Charging transition metals with activating alkanes. The project aims to engineer positively charged metal complexes and use them to explore the chemistry of bound activated alkane ligands. The transformation of cheap, plentiful alkanes into more valuable products is a major quest in chemistry, and complexes of alkanes bound to metals are expected to play a key role in transformations of alkanes. The project intends to use the activated metal bound alkane to transform the normally inert alkane in ....Charging transition metals with activating alkanes. The project aims to engineer positively charged metal complexes and use them to explore the chemistry of bound activated alkane ligands. The transformation of cheap, plentiful alkanes into more valuable products is a major quest in chemistry, and complexes of alkanes bound to metals are expected to play a key role in transformations of alkanes. The project intends to use the activated metal bound alkane to transform the normally inert alkane into compounds with desirable functional groups. This should make the synthesis of alkane complexes stable at room temperature in solution a realistic possibility. These cheap, plentiful alkanes can be turned into more valuable products, bringing benefits to industry.Read moreRead less
Decoding regulatory RNA function in bacteria. All complex biological processes in bacterial cells appear to utilise regulatory small RNAs to control gene expression, but we lack a systems-level understanding of their functions and mechanisms of control. This proposal aims to address this fundamental knowledge gap using machine learning and cutting-edge, systems-level techniques to determine how small RNA sequence and structure determines function. Small RNAs have been found to control a broad ra ....Decoding regulatory RNA function in bacteria. All complex biological processes in bacterial cells appear to utilise regulatory small RNAs to control gene expression, but we lack a systems-level understanding of their functions and mechanisms of control. This proposal aims to address this fundamental knowledge gap using machine learning and cutting-edge, systems-level techniques to determine how small RNA sequence and structure determines function. Small RNAs have been found to control a broad range of traits including metabolism, biofilm formation, antibiotic tolerance, and virulence. The work proposed here will enhance our ability to predict and control bacterial gene expression with potential future impacts on bioproduction, synthetic biology, and veterinary and medical microbiology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100850
Funder
Australian Research Council
Funding Amount
$402,252.00
Summary
Learning to read and understand complex words. This project aims to study the development of morphological reading skills from kindergarten through to high school, providing insights into the full spectrum of abilities required to move from novice to expert reader. Over 80 per cent of English words comprise multiple morphemes, but how children learn to read such complex words is not well understood. Understanding this key reading process will have the potential to inform reading instruction prac ....Learning to read and understand complex words. This project aims to study the development of morphological reading skills from kindergarten through to high school, providing insights into the full spectrum of abilities required to move from novice to expert reader. Over 80 per cent of English words comprise multiple morphemes, but how children learn to read such complex words is not well understood. Understanding this key reading process will have the potential to inform reading instruction practices from primary school through to high school. Expected outcomes are a richer understanding of the predictors, developmental time-course, and mechanisms involved in the acquisition of morphological processes in reading. This project has the potential to inform the effectiveness of explicit morphological teaching and intervention, to the benefit of Australia’s children.Read moreRead less
Investigating the biogenesis and function of circular RNAs in the brain. Circular RNAs (circRNAs) are e a novel class of RNA molecules produced in a wide spectrum of eukaryotic organisms, from yeast to humans. Their expression is particularly high in the nervous system in the fruit fly, mouse and humans. What mechanisms are responsible for the tissue-specific enrichment of circular RNA expression? What are the consequences of circular RNA production on gene expression? The overall goal of the pr ....Investigating the biogenesis and function of circular RNAs in the brain. Circular RNAs (circRNAs) are e a novel class of RNA molecules produced in a wide spectrum of eukaryotic organisms, from yeast to humans. Their expression is particularly high in the nervous system in the fruit fly, mouse and humans. What mechanisms are responsible for the tissue-specific enrichment of circular RNA expression? What are the consequences of circular RNA production on gene expression? The overall goal of the proposed project is to elucidate these important aspects of circRNA biogenesis. Specifically, the project aims to (a) discover proteins that regulate circRNA expression, (b) elucidate how circRNA expression interacts with alternative splicing, and (c) identify circular RNAs that play regulatory roles in gene expression. Read moreRead less
High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes ....High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes include computational models of how the most infectious viral variants emerge and spread in presence of interventions, how to predict the outbreaks, and which are the most vulnerable communities. This should make a significant economic and social impact, improving population health while maintaining a resilient economy.Read moreRead less
From me to you and beyond: understanding socially-induced nocebo effects. Nocebo effects – when negative expectancies trigger adverse outcomes – cause enormous personal and societal harm. We have made great progress understanding how instruction and conditioning contribute to nocebo effects. Yet, the role of social learning – what we learn by observing others – has received surprisingly little attention despite its relevance to many prominent societal-level nocebo effects. The current project us ....From me to you and beyond: understanding socially-induced nocebo effects. Nocebo effects – when negative expectancies trigger adverse outcomes – cause enormous personal and societal harm. We have made great progress understanding how instruction and conditioning contribute to nocebo effects. Yet, the role of social learning – what we learn by observing others – has received surprisingly little attention despite its relevance to many prominent societal-level nocebo effects. The current project uses novel experimental methods to understand how social learning contributes to nocebo effects and which strategies inhibit these effects. The results will significantly advance scientific understanding of socially-induced nocebo effects and pave the way for translational research to reduce the substantial harm they cause.Read moreRead less
Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and se ....Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and self-organise in complex networks, how to predict and contain the epidemics closer to their source, and which are the most vulnerable groups and communities. This should make a significant economic and social impact, improving health of the population, while also safeguarding national and international supply chains.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