Integrating Modelling of Metabolism and Signalling towards an Application in Liver Cancer (ERASysAPP - IMOMESIC)
Forskningsprojekt, 2014
– 2018
Uncontrolled proliferation in cancer results from synergistic adaptations in metabolism and signalling. However, due to the complexity, coupling mechanisms between metabolism and signalling are difficult to assess and it remains to be clarified how they give rise to cooperative enhancement. As a proof of concept, we focus on liver cancer, and propose a combined experimental and modelling approach that exploits both, comprehensive genome-scale models to identify global, cancer-specific alterations as well as a more detailed integrative model that links glycolysis and signalling. We will develop standard operating procedures for combined quantitative studies of metabolism and signal transduction in healthy and cancer cells, elucidate alterations in signalling and gene expression causing glycolytic adaptations and predict cancer-cell selective drug combinations using mathematical modelling of healthy and cancer cells. The proposed approach will act as a model study for systems biology approaches to integrate metabolism and signalling in oncology and will open new avenues for the treatment of liver cancer.
Deltagare
Jens B Nielsen (kontakt)
Chalmers, Biologi och bioteknik
Adil Mardinoglu
Chalmers, Life sciences, Systembiologi
Avlant Nilsson
Chalmers, Life sciences, Systembiologi
Samarbetspartners
Albert-Ludwigs-Universität Freiburg
Freiburg, Germany
Charité Universitätsmedizin Berlin
Berlin, Germany
Deutsches Krebsforschungszentrum (DKFZ)
Heidelberg, Germany
Griffin Discoveries
Amsterdam, Netherlands
Vrije Universiteit Amsterdam
Amsterdam, Netherlands
Finansiering
Vetenskapsrådet (VR)
Projekt-id: 2014-6544
Finansierar Chalmers deltagande under 2014–2018
Relaterade styrkeområden och infrastruktur
Hållbar utveckling
Drivkrafter