首页|How variable progenitor clones construct a largely invariant neocortex

How variable progenitor clones construct a largely invariant neocortex

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The neocortex contains a vast collection of diverse neurons organized into distinct layers.While nearly all neocortical neurons are generated by radial glial progenitors(RGPs),it remains largely unclear how a complex yet organized neocortex is constructed reliably and robustly.Here,we show that the division behavior and neuronal output of RGPs are highly constrained with patterned variabilities to support the reliable and robust construction of the mouse neocortex.The neurogenic process of RGPs can be well-approximated by a consistent Poisson-like process unfolding over time,producing deep to superficial layer neurons progressively.The exact neuronal outputs regarding layer occupation are variable;yet,this variability is constrained systematically to support all layer formation,largely reflecting the variable intermediate progenitor generation and RGP neurogenic entry and exit timing differences.Together,these results define the fundamental features of neocortical neurogenesis with a balanced reliability and variability for the construction of the complex neocortex.

neocortexradial glial progenitorintermediate progenitorneurogenesisclonal variabilitylayer formation

Zhongfu Shen、Jiajun Yang、Qiangqiang Zhang、Kuiyu Wang、Xiaohui Lv、Xiaolin Hu、Jian Ma、Song-Hai Shi

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New Cornerstone Science Laboratory,IDG/McGovern Institute for Brain Research,Tsinghua-Peking Center for Life Sciences,Beijing Frontier Research Center for Biological Structure,School of Life Sciences,Tsinghua University,Beijing 100084,China

Department of Computer Sciences,Tsinghua University,Beijing 100084,China

College of Life Sciences,Nankai University,Tianjin 300071,China

Chinese Institute for Brain Research,Beijing 102206,China

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STI2030-Major ProjectsNational Natural Science Foundation of ChinaBeijing Outstanding Young Scientist ProgramBeijing Municipal Science & Technology CommissionBeijing Municipal Science & Technology CommissionChinese Institute for Brain Research(Beijing)New Cornerstone Investigator Program

2021ZD020230032021002BJJWZYJH01201910003012Z221100003422011Z211100003321001

2024

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国家科学评论(英文版)

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ISSN:
年,卷(期):2024.11(1)
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