m6A2Circ: A comprehensive database for decoding the regulatory relationship between m6A modification and circular RNA

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yongtian Li , Bianli Gu , Lixia Ma , Li-Na He , Xiaoqiong Bao , Yuantai Huang , Rui Yang , Li Wang , Qingtao Yang , Haibo Yang , Zhixiang Zuo , Shegan Gao , Xueya Zhao , Ke Chen
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引用次数: 0

Abstract

Circular RNA (circRNA) is a class of noncoding RNAs derived from back-splicing of pre-mRNAs. Recent studies have increasingly highlighted the pivotal roles of N6-methyladenosine (m6A) in regulating various aspects of circRNA metabolism, including biogenesis, localization, stability, and translation. Despite the importance of m6A in circRNA metabolism, there remains a substantial gap in comprehensive resources dedicated to exploring m6A modification in circRNA. To bridge this significant gap, we present m6A2Circ (http://m6a2circ.canceromics.org/), a pioneering database designed to systematically explore the regulatory interactions between m6A modification and circRNA. The m6A2Circ database encompasses 198,804 m6A-circRNA associations derived from diverse human and mouse tissues. These associations are meticulously categorized into four levels of evidence supported either by experimental data or by high-throughput sequencing data. Moreover, the database offers extensive annotations, facilitating research into circRNA function and its potential disease implications. Overall, m6A2Circ aims to benefit the research community and bolster novel discoveries in terms of crosstalk between m6A and circRNA.
环状 RNA(circRNA)是一类由前 mRNA 反向拼接而来的非编码 RNA。最近的研究越来越多地强调了 N6-甲基腺苷(m6A)在调控 circRNA 代谢的各个方面(包括生物发生、定位、稳定性和翻译)的关键作用。尽管 m6A 在 circRNA 代谢中具有重要作用,但专门用于探索 circRNA 中 m6A 修饰的综合资源仍存在巨大缺口。为了弥补这一重大空白,我们推出了 m6A2Circ (http://m6a2circ.canceromics.org/),这是一个开创性的数据库,旨在系统地探索 m6A 修饰与 circRNA 之间的调控相互作用。m6A2Circ 数据库包含 198,804 个来自不同人体和小鼠组织的 m6A-circRNA 关联。这些关联根据实验数据或高通量测序数据的支持,被细致地分为四个证据级别。此外,该数据库还提供了大量注释,有助于研究 circRNA 的功能及其对疾病的潜在影响。总之,m6A2Circ 的目标是造福研究界,促进 m6A 和 circRNA 之间相互影响的新发现。
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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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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