Discovery Early Career Researcher Award - Grant ID: DE140101268
Funder
Australian Research Council
Funding Amount
$386,820.00
Summary
Stochastic mathematical modelling of the Wnt signalling pathway. The Wnt signalling pathway is pivotal in multicellular organisms, regulating cellular processes such as proliferation, apoptosis and migration. Faulty Wnt signalling is associated with degenerative diseases, developmental disorders and cancers and is therefore a potential target for therapeutic drugs. This project will perform a stochastic spatial simulation of the Wnt signalling pathway which will be matched to experimental data. ....Stochastic mathematical modelling of the Wnt signalling pathway. The Wnt signalling pathway is pivotal in multicellular organisms, regulating cellular processes such as proliferation, apoptosis and migration. Faulty Wnt signalling is associated with degenerative diseases, developmental disorders and cancers and is therefore a potential target for therapeutic drugs. This project will perform a stochastic spatial simulation of the Wnt signalling pathway which will be matched to experimental data. The model will be extended to integrate with the cell cycle. Increased proliferation in tumours has been linked to mutations in Wnt components. Using the extended model, the effect of Wnt-targeting therapeutic cancer drugs on cancer cell proliferation rates will be predicted and compared to experiments.Read moreRead less
Systems modelling of the cardiac fibroblast. The cardiac fibroblast is a specialised cell in the heart. New evidence shows that this cell type is central to heart function, but relatively little is known about how and why. This project will develop mathematical modelling to characterise how the cardiac fibroblast regulates the functioning of the adult heart.
Systems-level characterization of scaffold protein signalling networks. The PEAK family of cell signalling scaffolds regulate cellular responses critical for normal development and physiology. This project will adopt a ‘holistic’ approach to characterizing their mechanism and function, integrating experimental and mathematical approaches and developing predictive computational models. It aims to generate fundamental new knowledge in cell, computational and synthetic biology with broad relevance ....Systems-level characterization of scaffold protein signalling networks. The PEAK family of cell signalling scaffolds regulate cellular responses critical for normal development and physiology. This project will adopt a ‘holistic’ approach to characterizing their mechanism and function, integrating experimental and mathematical approaches and developing predictive computational models. It aims to generate fundamental new knowledge in cell, computational and synthetic biology with broad relevance that will foster establishment of new international linkages. This research will also identify strategies for engineering novel scaffolds that re-program cellular behaviour towards specific, applied outcomes, with potential benefit for the fields of synthetic biology, bioengineering and biotechnology.Read moreRead less
Defining the molecular switches that govern discrete cellular fates. This project aims to elucidate how mammalian cells exploit the same molecular machinery to perform completely distinct jobs. While the repurposing of proteins by cells seems widespread, the mechanisms by which this occurs remains largely undefined. The project expects to generate new knowledge in the areas of cell signalling and systems biology, with important implications for many multi-functional proteins. It will utilise a h ....Defining the molecular switches that govern discrete cellular fates. This project aims to elucidate how mammalian cells exploit the same molecular machinery to perform completely distinct jobs. While the repurposing of proteins by cells seems widespread, the mechanisms by which this occurs remains largely undefined. The project expects to generate new knowledge in the areas of cell signalling and systems biology, with important implications for many multi-functional proteins. It will utilise a highly innovative and interdisciplinary approach that tightly integrates mathematical modelling and biological experiments. The expected outcomes will aid strategies for reprogramming cells towards a desired phenotype, which will bring significant benefits to the fields of synthetic biology and bioengineering.Read moreRead less