Photoreversible hydrogels to study stem cell memory and fate. This project will develop materials whose stiffness can be reversibly increased and decreased by the simple application of light, and use these to build knowledge of how stem cell fate is regulated. The influence of mechanical cues on the structure and organisation of the nucleus will be determined. Expected outcomes are new synthetic and light-reversible culture materials, and fundamental insights into how forces change the nucleus t ....Photoreversible hydrogels to study stem cell memory and fate. This project will develop materials whose stiffness can be reversibly increased and decreased by the simple application of light, and use these to build knowledge of how stem cell fate is regulated. The influence of mechanical cues on the structure and organisation of the nucleus will be determined. Expected outcomes are new synthetic and light-reversible culture materials, and fundamental insights into how forces change the nucleus to alter stem cell aging and fate. The findings will provide critical information required for the future development of assays to measure cell potency and instructive biomaterials to drive stem cell expansion and tissue-regeneration and will have impact by underpinning future advances in stem cell technologies.Read moreRead less
Micro/nano smart surfaces to unlock the potential of multipotent stem cells. This project aims to determine the interplay of micro/nanostructures on stem cell mechanotransduction and to control the cellular environment. It is expected that this will expand our knowledge on how to control stem cell fate. Expected outcomes are novel scalable technologies for micro/nanostructures and smart surfaces, controlled stem-cell expansion and differentiation, and the creation of a library of protein express ....Micro/nano smart surfaces to unlock the potential of multipotent stem cells. This project aims to determine the interplay of micro/nanostructures on stem cell mechanotransduction and to control the cellular environment. It is expected that this will expand our knowledge on how to control stem cell fate. Expected outcomes are novel scalable technologies for micro/nanostructures and smart surfaces, controlled stem-cell expansion and differentiation, and the creation of a library of protein expression based on the cell interactions. These outcomes will provide critical information required for the future development of instructive biomaterials to drive stem cell expansion and tissue-regeneration. Those materials should benefit the future development of efficient and cost-effective regenerative medicine solutions.Read moreRead less
Controlling the adhesome to regulate cell fate on biomaterials. Mesenchymal stem cell-based tissue engineering practices are hampered worldwide by the lack of appreciation and understanding of the matrix-mediated cues that must be provided during adhesion and spreading to drive cells to definitive tissue end points. This project will address these knowledge deficiencies by combining high throughput array technologies, a set of tailorable self-assembling biomaterials and real-time biosensors to r ....Controlling the adhesome to regulate cell fate on biomaterials. Mesenchymal stem cell-based tissue engineering practices are hampered worldwide by the lack of appreciation and understanding of the matrix-mediated cues that must be provided during adhesion and spreading to drive cells to definitive tissue end points. This project will address these knowledge deficiencies by combining high throughput array technologies, a set of tailorable self-assembling biomaterials and real-time biosensors to rapidly, at high resolution, elucidate how mechanotransductive cues determine the fate choice of mesenchymal stem cells, and furthermore, how to manipulate them with smart biomaterial design to achieve desired outcomes for tissue engineering. Read moreRead less
An anti-senescence nanoplatform and its underlying mechanism. The project will bring together complementary expertise and skills by combining biomaterials, cell and molecular biology, and engineering, to develop a novel nano-biomaterial platform for anti-senescence and gain an in-depth understanding of its underlying mechanisms. The underlying mechanisms of senescence remain elusive and bone substitutes with anti-senescence property have not been explored and becoming a growing field of interest ....An anti-senescence nanoplatform and its underlying mechanism. The project will bring together complementary expertise and skills by combining biomaterials, cell and molecular biology, and engineering, to develop a novel nano-biomaterial platform for anti-senescence and gain an in-depth understanding of its underlying mechanisms. The underlying mechanisms of senescence remain elusive and bone substitutes with anti-senescence property have not been explored and becoming a growing field of interest in bone regeneration. The project will develop a well-defined and efficient nanomaterial platform with optimal combination of nano-surface features and chemistry for cell rejuvenation, and it will give unprecedented depth of interdisciplinary understanding of senescence rejuvenation mechanisms.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100200
Funder
Australian Research Council
Funding Amount
$270,427.00
Summary
AutoStem: a high performance, automated stem cell bioengineering facility. This project aims to establish an automated stem cell bioengineering ("AutoStem") facility that will enable critical insights into the molecular mechanisms that underly the loss in stem cell function and tissue homeostasis as we age. The AutoStem facility expects to lead to the discovery of the key drivers of stem cell ageing and the development of novel technological solutions to maintain tissue function with age. The o ....AutoStem: a high performance, automated stem cell bioengineering facility. This project aims to establish an automated stem cell bioengineering ("AutoStem") facility that will enable critical insights into the molecular mechanisms that underly the loss in stem cell function and tissue homeostasis as we age. The AutoStem facility expects to lead to the discovery of the key drivers of stem cell ageing and the development of novel technological solutions to maintain tissue function with age. The outcomes produced from the AutoStem facility will have significant economic and social benefits in enabling healthy ageing and increased productivity for an ageing Australia.Read moreRead less
Generating multi-component scaffolding to influence the differentiation of embryonic stem cells. Nervous system diseases are debilitating and will develop in over 50 per cent of people at some time in their life. This project will develop strategies so that stem cells can be utilised to encourage brain repair for the treatment of Parkinson's disease. The technology developed will also be of benefit for the treatment of other nervous system disorders.
