EPIGENETIC REPROGRAMMING OF MALIGNANT BREAST CANCER
Funder
National Health and Medical Research Council
Funding Amount
$863,268.00
Summary
Poorly differentiated breast cancers are aggressive tumors, frequently resistant to chemotherapy and associated with high morbidity. Herein we propose the engineering of more selective therapeutic agents able to target the genes involved in cancer initiation and resistance to treatment. We aim to correct and reprogram the cancer cell genome in state that is similar to normal, not tumorigenic cells. This work will generate novel forms of treatment for cancers that are presently not curable.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100157
Funder
Australian Research Council
Funding Amount
$600,000.00
Summary
Confocal and single molecule microscopes for systems microscopy. This project aims to establish Australia’s first system microscopy facility with dedicated live-cell confocal and single-molecule fluorescence microscopes. In systems microscopy, the imaging workflow is automated so that large and unbiased data sets of the spatiotemporal organisation of molecules and cells can be generated. Combined with statistical and bioinformatics analyses, image-derived data provides system-wide information th ....Confocal and single molecule microscopes for systems microscopy. This project aims to establish Australia’s first system microscopy facility with dedicated live-cell confocal and single-molecule fluorescence microscopes. In systems microscopy, the imaging workflow is automated so that large and unbiased data sets of the spatiotemporal organisation of molecules and cells can be generated. Combined with statistical and bioinformatics analyses, image-derived data provides system-wide information that is not easily obtainable with other approaches. The project will enable Australian researchers to image and analyse the full complexity of biological systems, potentially transforming cell biology, drug development and understanding the molecular basis of disease. It will also demonstrate how the capacity of microscopy facilities can be enhanced and bias in imaging data reduced by automating data acquisition and mining of image-based data.Read moreRead less