Molecular Dissection Of Aberrant IL6/gp130 And TGF? Signaling In The Pathogenesis Of Interstitial Pneumonitis
Funder
National Health and Medical Research Council
Funding Amount
$590,009.00
Summary
Interstitial pneumonia (IP) is frequently observed in the group of lung diseases which affect the transfer of oxygen from inhaled air into the bloodstream. Current treatments for these diseases only effectively manage patient’s symptoms but don’t cure patients of IP. We have developed a strategy to identify the exact cell type responsible for an acute IP and the molecular intermediates that may offer novel treatments and pave the way for a possible cure for this disease.
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