ArticleNucleic acids research2024
m7GHub V2.0: an updated database for decoding the N7-methylguanosine (m7G) epitranscriptome.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Computational prediction of RNA modification site-disease associations: a systematic review.Briefings in bioinformatics · 2026Pooled it
- DirectASRM: uncovering allele-specific post-transcriptional RNA modifications through direct RNA sequencing.Bioinformatics (Oxford, England) · 2026Article
- Methyltransferase METTL1 regulates MSC mRNA stability via m7G modification in acute pancreatitis.Cell death & disease · 2026Article
- Sequence determinant and functional relevance of 8-oxoguanine RNA modification unveiled from foundation-model-based predictor.Molecular therapy. Nucleic acids · 2026Article
- Integrative interpretable learning reveals shared patterns of epitranscriptomic regulation across multiple cancer types.BMC biology · 2026Article
- Domain-derived knowledge enabled machine learning and functional characterization of cancer-associated RNA methylation sites.BMC bioinformatics · 2026Article
- RMzyme: regulations of RNA-modifying enzymes in humans.Signal transduction and targeted therapy · 2026Article
- CircRM: profiling circular RNA modifications from nanopore direct RNA sequencing.Briefings in bioinformatics · 2026Article
- RM2Target v2.0: an updated database for the target genes of writers, erasers, and readers of RNA modifications.Nucleic acids research · 2026Article
- RMPore: a comprehensive database of single-molecule RNA modifications detected by Nanopore direct RNA sequencing.Nucleic acids research · 2026Article
- A context-dependent METTL1-m7G-SLC7A11 axis links metabolic stress to epithelial fate in ulcerative colitis.International journal of biological sciences · 2026Article
- Functional Prediction of Epitranscriptome.Methods in molecular biology (Clifton, N.J.) · 2026Article
- m6AHD: a new framework for identifying abnormal N6-methyladenosine (m6A) in heart diseases based on sequencing features.Frontiers in genetics · 2026Article
- Fusion_f5C-Pred: a dual-branch feature fusion framework for 5-formylcytosine modification sites prediction.BMC genomics · 2025Article
- N7-methylguanosine-related gene decapping scavenger enzymes as a novel biomarker regulating epithelial cell function in diabetic foot ulcers.World journal of diabetes · 2025Article
- m7G RNA methylation in cancer: Effect, mechanism and clinical application.Clinical and translational medicine · 2025Review
- A robust deep learning framework for RNA 5-methyluridine modification prediction using integrated features.BMC biology · 2025Article
- DirectRM: integrated detection of landscape and crosstalk between multiple RNA modifications using direct RNA sequencing.Nature communications · 2025Article
- MCAMEF-BERT: an efficient deep learning method for RNA N7-methylguanosine site prediction via multi-branch feature integration.Briefings in bioinformatics · 2025Article
- N7-methylguanosine (m7G) modification in breast cancer: clinical significances and molecular mechanisms.Cancer cell international · 2025Review
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
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.
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