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Australian State/Territory : QLD
Research Topic : Predictive Modelling
Status : Declined
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  • Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE240100793

    Funder
    Australian Research Council
    Funding Amount
    $463,180.00
    Summary
    Unraveling a new cytokine working model in immune cell exhaustion. This project will investigate a novel paradigm of how a key messenger protein can be sensed by fundamental immune cells, preventing their ‘exhaustion’. Immune cell exhaustion is a fundamental mechanism to maintain the internal homeostasis of vertebrates. However, it is often hijacked by pathogens to dampen the defensive capacity of the immune system. And this specific messenger protein is the only known soluble factor that can d .... Unraveling a new cytokine working model in immune cell exhaustion. This project will investigate a novel paradigm of how a key messenger protein can be sensed by fundamental immune cells, preventing their ‘exhaustion’. Immune cell exhaustion is a fundamental mechanism to maintain the internal homeostasis of vertebrates. However, it is often hijacked by pathogens to dampen the defensive capacity of the immune system. And this specific messenger protein is the only known soluble factor that can deliver ‘anti-exhaustion’ signals to immune cells. This study will advance basic knowledge in biochemistry and immunology by combining interdisciplinary and cutting-edge approaches. The expected outcomes include the developing new scientific theories and identifying novel molecular basis of biological processes.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE160100293

    Funder
    Australian Research Council
    Funding Amount
    $372,000.00
    Summary
    Cracking the phosphoinositide code. This project seeks to determine how protein interactions with membrane lipids regulate recruitment to cellular organelles, providing new insight into the complex pathways of cellular homeostasis. Controlling the distribution of proteins within cells is critical for cell signalling and membrane trafficking. This is orchestrated by the interaction of specific protein modules with lipids on the surface of different organelles. The phox homology (PX) domain is a l .... Cracking the phosphoinositide code. This project seeks to determine how protein interactions with membrane lipids regulate recruitment to cellular organelles, providing new insight into the complex pathways of cellular homeostasis. Controlling the distribution of proteins within cells is critical for cell signalling and membrane trafficking. This is orchestrated by the interaction of specific protein modules with lipids on the surface of different organelles. The phox homology (PX) domain is a lipid-binding module found in numerous proteins essential for normal cell trafficking and homeostasis, and perturbed in many conditions including immune dysfunction and cancer. This project plans to investigate molecular determinants of PX-lipid association, generating knowledge about protein-membrane interactions required for cellular function. These insights may underpin future drug design.
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    Funded Activity

    Early Career Industry Fellowships - Grant ID: IE230100578

    Funder
    Australian Research Council
    Funding Amount
    $355,208.00
    Summary
    Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and ar .... Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and artificial intelligence (AI) to improve the accuracy of satellite-based soil C modelling. The project will provide an accurate and cost-effective solution to quantification of soil C changes to unlock a large potential of carbon offsets in rangelands in Australia and worldwide.
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