip R. Nicovich(Allen Institute for Brain Science), Ramesh Palaniswamy(Cold Spring Harbor Laboratory), Jason Palmer(Cold Spring Harbor Laboratory), Xiaoli Qi(Cold Spring Harbor Laboratory), Elise Shen(Allen Institute for Brain Science), Yu-Chi Sun(Cold Spring Harbor Laboratory), Huizhong W. Tao(University of Southern California), Wayne Wakemen(Allen Institute for Brain Science), Yimin Wang(Allen Institute for Brain Science), Shenqin Yao(Allen Institute for Brain Science), Jing Yuan(Suzhou Research Institute), Huiqing Zhan(Cold Spring Harbor Laboratory), Muye Zhu(University of Southern California), Lydia Ng(Allen Institute for Brain Science), Li I. Zhang(University of Southern California), Byung Kook Lim(University of San Diego), Michael Hawrylycz(Allen Institute for Brain Science), Hui Gong(Suzhou Research Institute), James C. Gee(University of Pennsylvania), Yongsoo Kim(Pennsylvania State University), Kwanghun Chung(Massachusetts Institute of Technology), X. William Yang, Hanchuan Peng(Southeast University), Qingming Luo(Suzhou Research Institute), Partha P. Mitra(Cold Spring Harbor Laboratory), Anthony M. Zador(Cold Spring Harbor Laboratory), Hongkui Zeng(Allen Institute for Brain Science), Giorgio A. Ascoli(George Mason University), Z. Josh Huang(Duke University), Pavel Osten(Cold Spring Harbor Laboratory), Julie A. Harris(Allen Institute), Hong‐Wei Dong(University of Southern California)
Nature
October 6, 2021
Cited by 279Open Access
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Abstract

Abstract An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted 1 . Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and viral labelling, barcoded anatomy resolved by sequencing, single-neuron reconstruction, whole-brain imaging and cloud-based neuroinformatics tools, we delineated the MOp-ul in 3D and refined its sublaminar organization. We defined around two dozen projection neuron types in the MOp-ul and derived an input–output wiring diagram, which will facilitate future analyses of motor control circuitry across molecular, cellular and system levels. This work provides a roadmap towards a comprehensive cellular-resolution description of mammalian brain architecture.


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