Evolutionary computation for expensive bilevel multiobjective problems. This project aims to develop an evolutionary computation framework to solve computationally expensive bilevel multiobjective problems. The research is fundamental in nature and will address key open challenges in solving such problems, including hierarchical decision-making, multiple performance criteria, uncertainties and computational expense. The proposed research has applications in diverse domains such as environmental ....Evolutionary computation for expensive bilevel multiobjective problems. This project aims to develop an evolutionary computation framework to solve computationally expensive bilevel multiobjective problems. The research is fundamental in nature and will address key open challenges in solving such problems, including hierarchical decision-making, multiple performance criteria, uncertainties and computational expense. The proposed research has applications in diverse domains such as environmental policy formulation, network design, engineering, defence and cybersecurity; offering significant benefits to the researchers and practitioners in these fields. In addition to research outputs, it will strengthen international collaboration and build research capacity to put Australia at the forefront of this research.
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Evolutionary computation for robust multi-objective engineering design. This project aims to develop an evolutionary computation framework for robust multi-objective design, a critical pursuit in engineering industries. Such problems are characterised by multiple conflicting performance objectives
and constraints which are highly nonlinear, often black-box, and prone to unavoidable real-life uncertainties. The existing evolutionary algorithms are often computationally impractical and have a numb ....Evolutionary computation for robust multi-objective engineering design. This project aims to develop an evolutionary computation framework for robust multi-objective design, a critical pursuit in engineering industries. Such problems are characterised by multiple conflicting performance objectives
and constraints which are highly nonlinear, often black-box, and prone to unavoidable real-life uncertainties. The existing evolutionary algorithms are often computationally impractical and have a number of fundamental
shortcomings which restrict their use in real applications. This project aims to investigate and overcome the underlying key challenges to advance knowledge and contribute towards diverse domains such as energy, transport and space research, helping deliver high quality robust designs.
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Learning deep resilient behaviour for uncertainty-aware autonomy. This research project aims to propose a novel framework for developing uncertainty-aware autonomous systems using deep learning. There are fundamental gaps in our knowledge of deep uncertainty quantification and its application for risk-aware decision making. Novel algorithms will be proposed to reliably generate deep uncertainty estimates with low computational overhead. These estimates will be then exploited by safety-critical s ....Learning deep resilient behaviour for uncertainty-aware autonomy. This research project aims to propose a novel framework for developing uncertainty-aware autonomous systems using deep learning. There are fundamental gaps in our knowledge of deep uncertainty quantification and its application for risk-aware decision making. Novel algorithms will be proposed to reliably generate deep uncertainty estimates with low computational overhead. These estimates will be then exploited by safety-critical systems such as autonomous robots to identify risky actions and avoid catastrophise. Developed algorithms will be implemented on an autonomous robotic system to make it averse to uncertainties. The outcomes will greatly increase reliable telerobotic applications in mining, manufacturing, defence, and health.Read moreRead less
Development of methods and algorithms to support multidisciplinary optimisation. This project will aim to develop a number of novel and computationally efficient schemes to deal with the key challenges facing multidisciplinary optimisation. These advancements will allow us to solve a number of challenging and intractable problems in science and engineering.