Hidden complexity in microRNA function. This project aims to determine the extent to which microRNAs function through “non-canonical” mechanisms within cell nuclei, how their roles are expanded by naturally occurring sequence variation and how their activity is controlled by little known families of genes that sequester and inhibit their availability. The knowledge generated is significant as microRNAs regulate the expression of virtually all genes and biological processes, yet these mechanisms ....Hidden complexity in microRNA function. This project aims to determine the extent to which microRNAs function through “non-canonical” mechanisms within cell nuclei, how their roles are expanded by naturally occurring sequence variation and how their activity is controlled by little known families of genes that sequester and inhibit their availability. The knowledge generated is significant as microRNAs regulate the expression of virtually all genes and biological processes, yet these mechanisms of function remain poorly characterised and seldom considered. The expected outcome of better understanding mechanisms through which microRNAs work should provide significant benefit to safe and effective development of microRNAs for future agricultural or therapeutic application.Read moreRead less
How does the noncoding genome regulate gene expression in the human brain? The non-coding genome is recognized as a major player in orchestrating gene expression in higher eukaryotes. This project aims to identify regions of the human genome that are important for gene expression during neuronal differentiation and depolarisation (i.e. neural enhancers), and to investigate their evolutionary properties. The roles of non-coding DNA in regulating the dynamic gene expression patterns underlying com ....How does the noncoding genome regulate gene expression in the human brain? The non-coding genome is recognized as a major player in orchestrating gene expression in higher eukaryotes. This project aims to identify regions of the human genome that are important for gene expression during neuronal differentiation and depolarisation (i.e. neural enhancers), and to investigate their evolutionary properties. The roles of non-coding DNA in regulating the dynamic gene expression patterns underlying complex human brain functions remains to be elucidated. By combining transcriptome quantification and bioinformatics methods, this project will close an important knowledge gap in our understanding of transcriptional regulation underlying human brain function. This will provide benefits such as the potential to influence public health policy including in cognitive functions and aging.Read moreRead less
Dissecting cell cycle regulation using programmable gene editing technology. This program aims to harness the unprecedented power of CRISPR-Cas13 gene-editing technology to develop high-throughput tools to explore the role of RNA regulation in cell cycle control. This project expects to generate new knowledge about cell division and RNA biology by utilizing this new technology and applying interdisciplinary approaches. Expected outcomes of this proposal include new research tools capable of broa ....Dissecting cell cycle regulation using programmable gene editing technology. This program aims to harness the unprecedented power of CRISPR-Cas13 gene-editing technology to develop high-throughput tools to explore the role of RNA regulation in cell cycle control. This project expects to generate new knowledge about cell division and RNA biology by utilizing this new technology and applying interdisciplinary approaches. Expected outcomes of this proposal include new research tools capable of broadly addressing biological questions across multiple disciplines (e.g. from health to food production). This project intends to provide significant benefits, such as enhanced biological knowledge, multidisciplinary training opportunities and will build Australia’s capability in this rapidly expanding field.Read moreRead less
Decoding miRNA regulated genetic circuits. This project will aim to develop a much better understanding of how the process of making proteins from genes is regulated, and will develop scientific software capable of predicting how a cell will respond to changes in this regulation. The results will have widespread use, including assistance in deciding the best treatments for genetic diseases.
Exploring novel coding genomic features through integrative proteogenomics. Knowledge of the full extent to which the human genome is made into proteins is of fundamental importance in the study of health and disease. New technological advances are now enabling functional studies of genomes with increasing detail. This project aims to develop and apply cutting edge bioinformatics methods to perform an integrative and comprehensive exploration of the extent to which the genes of a human cell line ....Exploring novel coding genomic features through integrative proteogenomics. Knowledge of the full extent to which the human genome is made into proteins is of fundamental importance in the study of health and disease. New technological advances are now enabling functional studies of genomes with increasing detail. This project aims to develop and apply cutting edge bioinformatics methods to perform an integrative and comprehensive exploration of the extent to which the genes of a human cell line are made into proteins. The project will improve our understanding of the human genome and deliver cutting edge methodology applicable for genome annotation in all living organisms.Read moreRead less
Developing bioinformatics methods for single cell transcriptomics. This project aims to develop novel bioinformatics methods for single cell transcriptomic data that seek to model variability in cell populations. The project expects to generate new approaches using Bayesian statistics that will act as high-end enablers of discovery in transcriptional regulatory processes. Through an interdisciplinary combination of experimental and computational research, insights into fundamental biological pro ....Developing bioinformatics methods for single cell transcriptomics. This project aims to develop novel bioinformatics methods for single cell transcriptomic data that seek to model variability in cell populations. The project expects to generate new approaches using Bayesian statistics that will act as high-end enablers of discovery in transcriptional regulatory processes. Through an interdisciplinary combination of experimental and computational research, insights into fundamental biological processes will be elucidated, specifically the robustness of cellular systems. Expected outcomes include a suite of novel tools that will push the boundaries of current bioinformatics solutions with potential to deliver significant benefits to every domain of biological science, particularly tissue engineering and synthetic biology.Read moreRead less