Literature DB >> 28879530

Correlation analyses revealed global microRNA-mRNA expression associations in human peripheral blood mononuclear cells.

Lan Wang1,2,3, Jiang Zhu4, Fei-Yan Deng1,2, Long-Fei Wu1,2, Xing-Bo Mo1,2, Xiao-Wei Zhu1,2, Wei Xia1,2, Fang-Fei Xie1,2, Pei He1,2, Peng-Fei Bing1,2, Ying-Hua Qiu1,2, Xiang Lin1,2, Xin Lu1,2, Lei Zhang1,2, Neng-Jun Yi5, Yong-Hong Zhang2, Shu-Feng Lei6,7.   

Abstract

MicroRNAs (miRNAs) can regulate gene expression through binding to complementary sites in the 3'-untranslated regions of target mRNAs, which will lead to existence of correlation in expression between miRNA and mRNA. However, the miRNA-mRNA correlation patterns are complex and remain largely unclear yet. To establish the global correlation patterns in human peripheral blood mononuclear cells (PBMCs), multiple miRNA-mRNA correlation analyses and expression quantitative trait locus (eQTL) analysis were conducted in this study. We predicted and achieved 861 miRNA-mRNA pairs (65 miRNAs, 412 mRNAs) using multiple bioinformatics programs, and found global negative miRNA-mRNA correlations in PBMC from all 46 study subjects. Among the 861 pairs of correlations, 19.5% were significant (P < 0.05) and ~70% were negative. The correlation network was complex and highlighted key miRNAs/genes in PBMC. Some miRNAs, such as hsa-miR-29a, hsa-miR-148a, regulate a cluster of target genes. Some genes, e.g., TNRC6A, are regulated by multiple miRNAs. The identified genes tend to be enriched in molecular functions of DNA and RNA binding, and biological processes such as protein transport, regulation of translation and chromatin modification. The results provided a global view of the miRNA-mRNA expression correlation profile in human PBMCs, which would facilitate in-depth investigation of biological functions of key miRNAs/mRNAs and better understanding of the pathogenesis underlying PBMC-related diseases.

Entities:  

Keywords:  Correlation; Network; Peripheral blood mononuclear cells; mRNA; miRNA

Mesh:

Substances:

Year:  2017        PMID: 28879530     DOI: 10.1007/s00438-017-1367-4

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


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