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
Exploring new tools in nonlinear filtering and control. The conceptual advances with new design rules to be developed in the area of nonlinear filtering and control. Major benefits of this project will be its direct applications to state estimation and control problems in automobile, manufacturing, military hardware and medical device industries, and its increased capacity of contact research.
3'UTR switching in eukaryotic cells. The project aims to uncover conserved features fundamental to the mechanism and function of post-transcriptional gene-expression control. RNA systems interface the executive functions of DNA and the worker functions of proteins. mRNA often dictates the level, timing and location of protein synthesis. This project will use RNA-sequencing and bespoke bioinformatics to probe global RNA-dynamics. Mixing yeast-genetics with RNA-technologies, it focuses on 3’ untra ....3'UTR switching in eukaryotic cells. The project aims to uncover conserved features fundamental to the mechanism and function of post-transcriptional gene-expression control. RNA systems interface the executive functions of DNA and the worker functions of proteins. mRNA often dictates the level, timing and location of protein synthesis. This project will use RNA-sequencing and bespoke bioinformatics to probe global RNA-dynamics. Mixing yeast-genetics with RNA-technologies, it focuses on 3’ untranslated region (UTR) dynamics in eukaryotic cell biology. This project expects to significantly advance the understanding of eukaryotic gene function and gene regulation, critical in an age of personalised genomic medicine.Read moreRead less
Reliable and efficient algorithms for modelling dynamical systems from data. Mathematical and computational models are increasingly important in diverse areas of science and engineering including aircraft and automotive design, robotics, medical sensing, and biology. However, finding an accurate model remains a difficult task. This project will develop new methods to reliably find highly accurate models from recorded data.
A New Approach to High-Performance Control of Nonlinear Systems. The coming generation of robots are highly mobile and will interact significantly with their environment, each other, and human collaborators. However, this leads to highly coupled nonlinear dynamical behaviour, and achieving accurate and reliable control of these systems is pushing current control theory to breaking point. This project aims to develop a new approach to control of nonlinear systems based on contraction theory and c ....A New Approach to High-Performance Control of Nonlinear Systems. The coming generation of robots are highly mobile and will interact significantly with their environment, each other, and human collaborators. However, this leads to highly coupled nonlinear dynamical behaviour, and achieving accurate and reliable control of these systems is pushing current control theory to breaking point. This project aims to develop a new approach to control of nonlinear systems based on contraction theory and convex optimisation, extending the power of optimisation-based control from linear to non-linear systems. The project is expected to lead to new theoretical developments, constructive algorithms and software, and experimental demonstrations on a range of platforms including bipedal walking robots and underwater robots.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101728
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
The regulation and evolution of posttranscriptional gene networks. The ability of cells to regulate gene expression is key for organism development, adaptation to new environments and evolutionary changes that shape the diversity of life on Earth. This project studies the RNA binding proteins called PUFs which are central for gene expression in diverse organisms. Using cutting-edge new generation systems biology approaches, this project will study how PUF proteins regulate genes to enable metabo ....The regulation and evolution of posttranscriptional gene networks. The ability of cells to regulate gene expression is key for organism development, adaptation to new environments and evolutionary changes that shape the diversity of life on Earth. This project studies the RNA binding proteins called PUFs which are central for gene expression in diverse organisms. Using cutting-edge new generation systems biology approaches, this project will study how PUF proteins regulate genes to enable metabolic adaptation, differentiation of cell types and the evolution of new gene expression outputs in distinct biological species. The outcomes will include new insights into the regulation and evolution of posttranscriptional gene networks. Read moreRead less
Estimation of Complex Networked Dynamic Systems. An essential part of science and engineering is the development of mathematical models to describe how observed quantities relate to one another. For example, such models have proven to be extremely powerful in predicting the value of financial instruments, in providing high performance control of robots, and in detecting faults or changes in petrochemical processing plants. Constructing these models based on measurements from the system itself is ....Estimation of Complex Networked Dynamic Systems. An essential part of science and engineering is the development of mathematical models to describe how observed quantities relate to one another. For example, such models have proven to be extremely powerful in predicting the value of financial instruments, in providing high performance control of robots, and in detecting faults or changes in petrochemical processing plants. Constructing these models based on measurements from the system itself is known as system identification. This project is directed at developing new system identification methods for situations that, on the one hand, have previously been considered unsolvable, and on the other, are acknowledged as being of high practical interest.Read moreRead less
Engineering improved and multifunctional gene editing systems. Advances in genome editing have enabled the targeted modulation of gene expression in cells and provided new tools for biotechnology. This project will combine computational design and genetic selection to deliver the next generation of precision gene editing tools. These new technologies can be used for modification of genes in any cellular compartment and will be useful for understanding and improving energy metabolism. Increased c ....Engineering improved and multifunctional gene editing systems. Advances in genome editing have enabled the targeted modulation of gene expression in cells and provided new tools for biotechnology. This project will combine computational design and genetic selection to deliver the next generation of precision gene editing tools. These new technologies can be used for modification of genes in any cellular compartment and will be useful for understanding and improving energy metabolism. Increased cellular energy production can be harnessed to make valuable biological products, with unprecedented efficiency.Read moreRead less
Cooperative control of networked systems with constraints. This project aims to address the challenge of networked systems in deploying teams of robotic agents. Control of the networked system is extremely difficult due to real world constraints imposed on each agent. This project will focus on motion constraints, equipment/capability constraints, and spatial constraints. In addition to theoretical advances, the wider scientific community will benefit directly, because the control algorithms dev ....Cooperative control of networked systems with constraints. This project aims to address the challenge of networked systems in deploying teams of robotic agents. Control of the networked system is extremely difficult due to real world constraints imposed on each agent. This project will focus on motion constraints, equipment/capability constraints, and spatial constraints. In addition to theoretical advances, the wider scientific community will benefit directly, because the control algorithms developed are expected to allow straightforward deployment of robotic teams. There are myriad applications for cooperative robotic agents, ranging from surveillance, to environmental monitoring using underwater and aerial drone formations – with an array of benefits and impacts including economic, commercial and societal. The results are intended to ensure and cement Australia’s front-line position in the current technological revolution known as “Industry 4.0”.Read moreRead less
Information consensus and coordination of multiagent systems. Revolutions in information and communication technologies create a complex 'network of everything'. This project will develop advanced control techniques for such networks, to make the nation's power systems safer, to fly formations of unmanned airborne vehicles, and to extract key information from networks of environmental monitoring sensors.