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.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
Systems Biology Of Asthma Development In Early Childhood
Funder
National Health and Medical Research Council
Funding Amount
$763,800.00
Summary
Recent studies have established that both human genetic susceptibility and viral infections during early childhood are important drivers of asthma development. It has also been noted that asthmatics’ airways are colonized with different bacteria to non-asthmatics. In this project we will examine how genetic susceptibility and interactions between bacteria and viruses in children's airways promote the development of allergy and asthma.
Understanding The Pathogenesis, Phenotypic Variation And Risk Prediction Of Childhood Asthma Using Computational Approaches
Funder
National Health and Medical Research Council
Funding Amount
$122,714.00
Summary
Asthma is a common respiratory illness in Australia. It is important to be able to predict who gets asthma, because those who get early treatment tend to fare better. We plan to run complex tests on data collected from hundreds of Australian children. The collected data includes genetic variations, chest infections, and differences in immune responses. From this data we hope to achieve a better understanding of the driving forces behind asthma, and to make better predictions for those at risk.
Integrative Genomics And Prediction Of Cardiovascular Disease
Funder
National Health and Medical Research Council
Funding Amount
$766,820.00
Summary
Technologies that measure whole molecular systems are just beginning to reveal the complexity of living organisms and the underlying molecular networks that govern them. Cardiovascular diseases emerge out of these networks as a result of genetic and molecular perturbations. This project aims to characterize the role molecular networks play in cardiovascular disease risk as well as how they react to genetic risk factors. In doing so, it will identify potential therapeutics and personalized approa ....Technologies that measure whole molecular systems are just beginning to reveal the complexity of living organisms and the underlying molecular networks that govern them. Cardiovascular diseases emerge out of these networks as a result of genetic and molecular perturbations. This project aims to characterize the role molecular networks play in cardiovascular disease risk as well as how they react to genetic risk factors. In doing so, it will identify potential therapeutics and personalized approaches to target pathogenesis.Read moreRead less
System Biology Approaches To Uncovering Non-coding RNAs' Roles In Characterising Cancer Subtypes
Funder
National Health and Medical Research Council
Funding Amount
$318,768.00
Summary
I aim to investigate non-coding RNAs (ncRNAs)’ roles in cancer development, and how they characterise cancer subtypes. The outcomes of the proposed research are twofold: computational methods to stratify tumor subtypes and computational methods to identify groups of ncRNAs acting as drivers for each cancer subtype. The research outcomes will enable prediction of new patients’ cancer subtypes and contribute to the design of efficient treatment therapies.
Molecular Regulation Of Eosinophil Production: A Basis For Intervention In Inflammatory Disease
Funder
National Health and Medical Research Council
Funding Amount
$609,281.00
Summary
Eosinophils are rare blood cells that play a key role in the pathology of asthma and other inflammatory diseases. Asthma afflicts hundreds of millions of people worldwide, and excess eosinophils are common in many patients. We aim to define the cells involved in eosinophil development, and we will use cutting-edge technologies to identify new eosinophil regulators that may serve as drug targets or as novel entry points for development of therapeutics for asthma or other inflammatory diseases.
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.