Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
UCLA Brain Research and Artificial Intelligence Nexus, Department of Neurobiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Nature. 2021 Oct;598(7879):159-166. doi: 10.1038/s41586-021-03970-w. Epub 2021 Oct 6.
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. 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.
理解大脑功能的重要步骤是建立一个具有细胞分辨率的结构框架，在此基础上可以整合和解释跨越分子、细胞、回路和系统的多尺度数据集。在这里，作为合作的大脑倡议细胞普查网络 (BICCN) 的一部分，我们对一个范例脑结构，即小鼠初级运动皮层上肢区 (MOp-ul)，进行了基于细胞类型的全面解剖描述。使用遗传和病毒标记、通过测序解析的条形码解剖、单细胞重建、全脑成像和基于云的神经信息学工具，我们对 MOp-ul 进行了 3D 描绘，并细化了其亚层组织。我们在 MOp-ul 中定义了大约二十几种投射神经元类型，并得出了一个输入-输出接线图，这将有助于未来在分子、细胞和系统水平上对运动控制回路进行分析。这项工作为哺乳动物大脑结构的全面细胞分辨率描述提供了路线图。
