Integrating Modelling of Metabolism and Signalling towards an Application in Liver Cancer (ERASysAPP - IMOMESIC)

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.

Participants

Jens B Nielsen (contact)

Professor at Biology and Biological Engineering

Adil Mardinoglu

Forskarassistent at Biology and Biological Engineering, Systems and Synthetic Biology

Avlant Nilsson

Doktorand at Biology and Biological Engineering, Systems and Synthetic Biology

Collaborations

Charité University Medicine Berlin

Berlin, Germany

German Cancer Research Center

Heidelberg, Germany

Griffin Discoveries

Amsterdam, Netherlands

University of Freiburg

Freiburg, Germany

VU University Amsterdam

Amsterdam, Netherlands

Funding

Swedish Research Council (VR)

Funding years 2014–2018

More information

Latest update

2015-10-23