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Field of Research : Genetics
Status : Active
Research Topic : tissue response patterns
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP210104029

    Funder
    Australian Research Council
    Funding Amount
    $529,215.00
    Summary
    How do transcription factors control cell fate transitions? The aim of this project is to determine how transcription factors control cellular identity, which is relevant to many biological processes including embryogenesis, cellular reprogramming and differentiation. Innovative genomic tools will be combined with various in vitro cellular conversion systems to generate fundamental mechanistic insight into how transcription factors mediate these identity changes. The knowledge gained from this w .... How do transcription factors control cell fate transitions? The aim of this project is to determine how transcription factors control cellular identity, which is relevant to many biological processes including embryogenesis, cellular reprogramming and differentiation. Innovative genomic tools will be combined with various in vitro cellular conversion systems to generate fundamental mechanistic insight into how transcription factors mediate these identity changes. The knowledge gained from this work will allow us to answer standing fundamental questions in regards to cell fate control and the biochemistry of transcription factors, which in turn will aid in the development of novel gene regulation technologies applicable to a myriad of fields and industries.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT180100674

    Funder
    Australian Research Council
    Funding Amount
    $918,125.00
    Summary
    Unveiling the epigenome dynamics through the pluripotency continuum. This project aims to utilise stem cells and genomics based technologies, in combination with new computational algorithms to dissect the fundamental molecular events that drive the first steps during development. The project is expected to unveil the basic mechanisms underpinning how genes driving the developmental master plan are controlled in cells that have the capacity to give rise to the whole organism and placenta. The kn .... Unveiling the epigenome dynamics through the pluripotency continuum. This project aims to utilise stem cells and genomics based technologies, in combination with new computational algorithms to dissect the fundamental molecular events that drive the first steps during development. The project is expected to unveil the basic mechanisms underpinning how genes driving the developmental master plan are controlled in cells that have the capacity to give rise to the whole organism and placenta. The knowledge gained from this work will inform and guide future novel approaches, such as in assisted reproductive technologies or regenerative medicine.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190103600

    Funder
    Australian Research Council
    Funding Amount
    $443,000.00
    Summary
    Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understan .... Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understanding of how decision-making evolves in healthy ageing, and a tool based on genetic scores and computational modelling to predict an individual's trajectory of cognitive function. This could help identify individuals who are at risk for cognitive decline, which could then inform better interventions.
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