揭示纤毛在神经胶质发育中的功能。

IF 1 4区 生物学 Q4 GENETICS & HEREDITY Annals of Human Genetics Pub Date : 2023-07-10 DOI:10.1111/ahg.12519
Rachel M. Bear, Tamara Caspary
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引用次数: 0

摘要

初级纤毛在调节几个发育过程的信号通路中起关键作用。在神经系统中,已知纤毛调节引导神经元发育的信号。纤毛失调与神经系统疾病有关,其潜在机制尚不清楚。纤毛的研究主要集中在神经元上,而忽视了大脑中神经胶质细胞的多样性。神经胶质细胞在神经发育过程中发挥重要作用,其功能障碍与神经系统疾病有关;然而,纤毛功能与神经胶质发育之间的关系尚未得到充分研究。在这里,我们回顾了该领域的现状,并重点介绍了发现纤毛的胶质细胞类型以及与胶质发育相关的纤毛功能。这项工作揭示了纤毛在神经胶质发育中的重要性,并为该领域提出了悬而未决的问题。我们准备在了解神经胶质纤毛在人类发育中的功能及其对神经系统疾病的贡献方面取得进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Uncovering cilia function in glial development

Primary cilia play critical roles in regulating signaling pathways that underlie several developmental processes. In the nervous system, cilia are known to regulate signals that guide neuron development. Cilia dysregulation is implicated in neurological diseases, and the underlying mechanisms remain poorly understood. Cilia research has predominantly focused on neurons and has overlooked the diverse population of glial cells in the brain. Glial cells play essential roles during neurodevelopment, and their dysfunction contributes to neurological disease; however, the relationship between cilia function and glial development is understudied. Here we review the state of the field and highlight the glial cell types where cilia are found and the ciliary functions that are linked to glial development. This work uncovers the importance of cilia in glial development and raises outstanding questions for the field. We are poised to make progress in understanding the function of glial cilia in human development and their contribution to neurological diseases.

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来源期刊
Annals of Human Genetics
Annals of Human Genetics 生物-遗传学
CiteScore
4.20
自引率
0.00%
发文量
34
审稿时长
3 months
期刊介绍: Annals of Human Genetics publishes material directly concerned with human genetics or the application of scientific principles and techniques to any aspect of human inheritance. Papers that describe work on other species that may be relevant to human genetics will also be considered. Mathematical models should include examples of application to data where possible. Authors are welcome to submit Supporting Information, such as data sets or additional figures or tables, that will not be published in the print edition of the journal, but which will be viewable via the online edition and stored on the website.
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