Research

1) Technology development for the quantitative high throughput analysis of metazoan interaction proteomes (Alexander Wepf, Timo Glatter)

2) Molecular systemsbiology of protein networks that control cell growth (Simon Hauri, Timo Glatter)

In this project we develop and apply an integrated strategy for the systematic analysis of the regulatory networks involved in cellular growth control. Building on the results of genetic screens in Drosophila melanogaster for genes affecting cellular growth, and by applying advanced quantitative proteomic techniques we will identify growth control protein networks and study their dynamic behavior in response to changes in the cellular environment that affect cell growth. We expect that this study that combines the power of hypothesis-driven and systematic, large scale analysis will enhance our systems level understanding of cellular signaling in general and will provide an integrative view on the molecular architecture and dynamics of molecular networks that have important clinical implications for diseases linked to altered growth control such as cancer or the metabolic syndrome.

Experimental strategy for the analysis of hormone sensitive interaction proteome of the Drosophila InR/TOR growth pathway

3) Systems biology of T-cell activation (Simon Hauri, Monica Carrera, Markku Varjosalo, Audrey van Drogen)

In the frame of the FP07 project Sybilla (Systems biology of T-cell activation) we develop technologies to systematically study the molecular signaling systems that control T-cell activation. Specifically we study time resolved changes in phospho proteomes and interaction proteomes of T-cells. Data from these studies will feed into the development of mathematical models to better predict T-cell activation in pathological conditions.

4) Systematic analysis of human kinome complexes (Markku Varjosalo, Audrey van Drogen)
This project is part of  PhosphoNetX a project within SystemsX where we aim to systematically analyze mechanisms of information processing by human kinase and phosphatase systems.