Commensal benefits: genomic basis for suppressing plant pathogens with Pseudomonas biocontrol species. Food security is an issue of mounting significance due to unpredictable climate trends and increasing global population growth. A feature of paramount importance to reliable crop production is the capacity to control plant diseases. This project investigates natural plant colonising bacteria as a tool for protecting plants from disease.
Resurrecting Ancient Proteins to Unlock New Catalytic Activity. This project aims to study the proteins that nature uses to make penicillin and related antibiotics, and their prehistoric ancestors. By doing so, the project expects to deepen understanding of these important processes, open up ways to make new antibiotics, and generate new knowledge about protein evolution. Intended outcomes include new biocatalysts based on the ancient ones, new antibiotic compounds active against resistant bacte ....Resurrecting Ancient Proteins to Unlock New Catalytic Activity. This project aims to study the proteins that nature uses to make penicillin and related antibiotics, and their prehistoric ancestors. By doing so, the project expects to deepen understanding of these important processes, open up ways to make new antibiotics, and generate new knowledge about protein evolution. Intended outcomes include new biocatalysts based on the ancient ones, new antibiotic compounds active against resistant bacteria, and a richer understanding of how these proteins have evolved over the last 4 billion years. This promises significant benefits in the form of new ways to address the challenge posed by antimicrobial resistance to antibiotics, which is a serious threat to the continued effectiveness of current antibiotics.Read moreRead less
Empirical and computational solutions for multi-omics single-cell assays. Emerging single-cell sequencing technologies are transforming molecular cell biology, but identifying novel cell types and their functions requires the integration of highly heterogeneous data. The development of computational methods able to extract biologically relevant results is hindered by the lack of high-quality datasets. This project aims to develop novel sequencing methodologies and generate data to drive our dime ....Empirical and computational solutions for multi-omics single-cell assays. Emerging single-cell sequencing technologies are transforming molecular cell biology, but identifying novel cell types and their functions requires the integration of highly heterogeneous data. The development of computational methods able to extract biologically relevant results is hindered by the lack of high-quality datasets. This project aims to develop novel sequencing methodologies and generate data to drive our dimension reduction multivariate method developments for data integration. By combining in silico and in vivo approaches, the project is anticipated to benefit scientists willing to work in cutting-edge single-cell research by providing useful protocols and tools to generate novel insights in cell biology. Read moreRead less
Predicting the evolution of the influenza virus on mass. Understanding viral reassortment is essential for the development of efficacious vaccines and to prepare for a future influenza pandemic. The research will improve our ability to monitor the evolution of reassorted influenza virus strains using new computer algorithms in concert with the application of bioinformatics and analytical technologies.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100150
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
Beyond Proteomics: structure and function of protein modifications. The world's leading cancer therapeutics have come from the protein phosphorylation field, and glycomics has led to drugs that combat the flu and that stimulate red blood cell production in cancer patients. Thus there is a bright future for discovery of new medicines based on new knowledge in this area. Protein modifications are key to the understanding of disease mechanisms and for searching for new disease markers and new the ....Beyond Proteomics: structure and function of protein modifications. The world's leading cancer therapeutics have come from the protein phosphorylation field, and glycomics has led to drugs that combat the flu and that stimulate red blood cell production in cancer patients. Thus there is a bright future for discovery of new medicines based on new knowledge in this area. Protein modifications are key to the understanding of disease mechanisms and for searching for new disease markers and new therapeutics. In the hands of local experts the instruments will enable identification of these modifications and provide improved understanding of biology, increase the national competitiveness of Australia's scientists, and provide advanced technology training to the next generation of scientists.Read moreRead less
Gene regulation by retroelement encoded natural antisense transcripts. Genetic information underpins all life on earth and is processed to make proteins, which determine the characteristics of an organism. However, only about 2% of our whole genome is made up of genes that encode proteins; the other 98% is non-coding and its function remains poorly understood. Aims and Significance: This proposal aims to utilise cutting edge genomic technologies to generate new knowledge about how the non-coding ....Gene regulation by retroelement encoded natural antisense transcripts. Genetic information underpins all life on earth and is processed to make proteins, which determine the characteristics of an organism. However, only about 2% of our whole genome is made up of genes that encode proteins; the other 98% is non-coding and its function remains poorly understood. Aims and Significance: This proposal aims to utilise cutting edge genomic technologies to generate new knowledge about how the non-coding genome regulates the expression of protein coding genes. Expected Outcomes and Benefits: This proposal will provide novel targets and methodology for gene modulation with broad applications from biology to environmental sciences.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100007
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
A research platform for exploring the genotype: phenotype nexus. This project will allow us to connect the genetic code of an organism with its characteristic traits that are essential for its survival. The equipment will accelerate research that performs this translation, and will allow leading Australian scientists to continue to make breakthroughs in this field globally.
Discovery Early Career Researcher Award - Grant ID: DE170100759
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
Trans-omic networks: A machine learning and omics integration approach. This project aims to map and model ‘trans-omic’ networks that cut through omic layers using machine learning and multi-omic data integration. Global networks regulated by molecular programs, including signalling, epigenetic, transcriptional and translational regulation, orchestrate cellular functions. Technological advances can profile these molecular programmes, giving rise to various ‘omics’. However, data generated from e ....Trans-omic networks: A machine learning and omics integration approach. This project aims to map and model ‘trans-omic’ networks that cut through omic layers using machine learning and multi-omic data integration. Global networks regulated by molecular programs, including signalling, epigenetic, transcriptional and translational regulation, orchestrate cellular functions. Technological advances can profile these molecular programmes, giving rise to various ‘omics’. However, data generated from each omic layer are predominantly analysed separately owing to their heterogeneity. To understand cellular functions in its entirety, it is essential to interpret omic data across multiple omic layers. Applying this project’s methods is expected to improve use of omics data and fundamental molecular programs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100964
Funder
Australian Research Council
Funding Amount
$443,869.00
Summary
Statistical approaches for spatial genomics at single cell resolution. Cells cooperate to form complex, dynamic and varied tissue structures. This project aims to develop statistical and computational approaches to analyse spatial genomics data, a novel technology that retains vital spatial information at single cell resolution while detecting RNA molecules for hundreds of genes. Observing the molecular activity of cells in their spatial context is critical for tackling key biological questions, ....Statistical approaches for spatial genomics at single cell resolution. Cells cooperate to form complex, dynamic and varied tissue structures. This project aims to develop statistical and computational approaches to analyse spatial genomics data, a novel technology that retains vital spatial information at single cell resolution while detecting RNA molecules for hundreds of genes. Observing the molecular activity of cells in their spatial context is critical for tackling key biological questions, such as how tumour cells behave during malignancy or how stem cells determine their fate. Expected outcomes also include techniques to fully harmonise spatial and non-spatial genomics datasets, and methods toward understanding the complex relationships among cells in their environment, revealing novel cell biology.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