Metalloproteomics: A new piece of the systems biology puzzle. Systems biology uses advanced analytical technology to study the complex chemistry of the living cell. Many cellular functions are the result of chemical reactions involving metalloproteins, which are notoriously difficult to study due to the weak bonds between metal and protein that is not normally amenable to traditional proteomic approaches. In partnership with the leading analytical manufacturer Agilent Technologies, this project ....Metalloproteomics: A new piece of the systems biology puzzle. Systems biology uses advanced analytical technology to study the complex chemistry of the living cell. Many cellular functions are the result of chemical reactions involving metalloproteins, which are notoriously difficult to study due to the weak bonds between metal and protein that is not normally amenable to traditional proteomic approaches. In partnership with the leading analytical manufacturer Agilent Technologies, this project aims to adapt and apply advanced mass spectrometry to the study of metalloproteins, developing new methods for studying hundreds of molecules in single experiments. Using the C. elegans model organism the project aims to showcase the importance of metals in biology and develop new solutions for the $2.9 billion proteomics industry.Read moreRead less
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
Tracking factor footprints to reveal the intricacy and control of translation initiation. Messenger ribonucleic acid (RNA) translation is required for all of life and knowledge of how it works is central to modern life sciences. This project will develop novel ways of studying translation, generating entirely new descriptions of its inner workings that may transform knowledge of gene function and its use in medical and biotechnological processes.
Improving clostridial toxoid production through molecular fermentation maps. This project aims to improve vaccine production by generating detailed molecular maps of fermentation which will be used to design superior fermentation processes with reduced cost. Toxoid vaccines, used routinely in the livestock industry to prevent animal-disease caused by pathogenic Clostridia, are produced using batch fermentation processes. These processes have undergone limited optimisation over the past five deca ....Improving clostridial toxoid production through molecular fermentation maps. This project aims to improve vaccine production by generating detailed molecular maps of fermentation which will be used to design superior fermentation processes with reduced cost. Toxoid vaccines, used routinely in the livestock industry to prevent animal-disease caused by pathogenic Clostridia, are produced using batch fermentation processes. These processes have undergone limited optimisation over the past five decades. Low titres and frequent batch failures greatly affect capital use and represent a significant cost. In addition, current optimisation approaches are limited by the use of expensive and noisy endpoint assays. This project aims to use high-throughput chemistry (multi-omics) that overcome these limitations.Read moreRead less
Decision-making modules in protein interaction networks. This project aims to discover how cells use proteins to make decisions. This is important for all living things, which must react to stimuli to grow, adapt, defend themselves and to die. The project’s anticipated outcome is the systems-level identification of decision-making modules in an intracellular network. Its focus is on the smallest possible modules, which contain a decision-making protein with two modifications that control protein ....Decision-making modules in protein interaction networks. This project aims to discover how cells use proteins to make decisions. This is important for all living things, which must react to stimuli to grow, adapt, defend themselves and to die. The project’s anticipated outcome is the systems-level identification of decision-making modules in an intracellular network. Its focus is on the smallest possible modules, which contain a decision-making protein with two modifications that control protein-proteins interactions. It will investigate two recurrent decision-making modules. The expected benefits of the project include new means to decipher biological complexity, and targets to modulate biosystems by genome editing or with drugs.Read moreRead less
Advanced solar powered hydrogen production systems based on green algal cells. This project aims to enhance the efficiency of solar powered hydrogen production from water and will facilitate the co-production of H2 and oil through microalgal biofuel systems. This frontier science project will therefore deliver a process with high solar conversion efficiency and will deliver multiple product streams increasing profitability.
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.
The role and regulation of protein methylation: a study using the recently developed methylation network of yeast. Tiny changes to proteins, such as methylation, can alter the way they interact with other proteins. This project will investigate the dynamics of protein methylation during the life of the yeast cell. The project results will be of long term relevance to situations where we may want to stop cells dividing, such as cancer or infectious disease.
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.