AuthorsKhamis, Abdullah M.
Lioznova, Anna V.
Artemov, Artem V.
Bajic, Vladimir B.
Medvedeva, Yulia A.
KAUST DepartmentComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
Applied Mathematics and Computational Science Program
Permanent link to this recordhttp://hdl.handle.net/10754/625213
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AbstractDNA methylation is involved in regulation of gene expression. Although modern methods profile DNA methylation at single CpG sites, methylation levels are usually averaged over genomic regions in the downstream analyses. In this study we demonstrate that single CpG methylation can serve as a more accurate predictor of gene expression compared to average promoter / gene body methylation. CpG positions with significant correlation between methylation and expression of a gene nearby (named CpG traffic lights) are evolutionary conserved and enriched for exact TSS positions and active enhancers. Among all promoter types, CpG traffic lights are especially enriched in poised promoters. Genes that harbor CpG traffic lights are associated with development and signal transduction. Methylation levels of individual CpG traffic lights vary between cell types dramatically with the increased frequency of intermediate methylation levels, indicating cell population heterogeneity in CpG methylation levels. Being in line with the concept of the inherited stochastic epigenetic variation, methylation of such CpG positions might contribute to transcriptional regulation. Alternatively, one can hypothesize that traffic lights are markers of absent gene expression resulting from inactivation of their regulatory elements. The CpG traffic lights provide a promising insight into mechanisms of enhancer activity and gene regulation linking methylation of single CpG to expression.
CitationKhamis AM, Lioznova AV, Artemov AV, Ramensky V, Bajic VB, et al. (2016) CpG traffic lights are markers of regulatory regions in humans. Available: http://dx.doi.org/10.1101/095968.
SponsorsThis work was supported by RFBR grant 14-04-00180 to YAM. VBB is supported by the base research fund of the King Abdullah University of Science and Technology (KAUST).
PublisherCold Spring Harbor Laboratory
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