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RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis

Deciphering the biological impacts of millions of single nucleotide variants remains a major challenge. Recent studies suggest that RNA modifications play versatile roles in essential biological mechanisms, and are closely related to the progression of various diseases including multiple cancers. To...

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Autores principales: Chen, Kunqi, Song, Bowen, Tang, Yujiao, Wei, Zhen, Xu, Qingru, Su, Jionglong, de Magalhães, João Pedro, Rigden, Daniel J, Meng, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778951/
https://www.ncbi.nlm.nih.gov/pubmed/33010174
http://dx.doi.org/10.1093/nar/gkaa790
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author Chen, Kunqi
Song, Bowen
Tang, Yujiao
Wei, Zhen
Xu, Qingru
Su, Jionglong
de Magalhães, João Pedro
Rigden, Daniel J
Meng, Jia
author_facet Chen, Kunqi
Song, Bowen
Tang, Yujiao
Wei, Zhen
Xu, Qingru
Su, Jionglong
de Magalhães, João Pedro
Rigden, Daniel J
Meng, Jia
author_sort Chen, Kunqi
collection PubMed
description Deciphering the biological impacts of millions of single nucleotide variants remains a major challenge. Recent studies suggest that RNA modifications play versatile roles in essential biological mechanisms, and are closely related to the progression of various diseases including multiple cancers. To comprehensively unveil the association between disease-associated variants and their epitranscriptome disturbance, we built RMDisease, a database of genetic variants that can affect RNA modifications. By integrating the prediction results of 18 different RNA modification prediction tools and also 303,426 experimentally-validated RNA modification sites, RMDisease identified a total of 202,307 human SNPs that may affect (add or remove) sites of eight types of RNA modifications (m(6)A, m(5)C, m(1)A, m(5)U, Ψ, m(6)Am, m(7)G and Nm). These include 4,289 disease-associated variants that may imply disease pathogenesis functioning at the epitranscriptome layer. These SNPs were further annotated with essential information such as post-transcriptional regulations (sites for miRNA binding, interaction with RNA-binding proteins and alternative splicing) revealing putative regulatory circuits. A convenient graphical user interface was constructed to support the query, exploration and download of the relevant information. RMDisease should make a useful resource for studying the epitranscriptome impact of genetic variants via multiple RNA modifications with emphasis on their potential disease relevance. RMDisease is freely accessible at: www.xjtlu.edu.cn/biologicalsciences/rmd.
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spelling pubmed-77789512021-01-06 RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis Chen, Kunqi Song, Bowen Tang, Yujiao Wei, Zhen Xu, Qingru Su, Jionglong de Magalhães, João Pedro Rigden, Daniel J Meng, Jia Nucleic Acids Res Database Issue Deciphering the biological impacts of millions of single nucleotide variants remains a major challenge. Recent studies suggest that RNA modifications play versatile roles in essential biological mechanisms, and are closely related to the progression of various diseases including multiple cancers. To comprehensively unveil the association between disease-associated variants and their epitranscriptome disturbance, we built RMDisease, a database of genetic variants that can affect RNA modifications. By integrating the prediction results of 18 different RNA modification prediction tools and also 303,426 experimentally-validated RNA modification sites, RMDisease identified a total of 202,307 human SNPs that may affect (add or remove) sites of eight types of RNA modifications (m(6)A, m(5)C, m(1)A, m(5)U, Ψ, m(6)Am, m(7)G and Nm). These include 4,289 disease-associated variants that may imply disease pathogenesis functioning at the epitranscriptome layer. These SNPs were further annotated with essential information such as post-transcriptional regulations (sites for miRNA binding, interaction with RNA-binding proteins and alternative splicing) revealing putative regulatory circuits. A convenient graphical user interface was constructed to support the query, exploration and download of the relevant information. RMDisease should make a useful resource for studying the epitranscriptome impact of genetic variants via multiple RNA modifications with emphasis on their potential disease relevance. RMDisease is freely accessible at: www.xjtlu.edu.cn/biologicalsciences/rmd. Oxford University Press 2020-10-03 /pmc/articles/PMC7778951/ /pubmed/33010174 http://dx.doi.org/10.1093/nar/gkaa790 Text en © The Author(s) 2020. 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
Chen, Kunqi
Song, Bowen
Tang, Yujiao
Wei, Zhen
Xu, Qingru
Su, Jionglong
de Magalhães, João Pedro
Rigden, Daniel J
Meng, Jia
RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis
title RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis
title_full RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis
title_fullStr RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis
title_full_unstemmed RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis
title_short RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis
title_sort rmdisease: a database of genetic variants that affect rna modifications, with implications for epitranscriptome pathogenesis
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778951/
https://www.ncbi.nlm.nih.gov/pubmed/33010174
http://dx.doi.org/10.1093/nar/gkaa790
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