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Nucleic Acids Res. 2019 Jan 8;47(D1):D78-D83. doi: 10.1093/nar/gky958.

Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human.

Niu G1,2,3, Zou D1,2, Li M1,2,3, Zhang Y1,2,3, Sang J1,2,3, Xia L1,2,3, Li M1,2,3, Liu L1,2,3, Cao J1,2,3, Zhang Y1,2,3, Wang P1,2,3, Hu S2,3,4, Hao L1,2, Zhang Z1,2,3,4.

Author information

1
BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
2
CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
3
College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
4
School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China.

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.

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