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Morphological diversity of single neurons in molecularly defined cell types.


ABSTRACT: Dendritic and axonal morphology reflects the input and output of neurons and is a defining feature of neuronal types1,2, yet our knowledge of its diversity remains limited. Here, to systematically examine complete single-neuron morphologies on a brain-wide scale, we established a pipeline encompassing sparse labelling, whole-brain imaging, reconstruction, registration and analysis. We fully reconstructed 1,741 neurons from cortex, claustrum, thalamus, striatum and other brain regions in mice. We identified 11 major projection neuron types with distinct morphological features and corresponding transcriptomic identities. Extensive projectional diversity was found within each of these major types, on the basis of which some types were clustered into more refined subtypes. This diversity follows a set of generalizable principles that govern long-range axonal projections at different levels, including molecular correspondence, divergent or convergent projection, axon termination pattern, regional specificity, topography, and individual cell variability. Although clear concordance with transcriptomic profiles is evident at the level of major projection type, fine-grained morphological diversity often does not readily correlate with transcriptomic subtypes derived from unsupervised clustering, highlighting the need for single-cell cross-modality studies. Overall, our study demonstrates the crucial need for quantitative description of complete single-cell anatomy in cell-type classification, as single-cell morphological diversity reveals a plethora of ways in which different cell types and their individual members may contribute to the configuration and function of their respective circuits.

SUBMITTER: Peng H 

PROVIDER: S-EPMC8494643 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Morphological diversity of single neurons in molecularly defined cell types.

Peng Hanchuan H   Xie Peng P   Liu Lijuan L   Kuang Xiuli X   Wang Yimin Y   Qu Lei L   Gong Hui H   Jiang Shengdian S   Li Anan A   Ruan Zongcai Z   Ding Liya L   Yao Zizhen Z   Chen Chao C   Chen Mengya M   Daigle Tanya L TL   Dalley Rachel R   Ding Zhangcan Z   Duan Yanjun Y   Feiner Aaron A   He Ping P   Hill Chris C   Hirokawa Karla E KE   Hong Guodong G   Huang Lei L   Kebede Sara S   Kuo Hsien-Chi HC   Larsen Rachael R   Lesnar Phil P   Li Longfei L   Li Qi Q   Li Xiangning X   Li Yaoyao Y   Li Yuanyuan Y   Liu An A   Lu Donghuan D   Mok Stephanie S   Ng Lydia L   Nguyen Thuc Nghi TN   Ouyang Qiang Q   Pan Jintao J   Shen Elise E   Song Yuanyuan Y   Sunkin Susan M SM   Tasic Bosiljka B   Veldman Matthew B MB   Wakeman Wayne W   Wan Wan W   Wang Peng P   Wang Quanxin Q   Wang Tao T   Wang Yaping Y   Xiong Feng F   Xiong Wei W   Xu Wenjie W   Ye Min M   Yin Lulu L   Yu Yang Y   Yuan Jia J   Yuan Jing J   Yun Zhixi Z   Zeng Shaoqun S   Zhang Shichen S   Zhao Sujun S   Zhao Zijun Z   Zhou Zhi Z   Huang Z Josh ZJ   Esposito Luke L   Hawrylycz Michael J MJ   Sorensen Staci A SA   Yang X William XW   Zheng Yefeng Y   Gu Zhongze Z   Xie Wei W   Koch Christof C   Luo Qingming Q   Harris Julie A JA   Wang Yun Y   Zeng Hongkui H  

Nature 20211006 7879


Dendritic and axonal morphology reflects the input and output of neurons and is a defining feature of neuronal types<sup>1,2</sup>, yet our knowledge of its diversity remains limited. Here, to systematically examine complete single-neuron morphologies on a brain-wide scale, we established a pipeline encompassing sparse labelling, whole-brain imaging, reconstruction, registration and analysis. We fully reconstructed 1,741 neurons from cortex, claustrum, thalamus, striatum and other brain regions  ...[more]

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