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), Quanxin Wang(Allen Institute for Brain Science), Xiaoyin Chen(Cold Spring Harbor Laboratory), Nicholas N. Foster(University of Southern California), Arun Narasimhan(Cold Spring Harbor Laboratory), Anan Li(Suzhou Research Institute), 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(Neurobehavioral Systems), 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), Kathleen Kelly(Cold Spring Harbor Laboratory), Xu An(Cold Spring Harbor Laboratory), 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(Cold Spring Harbor Laboratory), Houri Hintiryan(University of Southern California), Jason H. 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), Lijuan Liu(Southeast University), D.C.W. Lo(University of Southern California), Judith Mizrachi(Cold Spring Harbor Laboratory), Stephanie Mok(Allen Institute for Brain Science), Maitham Naeemi(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), Peng Xie(Southeast University), Shenqin Yao(Allen Institute for Brain Science), Jin Yuan(Suzhou Research Institute), 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 California 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), Hanchuan Peng(Southeast University), Kwanghun Chuang(Massachusetts Institute of Technology), X. William Yang(Neurobehavioral Systems), 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 for Brain Science), Hong‐Wei Dong(University of Southern California)
bioRxiv (Cold Spring Harbor Laboratory)
October 2, 2020
Cited by 46Open Access
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Abstract

Abstract An essential step toward understanding brain function is to establish a cellular-resolution structural framework upon which multi-scale and multi-modal information spanning molecules, cells, circuits and systems can be integrated and interpreted. Here, through a collaborative effort from the Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based description of one brain structure - the primary motor cortex upper limb area (MOp-ul) of the mouse. Applying state-of-the-art labeling, imaging, computational, and neuroinformatics tools, we delineated the MOp-ul within the Mouse Brain 3D Common Coordinate Framework (CCF). We defined over two dozen MOp-ul projection neuron (PN) types by their anterograde targets; the spatial distribution of their somata defines 11 cortical sublayers, a significant refinement of the classic notion of cortical laminar organization. We further combine multiple complementary tracing methods (classic tract tracing, cell type-based anterograde, retrograde, and transsynaptic viral tracing, high-throughput BARseq, and complete single cell reconstruction) to systematically chart cell type-based MOp input-output streams. As PNs link distant brain regions at synapses as well as host cellular gene expression, our construction of a PN type resolution MOp-ul wiring diagram will facilitate an integrated analysis of motor control circuitry across the molecular, cellular, and systems levels. This work further provides a roadmap towards a cellular resolution description of mammalian brain architecture.


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