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Australian State/Territory : QLD
Field of Research : Biological Mathematics
Research Topic : SIGNAL
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  • Funded Activity

    Discovery Projects - Grant ID: DP0450790

    Funder
    Australian Research Council
    Funding Amount
    $225,000.00
    Summary
    Membrane Proteins within the Mouse Transcriptome- Annotation of their Organisation and Subcellular Localisation. A major issue in cell biology today is how distinct regions of the cell maintain their unique composition of proteins. The aim of this grant is to identify membrane proteins within the mouse genome and annotate their localisation within the cell. Our multi-discipline effort will combine extensive computational prediction strategies with focused cellular biology experimental determinat .... Membrane Proteins within the Mouse Transcriptome- Annotation of their Organisation and Subcellular Localisation. A major issue in cell biology today is how distinct regions of the cell maintain their unique composition of proteins. The aim of this grant is to identify membrane proteins within the mouse genome and annotate their localisation within the cell. Our multi-discipline effort will combine extensive computational prediction strategies with focused cellular biology experimental determination. The underpinning experimental technology, termed reverse transfection arrays, allows for high-throughput assessment of cellular phenotype properties for individual proteins.
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    Funded Activity

    Discovery Projects - Grant ID: DP0771627

    Funder
    Australian Research Council
    Funding Amount
    $704,742.00
    Summary
    Spatio-temporal modelling of Ras dependent MAP kinase activation. This project is at the heart of the national research priority 'Frontier Technologies for Building and Transforming Australian Industries'. Using cutting edge methods and techniques of systems biology, coupled with innovative experimental molecular cell biology we will construct and simulate mathematical models of the EGF-regulated MAP kinase pathway. The project will yield new insights into the fundamental mechanisms of cell sign .... Spatio-temporal modelling of Ras dependent MAP kinase activation. This project is at the heart of the national research priority 'Frontier Technologies for Building and Transforming Australian Industries'. Using cutting edge methods and techniques of systems biology, coupled with innovative experimental molecular cell biology we will construct and simulate mathematical models of the EGF-regulated MAP kinase pathway. The project will yield new insights into the fundamental mechanisms of cell signal transduction that drive cell division, differentiation and transformation and may enable the design of new anticancer therapies. Importantly, the modelling and simulation methods developed in the project will have a general applicability to other complex systems such as sustainable ecological systems.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE140101268

    Funder
    Australian Research Council
    Funding Amount
    $386,820.00
    Summary
    Stochastic mathematical modelling of the Wnt signalling pathway. The Wnt signalling pathway is pivotal in multicellular organisms, regulating cellular processes such as proliferation, apoptosis and migration. Faulty Wnt signalling is associated with degenerative diseases, developmental disorders and cancers and is therefore a potential target for therapeutic drugs. This project will perform a stochastic spatial simulation of the Wnt signalling pathway which will be matched to experimental data. .... Stochastic mathematical modelling of the Wnt signalling pathway. The Wnt signalling pathway is pivotal in multicellular organisms, regulating cellular processes such as proliferation, apoptosis and migration. Faulty Wnt signalling is associated with degenerative diseases, developmental disorders and cancers and is therefore a potential target for therapeutic drugs. This project will perform a stochastic spatial simulation of the Wnt signalling pathway which will be matched to experimental data. The model will be extended to integrate with the cell cycle. Increased proliferation in tumours has been linked to mutations in Wnt components. Using the extended model, the effect of Wnt-targeting therapeutic cancer drugs on cancer cell proliferation rates will be predicted and compared to experiments.
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