The systems biology of stem cells. Using new bioinformatic methods, this project aims to identify new classifiers of different stem cell populations, develop statistical models that address population heterogeneity and provide molecular predictors of the differentiation potential of stem cells. Understanding, predicting and directing the processes of differentiation are major goals in the disciplines of stem cell biology, developmental biology, tissue engineering and regenerative medicine. Molec ....The systems biology of stem cells. Using new bioinformatic methods, this project aims to identify new classifiers of different stem cell populations, develop statistical models that address population heterogeneity and provide molecular predictors of the differentiation potential of stem cells. Understanding, predicting and directing the processes of differentiation are major goals in the disciplines of stem cell biology, developmental biology, tissue engineering and regenerative medicine. Molecular atlas projects have successfully revealed rules of genome output and regulation, by mining patterns that are evident across multiple cell types and datasets. By applying this philosophy to relevant, well-curated stem cell experiments, this project aims to create new methods for the integration and interrogation of smaller individual datasets. These methods should have broad utility and enable new avenues in tissue engineering.Read moreRead less
A biological model to understand caveolin-1 and lipid raft function in health and disease. This project will generate a biological model for pathological caveolin-1 action on cell membrane domains called lipid rafts to determine how they trigger chronic diseases such as cancer and diabetes. The tools developed in this project will help Australia find new drug targets for the treatment and prevention of these prevalent diseases.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100071
Funder
Australian Research Council
Funding Amount
$290,000.00
Summary
Chemi–biology computational platform for lead discovery in infectious disease. A challenge in fighting infectious disease is in finding new bioactive compounds. This facility will provide a high performance computational environment designed to accelerate the discovery of quality compounds for use in anti-infective medicine.
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
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
Formation of boundaries in the developing embryo. This project aims to decipher how the boundaries between the different organs are established in the developing embryo. The project aims to identify the components of the gene regulatory network that controls lateral plate mesoderm formation, develop a mathematical model that can explain how the domains are formed within this region, and validate novel interactions in vivo in zebrafish. The expected outcome of the project is to reveal how the pro ....Formation of boundaries in the developing embryo. This project aims to decipher how the boundaries between the different organs are established in the developing embryo. The project aims to identify the components of the gene regulatory network that controls lateral plate mesoderm formation, develop a mathematical model that can explain how the domains are formed within this region, and validate novel interactions in vivo in zebrafish. The expected outcome of the project is to reveal how the progenitors of our body parts are instructed to be positioned at the right time and at the right place in the embryo. This project should provide significant benefit such as the expansion of Australia's knowledge base and research capability in cross-disciplinary science.Read moreRead less
Developing bioinformatics methods for single cell transcriptomics. This project aims to develop novel bioinformatics methods for single cell transcriptomic data that seek to model variability in cell populations. The project expects to generate new approaches using Bayesian statistics that will act as high-end enablers of discovery in transcriptional regulatory processes. Through an interdisciplinary combination of experimental and computational research, insights into fundamental biological pro ....Developing bioinformatics methods for single cell transcriptomics. This project aims to develop novel bioinformatics methods for single cell transcriptomic data that seek to model variability in cell populations. The project expects to generate new approaches using Bayesian statistics that will act as high-end enablers of discovery in transcriptional regulatory processes. Through an interdisciplinary combination of experimental and computational research, insights into fundamental biological processes will be elucidated, specifically the robustness of cellular systems. Expected outcomes include a suite of novel tools that will push the boundaries of current bioinformatics solutions with potential to deliver significant benefits to every domain of biological science, particularly tissue engineering and synthetic biology.Read moreRead less
Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational appr ....Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational approaches that allow for integration of large-scale data with networks to predict metabolite concentration ranges. This will provide significant benefit with the aim of maintaining outstanding research in Australia, and has clear potential for improved human health and enhanced food quality via metabolic reprogramming.Read moreRead less
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
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