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Australian State/Territory : QLD
Research Topic : Microarray analysis
Status : Declined
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  • Funded Activity

    ARC Future Fellowships - Grant ID: FT220100713

    Funder
    Australian Research Council
    Funding Amount
    $1,083,986.00
    Summary
    Synthetic genes as reference standards for biology and biomanufacture. Reference standards are needed to improve the measurement of biology and the reliability of biomanufacturing processes. This project aims to engineer synthetic genes capable of acting as reference standards for DNA, RNA and protein. The synthetic genes can be transcribed into mRNA standards, and translated into protein standards, and be further integrated into living cells to measure internal cellular processes. The outcomes .... Synthetic genes as reference standards for biology and biomanufacture. Reference standards are needed to improve the measurement of biology and the reliability of biomanufacturing processes. This project aims to engineer synthetic genes capable of acting as reference standards for DNA, RNA and protein. The synthetic genes can be transcribed into mRNA standards, and translated into protein standards, and be further integrated into living cells to measure internal cellular processes. The outcomes include a unified understanding of gene expression and more accurate next-generation sequencing and mass-spectrophotometry technologies. The synthetic genes also allow standardisation and optimisation of biomanufacturing processes that will produce mRNA and biologics products at a higher purity and lower cost.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE160100614

    Funder
    Australian Research Council
    Funding Amount
    $363,612.00
    Summary
    Evolutionary genomics and origin of the molluscan biomineralisation toolkit. The project aims to use new genomes from understudied lineages of Mollusca to identify the genes involved in shell formation (biomineralisation) and infer their function and evolutionary history. The ability of molluscs to biofabricate intricate and robust skeletal structures from sea water is encoded in their genomes. Understanding the ancestral biomineralisation toolkit is of great interest to materials science, which .... Evolutionary genomics and origin of the molluscan biomineralisation toolkit. The project aims to use new genomes from understudied lineages of Mollusca to identify the genes involved in shell formation (biomineralisation) and infer their function and evolutionary history. The ability of molluscs to biofabricate intricate and robust skeletal structures from sea water is encoded in their genomes. Understanding the ancestral biomineralisation toolkit is of great interest to materials science, which seeks to replicate molluscan biomineralisation in vitro for biomedical and other applications. Understanding the toolkit is an important first step toward synthetic biology techniques to 'print' structures like bones in vitro. Moreover, new genomic resources from molluscs will be of interest to researchers in numerous fields.
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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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