Uncovering microRNA decay regulation in mammalian cells. MicroRNAs (miRNAs) constitute a novel mechanism used by cells to regulate gene expression, however, very little is known about the mechanisms affecting miRNA accumulation. Characterisation of the kinetics of miRNA turnover is of paramount importance to establish the reliability of miRNAs as novel biomarkers. This project aims to characterise miRNA stability in mammalian cells, investigate mechanisms of turnover and establish their importan ....Uncovering microRNA decay regulation in mammalian cells. MicroRNAs (miRNAs) constitute a novel mechanism used by cells to regulate gene expression, however, very little is known about the mechanisms affecting miRNA accumulation. Characterisation of the kinetics of miRNA turnover is of paramount importance to establish the reliability of miRNAs as novel biomarkers. This project aims to characterise miRNA stability in mammalian cells, investigate mechanisms of turnover and establish their importance on the regulatory function of miRNAs. Such information is critical in the future development of targeted therapeutics.Read moreRead less
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
Understanding somatic mutation in plants: new methods, new software, new data. Somatic mutations accumulate as plants grow, affecting everything from short-term ecological interactions to long-term evolutionary dynamics. These mutations have important consequences for plant industry and conservation, but because they are so hard to measure almost nothing is known about them. This project aims to develop new methods and software to detect, analyse, and compare the genome-wide history of somatic m ....Understanding somatic mutation in plants: new methods, new software, new data. Somatic mutations accumulate as plants grow, affecting everything from short-term ecological interactions to long-term evolutionary dynamics. These mutations have important consequences for plant industry and conservation, but because they are so hard to measure almost nothing is known about them. This project aims to develop new methods and software to detect, analyse, and compare the genome-wide history of somatic mutation in individual plants, providing an unprecedented level of detail into an important but understudied source of biological variation. By applying these methods to an iconic experimental population, This project aims to provide the first insights into the genome-wide causes and consequences of somatic mutation in plants.Read moreRead less
Coupling biophotonic modalities with machine based recognition systems for disease diagnosis. This project will develop new ways to diagnose canine cancer, malaria and atherosclerosis using infrared-based technology and sophisticated pattern recognition techniques in the hope to discover infrared biomarkers that will lead to early diagnosis of the disease and ultimately save lives.
Dissecting endocardial signals required for cardiac muscle regeneration in zebrafish. Unlike humans, zebrafish have an extraordinary ability to regenerate their damaged hearts. This project will study the endocardium, a thin layer of cells lining the inner heart, to find important genes for regeneration. Results from this study may provide insights into proper repair of human hearts after injury.
The molecular interactome and functions of circular RNAs. This project aims to identify the functions of circular RNAs, the most contemporary and enigmatic family of RNA molecules. While their abundance suggests they are important, it is unclear how they function at the molecular level. This project aims to delineate circular RNA function by systematically identifying their interacting partners at the DNA, RNA and protein levels, the so-called molecular interactome. This project will reprogram e ....The molecular interactome and functions of circular RNAs. This project aims to identify the functions of circular RNAs, the most contemporary and enigmatic family of RNA molecules. While their abundance suggests they are important, it is unclear how they function at the molecular level. This project aims to delineate circular RNA function by systematically identifying their interacting partners at the DNA, RNA and protein levels, the so-called molecular interactome. This project will reprogram embryonic stem cells to model developmental processes and is designed to validate circular RNA research. Together, the benefits include a higher-quality research workforce by mentoring students, refining fundamental tenets of RNA biology and may extend to improving health in the long-term.Read moreRead less
Next-generation techniques for analysing massive data sets. To process enormous amounts of data, leading computing companies are turning to modern computing frameworks, for which little theory of efficient computational techniques has been developed. This project will resolve key theoretical questions and provide fast techniques for poorly understood pattern recognition and bioinformatics problems.
Developing methods for the analysis of massively parallel sequencing data in family studies. This project will develop analytical methods to use the latest, high-throughput method of generating sequencing data, i.e. the letters of the human genome alphabet. These tools will be used to identify the causal mutations in families with inherited disorders, leading to diagnostic tests for these families.
Elucidating the genetics of attention deficit hyperactivity disorder by integrating pathway and prediction analyses. Attention deficit hyperactivity disorder (ADHD) is the most common psychiatric disorder in children; while treatments are available they are ineffective for many patients. This project will develop methods for predicting genetic effects at the level of the biological mechanism to assist in identifying new drug targets and behavioural interventions.
RNA-based analysis for prediction of islet death in diabetes. Death of insulin-producing cells is a common feature in diabetes. Presently, a blood glucose test remains the only blunt instrument to diagnose diabetes. The RNA-based analysis for prediction of islet death in diabetes (RAPID) study links with eight clinical trials to test this newly developed non-invasive assay for predicting diabetes. Early diagnosis will help to reduce diabetic complications in later life.