The recirculation of myeloid dendritic cells. This project aims to understand dendritic cell recirculation. It will use virological tools to track dendritic cell migration, and identify key decision points. Expected outcomes include enhanced capacity in basic research and greater interdisciplinary collaboration between virology and immunology research groups. Significant benefits will include a new understanding of how G protein coupled receptor signalling and other tissue cues guide dendritic c ....The recirculation of myeloid dendritic cells. This project aims to understand dendritic cell recirculation. It will use virological tools to track dendritic cell migration, and identify key decision points. Expected outcomes include enhanced capacity in basic research and greater interdisciplinary collaboration between virology and immunology research groups. Significant benefits will include a new understanding of how G protein coupled receptor signalling and other tissue cues guide dendritic cell recirculation, and what consequences the recirculation has for immune cell function. This understanding will significantly advance our basic understanding of the immune system.Read moreRead less
Complex dynamical systems: inferring form and function of interacting biological systems. Often in biology a large number of simple parts interacting according to simple rules can result in behaviour that is rich and varied. This project aims to develop the mathematics of complex systems theory to describe how such collections of simple interacting parts can form large complicated structures, and to deduce what dynamical behaviour can result.
Is FGF21 the master regulator of protein intake? The project plans to bring together two major, rapidly growing disciplines – nutritional geometry and metabolic signalling – to address a topic of fundamental biological significance: the regulation of protein intake. A specific capacity to regulate protein intake has been shown for organisms spanning slime moulds to humans, yet the controlling mechanisms remain elusive. The project aims to test the hypothesis that fibroblast growth factor 21, rel ....Is FGF21 the master regulator of protein intake? The project plans to bring together two major, rapidly growing disciplines – nutritional geometry and metabolic signalling – to address a topic of fundamental biological significance: the regulation of protein intake. A specific capacity to regulate protein intake has been shown for organisms spanning slime moulds to humans, yet the controlling mechanisms remain elusive. The project aims to test the hypothesis that fibroblast growth factor 21, released from the liver under low protein nutrition, is a master regulator of protein intake. Understanding the mechanisms of protein appetite may have implications for organismal biology, understanding social interactions, the structure of food webs and the health and welfare of food and companion animals and humans.Read moreRead less
High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes ....High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes include computational models of how the most infectious viral variants emerge and spread in presence of interventions, how to predict the outbreaks, and which are the most vulnerable communities. This should make a significant economic and social impact, improving population health while maintaining a resilient economy.Read moreRead less
System identification of microstructure in the brain using magnetic resonance. Magnetic Resonance Imaging technologies will be exploited to probe the microstructure of the brain, using powerful Bayesian optimisation techniques and innovative uses of magnetic resonance. The project will in particular develop non-invasive imaging methods to quantify iron content in the brain, important for research on dementia and Alzheimer's disease.
Dynamics of atherosclerotic plaque formation, growth and regression. This project aims to provide a mathematical framework to interpret plaque growth. Many biological processes contribute to the growth of atherosclerotic plaques inside arteries. Lipoproteins enter the artery walls and stimulate tissues to signal to cells which duly respond so that fatty streaks form and grow into dangerous plaques that cause heart attacks or stroke. These processes are often nonlinear and operate on widely varyi ....Dynamics of atherosclerotic plaque formation, growth and regression. This project aims to provide a mathematical framework to interpret plaque growth. Many biological processes contribute to the growth of atherosclerotic plaques inside arteries. Lipoproteins enter the artery walls and stimulate tissues to signal to cells which duly respond so that fatty streaks form and grow into dangerous plaques that cause heart attacks or stroke. These processes are often nonlinear and operate on widely varying time scales. The project plans to use systems of ordinary differential equations, partial differential equations with non-standard boundary conditions, and bifurcation theory to find how nonlinear processes shape plaque growth. The expected results may demonstrate the importance of bifurcations, dynamics and nonlinear systems in plaque growth and provide new models to interpret biological data.Read moreRead less
Unlocking the secrets of metabolic variation in a highly diverse bacterium. This project aims to explore metabolic diversity of Klebsiella pneumoniae, a bacterium relevant to the agricultural, veterinary, medical and biotechnology industries. It is expected to reveal significant insights into the biology of this diverse organism via an innovative combination of DNA sequence analyses and metabolic modelling. Expected outcomes include 4500 novel metabolic models and a novel population metabolic fr ....Unlocking the secrets of metabolic variation in a highly diverse bacterium. This project aims to explore metabolic diversity of Klebsiella pneumoniae, a bacterium relevant to the agricultural, veterinary, medical and biotechnology industries. It is expected to reveal significant insights into the biology of this diverse organism via an innovative combination of DNA sequence analyses and metabolic modelling. Expected outcomes include 4500 novel metabolic models and a novel population metabolic framework. This should provide major benefits for understanding bacterial ecology and evolution, and for future studies seeking to optimise industrial processes or prevent disease. It will also directly contribute to building Australia’s capacity in computational biology- a key driver of biotechnology innovation.Read moreRead less
Using venoms to map critical and evolutionary conserved vulnerabilities. We have developed and applied new functional genomic approaches to study venom evolution. Using CRISPR screening, we find that unrelated venoms act on cells by exploiting the same vulnerabilities. By functionally mapping these vulnerabilities for all venom classes, we can begin to develop universal venom antidotes. Conversely, much of what we know about venom mechanisms comes from a small percentage of the biodiversity with ....Using venoms to map critical and evolutionary conserved vulnerabilities. We have developed and applied new functional genomic approaches to study venom evolution. Using CRISPR screening, we find that unrelated venoms act on cells by exploiting the same vulnerabilities. By functionally mapping these vulnerabilities for all venom classes, we can begin to develop universal venom antidotes. Conversely, much of what we know about venom mechanisms comes from a small percentage of the biodiversity within a venom, and we have developed genomic tools to study the venom “dark matter”. This work will lead to the full molecular characterisation of venom biodiversity, and new venom components will be useful for research or as novel medicines.Read moreRead less
Transcription factor – enhancer – promoter based regulatory networks. This project aims to develop new understanding on how multicellular organisms (including humans) develop, and how mutations in distant regions of the genome can affect human traits. The way the human genome is interpreted by the cellular machinery is still a mystery. We have a reference sequence and know where the majority of coding genes are, but we are far from understanding how the genome is regulated to generate the divers ....Transcription factor – enhancer – promoter based regulatory networks. This project aims to develop new understanding on how multicellular organisms (including humans) develop, and how mutations in distant regions of the genome can affect human traits. The way the human genome is interpreted by the cellular machinery is still a mystery. We have a reference sequence and know where the majority of coding genes are, but we are far from understanding how the genome is regulated to generate the diversity of cell types in our bodies. Enhancer regions interact with proximal promoters to regulate gene expression level and tissue-specificity. This project aims to develop transcriptional regulatory network models using high throughput chromatin interaction data and expression perturbation to link promoter and enhancers genome-wide.Read moreRead less