Rapid Pathogen Detection using Super-Sensitive Multiplexing Nanophotonic Probes. Responding to an urgent need to advance rapid molecular diagnostics, this project aims to explore new photonics and biochemistry approaches to DNA recognition. It is anchored on proprietary light-emitting nanodots which have single-molecule sensitivity in conjunction with tunable optical identities. The project aims to develop a multiplexing reagent library of DNA probes to sense trace DNA molecules and to recognise ....Rapid Pathogen Detection using Super-Sensitive Multiplexing Nanophotonic Probes. Responding to an urgent need to advance rapid molecular diagnostics, this project aims to explore new photonics and biochemistry approaches to DNA recognition. It is anchored on proprietary light-emitting nanodots which have single-molecule sensitivity in conjunction with tunable optical identities. The project aims to develop a multiplexing reagent library of DNA probes to sense trace DNA molecules and to recognise multiple pathogens in a single assay. This innovation aims to create a hybrid-Polymerase Chain Reaction (PCR) technology platform for current industry-standard pathogen detection tests. The outcomes of the project aim to enable DNA based pathogen diagnostics within 90 minutes, four times faster than the current tests.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100525
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
Mucus control: Applying concepts from bacteriophage-mucus interactions. This project aims to examine how mucus-adherent bacteriophage interact with bacteria in mucus as a mechanism to manipulate microbiomes. Bacterial infections at mucosal surfaces in animals are a serious global health threat. Traditionally antibiotics have been used to curb mucosal infections, but antibiotic resistance means new therapies are urgently needed. Bacteriophage – viruses that infect bacteria – can kill bacteria and ....Mucus control: Applying concepts from bacteriophage-mucus interactions. This project aims to examine how mucus-adherent bacteriophage interact with bacteria in mucus as a mechanism to manipulate microbiomes. Bacterial infections at mucosal surfaces in animals are a serious global health threat. Traditionally antibiotics have been used to curb mucosal infections, but antibiotic resistance means new therapies are urgently needed. Bacteriophage – viruses that infect bacteria – can kill bacteria and might provide a layer of antimicrobial immunity in animal mucus. The anticipated outcomes are resolving how bacteriophage control bacteria within mucus, and applying concepts to bioengineer mucosal microbiomes.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101728
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
The regulation and evolution of posttranscriptional gene networks. The ability of cells to regulate gene expression is key for organism development, adaptation to new environments and evolutionary changes that shape the diversity of life on Earth. This project studies the RNA binding proteins called PUFs which are central for gene expression in diverse organisms. Using cutting-edge new generation systems biology approaches, this project will study how PUF proteins regulate genes to enable metabo ....The regulation and evolution of posttranscriptional gene networks. The ability of cells to regulate gene expression is key for organism development, adaptation to new environments and evolutionary changes that shape the diversity of life on Earth. This project studies the RNA binding proteins called PUFs which are central for gene expression in diverse organisms. Using cutting-edge new generation systems biology approaches, this project will study how PUF proteins regulate genes to enable metabolic adaptation, differentiation of cell types and the evolution of new gene expression outputs in distinct biological species. The outcomes will include new insights into the regulation and evolution of posttranscriptional gene networks. Read moreRead less
Screening platforms for malaria drug discovery: identification of new therapeutics. Innovative image based technologies will be developed to identify molecules which stop malaria parasite growth and its transmission to the mosquito host. As more resistance is emerging against the current drugs of choice, new molecules acting through different mechanisms are urgently needed.
Enabling aerosol delivery of phages to defeat antibiotic-resistant bacteria. This project aims to explore the use of bacteriophages towards producing a safe, natural, and highly effective alternative to traditional antibiotics. Respiratory infections caused by multidrug-resistant Gram-negative bacteria are a major health problem worldwide, and cost Australia over $150 million annually. Some 5,000 Australians die each year from antibiotic resistant infections. The project aims to produce efficac ....Enabling aerosol delivery of phages to defeat antibiotic-resistant bacteria. This project aims to explore the use of bacteriophages towards producing a safe, natural, and highly effective alternative to traditional antibiotics. Respiratory infections caused by multidrug-resistant Gram-negative bacteria are a major health problem worldwide, and cost Australia over $150 million annually. Some 5,000 Australians die each year from antibiotic resistant infections. The project aims to produce efficacious and stable formulations of bacteriophages for easy delivery by inhalation as aerosols with a long shelf-life, making them a commercially viable product. The expected research outcome can lead to an economic and efficient technology to produce phage powders for novel treatment strategies of infections by inhalation.Read moreRead less
The protein O-glycosylation pathway of Neisseria: a model system for O-glycosylation of bacterial proteins with potential use in biotechnology. Proteins can be modified by the addition of sugar molecules. This process, called glycosylation, has been studied for some time in humans and other higher organisms, but is relatively new in the field of bacteria. This study will use the bacterium Neisseria as a model system for this process and work to harness the system for use in biotechnology.
Nanoengineered gradient substrata as a novel approach for understanding infection mechanisms. This project will advance our understanding of how bacteria colonise surfaces and will also inform the development of novel antibacterial coatings and diagnostic tools for device-associated infections, which have a significant impact on patients and are a huge burden to the healthcare system.
Mathematical and statistical methods for modelling invivo pathogen dynamics. This project aims to develop mathematical models and Bayesian statistical methods that better capture how natural defence responses and drugs help control infection. When viruses (e.g. influenza) or parasites (e.g. malaria) invade the human body, they begin to replicate. To date, only simple mathematical models have been developed to capture these processes, and these models are not well formulated. This project will im ....Mathematical and statistical methods for modelling invivo pathogen dynamics. This project aims to develop mathematical models and Bayesian statistical methods that better capture how natural defence responses and drugs help control infection. When viruses (e.g. influenza) or parasites (e.g. malaria) invade the human body, they begin to replicate. To date, only simple mathematical models have been developed to capture these processes, and these models are not well formulated. This project will improve biomathematics and biostatistical algorithms for pathogen dynamics and is ultimately expected to benefit public health and clinical research aimed at alleviating the effect of infectious diseases on human health.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100785
Funder
Australian Research Council
Funding Amount
$345,491.00
Summary
Mathematical and statistical modelling of antimalarial drug action. This project aims to develop a mathematical model to optimise global antimalarial treatment policy. Malaria-causing parasites are resistant to the most potent antimalarial drug available. If left unaddressed, a catastrophic rise in global malaria incidence and mortality could occur. Changes to global antimalarial treatment policy increasingly rely on mathematical models, but they do not encompass recent breakthroughs in antimala ....Mathematical and statistical modelling of antimalarial drug action. This project aims to develop a mathematical model to optimise global antimalarial treatment policy. Malaria-causing parasites are resistant to the most potent antimalarial drug available. If left unaddressed, a catastrophic rise in global malaria incidence and mortality could occur. Changes to global antimalarial treatment policy increasingly rely on mathematical models, but they do not encompass recent breakthroughs in antimalarial drug action and the immune response. This project’s model is expected to improve antimalarial drug dosing regimens and control the spread of antimalarial drug resistance.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.