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Morphological diversity of single neurons in molecularly defined cell types

Authors :
Anan Li
Elise Shen
Lijuan Liu
Wan Wan
Hui Gong
Yanjun Duan
Rachel A. Dalley
Sujun Zhao
Luke Esposito
Zhixi Yun
Shaoqun Zeng
An Liu
Susan M. Sunkin
Zhi Zhou
Tanya L. Daigle
Jintao Pan
Liya Ding
Yaoyao Li
Chris Hill
Yimin Wang
Yefeng Zheng
Qingming Luo
Phil Lesnar
Karla E. Hirokawa
Zijun Zhao
Christof Koch
Qi Li
Ping He
Donghuan Lu
Staci A. Sorensen
Longfei Li
Zhongze Gu
Xiangning Li
Zhangcan Ding
Lei Qu
Jia Yuan
Hsien-Chi Kuo
Aaron Feiner
Stephanie Mok
Julie A. Harris
Jing Yuan
Yang Yu
Qiang Ouyang
Z. Josh Huang
X. William Yang
Guodong Hong
Thuc Nghi Nguyen
Rachael Larsen
Michael Hawrylycz
Wenjie Xu
Peng Wang
Chao Chen
Wei Xiong
Hongkui Zeng
Mengya Chen
Zongcai Ruan
Feng Xiong
Shichen Zhang
Lydia Ng
Min Ye
Wayne Wakeman
Peng Xie
Yaping Wang
Quanxin Wang
Yun Wang
Sara Kebede
Bosiljka Tasic
Lulu Yin
Yuanyuan Song
Tao Wang
Lei Huang
Wei Xie
Zizhen Yao
Matthew B. Veldman
Yuanyuan Li
Xiuli Kuang
Shengdian Jiang
Hanchuan Peng
Source :
Nature
Publication Year :
2020

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.<br />Sparse labelling and whole-brain imaging are used to reconstruct and classify brain-wide complete morphologies of 1,741 individual neurons in the mouse brain, revealing a dependence on both brain region and transcriptomic profile.

Details

ISSN :
14764687
Volume :
598
Issue :
7879
Database :
OpenAIRE
Journal :
Nature
Accession number :
edsair.doi.dedup.....b6da1264091c8c6680055d491544077a