(2004) Schoeberl, Birgit; Gilles, Ernst Dieter (Prof. Dr.-Ing. Dr. h.c. mult.)
In this work we apply mathematical modeling to signal transduction networks in mammalian cells. In particular, we have developed models for a survival pathway, the EGF induced MAP kinase cascade and an apoptotic signal trans-duction network the TNF receptor crosstalk. The models presented here are based on and were validated with own experimental data.
In the field of signal transduction the major proteins involved and their interactions are fairly well known and biochemically characterized . One characteristic of signal transduction networks is that they are highly interconected by positive and negative feedbacks. Therefore, the dynamics of these networks can not be understood by intuition alone. Mathematical modeling has proven to be a valuable tool in engineering that deals effectively with complexity.
In both casese were able to verify hypotheses, which were obtained by the models, experimentally. This work shows that mathematical modeling in combination with quantitative experimental data can give new insights into the potential mechanisms of intracellular signal transduction and regulation.
