ArticleNeuro-oncology2013
Identifying dysfunctional miRNA-mRNA regulatory modules by inverse activation, cofunction, and high interconnection of target genes: a case study of glioblastoma.
Article in Neuro-oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 23 citations in OpenAlex.
- CCmiR: a computational approach for competitive and cooperative microRNA binding prediction.Bioinformatics (Oxford, England) · 2018Article
- Cooperative genomic alteration network reveals molecular classification across 12 major cancer types.Nucleic acids research · 2017Article
- Article
- Construction and analysis of dynamic transcription factor regulatory networks in the progression of glioma.Scientific reports · 2015Article
- Genome-wide DNA methylome reveals the dysfunction of intronic microRNAs in major psychosis.BMC medical genomics · 2015Article
- Identifying core gene modules in glioblastoma based on multilayer factor-mediated dysfunctional regulatory networks through integrating multi-dimensional genomic data.Nucleic acids research · 2015Article
- Identification of subtype specific miRNA-mRNA functional regulatory modules in matched miRNA-mRNA expression data: multiple myeloma as a case.BioMed research international · 2015Article
- Integrated analyses to reconstruct microRNA-mediated regulatory networks in mouse liver using high-throughput profiling.BMC genomics · 2015Article
- MicroRNA-27a distinguishes glioblastoma multiforme from diffuse and anaplastic astrocytomas and has prognostic value.American journal of cancer research · 2015Article
- MicroRNA expression signatures determine prognosis and survival in glioblastoma multiforme--a systematic overview.Molecular neurobiology · 2014Review
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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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