Research article

Large-scale prediction of ADAR-mediated effective human A-to-I RNA editing

Yao, L.=, Wang, H.=, Song, Y.=, Dai, Z., Yu, H., Yin, M., Wang, D., Yang, X., Wang, J., Wang, T., Cao, N., Zhu, J., Shen, X., Song, G., & Zhao, Y.

Venue
Briefings in Bioinformatics
Published
January 1, 2019
Issue/Page
20(1): 102-109
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Last updated May 11, 2025

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 at https://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.

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Yao L, et al. Large-scale prediction of ADAR-mediated effective human A-to-I RNA editing. Large-scale prediction of ADAR-mediated effective human A-to-I RNA editing. 2019; 20:102-109. doi: 10.1093/bib/bbx092

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© Li Yao 2019-2026.