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ELAVL 蛋白在脑发育和疾病中的分子遗传学。

The molecular genetics of nELAVL in brain development and disease.

机构信息

Department of Biochemistry, University of Otago, Dunedin, New Zealand.

出版信息

Eur J Hum Genet. 2023 Nov;31(11):1209-1217. doi: 10.1038/s41431-023-01456-z. Epub 2023 Sep 12.

Abstract

Embryonic development requires tight control of gene expression levels, activity, and localisation. This control is coordinated by multiple levels of regulation on DNA, RNA and protein. RNA-binding proteins (RBPs) are recognised as key regulators of post-transcriptional gene regulation, where their binding controls splicing, polyadenylation, nuclear export, mRNA stability, translation rate and decay. In brain development, the ELAVL family of RNA binding proteins undertake essential functions across spatiotemporal windows to help regulate and specify transcriptomic programmes for cell specialisation. Despite their recognised importance in neural tissues, their molecular roles and connections to pathology are less explored. Here we provide an overview of the neuronal ELAVL family, noting commonalities and differences amongst different species, their molecular characteristics, and roles in the cell. We bring together the available molecular genetics evidence to link different ELAVL proteins to phenotypes and disease, in both the brain and beyond, including ELAVL2, which is the least studied ELAVL family member. We find that ELAVL-related pathology shares a common neurological theme, but different ELAVL proteins are more strongly connected to different phenotypes, reflecting their specialised expression across time and space.

摘要

胚胎发育需要严格控制基因表达水平、活性和定位。这种控制是通过 DNA、RNA 和蛋白质的多个调节层次来协调的。RNA 结合蛋白 (RBPs) 被认为是转录后基因调控的关键调节剂,它们的结合控制剪接、多聚腺苷酸化、核输出、mRNA 稳定性、翻译速度和降解。在大脑发育过程中,ELAVL 家族的 RNA 结合蛋白在时空窗口内发挥重要功能,有助于调节和指定细胞特化的转录组程序。尽管它们在神经组织中的重要性已得到认可,但它们的分子作用及其与病理学的联系仍未得到充分探索。在这里,我们概述了神经元 ELAVL 家族,指出了不同物种之间的共性和差异、它们的分子特征以及在细胞中的作用。我们汇集了现有的分子遗传学证据,将不同的 ELAVL 蛋白与大脑内外的表型和疾病联系起来,包括 ELAVL2,这是研究最少的 ELAVL 家族成员。我们发现,ELAVL 相关的病理学具有共同的神经主题,但不同的 ELAVL 蛋白与不同的表型联系更紧密,反映了它们在时间和空间上的特异性表达。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1764/10620143/a28e857a0468/41431_2023_1456_Fig1_HTML.jpg

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