Literature DB >> 28735351

Multiple correlation analyses revealed complex relationship between DNA methylation and mRNA expression in human peripheral blood mononuclear cells.

Fang-Fei Xie1,2, Fei-Yan Deng1,2, Long-Fei Wu1,2, Xing-Bo Mo1,2, Hong Zhu1,2, Jian Wu3, Yu-Fan Guo3, Ke-Qin Zeng3, Ming-Jun Wang3, Xiao-Wei Zhu1,2, Wei Xia1,2, Lan Wang1,2, Pei He1,2, Peng-Fei Bing1,2, Xin Lu1,2, Yong-Hong Zhang2, Shu-Feng Lei4,5.   

Abstract

DNA methylation is an important regulator on the mRNA expression. However, a genome-wide correlation pattern between DNA methylation and mRNA expression in human peripheral blood mononuclear cells (PBMCs) is largely unknown. The comprehensive relationship between mRNA and DNA methylation was explored by using four types of correlation analyses and a genome-wide methylation-mRNA expression quantitative trait locus (eQTL) analysis in PBMCs in 46 unrelated female subjects. An enrichment analysis was performed to detect biological function for the detected genes. Single pair correlation coefficient (r T1) between methylation level and mRNA is moderate (-0.63-0.62) in intensity, and the negative and positive correlations are nearly equal in quantity. Correlation analysis on each gene (T4) found 60.1% genes showed correlations between mRNA and gene-based methylation at P < 0.05 and more than 5.96% genes presented very strong correlation (R T4 > 0.8). Methylation sites have regulation effects on mRNA expression in eQTL analysis, with more often observations in region of transcription start site (TSS). The genes under significant methylation regulation both in correlation analysis and eQTL analysis tend to cluster to the categories (e.g., transcription, translation, regulation of transcription) that are essential for maintaining the basic life activities of cells. Our findings indicated that DNA methylation has predictive regulation effect on mRNA with a very complex pattern in PBMCs. The results increased our understanding on correlation of methylation and mRNA and also provided useful clues for future epigenetic studies in exploring biological and disease-related regulatory mechanisms in PBMC.

Entities:  

Keywords:  Correlation; DNA methylation; Gene expression

Mesh:

Substances:

Year:  2017        PMID: 28735351     DOI: 10.1007/s10142-017-0568-6

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


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