Suppr超能文献

miRTarBase 更新 2022:一个经过实验验证的 miRNA-靶标相互作用的信息资源。

miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions.

机构信息

The Genetics Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, Guangdong518172, China.

School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong518172, China.

出版信息

Nucleic Acids Res. 2022 Jan 7;50(D1):D222-D230. doi: 10.1093/nar/gkab1079.

Abstract

MicroRNAs (miRNAs) are noncoding RNAs with 18-26 nucleotides; they pair with target mRNAs to regulate gene expression and produce significant changes in various physiological and pathological processes. In recent years, the interaction between miRNAs and their target genes has become one of the mainstream directions for drug development. As a large-scale biological database that mainly provides miRNA-target interactions (MTIs) verified by biological experiments, miRTarBase has undergone five revisions and enhancements. The database has accumulated >2 200 449 verified MTIs from 13 389 manually curated articles and CLIP-seq data. An optimized scoring system is adopted to enhance this update's critical recognition of MTI-related articles and corresponding disease information. In addition, single-nucleotide polymorphisms and disease-related variants related to the binding efficiency of miRNA and target were characterized in miRNAs and gene 3' untranslated regions. miRNA expression profiles across extracellular vesicles, blood and different tissues, including exosomal miRNAs and tissue-specific miRNAs, were integrated to explore miRNA functions and biomarkers. For the user interface, we have classified attributes, including RNA expression, specific interaction, protein expression and biological function, for various validation experiments related to the role of miRNA. We also used seed sequence information to evaluate the binding sites of miRNA. In summary, these enhancements render miRTarBase as one of the most research-amicable MTI databases that contain comprehensive and experimentally verified annotations. The newly updated version of miRTarBase is now available at https://miRTarBase.cuhk.edu.cn/.

摘要

微小 RNA(miRNAs)是具有 18-26 个核苷酸的非编码 RNA;它们与靶 mRNA 配对,调节基因表达,并在各种生理和病理过程中产生显著变化。近年来,miRNAs 与其靶基因之间的相互作用已成为药物开发的主流方向之一。miRTarBase 是一个主要提供 miRNA-靶相互作用(MTIs)的大规模生物数据库,这些相互作用已通过生物实验验证。该数据库已经从 13389 篇手工整理的文章和 CLIP-seq 数据中积累了超过 2204499 个验证的 MTIs。该数据库采用了优化的评分系统,以增强本次更新对 MTI 相关文章和相应疾病信息的关键识别能力。此外,还对 miRNA 和基因 3'非翻译区中与 miRNA 与靶结合效率相关的单核苷酸多态性和疾病相关变异进行了特征描述。整合了细胞外囊泡、血液和不同组织中的 miRNA 表达谱,包括外泌体 miRNA 和组织特异性 miRNA,以探索 miRNA 的功能和生物标志物。在用户界面方面,我们对与 miRNA 作用相关的各种验证实验的属性进行了分类,包括 RNA 表达、特定相互作用、蛋白质表达和生物学功能。我们还使用种子序列信息来评估 miRNA 的结合位点。总之,这些增强功能使 miRTarBase 成为最适合研究的 MTI 数据库之一,其中包含全面且经过实验验证的注释。miRTarBase 的最新更新版本可在 https://miRTarBase.cuhk.edu.cn/ 上获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdbf/8728135/83da61381d27/gkab1079fig1.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