Discovery Early Career Researcher Award - Grant ID: DE200101323
Funder
Australian Research Council
Funding Amount
$427,098.00
Summary
Structure guided mapping of protein interactions and their perturbation. Protein interactions are central to most biological processes, and significant effort has been devoted to trying to unravel these complicated networks. This project aims to develop new approaches to better understand these interactions, and the consequences of their perturbation. The main expected contributions will be: (i) methods to identify likely protein interaction sites using population conservation; (ii) computationa ....Structure guided mapping of protein interactions and their perturbation. Protein interactions are central to most biological processes, and significant effort has been devoted to trying to unravel these complicated networks. This project aims to develop new approaches to better understand these interactions, and the consequences of their perturbation. The main expected contributions will be: (i) methods to identify likely protein interaction sites using population conservation; (ii) computational approaches to assess the effects of any type of mutation on the interaction; and (iii) an understanding of how disruption of a specific interaction can affect the complicated biological network within a cell. Read moreRead less
Transcription factor – enhancer – promoter based regulatory networks. This project aims to develop new understanding on how multicellular organisms (including humans) develop, and how mutations in distant regions of the genome can affect human traits. The way the human genome is interpreted by the cellular machinery is still a mystery. We have a reference sequence and know where the majority of coding genes are, but we are far from understanding how the genome is regulated to generate the divers ....Transcription factor – enhancer – promoter based regulatory networks. This project aims to develop new understanding on how multicellular organisms (including humans) develop, and how mutations in distant regions of the genome can affect human traits. The way the human genome is interpreted by the cellular machinery is still a mystery. We have a reference sequence and know where the majority of coding genes are, but we are far from understanding how the genome is regulated to generate the diversity of cell types in our bodies. Enhancer regions interact with proximal promoters to regulate gene expression level and tissue-specificity. This project aims to develop transcriptional regulatory network models using high throughput chromatin interaction data and expression perturbation to link promoter and enhancers genome-wide.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL130100038
Funder
Australian Research Council
Funding Amount
$2,796,748.00
Summary
Molecular machines and bacterial cell biology. This project will deliver a detailed understanding and visual rendering of molecular machines at work on the surface of bacteria. This ground-breaking research provides unique training opportunities for research students and staff: with projects driving frontier technology, and the transfer of new technological capabilities to Australia.
Discovery Early Career Researcher Award - Grant ID: DE150101777
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Understanding the role of exosomes in intercellular communication. Exosomes, small packages released by cells, are powerful signalling organelles that can activate neighbouring cells by transferring proteins and RNA. Currently, it is unknown whether exosomes have similar membrane protein/lipid composition to that of the host cell. This project aims to explore the similarities and differences between the exosomal and host cell membranes in terms of the protein/lipid composition. In addition, the ....Understanding the role of exosomes in intercellular communication. Exosomes, small packages released by cells, are powerful signalling organelles that can activate neighbouring cells by transferring proteins and RNA. Currently, it is unknown whether exosomes have similar membrane protein/lipid composition to that of the host cell. This project aims to explore the similarities and differences between the exosomal and host cell membranes in terms of the protein/lipid composition. In addition, the project aims to study how the proteins and RNA are packaged into exosomes. Membrane molecules that are detected only in the exosomes may have important signalling implications and may aid in the uptake/fusion of exosomes by/with target cells. The project aims to improve our understanding on signalling mediated by exosomes.Read moreRead less
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.
IDENTIFYING CONTROL ELEMENTS IN CHLOROPLAST GENE EXPRESSION. Energy from sunlight is captured by photosynthesis in plants, providing the basis for the terrestrial food chain. This process takes place in chloroplasts, subcellular structures that derived from photosynthetic bacteria a billion years ago. Chloroplasts have their own DNA, containing genes encoding the most important photosynthetic proteins. This project aims to provide the world’s best resources for the study of chloroplast genes. In ....IDENTIFYING CONTROL ELEMENTS IN CHLOROPLAST GENE EXPRESSION. Energy from sunlight is captured by photosynthesis in plants, providing the basis for the terrestrial food chain. This process takes place in chloroplasts, subcellular structures that derived from photosynthetic bacteria a billion years ago. Chloroplasts have their own DNA, containing genes encoding the most important photosynthetic proteins. This project aims to provide the world’s best resources for the study of chloroplast genes. In the process, we will discover how these important genes are regulated to provide photosynthetic proteins in the right amounts, in the right cells, at the right time. The knowledge and resources gained will facilitate improvement of photosynthetic function in future agricultural crops.Read moreRead less
Computational systems biology: understanding mammalian cell fates using genome-scale network models. Mutations can disrupt the cellular networks that control normal development, causing cells to develop abnormally including in ways that lead to cancer. The project will analyse genome sequences from more than 700 pancreatic cancers and matched controls to precisely map the causative trail from mutations to disrupted networks to altered cell development.
Novel antimicrobial target discovery by an integrated approach. The project aims to uncover the molecular targets of BDM-I, a novel antimicrobial candidate discovered by the start-up Australian company BioDiem Ltd. BDM-I is active against many drug resistant bacterial and fungal microorganisms and it is currently in pre-clinical development. However, the lack of resistant phenotypes makes it difficult to identify BDM-I’s mechanism of action. The project plans to use an integrated approach that c ....Novel antimicrobial target discovery by an integrated approach. The project aims to uncover the molecular targets of BDM-I, a novel antimicrobial candidate discovered by the start-up Australian company BioDiem Ltd. BDM-I is active against many drug resistant bacterial and fungal microorganisms and it is currently in pre-clinical development. However, the lack of resistant phenotypes makes it difficult to identify BDM-I’s mechanism of action. The project plans to use an integrated approach that combines a novel technique of in silico screening with experimental validation. Project outcomes are anticipated to include the first computational method to integrate target and ligand similarity for proteome-scale target and off-target discovery, which will advance the global fight against drug-resistant microorganisms.Read moreRead less
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