About ApoNET

Understanding complex biological pathways and networks on a systems level requires knowledge of its units, structures and temporal processes. The ApoNET research project aims at developing computational models to reconstruct the dynamic regulation of signalling networks. Supported by the transnational funding initiative ERASysBio+, it combines the scientific expertise of three European project partners in high-throughput biology, computational modeling and translational research.

Making use of recent technological advancements we will investigate signalling pathway structures in normal and malignantly transformed liver cells. Liver cancer is one of the most common forms of cancer worldwide. Therapeutic options are still limited, because tumour cells often become resistant to conventional drugs - mostly as they fail to undergo programmed cell death (apoptosis). The network of signalling cascades determining whether a cell enters the apoptotic pathway or survives is complex and only partially understood. Our project aims at shedding more light onto these processes and their dysregulation in cancer by developing improved statistical models based on gene regulatory networks.

As a result we will be able to reconstruct time-resolved signalling networks on a systems level and to identify critical steps in pathway regulation as potential targets for therapeutic intervention. Our study should provide new insight into principal mechanisms of inflammation-induced tumourigenesis and reveal how drug resistance can be overcome in a tumour-specific manner. It will also establish the next generation of computational pathway modelling methods as a tool to reconstruct complex signalling networks.

The project partners designed a brochure, which you can download here as pdf version. If you contact us, we can also send you a hard copy.