Pharmacology Of Potential Anti-Tumour Agents: Iron Chelators Of The BpT Class
Funder
National Health and Medical Research Council
Funding Amount
$585,455.00
Summary
Pharmacology of Potential Anti-Tumour Agents: Iron Chelators of the BpT Class Cancer cells have a high iron requirement for DNA synthesis and many clinical trials showed Fe chelators are effective anti-cancer drugs. Their potential to act as anti-tumour agents has been confirmed by the entrance of Triapine into widespread NCI clinical trials. In this NHMRC Renewal, we will perform pharmacological and preclinical studies to promote the development of BpT chelators as novel anti-tumour agents.
Adaptive Evolution of BRCA1 in Ancestral Mammals. This project investigates adaptive evolution of BRCA1 in the early radiation of mammals. We will test the hypothesis that the evolution of mammary glands and X chromosome inactivation has resulted in modification of the BRCA1 protein sequence as it aquired new roles in these processes. We will also investigate the importance of these changes inducing compensatory changes in other parts of the protein.
Inhibition Of IFN-?/? By Human Metapneumovirus And The Induction Of Inflammation
Funder
National Health and Medical Research Council
Funding Amount
$605,251.00
Summary
The newly isolated human metapneumovirus (hMPV) causes significant respiratory illness in infants, young children and the elderly. The virus can persist long-term and may predispose individuals to chronic lung disease. This proposal aims to determine the mechanisms by which hMPV infection causes respiratory disease, with a view to improving treatments and preventing disease.
Discovering mechanisms of primary embryonic tissue migration through live cell imaging and novel genetic approaches. The studies proposed here will provide concepts and knowledge about the molecular basis of cell migration that will impact on diverse aspects of human health, such as the causes and nature of tumour metastasis and our understanding of the developmental basis of birth defects. In addition, understanding cell migration mechanisms will allow us to better predict or control the behav ....Discovering mechanisms of primary embryonic tissue migration through live cell imaging and novel genetic approaches. The studies proposed here will provide concepts and knowledge about the molecular basis of cell migration that will impact on diverse aspects of human health, such as the causes and nature of tumour metastasis and our understanding of the developmental basis of birth defects. In addition, understanding cell migration mechanisms will allow us to better predict or control the behaviour of therapeutic stem cells introduced into the body.Read moreRead less
Clinical Review Of A Cohort Aged 22-33 Years Conceived Using Assisted Reproductive Technologies
Funder
National Health and Medical Research Council
Funding Amount
$946,454.00
Summary
In a recent study, using telephone-interviews, we compared the health and wellbeing of 547 singleton young adults born following assisted reproductive technologies (ART), with 549 matched controls. Reviewing their health when they are 22-33 years is possible because of their ongoing interest. We have a protocol in place to measure their cardiac and respiratory function and other aspects of growth and development. Our findings will fill a major knowledge gap about the longer term safety of ART.
Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results ....Design of dynamic visual signals. Models of the design of visual signals depend heavily upon analyses of static ornaments. Nothing is known about dynamic visual signals. We will use an array of new techniques to tackle this problem for the first time. Motion analyses will define the task faced by the visual system. Sensory limitations will be measured to identify constraints on signal evolution. Digital video playback studies will assess recognition and explain aspects of signal design. Results will test the generality of principles that have been developed in studies of female mate choice and extend these ideas to address intra-sexual selection operating through opponent assessment.Read moreRead less
The Role And Underlying Mechanisms Of Constitutional Epigenetic Silencing In Cancer Predisposition
Funder
National Health and Medical Research Council
Funding Amount
$218,617.00
Summary
Familial and young onset bowel and uterine cancer are usually caused by the inheritance of spelling mistakes in the genetic code within a set of cancer-protection genes. Recently, some patients were identified with their gene switched off by paralysing chemicals instead. This study aims to identify additional cancer cases with gene paralysis, determine if this arises in the presence or absence of a genetic change in front of the gene, and how gene paralysis is transmitted to the next generation.
A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extrac ....A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extractor for automatically extracting features, an optimiser for finding optimal parameters and non-iterative ensemble learning technique for classification of features into classes. The impact of this project will be automatic feature extractors and classifiers for real-world applications.Read moreRead less
Democratisation of Deep Learning: Neural Architecture Search at Low Cost. The need to manually design Deep Learning-based Neural Networks (DNNs) limits their usage to AI experts and hinders the exploitation of their true potential more broadly, e.g., in farming, humanities. We aim to replace this tedious process through novel AI methods capable of generating DNNs that can perform significantly better and at a lower computational cost than manually designed DNNs. We further expand this idea to so ....Democratisation of Deep Learning: Neural Architecture Search at Low Cost. The need to manually design Deep Learning-based Neural Networks (DNNs) limits their usage to AI experts and hinders the exploitation of their true potential more broadly, e.g., in farming, humanities. We aim to replace this tedious process through novel AI methods capable of generating DNNs that can perform significantly better and at a lower computational cost than manually designed DNNs. We further expand this idea to solve complex real-world problems with both labelled and unlabelled data found in various applications including energy and climate change. The expected outcomes include the novel AI methods, highly trained AI researchers and a number of critical applications that will bring significant benefits to Australia and the world.Read moreRead less