Literature DB >> 33010174

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

Kunqi Chen1,2, Bowen Song3,4, Yujiao Tang1,3, Zhen Wei1,3, Qingru Xu1, Jionglong Su4, João Pedro de Magalhães2, Daniel J Rigden3, Jia Meng1,3,5.   

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.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2021        PMID: 33010174      PMCID: PMC7778951          DOI: 10.1093/nar/gkaa790

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  102 in total

1.  m7GHub: deciphering the location, regulation and pathogenesis of internal mRNA N7-methylguanosine (m7G) sites in human.

Authors:  Bowen Song; Yujiao Tang; Kunqi Chen; Zhen Wei; Rong Rong; Zhiliang Lu; Jionglong Su; João Pedro de Magalhães; Daniel J Rigden; Jia Meng
Journal:  Bioinformatics       Date:  2020-06-01       Impact factor: 6.937

Review 2.  RNA nucleotide methylation.

Authors:  Yuri Motorin; Mark Helm
Journal:  Wiley Interdiscip Rev RNA       Date:  2011-03-23       Impact factor: 9.957

3.  Site-specific ribose methylation of preribosomal RNA: a novel function for small nucleolar RNAs.

Authors:  Z Kiss-László; Y Henry; J P Bachellerie; M Caizergues-Ferrer; T Kiss
Journal:  Cell       Date:  1996-06-28       Impact factor: 41.582

4.  RNAactDrug: a comprehensive database of RNAs associated with drug sensitivity from multi-omics data.

Authors:  Qun Dong; Feng Li; Yanjun Xu; Jing Xiao; Yingqi Xu; Desi Shang; Chunlong Zhang; Haixiu Yang; Zihan Tian; Kai Mi; Xia Li; Yunpeng Zhang
Journal:  Brief Bioinform       Date:  2020-12-01       Impact factor: 11.622

5.  Chemical pulldown reveals dynamic pseudouridylation of the mammalian transcriptome.

Authors:  Xiaoyu Li; Ping Zhu; Shiqing Ma; Jinghui Song; Jinyi Bai; Fangfang Sun; Chengqi Yi
Journal:  Nat Chem Biol       Date:  2015-06-15       Impact factor: 15.040

6.  The m1A landscape on cytosolic and mitochondrial mRNA at single-base resolution.

Authors:  Modi Safra; Aldema Sas-Chen; Ronit Nir; Roni Winkler; Aharon Nachshon; Dan Bar-Yaacov; Matthias Erlacher; Walter Rossmanith; Noam Stern-Ginossar; Schraga Schwartz
Journal:  Nature       Date:  2017-10-25       Impact factor: 49.962

7.  Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome.

Authors:  Bastian Linder; Anya V Grozhik; Anthony O Olarerin-George; Cem Meydan; Christopher E Mason; Samie R Jaffrey
Journal:  Nat Methods       Date:  2015-06-29       Impact factor: 28.547

8.  iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.

Authors:  Pengmian Feng; Hui Ding; Hui Yang; Wei Chen; Hao Lin; Kuo-Chen Chou
Journal:  Mol Ther Nucleic Acids       Date:  2017-03-29

9.  m6Acomet: large-scale functional prediction of individual m6A RNA methylation sites from an RNA co-methylation network.

Authors:  Xiangyu Wu; Zhen Wei; Kunqi Chen; Qing Zhang; Jionglong Su; Hui Liu; Lin Zhang; Jia Meng
Journal:  BMC Bioinformatics       Date:  2019-05-02       Impact factor: 3.169

10.  Building accurate sequence-to-affinity models from high-throughput in vitro protein-DNA binding data using FeatureREDUCE.

Authors:  Todd R Riley; Allan Lazarovici; Richard S Mann; Harmen J Bussemaker
Journal:  Elife       Date:  2015-12-23       Impact factor: 8.140

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  27 in total

1.  Deep learning modeling m6A deposition reveals the importance of downstream cis-element sequences.

Authors:  Zhiyuan Luo; Jiacheng Zhang; Jingyi Fei; Shengdong Ke
Journal:  Nat Commun       Date:  2022-05-17       Impact factor: 17.694

2.  Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy.

Authors:  Md Mehedi Hasan; Sho Tsukiyama; Jae Youl Cho; Hiroyuki Kurata; Md Ashad Alam; Xiaowen Liu; Balachandran Manavalan; Hong-Wen Deng
Journal:  Mol Ther       Date:  2022-05-06       Impact factor: 12.910

3.  The 2021 Nucleic Acids Research database issue and the online molecular biology database collection.

Authors:  Daniel J Rigden; Xosé M Fernández
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

4.  Prognostic Significance and Tumor Immune Microenvironment Heterogenicity of m5C RNA Methylation Regulators in Triple-Negative Breast Cancer.

Authors:  Zhidong Huang; Junfan Pan; Helin Wang; Xianqiang Du; Yusheng Xu; Zhitang Wang; Debo Chen
Journal:  Front Cell Dev Biol       Date:  2021-04-13

Review 5.  Dynamics of m6A RNA Methylome on the Hallmarks of Hepatocellular Carcinoma.

Authors:  Enakshi Sivasudhan; Neil Blake; Zhi-Liang Lu; Jia Meng; Rong Rong
Journal:  Front Cell Dev Biol       Date:  2021-04-01

Review 6.  Current Advances in N6-Methyladenosine Methylation Modification During Bladder Cancer.

Authors:  Qiang Liu
Journal:  Front Genet       Date:  2022-01-11       Impact factor: 4.599

Review 7.  Elucidating the Functions of Non-Coding RNAs from the Perspective of RNA Modifications.

Authors:  Venkata Naga Srikanth Garikipati; Shizuka Uchida
Journal:  Noncoding RNA       Date:  2021-05-11

Review 8.  Epigenetics: Roles and therapeutic implications of non-coding RNA modifications in human cancers.

Authors:  Dawei Rong; Guangshun Sun; Fan Wu; Ye Cheng; Guoqiang Sun; Wei Jiang; Xiao Li; Yi Zhong; Liangliang Wu; Chuanyong Zhang; Weiwei Tang; Xuehao Wang
Journal:  Mol Ther Nucleic Acids       Date:  2021-05-01       Impact factor: 8.886

9.  m5C-Related lncRNAs Predict Overall Survival of Patients and Regulate the Tumor Immune Microenvironment in Lung Adenocarcinoma.

Authors:  Junfan Pan; Zhidong Huang; Yiquan Xu
Journal:  Front Cell Dev Biol       Date:  2021-06-29

10.  Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications.

Authors:  Zitao Song; Daiyun Huang; Bowen Song; Kunqi Chen; Yiyou Song; Gang Liu; Jionglong Su; João Pedro de Magalhães; Daniel J Rigden; Jia Meng
Journal:  Nat Commun       Date:  2021-06-29       Impact factor: 14.919

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