MicroRNA mRNA Module Prediction Leading to Microarray Data Analysis to Develop Gene Regulatory Network

MicroRNAs (miRNAs) are those small RNAs that not only recognize but also regulate mRNA target genes. Evidences are relevant enough to show that they are key regulators for various functions including development as well as diseases like cancer. They have a major role as regulator through RNA-interference pathway. The regulation occurs when mRNA is cleaved or has repressing transcription. Aim is to predict miRNA mRNA regulatory modules which consists of miRNAs and target genes that work together in gene regulation influencing biological processes. Primary step includes studying the combined effect of miRNAs and mRNAs on various cellular states in order to get the knowledge of those miRNAs and mRNAs which are closely related to each other. Individual as well as inter relational expression profiles, binding scores and correlations were studied. miRNA mRNA modules constructed were combinations of miRNA and mRNAs that represents similar biological functions. Fitness of these combinations was calculated followed by a probabilistic learning method. Most of the members in the module were reported to be related to cancer. Consequently the method provides source for miRNA and target sets found to be closely related parts in the gene regulatory pathways. Microarray data was analysed to obtain refined clusters which further constructs the gene regulatory networks. Signalling pathways resulted from the target genes for the miRNAs showed both activating and inhibitory roles. Microarrays are used to study the collective behaviour of genes. Genes control cell response to environmental changes through gene regulation. The most important use of gene regulatory network is as we study the relationship between genes a triggering mechanism is studied as well as they help to study genes for the disease treatment.