Gene networks in the Smurf transition
Testing the Network Theory of Ageing using the Smurf-based two-phase ageing model.
Ageing is a complex process for which multiple genetic regulators have been identified in the past 30 years. Yet, the very mechanisms driving ageing have not been identified.
Using the broadly evolutionarily conserved and molecularly stereotyped Smurf transition, we develop an original approach for inferring the gene regulatory networks changes occuring during ageing and at the Smurf transition.
The project will focus on applying network approaches to understand and model the dynamics of gene networks driving ageing in Drosophila and Humans. In particular, the project will focus on describing ageing as a propagation of network failures in the multi-layer interactome. The project is supported by a French national ANR JCJC funding (ADAGIO).