Real-time analysis of tumour-infiltrating T cells using novel analytical tools. By dynamic visualization of immune cells within intact tumours, we have shown that active screening for target cells optimises their anti-tumour effect. This project will develop novel mathematical/analytical tools to unravel the basic strategies that enable immune cells to position themselves at the right location at the right time.
Discovery Early Career Researcher Award - Grant ID: DE150101655
Funder
Australian Research Council
Funding Amount
$297,036.00
Summary
Discriminative detection and quantification of cancer imaging biomarkers. This project aims to develop a new framework for the detection and quantification of cancer biomarkers in diagnostic and histopathology images with discriminative modelling of intrinsic structures. The framework will be the first computerised solution to provide automated, quantitative annotations of cancer imaging biomarkers at the macroscopic and microscopic levels to support standardised reporting of image interpretatio ....Discriminative detection and quantification of cancer imaging biomarkers. This project aims to develop a new framework for the detection and quantification of cancer biomarkers in diagnostic and histopathology images with discriminative modelling of intrinsic structures. The framework will be the first computerised solution to provide automated, quantitative annotations of cancer imaging biomarkers at the macroscopic and microscopic levels to support standardised reporting of image interpretation. It will help to alleviate the inter-observer variability and time-consuming process of manual analysis. The project aims to advance fundamental biomedical imaging research in generalised visual structure extraction and classification, and enable large-scale translational research in systems pathology for personalised cancer care.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
Sugars in the real world: are cultured cancer cells a good model system for studying protein glycosylation? It is challenging to study errors in metabolism in human beings, so researchers use cells grown in the laboratory to understand disease processes. This project will determine if cultured cells accurately reflect the real changes to cell surface sugars that occur in all cancers, and the effect of these changes on the invasive properties of colon cancer cells.
Single molecule intracellular intravital imaging of actin dynamics. The project intends to develop imaging technology to visualise fundamental processes in cells within a living animal. The focus will be on the actin cytoskeleton, a dynamic macromolecular machine involved in key cellular processes including cell structure, mobility and division. It is exquisitely sensitive to environmental perturbations, requiring it to be studied in cells in living tissue. The project aims to extend the resolut ....Single molecule intracellular intravital imaging of actin dynamics. The project intends to develop imaging technology to visualise fundamental processes in cells within a living animal. The focus will be on the actin cytoskeleton, a dynamic macromolecular machine involved in key cellular processes including cell structure, mobility and division. It is exquisitely sensitive to environmental perturbations, requiring it to be studied in cells in living tissue. The project aims to extend the resolution of live imaging to the single molecule to understand the dynamics of actin assembly with implications for cellular processes that are hijacked in diseases. It also aims to provide a novel assay that may enable testing of the impact of drugs on cellular processes in real time.Read moreRead less
Role of endocytic mechanisms in mammalian cytokinesis. Cell division requires endocytic proteins and failed cell division can contribute to cancer. This project aims to understand how endocytic proteins function to complete cell division successfully and has implications for the development of chemotherapeutic agents to treat cancer.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100092
Funder
Australian Research Council
Funding Amount
$300,000.00
Summary
Fluorescence microscopy with optical tweezers: imaging cellular responses. Life relies on the ability of our cells to receive and respond to signals with pinpoint accuracy, involving both chemical and mechanical signals. This equipment will allow scientists to expose cells to both types of signals and measure the response at an unprecedented level of accuracy for the first time.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100166
Funder
Australian Research Council
Funding Amount
$370,000.00
Summary
Imaging Cell and Tissue Architecture using Confocal and Super-Resolution Microscopy. Imaging cell and tissue architecture using confocal and super-resolution microscopy: This project aims to understand how the architecture of cells and tissues is controlled. This is because the organisation of biological space underpins the function of cells, tissues and organisms. This project will test the role of identified parts of cell architecture in regulating specific animal functions/pathologies. It wil ....Imaging Cell and Tissue Architecture using Confocal and Super-Resolution Microscopy. Imaging cell and tissue architecture using confocal and super-resolution microscopy: This project aims to understand how the architecture of cells and tissues is controlled. This is because the organisation of biological space underpins the function of cells, tissues and organisms. This project will test the role of identified parts of cell architecture in regulating specific animal functions/pathologies. It will do this by using new microscope technologies which are at the frontier of visualising cell structure in isolation and in the context of tissue including application to the living animal. The dynamic organisation of structures in cells will be imaged in living tissue. Novel insights into structure/function relationships in the body will impact the health industry and generate opportunities for new diagnostics and therapeutics. 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.
Characterisation of p14ARF intracellular trafficking pathways. Over 3500 new cases of melanoma are diagnosed in NSW each year, and one of the most important proteins involved in suppressing melanoma initiation or growth is p14ARF. This project will characterise the movement and functions of this protein with the aim of identifying novel targets for more effective drug therapies.