Identifying dysfunctional miRNA-mRNA regulatory modules by inverse activation,cofunction, and high interconnection of target genes: A case study of glioblastoma |
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Authors: | Yun Xiao Yanyan Ping Huihui Fan Chaohan Xu Jinxia Guan Hongying Zhao Yiqun Li Yanling Lv Yan Jin Lihua Wang Xia Li |
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Affiliation: | College of Bioinformatics Science and Technology (Y.X., Y.P., H.F., C.X., J.G., H.Z., Y.L., Y.L., X.L.), Laboratory of Medical Genetics (Y.J.), and Key Laboratory of Medical Genetics, Harbin Medical University, Heilongjiang Higher Education Institutions (Y.J.); and Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China (L.W.) |
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Abstract: | BackgroundAccumulating evidence demonstrates that complex diseases may arise from cooperative effects of multiple dysfunctional miRNAs. Thus, identifying abnormal functions cooperatively regulated by multiple miRNAs is useful for understanding the pathogenesis of complex diseases.MethodsIn this study, we proposed a multistep method to identify dysfunctional miRNA-mRNA regulatory modules (dMiMRMs) in a specific disease, in which a group of miRNAs cooperatively regulate a group of target genes involved in a specific function. We identified dysfunctional miRNAs, which were differentially expressed and inversely regulated most of their target genes, by integrating paired miRNA and mRNA expression profiles and miRNA target information. Then, we identified cooperative functional units, in each of which a pair of miRNAs cooperatively repressed function-enriched and highly interconnected target genes. Finally, the cooperative functional units were assembled into dMiMRMs.ResultsWe applied our method to glioblastoma (GBM) and identified GBM-associated dMiMRMs at the population, subtype, and individual levels. We identified 5 common dMiMRMs using all GBM samples, 3 of which were associated with the prognosis in patients with GBM and were better predictors of prognosis than were miRNAs or mRNAs alone. By applying our approach to GBM subtypes, we found consistent dMiMRMs across GBM subtypes, and some subtype-specific dMiMRMs were observed. Furthermore, personalized dMiMRMs were identified, suggesting significant individual differences in different patients with GBM.ConclusionsOur method provides the capability to identify miRNA-mediated dysfunctional mechanisms underlying complex diseases. |
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Keywords: | cooperation glioblastoma miRNA-mRNA regulatory module miRNA and mRNA expression profiles |
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