作者
Rodrigo Muñoz-Castañeda,Brian Zingg,Katherine S. Matho,Quanxin Wang,Xiaoyin Chen,Nicholas N. Foster,Arun Narasimhan,Anan Li,Karla E. Hirokawa,Bing‐Xing Huo,Samik Bannerjee,Laura Korobkova,Chris Sin Park,Young-Gyun Park,Michael S. Bienkowski,Uree Chon,Diek W. Wheeler,Xiangning Li,Yun Wang,Kathleen Kelly,Xu An,Sarojini M. Attili,Ian Bowman,Anastasiia Bludova,Ali Çetin,Liya Ding,Rhonda Drewes,Florence D. D’Orazi,Corey Elowsky,Stephan Fischer,William Galbavy,Lei Gao,Jesse Gillis,Peter A. Groblewski,Lin Gou,Joel D. Hahn,Joshua Hatfield,Houri Hintiryan,Jason H. Huang,Hideki Kondo,Xiuli Kuang,Philip Lesnar,Xu Li,Yaoyao Li,Meng-Kuan Lin,Lijuan Liu,D.C.W. Lo,Judith Mizrachi,Stephanie Mok,Maitham Naeemi,Philip R. Nicovich,Ramesh Palaniswamy,Jason Palmer,Xiaoli Qi,Elise Shen,Yu-Chi Sun,Huizhong W. Tao,Wayne Wakemen,Yimin Wang,Peng Xie,Shenqin Yao,Jin Yuan,Muye Zhu,Lydia Ng,Li I. Zhang,Byung Kook Lim,Michael Hawrylycz,Hui Gong,James C. Gee,Yongsoo Kim,Hanchuan Peng,Kwanghun Chuang,X. William Yang,Qingming Luo,Partha P. Mitra,Anthony M. Zador,Hongkui Zeng,Giorgio A. Ascoli,Z. Josh Huang,Pavel Osten,Julie A. Harris,Hong‐Wei Dong
摘要
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.