Suppr超能文献

环状RNA在脑和神经退行性疾病中的调控机制。

Regulatory mechanism of circular RNAs in brain and neurodegenerative diseases.

作者信息

Amelimojarad Mandana, Amelimojarad Melika

机构信息

Department of Bioprocess Engineering, Institute of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.

出版信息

Front Mol Neurosci. 2025 May 16;18:1507575. doi: 10.3389/fnmol.2025.1507575. eCollection 2025.

Abstract

Recent advancements in sequencing technology have allowed scientists to study the function and expression of different non-coding RNAs (ncRNAs). Circular RNAs (circRNAs) are increasingly recognized as prognostic and diagnostic biomarkers. These classes of ncRNAs are closed loops that are made from alternative mRNA splicing and can be found in large quantities with their evolutionarily conserved features across different species. These circRNAs can be derived from both coding and non-coding transcript and regulate cellular proteins and the expression of linear mRNA transcripts via their ability to act as miRNA sponges at various levels. Different circRNAs can affect the neurodegenerative disease pathogenesis such as Alzheimer's disease (AD), via altering a variety of methods. However, there is still limited knowledge about circRNAs in brain cells. Therefore, in this review, we will focus on the role of circRNAs in the brain to reveal a new potential therapeutic target and open the door to novel therapies and improved management of brain and neurodegenerative diseases.

摘要

测序技术的最新进展使科学家能够研究不同非编码RNA(ncRNA)的功能和表达。环状RNA(circRNA)越来越被认为是预后和诊断生物标志物。这类ncRNA是由可变mRNA剪接形成的闭环,在不同物种中大量存在且具有进化保守特征。这些circRNA可来源于编码和非编码转录本,并通过在不同水平上作为miRNA海绵的能力来调节细胞蛋白和线性mRNA转录本的表达。不同的circRNA可通过多种方式改变,从而影响神经退行性疾病的发病机制,如阿尔茨海默病(AD)。然而,关于脑细胞中circRNA的知识仍然有限。因此,在本综述中,我们将聚焦于circRNA在大脑中的作用,以揭示一个新的潜在治疗靶点,并为大脑和神经退行性疾病的新疗法及改善管理打开大门。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7256/12123696/012cebabbfe7/fnmol-18-1507575-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验