m7GHub V2.0: an updated database for decoding the N7-methylguanosine (m7G) epitranscriptome

Author:

Wang Xuan12,Zhang Yuxin23,Chen Kunqi4ORCID,Liang Zhanmin2,Ma Jiongming23,Xia Rong5,de Magalhães João Pedro6ORCID,Rigden Daniel J3,Meng Jia237ORCID,Song Bowen1ORCID

Affiliation:

1. Department of Public Health, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine , Nanjing  210023, China

2. Department of Biological Sciences, Xi’an Jiaotong-Liverpool University , Suzhou, 215123, China

3. Institute of Systems, Molecular and Integrative Biology, University of Liverpool , L7 8TX , Liverpool , UK

4. Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University , Fuzhou  350004, China

5. Department of Financial and Actuarial Mathematics, Xi’an Jiaotong-Liverpool University , Suzhou, 215123, China

6. Institute of Inflammation and Ageing, University of Birmingham , B15 2WB , Birmingham , UK

7. AI University Research Centre, Xi’an Jiaotong-Liverpool University , Suzhou  215123, China

Abstract

Abstract With recent progress in mapping N7-methylguanosine (m7G) RNA methylation sites, tens of thousands of experimentally validated m7G sites have been discovered in various species, shedding light on the significant role of m7G modification in regulating numerous biological processes including disease pathogenesis. An integrated resource that enables the sharing, annotation and customized analysis of m7G data will greatly facilitate m7G studies under various physiological contexts. We previously developed the m7GHub database to host mRNA m7G sites identified in the human transcriptome. Here, we present m7GHub v.2.0, an updated resource for a comprehensive collection of m7G modifications in various types of RNA across multiple species: an m7GDB database containing 430 898 putative m7G sites identified in 23 species, collected from both widely applied next-generation sequencing (NGS) and the emerging Oxford Nanopore direct RNA sequencing (ONT) techniques; an m7GDiseaseDB hosting 156 206 m7G-associated variants (involving addition or removal of an m7G site), including 3238 disease-relevant m7G-SNPs that may function through epitranscriptome disturbance; and two enhanced analysis modules to perform interactive analyses on the collections of m7G sites (m7GFinder) and functional variants (m7GSNPer). We expect that m7Ghub v.2.0 should serve as a valuable centralized resource for studying m7G modification. It is freely accessible at: www.rnamd.org/m7GHub2.

Funder

National Natural Science Foundation of China

XJTLU Key Program Special Fund

Scientific Research Foundation of Nanjing University of Chinese Medicine

Xi’an Jiaotong-Liverpool University

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference53 articles.

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