 Morphological diversity of single neurons in molecularly defined cell typesHanchuan Peng (),
Peng Xie,
Lijuan Liu,
Xiuli Kuang,
Yimin Wang,
Lei Qu,
Hui Gong,
Shengdian Jiang,
Anan Li,
Zongcai Ruan,
Liya Ding,
Zizhen Yao,
Chao Chen,
Mengya Chen,
Tanya L. Daigle,
Rachel Dalley,
Zhangcan Ding,
Yanjun Duan,
Aaron Feiner,
Ping He,
Chris Hill,
Karla E. Hirokawa,
Guodong Hong,
Lei Huang,
Sara Kebede,
Hsien-Chi Kuo,
Rachael Larsen,
Phil Lesnar,
Longfei Li,
Qi Li,
Xiangning Li,
Yaoyao Li,
Yuanyuan Li,
An Liu,
Donghuan Lu,
Stephanie Mok,
Lydia Ng,
Thuc Nghi Nguyen,
Qiang Ouyang,
Jintao Pan,
Elise Shen,
Yuanyuan Song,
Susan M. Sunkin,
Bosiljka Tasic,
Matthew B. Veldman,
Wayne Wakeman,
Wan Wan,
Peng Wang,
Quanxin Wang,
Tao Wang,
Yaping Wang,
Feng Xiong,
Wei Xiong,
Wenjie Xu,
Min Ye,
Lulu Yin,
Yang Yu,
Jia Yuan,
Jing Yuan,
Zhixi Yun,
Shaoqun Zeng,
Shichen Zhang,
Sujun Zhao,
Zijun Zhao,
Zhi Zhou,
Z. Josh Huang,
Luke Esposito,
Michael J. Hawrylycz,
Staci A. Sorensen,
X. William Yang,
Yefeng Zheng,
Zhongze Gu,
Wei Xie,
Christof Koch,
Qingming Luo,
Julie A. Harris,
Yun Wang and
Hongkui Zeng ()
Nature, 2021, vol. 598, issue 7879, 174-181 Abstract: 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. Date: 2021 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:598:y:2021:i:7879:d:10.1038_s41586-021-03941-1 Ordering information: This journal article can be ordered from DOI: 10.1038/s41586-021-03941-1 Access Statistics for this article Nature is currently edited by Magdalena Skipper More articles in Nature from Nature |
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