Thesis presented 08 October 2015
Abstract: microRNA (miRNA) are biological entities in our cells that regulate gene expression. One miRNA is able to interact with more than a hundred of genes. On the other hand, one gene can be regulated by many different miRNAs. These two statements give rise to a complex network of coregulation between genes and miRNA in order to produce a certain cell phenotype. The aim of this doctoral thesis was to study the coregulation network using tools derived from graph theory such that a better understanding of miRNA was reached. More specifically, the project consisted in the inference of a miRNA network based on shared genes and the analysis of its global structure (
i.e. network shape and biological implication) but also the local structures (
i.e. finding communities and predict their role). The work thus allowed the highlight of groups of miARN involved in different process such as cell signalization but also cell development.
Keywords: miRNA, RNA interference, coregulation
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