Charting the human epi-transcriptome. This project aims to use Oxford nanopore technologies and phage display technologies, to obtain quantitative, single-nucleotide resolution maps for any RNA modification of choice. This will allow systematic mapping of RNA modifications for which we currently lack transcriptome-wide maps, as well as investigate the roles, regulation and impact of RNA modifications in proper cellular functioning and cell differentiation. The project will provide significant be ....Charting the human epi-transcriptome. This project aims to use Oxford nanopore technologies and phage display technologies, to obtain quantitative, single-nucleotide resolution maps for any RNA modification of choice. This will allow systematic mapping of RNA modifications for which we currently lack transcriptome-wide maps, as well as investigate the roles, regulation and impact of RNA modifications in proper cellular functioning and cell differentiation. The project will provide significant benefits, such as to the economy by offering a cost-effective alternative to sequencing methods currently used to map DNA and RNA modifications.Read moreRead less
Mining large negative correlations for high-dimensional contrasting analysis. Negative correlations are widely embedded in real life applications, but in-depth research has rarely been conducted due to its high level of complexity. This project aims at efficient algorithms and frontier theory for finding large negative correlations, to enable smart information use in bioinformatics to promote Australia's leading role in data mining research.
Fine-scale resolution of genomes in natural microbial communities. This project aims to develop advanced molecular and statistical techniques to precisely resolve the genomes of microbes in the environment. Microbes inhabit every niche on the planet and are fundamental to human and animal health, agriculture, and the environment. The proposed technology will advance our understanding of environmental microbes, leading to advances in areas like climate science and biosecurity where microbes play ....Fine-scale resolution of genomes in natural microbial communities. This project aims to develop advanced molecular and statistical techniques to precisely resolve the genomes of microbes in the environment. Microbes inhabit every niche on the planet and are fundamental to human and animal health, agriculture, and the environment. The proposed technology will advance our understanding of environmental microbes, leading to advances in areas like climate science and biosecurity where microbes play a key role. It will also support the development of billion dollar industries focused on the use of beneficial microbes in agriculture, plant, animal, and human health.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
Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically an ....Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically and clinically significant discoveries in biomedical research. This project will help Australian researchers in statistics and users of statistics (from fields as diverse as biology, ecology, medicine, finance, agriculture and the social sciences) to make better predictions that are easier to understand.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
The hunt for Ribonucleic Acid riboswitches and genetic sensors of metabolic flux in plants. Ribonucleic Acid (RNA) contains both structural and sequence information that coordinates feedback of metabolic processes in response to environmental change, thereby promoting cellular adaptation and survival. This project will discover ancient RNA modules and structural switches in plants that sense chemical reactions and regulate pathway flux.
Vertically integrated statistical modelling in multi-layered omics studies. This project will develop an adaptive statistical modelling framework that uses information from many omics data to discover a collection of stable and clinically significant biomarkers. Results will enable researchers to better understand the underlying biological system of complex diseases such as cancer, Alzheimer and diabetes.
How novel ribosomal RNA gene repeat variants drive cellular function. The hundreds of ribosomal RNA gene repeat copies are a remarkable part of our genomes, as they encode the machinery responsible for all cellular protein synthesis and shape the structure of the nucleus. However, due to their high degree of sequence similarity, they still have not been assembled into the human genome reference. This project will resolve this impasse and furthermore uncover the functional impacts of a newly iden ....How novel ribosomal RNA gene repeat variants drive cellular function. The hundreds of ribosomal RNA gene repeat copies are a remarkable part of our genomes, as they encode the machinery responsible for all cellular protein synthesis and shape the structure of the nucleus. However, due to their high degree of sequence similarity, they still have not been assembled into the human genome reference. This project will resolve this impasse and furthermore uncover the functional impacts of a newly identified molecular diversity in the ribosomal RNA gene repeats. Outcomes include new paradigms for how the ribosomal RNA gene repeats drive protein synthesis and genome structure, and a blueprint to develop novel genomics applications for human health, biotechnology, and agriculture.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