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
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
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.
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.