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Australian State/Territory : QLD
Field of Research : Bioinformatics
Research Topic : CELL MATURATION
Australian State/Territory : VIC
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  • Funded Activity

    Linkage Projects - Grant ID: LP150100137

    Funder
    Australian Research Council
    Funding Amount
    $241,564.00
    Summary
    Novel antimicrobial target discovery by an integrated approach. The project aims to uncover the molecular targets of BDM-I, a novel antimicrobial candidate discovered by the start-up Australian company BioDiem Ltd. BDM-I is active against many drug resistant bacterial and fungal microorganisms and it is currently in pre-clinical development. However, the lack of resistant phenotypes makes it difficult to identify BDM-I’s mechanism of action. The project plans to use an integrated approach that c .... Novel antimicrobial target discovery by an integrated approach. The project aims to uncover the molecular targets of BDM-I, a novel antimicrobial candidate discovered by the start-up Australian company BioDiem Ltd. BDM-I is active against many drug resistant bacterial and fungal microorganisms and it is currently in pre-clinical development. However, the lack of resistant phenotypes makes it difficult to identify BDM-I’s mechanism of action. The project plans to use an integrated approach that combines a novel technique of in silico screening with experimental validation. Project outcomes are anticipated to include the first computational method to integrate target and ligand similarity for proteome-scale target and off-target discovery, which will advance the global fight against drug-resistant microorganisms.
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    Funded Activity

    Discovery Projects - Grant ID: DP180101405

    Funder
    Australian Research Council
    Funding Amount
    $615,502.00
    Summary
    Genetic variation of single cell transcriptional heterogeneity in HiPSCs. This project aims to investigate whether induced pluripotent stem cells (iPSC) can be used to study the functions of genetic variants associated with human phenotypes and cell fate decisions. The project will utilise technology to produce single cell RNA sequence data for 100,000s of cells. By sequencing individual cells, the genetic control of cellular heterogeneity both within and between cells can be identified, and in .... Genetic variation of single cell transcriptional heterogeneity in HiPSCs. This project aims to investigate whether induced pluripotent stem cells (iPSC) can be used to study the functions of genetic variants associated with human phenotypes and cell fate decisions. The project will utilise technology to produce single cell RNA sequence data for 100,000s of cells. By sequencing individual cells, the genetic control of cellular heterogeneity both within and between cells can be identified, and in doing so, will provide significant benefit by revealing the potential for iPSC to be used for functional translation of human genomics.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT150100330

    Funder
    Australian Research Council
    Funding Amount
    $931,552.00
    Summary
    The systems biology of stem cells. Using new bioinformatic methods, this project aims to identify new classifiers of different stem cell populations, develop statistical models that address population heterogeneity and provide molecular predictors of the differentiation potential of stem cells. Understanding, predicting and directing the processes of differentiation are major goals in the disciplines of stem cell biology, developmental biology, tissue engineering and regenerative medicine. Molec .... The systems biology of stem cells. Using new bioinformatic methods, this project aims to identify new classifiers of different stem cell populations, develop statistical models that address population heterogeneity and provide molecular predictors of the differentiation potential of stem cells. Understanding, predicting and directing the processes of differentiation are major goals in the disciplines of stem cell biology, developmental biology, tissue engineering and regenerative medicine. Molecular atlas projects have successfully revealed rules of genome output and regulation, by mining patterns that are evident across multiple cell types and datasets. By applying this philosophy to relevant, well-curated stem cell experiments, this project aims to create new methods for the integration and interrogation of smaller individual datasets. These methods should have broad utility and enable new avenues in tissue engineering.
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