Understanding mutation and genetic reassortment in viruses: new mathematical models of viral dynamics and evolution. This project aims to understand how evolutionary processes and ecological conditions combine to ignite and sustain viral epidemics. Using novel mathematical models and statistical methods we will study the manner in which viral genes mutate and are recombined, as well as the rates of these important forces.
Understanding the dynamics of T cell responses to chronic infection. The health, social, and economic impact of chronic infections on the Australian and global populations is enormous. A major obstacle to the development of vaccines against chronic infections is that we have a poor understanding of immune responses to persistent infections. We aim to use bioinformatics and mathematical modelling to understand immune responses to persistent viruses so that we can improve the long-term immune cont ....Understanding the dynamics of T cell responses to chronic infection. The health, social, and economic impact of chronic infections on the Australian and global populations is enormous. A major obstacle to the development of vaccines against chronic infections is that we have a poor understanding of immune responses to persistent infections. We aim to use bioinformatics and mathematical modelling to understand immune responses to persistent viruses so that we can improve the long-term immune control of chronic viral infections such as the human immunodeficiency virus (HIV). This project will strengthen Australian research in the area of interdisciplinary approaches to immunology, which is becoming crucial to interpreting the rapidly increasing volume of data obtained using advanced experimental techniques.Read moreRead less
T cell recognition and control of virus: the balance between T cell receptor diversity and degeneracy. T cells provide an important line of defence in the immune system's resistance against infectious diseases. However, changes to the T cell population during prolonged infection, and with age, can compromise the immune system's ability to fight effectively viral infections. The proposed research will greatly improve our understanding of the recognition and control of viral infections by T cells. ....T cell recognition and control of virus: the balance between T cell receptor diversity and degeneracy. T cells provide an important line of defence in the immune system's resistance against infectious diseases. However, changes to the T cell population during prolonged infection, and with age, can compromise the immune system's ability to fight effectively viral infections. The proposed research will greatly improve our understanding of the recognition and control of viral infections by T cells. The insights gained from this research will enable us to exploit key features of T cell responses to improve the outcome of viral infections in elderly individuals and to develop better vaccines for protection against a range of infectious diseases that affect the Australian population, including HIV and Hepatitis C.Read moreRead less
Understanding the T cell repertoire in health and disease. Immune recognition of viruses usually involves a large number of different 'killer T cells' that kill cells infected by virus. However, during prolonged infection or in the elderly the number of different killer T cells that recognise the virus is greatly reduced. This reduction in the diversity of the immune response allows the virus to avoid immune recognition, and leads to more severe infection. We aim to understand how diversity is ....Understanding the T cell repertoire in health and disease. Immune recognition of viruses usually involves a large number of different 'killer T cells' that kill cells infected by virus. However, during prolonged infection or in the elderly the number of different killer T cells that recognise the virus is greatly reduced. This reduction in the diversity of the immune response allows the virus to avoid immune recognition, and leads to more severe infection. We aim to understand how diversity is generated in the immune response, and how it becomes narrowed with age or prolonged infection. This information can be used to design vaccines for persistent infections such as HIV, and to improve immune control of infection in the elderly.Read moreRead less
Microbial natural history and molecular evolution. This project aims to develop mathematical and computational models of microbial evolution that capture dynamics at both within-host and between-host scales, combined with processes of mutation. Integration of these elements with computational statistical methods will produce a framework that will enable inference from genome sequencing data. The mathematical models will be applied to bacterial genomic data to investigate how natural selection ac ....Microbial natural history and molecular evolution. This project aims to develop mathematical and computational models of microbial evolution that capture dynamics at both within-host and between-host scales, combined with processes of mutation. Integration of these elements with computational statistical methods will produce a framework that will enable inference from genome sequencing data. The mathematical models will be applied to bacterial genomic data to investigate how natural selection acts on experimental and natural populations of microorganisms. The mathematical models and statistical approaches developed here are intended to be applicable to infectious disease of both humans and domesticated animals, and could influence public health policies.Read moreRead less
Real-time analysis of tumour-infiltrating T cells using novel analytical tools. By dynamic visualization of immune cells within intact tumours, we have shown that active screening for target cells optimises their anti-tumour effect. This project will develop novel mathematical/analytical tools to unravel the basic strategies that enable immune cells to position themselves at the right location at the right time.