Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human. Issue Volume 47:Issue D1(2019) (24th October 2018)

• Record Type: Journal Article
• Authors: Niu, Guangyi; Zou, Dong; Li, Mengwei; Zhang, Yuansheng; Sang, Jian; Xia, Lin; Li, Man; Liu, Lin; Cao, Jiabao; Zhang, Yang; Wang, Pei; Hu, Songnian; Hao, Lili; Zhang, Zhang
• Is Part Of: Nucleic acids research. Volume 47:Issue D1(2019)
• Page Start: D78
• Page End: D83
• Publication Date: 2018-10-24
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gky958
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: RNA editing, as an essential co-/post-transcriptional RNA modification type, plays critical roles in many biological processes and involves with a variety of human diseases. Although several databases have been developed to collect RNA editing data in both model and non-model animals, there still lacks a resource integrating associations between editome and human disease. In this study, we present Editome-Disease Knowledgebase (EDK; http://bigd.big.ac.cn/edk ), an integrated knowledgebase of RNA editome-disease associations manually curated from published literatures. In the current version, EDK incorporates 61 diseases associated with 248 experimentally validated abnormal editing events located in 32 mRNAs, 16 miRNAs, 1 lncRNA and 11 viruses, and 44 aberrant activities involved with 6 editing enzymes, which together are curated from more than 200 publications. In addition, to facilitate standardization of editome-disease knowledge integration, we propose a data curation model in EDK, factoring an abundance of relevant information to fully capture the context of editome-disease associations. Taken together, EDK is a comprehensive collection of editome-disease associations and bears the great utility in aid of better understanding the RNA editing machinery and complex molecular mechanisms associated with human diseases.