Paper Info
Title
Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human.
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.
Year
DOI
Venue
2019
10.1093/nar/gky958
NUCLEIC ACIDS RESEARCH
Field
DocType
Volume
RNA,Disease,Biology,microRNA,RNA editing,Data curation,Genetics
Journal
47
Issue
ISSN
Citations 
D1
0305-1048
0
PageRank 
References 
Authors
0.34
1
14
Name
Order
Citations
PageRank
Guangyi Niu131.40
Dong Zou2123.14
Mengwei Li383.26
Yuansheng Zhang431.06
Jian Sang531.40
Lin Xia6242.69
Man Li7236.76
Lin Liu851.12
Jiabao Cao911.38
Yang Zhang1052.20
Pei Wang113116.88
Songnian Hu128716.83
Lili Hao1300.68
Zhang Zhang1417228.00