Bowen Song1, Yujiao Tang1,2, Kunqi Chen1,3, Zhen Wei1,3, Rong Rong1,3, Zhiliang Lu1,3, Jionglong Su4, João Pedro de Magalhães3, Daniel J Rigden2, Jia Meng1,3,5. 1. Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China. 2. Institute of Integrative Biology, University of Liverpool, Liverpool L7 8TX, UK. 3. Institute of Ageing & Chronic Disease, University of Liverpool, Liverpool L7 8TX, UK. 4. Department of Mathematical Sciences. 5. AI University Research Centre (AI-URC), Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Abstract
MOTIVATION: Recent progress in N7-methylguanosine (m7G) RNA methylation studies has focused on its internal (rather than capped) presence within mRNAs. Tens of thousands of internal mRNA m7G sites have been identified within mammalian transcriptomes, and a single resource to best share, annotate and analyze the massive m7G data generated recently are sorely needed. RESULTS: We report here m7GHub, a comprehensive online platform for deciphering the location, regulation and pathogenesis of internal mRNA m7G. The m7GHub consists of four main components, including: the first internal mRNA m7G database containing 44 058 experimentally validated internal mRNA m7G sites, a sequence-based high-accuracy predictor, the first web server for assessing the impact of mutations on m7G status, and the first database recording 1218 disease-associated genetic mutations that may function through regulation of m7G methylation. Together, m7GHub will serve as a useful resource for research on internal mRNA m7G modification. AVAILABILITY AND IMPLEMENTATION: m7GHub is freely accessible online at www.xjtlu.edu.cn/biologicalsciences/m7ghub. CONTACT: kunqi.chen@liverpool.ac.uk. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
MOTIVATION: Recent progress in N7-methylguanosine (m7G) RNA methylation studies has focused on its internal (rather than capped) presence within mRNAs. Tens of thousands of internal mRNA m7G sites have been identified within mammalian transcriptomes, and a single resource to best share, annotate and analyze the massive m7G data generated recently are sorely needed. RESULTS: We report here m7GHub, a comprehensive online platform for deciphering the location, regulation and pathogenesis of internal mRNA m7G. The m7GHub consists of four main components, including: the first internal mRNA m7G database containing 44 058 experimentally validated internal mRNA m7G sites, a sequence-based high-accuracy predictor, the first web server for assessing the impact of mutations on m7G status, and the first database recording 1218 disease-associated genetic mutations that may function through regulation of m7G methylation. Together, m7GHub will serve as a useful resource for research on internal mRNA m7G modification. AVAILABILITY AND IMPLEMENTATION: m7GHub is freely accessible online at www.xjtlu.edu.cn/biologicalsciences/m7ghub. CONTACT: kunqi.chen@liverpool.ac.uk. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.