Epigenomics · 2019 · 79 citations · 47 references
Life SciencesBiochemistryMolecular BiologyEpigeneticsEpigenomicsMetabolismDna MethylationEpigenomic ProfilingLipid MetabolismLiver DiseaseMetabolic Liver DiseaseRna-binding ProteinsComparative Methylome AnalysisDifferential Methylation AnalysisGenome-wide Methylation ProfilingLipid Metabolism PathwaysLipid Metabolism VariationMatched Control GroupMessenger Rna Binding ProteinsMethylome Profiling
Aim: To assess the m6A methylome in mouse fatty liver induced by a high-fat diet (HFD). Materials & methods: MeRIP-seq was performed to identify differences in the m6A methylomes between the normal liver and fatty liver induced by an HFD. Results: As compared with the control group, the upmethylated coding genes upon feeding an HFD were primarily enriched in processes associated with lipid metabolism, while genes with downmethylation were enriched in processes associated with metabolism and translation. Furthermore, many RNA-binding proteins that potentially bind to differentially methylated m6A sites were mainly annotated in processes of RNA splicing. Conclusion: These findings suggest that differential m6A methylation may act on functional genes through RNA-binding proteins to regulate the metabolism of lipids in fatty liver disease.
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Cutadapt removes adapter sequences from high-throughput sequencing reads
Marcel Martin · EMBnet journal · 2011 · 35.8K citations · Full text
Model-based Analysis of ChIP-Seq (MACS)
Yong Zhang, Tao Liu, Clifford A. Meyer et al. · Genome biology · 2008 · 19.9K citations · Full text