ArticleBMC genomics2011
Identification of microRNA-mRNA modules using microarray data.
Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
39 citing papers in PubMed, 62 citations in OpenAlex.
- Host-dependent alteration of the gut microbiota: the role of luminal microRNAs.Microbiome research reports · 2025Review
- Plant bioactive compounds driven microRNAs (miRNAs): A potential source and novel strategy targeting gene and cancer therapeutics.Non-coding RNA research · 2024Article
- A review on methods for predicting miRNA-mRNA regulatory modules.Journal of integrative bioinformatics · 2022Review
- miRModuleNet: Detecting miRNA-mRNA Regulatory Modules.Frontiers in genetics · 2022Article
- A holistic miRNA-mRNA module discovery.Non-coding RNA research · 2021Article
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- Article
- Factors Regulating microRNA Expression and Function in Multiple Myeloma.Non-coding RNA · 2019Review
- CCmiR: a computational approach for competitive and cooperative microRNA binding prediction.Bioinformatics (Oxford, England) · 2018Article
- MicroRNA-802 regulates hepatic insulin sensitivity and glucose metabolism.International journal of clinical and experimental pathology · 2018Article
- Article
- The modularity and dynamicity of miRNA-mRNA interactions in high-grade serous ovarian carcinomas and the prognostic implication.Computational biology and chemistry · 2016Article
- Identification of associations between small molecule drugs and miRNAs based on functional similarity.Oncotarget · 2016Article
- Associations of mRNA:microRNA for the Shared Downstream Molecules of EGFR and Alternative Tyrosine Kinase Receptors in Non-small Cell Lung Cancer.Frontiers in genetics · 2016Article
- A Novel Method for Gene-Specific Enhancement of Protein Translation by Targeting 5'UTRs of Selected Tumor Suppressors.PloS one · 2016Article
- MicroRNAs in multiple myeloma and related bone disease.Annals of translational medicine · 2015Review
- Inferring data-specific micro-RNA function through the joint ranking of micro-RNA and pathways from matched micro-RNA and gene expression data.Bioinformatics (Oxford, England) · 2015Article
- PUFA diets alter the microRNA expression profiles in an inflammation rat model.Molecular medicine reports · 2015Article
- MicroRNA modules prefer to bind weak and unconventional target sites.Bioinformatics (Oxford, England) · 2015Article
- MicroRNA regulatory networks in human adipose tissue and obesity.Nature reviews. Endocrinology · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicroRNAs (miRNAs) are post-transcriptional regulators of mRNA expression and are involved in numerous cellular processes. Consequently, miRNAs are an important component of gene regulatory networks and an improved understanding of miRNAs will further our knowledge of these networks. There is a many-to-many relationship between miRNAs and mRNAs because a single miRNA targets multiple mRNAs and a single mRNA is targeted by multiple miRNAs. However, most of the current methods for the identification of regulatory miRNAs and their target mRNAs ignore this biological observation and focus on miRNA-mRNA pairs.
resultsWe propose a two-step method for the identification of many-to-many relationships between miRNAs and mRNAs. In the first step, we obtain miRNA and mRNA clusters using a combination of miRNA-target mRNA prediction algorithms and microarray expression data. In the second step, we determine the associations between miRNA clusters and mRNA clusters based on changes in miRNA and mRNA expression profiles. We consider the miRNA-mRNA clusters with statistically significant associations to be potentially regulatory and, therefore, of biological interest.
conclusionsOur method reduces the interactions between several hundred miRNAs and several thousand mRNAs to a few miRNA-mRNA groups, thereby facilitating a more meaningful biological analysis and a more targeted experimental validation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.