Skeletal Muscle Signal Transduction Related To Exercise, Metabolic Disease And Human Health
Funder
National Health and Medical Research Council
Funding Amount
$557,298.00
Summary
Exercise is one of the best prevention and treatment strategies for all major human diseases. Despite these well documented advantages, we still do not know exactly how exercise produces these benefits at the molecular level. A comprehensive understanding of this will lead to new avenues to treat many diseases. This project will monitor thousands of molecular changes that occur in human muscle biopsies following exercise and create the world’s first molecular blueprint of exercise.
The cell is the building block of life. This proposal focusses on the surface of the cell, the plasma membrane, and specialised structures called caveolae that are an abundant feature of animal cells. Altered caveolae are a feature of many human disease conditions. In this proposal we will address the function of caveolae. We will test the idea that proteins are released from caveolae into the cell when cells are stressed forming a novel signalling pathway disrupted in disease.
Studies Of Cullin 5 Deficiency For Novel Insights Into SOCS Redundancy And Specificity
Funder
National Health and Medical Research Council
Funding Amount
$658,571.00
Summary
Cytokines are hormones that regulate blood cell production and function. The research proposed in this application focuses on the biological roles and biochemical mechanisms of action of an important family of proteins that control the actions of cytokines, thereby allowing their beneficial effects in coordinating oxygen transport, blood clotting and responses to infection, while preventing the harmful effects of excess responses, such as myeloproliferative diseases or autoimmunity.
Tyrosine Kinase Signalling Networks In Pancreatic Cancer: Relevance To Therapeutic Response And Biomarker Development
Funder
National Health and Medical Research Council
Funding Amount
$789,934.00
Summary
Pancreatic cancer is a devastating disease characterized by a lack of effective treatments and biomarkers that identify the best way to treat individual patients. By identifying a novel basis for pancreatic cancer subclassification using cutting edge techniques, we aim to identify therapeutic strategies that can be directed to pancreatic cancer patients in a subgroup-selective manner to ultimately lead to reductions in the morbidity and mortality associated with this devastating disease.