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Brain-wide single neuron reconstruction reveals morphological diversity in molecularly defined striatal, thalamic, cortical and claustral neuron types

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

Abstract

Ever since the seminal findings of Ramon y Cajal, dendritic and axonal morphology has been recognized as a defining feature of neuronal types. Yet our knowledge concerning the diversity of neuronal morphologies, in particular distal axonal projection patterns, is extremely limited. To systematically obtain single neuron full morphology on a brain-wide scale, we established a platform with five major components: sparse labeling, whole-brain imaging, reconstruction, registration, and classification. We achieved sparse, robust and consistent fluorescent labeling of a wide range of neuronal types by combining transgenic or viral Cre delivery with novel transgenic reporter lines. We acquired high-resolution whole-brain fluorescent images from a large set of sparsely labeled brains using fluorescence micro-optical sectioning tomography (fMOST). We developed a set of software tools for efficient large-volume image data processing, registration to the Allen Mouse Brain Common Coordinate Framework (CCF), and computer-assisted morphological reconstruction. We reconstructed and analyzed the complete morphologies of 1,708 neurons from the striatum, thalamus, cortex and claustrum. Finally, we classified these cells into multiple morphological and projection types and identified a set of region-specific organizational rules of long-range axonal projections at the single cell level. Specifically, different neuron types from different regions follow highly distinct rules in convergent or divergent projection, feedforward or feedback axon termination patterns, and between-cell homogeneity or heterogeneity. Major molecularly defined classes or types of neurons have correspondingly distinct morphological and projection patterns, however, we also identify further remarkably extensive morphological and projection diversity at more fine-grained levels within the major types that cannot presently be accounted for by preexisting transcriptomic subtypes. These insights reinforce the importance of full morphological characterization of brain cell types and suggest a plethora of ways different cell types and individual neurons may contribute to the function of their respective circuits.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........5c8bc31d1722b04161041575c882b314
Full Text :
https://doi.org/10.21203/rs.3.rs-84255/v1