Discovery Early Career Researcher Award - Grant ID: DE130101191
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Formation of the osteocyte network in bone matrix. The formation of new bone, which occurs throughout life for bone renewal and acutely after fractures, entraps a network of cells that can detect micro-damage and direct repair mechanisms. Mathematical and computational methods will be used to understand how this network can lead to a self-detecting and self-repairing biomaterial.
Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational appr ....Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational approaches that allow for integration of large-scale data with networks to predict metabolite concentration ranges. This will provide significant benefit with the aim of maintaining outstanding research in Australia, and has clear potential for improved human health and enhanced food quality via metabolic reprogramming.Read moreRead less
Stochastic modelling of telomere length regulation in ageing research. This project will design innovative stochastic models to explore the molecular mechanisms governing telomere length regulation and their critical roles in determining cell fate. Computer simulations will provide testable predictions regarding the crucial functions of noise in generating the heterogeneity of telomere length.
Systems modelling of the cardiac fibroblast. The cardiac fibroblast is a specialised cell in the heart. New evidence shows that this cell type is central to heart function, but relatively little is known about how and why. This project will develop mathematical modelling to characterise how the cardiac fibroblast regulates the functioning of the adult heart.
Systems-level characterization of scaffold protein signalling networks. The PEAK family of cell signalling scaffolds regulate cellular responses critical for normal development and physiology. This project will adopt a ‘holistic’ approach to characterizing their mechanism and function, integrating experimental and mathematical approaches and developing predictive computational models. It aims to generate fundamental new knowledge in cell, computational and synthetic biology with broad relevance ....Systems-level characterization of scaffold protein signalling networks. The PEAK family of cell signalling scaffolds regulate cellular responses critical for normal development and physiology. This project will adopt a ‘holistic’ approach to characterizing their mechanism and function, integrating experimental and mathematical approaches and developing predictive computational models. It aims to generate fundamental new knowledge in cell, computational and synthetic biology with broad relevance that will foster establishment of new international linkages. This research will also identify strategies for engineering novel scaffolds that re-program cellular behaviour towards specific, applied outcomes, with potential benefit for the fields of synthetic biology, bioengineering and biotechnology.Read moreRead less
Phylodynamics for Single Cell Genomics . This project generates the mathematical framework required to look at single cell data in developmental systems and tissues. All cells in a multi-cellular organism derive from a single ancestral cell, generally the fertilised egg cell. Phylodynamics provides a framework to analyse and model this data, by connecting the shared ancestry of cells in an organism to the cell population and tissue dynamics. By developing the mathematical and statistical foundat ....Phylodynamics for Single Cell Genomics . This project generates the mathematical framework required to look at single cell data in developmental systems and tissues. All cells in a multi-cellular organism derive from a single ancestral cell, generally the fertilised egg cell. Phylodynamics provides a framework to analyse and model this data, by connecting the shared ancestry of cells in an organism to the cell population and tissue dynamics. By developing the mathematical and statistical foundations for the analysis of single cell data in a phylodynamic framework we will establish a powerful new computational tools for the analysis of tissues and developmental processes. Read moreRead less
Defining the molecular switches that govern discrete cellular fates. This project aims to elucidate how mammalian cells exploit the same molecular machinery to perform completely distinct jobs. While the repurposing of proteins by cells seems widespread, the mechanisms by which this occurs remains largely undefined. The project expects to generate new knowledge in the areas of cell signalling and systems biology, with important implications for many multi-functional proteins. It will utilise a h ....Defining the molecular switches that govern discrete cellular fates. This project aims to elucidate how mammalian cells exploit the same molecular machinery to perform completely distinct jobs. While the repurposing of proteins by cells seems widespread, the mechanisms by which this occurs remains largely undefined. The project expects to generate new knowledge in the areas of cell signalling and systems biology, with important implications for many multi-functional proteins. It will utilise a highly innovative and interdisciplinary approach that tightly integrates mathematical modelling and biological experiments. The expected outcomes will aid strategies for reprogramming cells towards a desired phenotype, which will bring significant benefits to the fields of synthetic biology and bioengineering.Read moreRead less
Mathematical Modelling of the Mechanobiology of Arterial Plaque Growth. Plaque growth is a chronic inflammatory response induced by the interactions between endothelial cells, lipids, monocytes/macrophages, smooth muscle cells and platelets in the arteries. It involves many different biological processes, such as lipid deposition, inflammation and angiogenesis, and their interactions with the microcirculation. To understand the underlying mechanobiology, we propose to develop a mathematical mode ....Mathematical Modelling of the Mechanobiology of Arterial Plaque Growth. Plaque growth is a chronic inflammatory response induced by the interactions between endothelial cells, lipids, monocytes/macrophages, smooth muscle cells and platelets in the arteries. It involves many different biological processes, such as lipid deposition, inflammation and angiogenesis, and their interactions with the microcirculation. To understand the underlying mechanobiology, we propose to develop a mathematical model to interpret plaque growth by integrating these dynamic biological processes. It will offer a systematic rational understanding of plaque growth. New models will be provided to better interpret biological data and contribute to our knowledge in quantifying complex biological mechanisms during growth and development.Read moreRead less