将神经元系谱与线路特异性联系起来

IF 4 3区 生物学 Q1 DEVELOPMENTAL BIOLOGY
Hongjie Li, S Andrew Shuster, Jiefu Li, Liqun Luo
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引用次数: 0

摘要

大脑功能需要在发育过程中精确组装神经回路。功能回路的建立涉及多个协调步骤,从神经细胞命运的规范到突触前后伙伴的适当匹配。神经元系谱和出生时间如何影响布线特异性仍是一个未决问题。最近的研究结果表明,在不同的神经元回路中,系谱、出生时间和布线特异性之间的关系各不相同。在这篇综述中,我们总结了目前我们对果蝇和小鼠几个特定系统中神经元系谱和出生时间与布线特异性之间的细胞、分子和发育机制的理解,并回顾了探索这些机制所采用的不同方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Linking neuronal lineage and wiring specificity.

Linking neuronal lineage and wiring specificity.

Linking neuronal lineage and wiring specificity.

Linking neuronal lineage and wiring specificity.

Brain function requires precise neural circuit assembly during development. Establishing a functional circuit involves multiple coordinated steps ranging from neural cell fate specification to proper matching between pre- and post-synaptic partners. How neuronal lineage and birth timing influence wiring specificity remains an open question. Recent findings suggest that the relationships between lineage, birth timing, and wiring specificity vary in different neuronal circuits. In this review, we summarize our current understanding of the cellular, molecular, and developmental mechanisms linking neuronal lineage and birth timing to wiring specificity in a few specific systems in Drosophila and mice, and review different methods employed to explore these mechanisms.

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来源期刊
Neural Development
Neural Development 生物-发育生物学
CiteScore
6.60
自引率
0.00%
发文量
11
审稿时长
>12 weeks
期刊介绍: Neural Development is a peer-reviewed open access, online journal, which features studies that use molecular, cellular, physiological or behavioral methods to provide novel insights into the mechanisms that underlie the formation of the nervous system. Neural Development aims to discover how the nervous system arises and acquires the abilities to sense the world and control adaptive motor output. The field includes analysis of how progenitor cells form a nervous system during embryogenesis, and how the initially formed neural circuits are shaped by experience during early postnatal life. Some studies use well-established, genetically accessible model systems, but valuable insights are also obtained from less traditional models that provide behavioral or evolutionary insights.
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