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Field of Research : Genetics
Research Topic : Veterinary Diagnostics
Australian State/Territory : NSW
Status : Closed
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  • Researchers (22)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0990067

    Funder
    Australian Research Council
    Funding Amount
    $370,000.00
    Summary
    Functional Genomics to Predict and Enhance Response to Interferon. The increasing number and huge cost impost of new therapies to health providers, both worldwide and nationally, has not yet resulted in a concomitant increase in strategies to optimise their use. Many of the new therapies are proteins (recombinant human proteins or humanised monoclonal antibodies). The improved use of one of Australia's most expensive commonly used protein drugs, pegylated interferon ribavirin (Peg-IFN-R), could .... Functional Genomics to Predict and Enhance Response to Interferon. The increasing number and huge cost impost of new therapies to health providers, both worldwide and nationally, has not yet resulted in a concomitant increase in strategies to optimise their use. Many of the new therapies are proteins (recombinant human proteins or humanised monoclonal antibodies). The improved use of one of Australia's most expensive commonly used protein drugs, pegylated interferon ribavirin (Peg-IFN-R), could potentially produce savings to the Pharmaceutical Benefits Scheme (PBS), and improve delivery of healthcare to thousands of Australians.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668507

    Funder
    Australian Research Council
    Funding Amount
    $260,000.00
    Summary
    Real time PCR and nanoparticle diagnostic facilities for high-throughput quantitative analysis of genomic structure and gene expression. Modern molecular tools have lead to an explosion in genome projects and unification of all areas of biology. The most basic need for such research is access to improving technologies for detecting DNA fingerprints that distinguish genetically-diverse genes, and determining which genes are "switched on" or 'off' in various situations. Real time PCR technology, .... Real time PCR and nanoparticle diagnostic facilities for high-throughput quantitative analysis of genomic structure and gene expression. Modern molecular tools have lead to an explosion in genome projects and unification of all areas of biology. The most basic need for such research is access to improving technologies for detecting DNA fingerprints that distinguish genetically-diverse genes, and determining which genes are "switched on" or 'off' in various situations. Real time PCR technology, pioneered by The University of Queensland (UQ) and Southern Cross University (SCU) using ARC funding in 1996, is now the technology of choice for much of this research. This project will provide high-throughput equipment for real time PCR, and will develop complementary high-throughput "nanoparticle" DNA genotyping technologies, with applications to medicine and agriculture.
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    Funded Activity

    Discovery Projects - Grant ID: DP140103260

    Funder
    Australian Research Council
    Funding Amount
    $482,000.00
    Summary
    From the pouch to the grave: age and sex related changes in immunity in the Tasmanian devil. Tasmanian devils face extinction in the wild due to the emergence of a contagious cancer: Devil Facial Tumour Disease (DFTD). A comprehensive understanding of the devil immune system is necessary to better understand the disease and develop a vaccine against it. This project will characterise immune responses of healthy devils throughout life, from the pouch, to onset of puberty, to old age. This project .... From the pouch to the grave: age and sex related changes in immunity in the Tasmanian devil. Tasmanian devils face extinction in the wild due to the emergence of a contagious cancer: Devil Facial Tumour Disease (DFTD). A comprehensive understanding of the devil immune system is necessary to better understand the disease and develop a vaccine against it. This project will characterise immune responses of healthy devils throughout life, from the pouch, to onset of puberty, to old age. This project will then compare these responses in DFTD-affected devils to determine why DFTD affects older animals first and does not affect sexually-immature devils. Additional outcomes will include the development of novel antibiotics against human and animal diseases and an atlas of devil development using the latest imaging technologies.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT110100254

    Funder
    Australian Research Council
    Funding Amount
    $816,756.00
    Summary
    RNA-based analysis for prediction of islet death in diabetes. Death of insulin-producing cells is a common feature in diabetes. Presently, a blood glucose test remains the only blunt instrument to diagnose diabetes. The RNA-based analysis for prediction of islet death in diabetes (RAPID) study links with eight clinical trials to test this newly developed non-invasive assay for predicting diabetes. Early diagnosis will help to reduce diabetic complications in later life.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT160100229

    Funder
    Australian Research Council
    Funding Amount
    $719,313.00
    Summary
    Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat .... Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.
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