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Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human
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 la...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323952/ https://www.ncbi.nlm.nih.gov/pubmed/30357418 http://dx.doi.org/10.1093/nar/gky958 |
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author | 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 |
author_facet | 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 |
author_sort | Niu, Guangyi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6323952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63239522019-01-10 Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human 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 Nucleic Acids Res Database Issue 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. Oxford University Press 2019-01-08 2018-10-24 /pmc/articles/PMC6323952/ /pubmed/30357418 http://dx.doi.org/10.1093/nar/gky958 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue 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 Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human |
title | Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human |
title_full | Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human |
title_fullStr | Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human |
title_full_unstemmed | Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human |
title_short | Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human |
title_sort | editome disease knowledgebase (edk): a curated knowledgebase of editome-disease associations in human |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323952/ https://www.ncbi.nlm.nih.gov/pubmed/30357418 http://dx.doi.org/10.1093/nar/gky958 |
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