Integrative Network Modelling to Advance Systems-level Understanding of Signalling Networks and Identify New Cancer Therapies

Cellular signalling pathways are responsible for receiving, integrating, and processing cellular cues to enact cellular responses. They are essential to the normal functioning of cells and their disruption leads to diseases. Mounting discoveries demonstrates these networks are highly complex and non-linear. A deep understanding of them, therefore, requires systems-based approaches that synergize computational modelling and experimental analyses. The PI3K and Hippo pathways are major signalling pathways that are dysregulated in cancer. The aim of this thesis is to gain a systems-level understanding of these pathways, and their crosstalk using a systems-based approach; and utilise that knowledge to design new therapies.