Targeting the genome and epigenome of the exercising skeletal muscle. This project aims is to discover epigenetic and genetic biomarkers that predict fitness changes, following exercise intervention. Individuals are remarkably variable in their responses to exercise interventions, and a large portion of these responses is attributed to genetics, and epigenetics (the effect of the environment on the expression of genes). Using controlled exercise training as a model, this project expects to disco ....Targeting the genome and epigenome of the exercising skeletal muscle. This project aims is to discover epigenetic and genetic biomarkers that predict fitness changes, following exercise intervention. Individuals are remarkably variable in their responses to exercise interventions, and a large portion of these responses is attributed to genetics, and epigenetics (the effect of the environment on the expression of genes). Using controlled exercise training as a model, this project expects to discover epigenetic and genomic markers in skeletal muscle predictive of exercise adaptations. This will contribute to the development and future delivery of targeted and personalised exercise programs for the general population. This has important implications for improving health in the Australian population.Read moreRead less
Can exercise slow down the epigenetic ageing clock? The aged population accounts for a significant amount of Australia’s health budget. This project aims to uncover novel molecular biomarkers that slow the ageing process and maintain good health for longer. This project aims to use innovative epigenetic analysis to study the molecular ‘clocks’ of young and old populations and to test whether exercise can slow the ageing process. This is expected to lead to a better understanding of how humans re ....Can exercise slow down the epigenetic ageing clock? The aged population accounts for a significant amount of Australia’s health budget. This project aims to uncover novel molecular biomarkers that slow the ageing process and maintain good health for longer. This project aims to use innovative epigenetic analysis to study the molecular ‘clocks’ of young and old populations and to test whether exercise can slow the ageing process. This is expected to lead to a better understanding of how humans respond to changing environments during their lifetime, and will underpin the development of evidence-based personalised health interventions to keep Australians healthier for longer.
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Multilevel selection and the integrity of mitochondrial DNA. This project aims to investigate the evolutionary conundrum of how and why organelles remain asexual. The widespread occurrence of sexual reproduction suggests that sex is beneficial to organisms. Yet we all carry an ancient genome that never had sex, the mitochondrial genome (mtDNA). Theory predicts that mtDNA should no longer exist, because without sex it accumulates deleterious mutations and cannot accumulate beneficial ones. Yet mt ....Multilevel selection and the integrity of mitochondrial DNA. This project aims to investigate the evolutionary conundrum of how and why organelles remain asexual. The widespread occurrence of sexual reproduction suggests that sex is beneficial to organisms. Yet we all carry an ancient genome that never had sex, the mitochondrial genome (mtDNA). Theory predicts that mtDNA should no longer exist, because without sex it accumulates deleterious mutations and cannot accumulate beneficial ones. Yet mtDNA does not suffer mutational meltdown and is shown to adapt. This project will explain how, proposing that the combination of two traits, uniparental inheritance and multiple genomes per cell, make up for the lack of sex. This project expects to provide an explanation for the evolutionary question of what keeps mitochondria healthy, important as mitochondria affect ageing and health.Read moreRead less
Improving the efficiency of CRISPR gene editing in cells. Human red blood cells are well-characterised and the globin gene locus is a model system for the study of gene regulation. Gene editing technologies and delivery tools are evolving rapidly and the globin gene locus is the perfect model for gene editing optimisation. This collaboration between UNSW Sydney and CSL aims to bring together our combined expertise and new technologies to develop an optimal platform for genetic modification in a ....Improving the efficiency of CRISPR gene editing in cells. Human red blood cells are well-characterised and the globin gene locus is a model system for the study of gene regulation. Gene editing technologies and delivery tools are evolving rapidly and the globin gene locus is the perfect model for gene editing optimisation. This collaboration between UNSW Sydney and CSL aims to bring together our combined expertise and new technologies to develop an optimal platform for genetic modification in a red blood cell line. Simultaneously, this project aims to generate fundamental insights into mechanisms of human gene regulation. The technological and biological outcomes of this project will be of benefit for future gene editing applications.Read moreRead less
Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is un ....Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is unknown. This is useful for selecting the best parents for breeding in agriculture and for predicting the future phenotype of animals, crops and people. The proposed method uses data on very many traits to identify sequence variants that have a function and to predict the traits affected by each variant.Read moreRead less