Network approaches for human complex diseases

Anaïs Baudot

Time: 11:50 AM - 12:30 PM

Type: Invited presentation

Affiliation: CNRS - Aix-Marseille Université, Marseilles, France

Abstract

Networks are scaling-up the analysis of gene and protein functions, hence offering new avenues to study the complex diseases in which these genes and proteins are involved. In the first part of my talk, I will focus on the exploration of interactome networks containing thousands of physical and functional interactions between proteins. We develop partitioning algorithms to recover community - or functional modules - from these large-scale networks, and use them to study the cellular functions of proteins of interest. We proposed for instance the involvement of Hsp27, a key stress-response protein, in DNA repair and splicing. We have recently extended the community detection to multiplex networks, i.e., networks containing different layers representing different interaction categories, such as protein-protein interaction or gene co-expression. In the second part of my talk, I will present our ongoing work, which aims to contextualize networks and set up dynamic analyses to study prostate cancer progression to resistance. We proceed through proteomics data integration into large-scale static networks and dynamic models. Finally, I will describe how network models of cell signaling can be used to predict relevant drug synergies in gastric cancers.