Computational Biology Branch
NCBI CBB Home Page T. Przytycka’s Research Group		Teresa M. Przytycka’s research group Algorithmic and Graph Theoretical methods in Computational and Systems Biology The crosstalk between EGF, IGF, and Insulin Cell Signaling Pathways – computational and experimental analysis Collaborators: Jacel Capala’s gorup, NCI
		We study the combined signaling network of three major pro-life signaling pathways: Epidermal Growth Factor (EGF), Insulin-like Growth Factor (IGF), and Insulin. Our study involves static analysis and dynamic modeling of this network, as well as an experimental verification of the model by measuring the response of selected signaling molecules to differential stimulation of EGF, IGF and insulin receptors. Preliminary results The crosstalk between EGF, IGF, and Insulin Cell Signaling Pathways – computational and experimental analysis Pawel F. Przytycki^1*, Rafal Zielinski^1, Teresa M. Przytycka^2, and Jacek Capala^1 proceedings of RECOMB System Biology Meeting, San Digeo, December 2007 To analyze topological properties of the combined networks we used two novel measures of the importance of a node in the context of such crosstalk. Based on these measures several molecules including Mitogen Activated Protein Kinase (MAPK) and Akt were selected for monitoring in the dynamic network simulation and for experimental studies. The experimental studies confirmed some but not all trends suggested by the simulations. This work provides the first step towards iterative experiment-computation modeling of the crosstalk between the three pathways.