Large-scale prediction of ADAR-mediated effective human A-to-I RNA editing. (10th August 2017)

• Record Type: Journal Article
• Authors: Yao, Li; Wang, Heming; Song, Yuanyuan; Dai, Zhen; Yu, Hao; Yin, Ming; Wang, Dongxu; Yang, Xin; Wang, Jinlin; Wang, Tiedong; Cao, Nan; Zhu, Jimin; Shen, Xizhong; Song, Guangqi; Zhao, Yicheng
• Is Part Of: Briefings in bioinformatics. Volume 20:Number 1(2019)
• Page Start: 102
• Page End: 109
• Publication Date: 2017-08-10
• Subjects: RNA editing -- microRNA targeting -- alternative mRNA splicing -- gene mutation; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbx092
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: Adenosine-to-inosine (A-to-I) editing by adenosine deaminase acting on the RNA (ADAR) proteins is one of the most frequent modifications during post- and co-transcription. To facilitate the assignment of biological functions to specific editing sites, we designed an automatic online platform to annotate A-to-I RNA editing sites in pre-mRNA splicing signals, microRNAs (miRNAs) and miRNA target untranslated regions (3′ UTRs) from human ( Homo sapiens ) high-throughput sequencing data and predict their effects based on large-scale bioinformatic analysis. After analysing plenty of previously reported RNA editing events and human normal tissues RNA high-seq data, >60 000 potentially effective RNA editing events on functional genes were found. The RNA Editing Plus platform is available for free athttps://www.rnaeditplus.org/, and we believe our platform governing multiple optimized methods will improve further studies of A-to-I-induced editing post-transcriptional regulation.