Empirical inference of topology and plasticity in cancer signalling networks (#28)
Signalling pathways driven by the activity of lipid and protein kinases regulate key cell biological functions. Such pathways form complex networks of biochemical reactions that decode and integrate a multitude of inputs from the cell environment in order to produce an appropriate response. The topology of signalling networks has been inferred from experimental data collated from different studies using computational methods. As a complementary approach to network biology, this presentation will discuss our efforts in using empirical data (from MS-based phosphoproteomics) to infer signalling network topology de novo and without a preconception of how such networks may be wired in specific cell types. Studies in which this approach was used to investigate network plasticity in cancer will also be presented