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

Abstract 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 ca...

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Veröffentlicht in:Nucleic acids research 2021-01, Vol.49 (D1), p.D1396-D1404
Hauptverfasser: Chen, Kunqi, Song, Bowen, Tang, Yujiao, Wei, Zhen, Xu, Qingru, Su, Jionglong, de Magalhães, João Pedro, Rigden, Daniel J, Meng, Jia
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container_end_page D1404
container_issue D1
container_start_page D1396
container_title Nucleic acids research
container_volume 49
creator Chen, Kunqi
Song, Bowen
Tang, Yujiao
Wei, Zhen
Xu, Qingru
Su, Jionglong
de Magalhães, João Pedro
Rigden, Daniel J
Meng, Jia
description Abstract 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 (m6A, m5C, m1A, m5U, Ψ, m6Am, m7G 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.
doi_str_mv 10.1093/nar/gkaa790
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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 (m6A, m5C, m1A, m5U, Ψ, m6Am, m7G 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. 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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. 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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 (m6A, m5C, m1A, m5U, Ψ, m6Am, m7G and Nm). These include 4,289 disease-associated variants that may imply disease pathogenesis functioning at the epitranscriptome layer. 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subjects Alternative Splicing
Database Issue
Databases, Genetic
Epigenesis, Genetic
Gene Expression Regulation, Neoplastic
Humans
Internet
MicroRNAs - genetics
MicroRNAs - metabolism
Molecular Sequence Annotation
Neoplasms - genetics
Neoplasms - metabolism
Neoplasms - pathology
Polymorphism, Single Nucleotide
RNA Processing, Post-Transcriptional
RNA, Neoplasm - classification
RNA, Neoplasm - genetics
RNA, Neoplasm - metabolism
RNA-Binding Proteins - genetics
RNA-Binding Proteins - metabolism
Software
Transcriptome
title RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis
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