: 11:50 AM - 12:30 PM
Type: Invited presentation
Affiliation: CNRS - Aix-Marseille Université, Marseilles, France
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.