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前沿技术揭示了神经系统中神经发生的时间调节。

Cutting edge technologies expose the temporal regulation of neurogenesis in the nervous system.

机构信息

Mathematical Neuroscience Unit, Institute for Frontier Science Initiative,Laboratory of Developmental Neurobiology, Graduate School of Medical Sciences, Kanazawa University, Ishikawa, Japan.

College of Science, Department of Science, Ibaraki University, Ibaraki, Japan.

出版信息

Fly (Austin). 2022 Dec;16(1):222-232. doi: 10.1080/19336934.2022.2073158.

Abstract

During the development of the central nervous system (CNS), extremely large numbers of neurons are produced in a regular fashion to form precise neural circuits. During this process, neural progenitor cells produce different neurons over time due to their intrinsic gene regulatory mechanisms as well as extrinsic mechanisms. The CNS has played an important role in elucidating the temporal mechanisms that control neurogenesis over time. It has been shown that a series of temporal transcription factors are sequentially expressed in neural progenitor cells and regulate the temporal specification of neurons in the embryonic CNS. Additionally, similar mechanisms are found in the developing optic lobe and central brain in the larval CNS. However, it is difficult to elucidate the function of numerous molecules in many different cell types solely by molecular genetic approaches. Recently, omics analysis using single-cell RNA-seq and other methods has been used to study the nervous system on a large scale and is making a significant contribution to the understanding of the temporal mechanisms of neurogenesis. In this article, recent findings on the temporal patterning of neurogenesis and the contributions of cutting-edge technologies will be reviewed.

摘要

在中枢神经系统 (CNS) 的发育过程中,大量的神经元以规则的方式产生,以形成精确的神经回路。在此过程中,神经祖细胞由于其内在的基因调控机制以及外在机制,会随着时间的推移产生不同的神经元。CNS 在阐明随时间控制神经发生的时间机制方面发挥了重要作用。已经表明,一系列时间转录因子在神经祖细胞中顺序表达,并调节胚胎 CNS 中神经元的时间特异性。此外,在幼虫 CNS 的发育视叶和中枢脑中也发现了类似的机制。然而,仅通过分子遗传方法很难阐明许多不同细胞类型中众多分子的功能。最近,使用单细胞 RNA-seq 和其他方法的组学分析已被用于大规模研究神经系统,并为理解神经发生的时间机制做出了重大贡献。本文将回顾神经发生的时间模式以及前沿技术的贡献的最新发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5498/9116403/95624fb46012/KFLY_A_2073158_F0001_OC.jpg

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