Molecular genetic analyses of trinucleotide repeat expansions. Several neuronal diseases like Huntington's disease, Frederick's ataxia and fragile X syndrome are caused by expansion of trinucleotide repeat sequences in the deoxyribonucleic acid (DNA). These diseases show progressive severity in subsequent generations. Here we use a simple plant model with a very similar DNA mutation to study the genetic basis of repeat expansions over several generations across populations. This proposal will im ....Molecular genetic analyses of trinucleotide repeat expansions. Several neuronal diseases like Huntington's disease, Frederick's ataxia and fragile X syndrome are caused by expansion of trinucleotide repeat sequences in the deoxyribonucleic acid (DNA). These diseases show progressive severity in subsequent generations. Here we use a simple plant model with a very similar DNA mutation to study the genetic basis of repeat expansions over several generations across populations. This proposal will improve our mechanistic understanding of genetic diseases in populations. In addition, this proposal is expected to lead to identification of potential targets and technologies that would be of interest to Australian industry.Read moreRead less
Genetic analysis of cohesin function and regulation in Drosophila. In yeast, a multiprotein complex, called cohesin, holds newly replicated chromatids together until the cell is ready to partition each chromatid into its daughter cells. We and others have shown that cohesins are regulated differently in animal cells. We propose to combine classical genetic analyses with two new and innovative techniques, time-lapse confocal microscopy of fluorescent proteins in living cells and gene-specific kno ....Genetic analysis of cohesin function and regulation in Drosophila. In yeast, a multiprotein complex, called cohesin, holds newly replicated chromatids together until the cell is ready to partition each chromatid into its daughter cells. We and others have shown that cohesins are regulated differently in animal cells. We propose to combine classical genetic analyses with two new and innovative techniques, time-lapse confocal microscopy of fluorescent proteins in living cells and gene-specific knockout techniques to study key cohesin regulators in Drosophila. These studies will provide us with novel insights into how multicellular organisms regulate the structure and stability of their chromosomes.Read moreRead less
Simulating viral evolution and genetic complexity. This project has direct relevance to understanding the growth of viral infections, and therefore has possible practical applications in disease research and control. Examples of these are emerging diseases in humans such as those caused by HIV-1, SARS coronavirus and Dengue virus, which cause considerable human suffering throughout the world. A major part of current research into these diseases involves attempts to model the evolutionary geneti ....Simulating viral evolution and genetic complexity. This project has direct relevance to understanding the growth of viral infections, and therefore has possible practical applications in disease research and control. Examples of these are emerging diseases in humans such as those caused by HIV-1, SARS coronavirus and Dengue virus, which cause considerable human suffering throughout the world. A major part of current research into these diseases involves attempts to model the evolutionary genetics and dynamics of virus populations in order to understand how to control epidemics, develop vaccines and design drugs. The research program is designed to provide new computational modelling tools for this purpose, which may have wider applications as well.
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Theory and applications of Bayesian and likelihood analyses for finite mixture, random effect and multinomial models. The expected outcomes of the project are: to establish the scientific
value of modern Bayesian methods for statistical inference in a wider
range of applications than previously available, to contribute to the greater unification of the current theories of statistical inference which are to some extent in conflict, and to provide a set of Bayesian analytic tools implemented in ....Theory and applications of Bayesian and likelihood analyses for finite mixture, random effect and multinomial models. The expected outcomes of the project are: to establish the scientific
value of modern Bayesian methods for statistical inference in a wider
range of applications than previously available, to contribute to the greater unification of the current theories of statistical inference which are to some extent in conflict, and to provide a set of Bayesian analytic tools implemented in widely available, free and open-source statistical software.
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