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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