title: Functional complementation between transcriptional methylation regulation and post-transcriptional microRNA regulation in the human genome.
abstract: BACKGROUND
  DNA methylation in the 5' promoter regions of genes and microRNA (miRNA) regulation at the 3' untranslated regions (UTRs) are two major epigenetic regulation mechanisms in most eukaryotes. Both DNA methylation and miRNA regulation can suppress gene expression and their corresponding protein product; thus, they play critical roles in cellular processes. Although there have been numerous investigations of gene regulation by methylation changes and miRNAs, there is no systematic genome-wide examination of their coordinated effects in any organism.
  
  
  RESULTS
  In this study, we investigated the relationship between promoter methylation at the transcription level and miRNA regulation at the post-transcription level by taking advantage of recently released human methylome data and high quality miRNA and other gene annotation data. We found methylation level in the promoter regions and expression level was negatively correlated. Then, we showed that miRNAs tended to target the genes with a low DNA methylation level in their promoter regions. We further demonstrated that this observed pattern was not attributed to the gene expression level, expression broadness, or the number of transcription factor binding sites. Interestingly, we found miRNA target sites were significantly enriched in the genes located in differentially methylated regions or partially methylated domains. Finally, we explored the features of DNA methylation and miRNA regulation in cancer genes and found cancer genes tended to have low methylation level and more miRNA target sites.
  
  
  CONCLUSIONS
  This is the first genome-wide investigation of the combined regulation of gene expression. Our results supported a complementary regulation between DNA methylation (transcriptional level) and miRNA function (post-transcriptional level) in the human genome. The results were helpful for our understanding of the evolutionary forces towards organisms' complexity beyond traditional sequence level investigation.
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
authors.forename: Zhixi
authors.initials: Z
authors.lastname: Su
authors.forename: Junfeng
authors.initials: J
authors.lastname: Xia
authors.forename: Zhongming
authors.initials: Z
authors.lastname: Zhao
mesh_terms: D020413:3' Untranslated Regions; D000818:Animals; D018899:CpG Islands; D019175:DNA Methylation; D030541:Databases, Genetic; D044127:Epigenesis, Genetic; D015894:Genome, Human; D006801:Humans; D051379:Mice; D035683:MicroRNAs / Q000378:metabolism*; D011401:Promoter Regions, Genetic
chemical_list: D020413:3' Untranslated Regions; D035683:MicroRNAs