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Research Topic : Affective computing
Field of Research : Synthetic Biology
Australian State/Territory : WA
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  • Funded Activity

    Discovery Projects - Grant ID: DP170103000

    Funder
    Australian Research Council
    Funding Amount
    $457,000.00
    Summary
    Complexities of the mitochondrial transcriptome. This project aims to understand mitochondrial gene expression and energy production. Energy production is important for living things to grow and develop. In mammals, the mitochondria, the energy producing “powerhouses of the cell”, contain their own genetic assembly instructions. This project aims to understand these genetic instructions, revealing how genes control energy production. This project will characterise the genetic instructions, the m .... Complexities of the mitochondrial transcriptome. This project aims to understand mitochondrial gene expression and energy production. Energy production is important for living things to grow and develop. In mammals, the mitochondria, the energy producing “powerhouses of the cell”, contain their own genetic assembly instructions. This project aims to understand these genetic instructions, revealing how genes control energy production. This project will characterise the genetic instructions, the mitochondrial transcriptome and the proteins that control them. These advances are expected to provide a mechanistic understanding of how gene expression responds to changes in cellular energy demands. This knowledge will generate new biotechnological tools for Australian science and will have important long-term implications for improving agriculture and medicine
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210103954

    Funder
    Australian Research Council
    Funding Amount
    $550,000.00
    Summary
    Advancing programmable genetic computation to control plant gene activity. Plants can sense diverse internal and external conditions and integrate them to appropriately tune their response and maximize fitness. Plant biotechnology relies heavily on manipulating gene activity to change cell functions and confer advantageous agronomic traits. However, our ability to control plant gene activity remains rudimentary, limiting our biotechnology capabilities. This project aims to develop synthetic gene .... Advancing programmable genetic computation to control plant gene activity. Plants can sense diverse internal and external conditions and integrate them to appropriately tune their response and maximize fitness. Plant biotechnology relies heavily on manipulating gene activity to change cell functions and confer advantageous agronomic traits. However, our ability to control plant gene activity remains rudimentary, limiting our biotechnology capabilities. This project aims to develop synthetic gene logic gates in plants, to enable the construction of programmable genetically-encoded computational functions that can sense and process customizable inputs to drive desired changes in plant function. This advance will underpin useful applications in plant biotechnology such as improved crop stress tolerance and yield.
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