Do Synaptic-like Mechanisms Control Insulin Secretion?
Funder
National Health and Medical Research Council
Funding Amount
$593,235.00
Summary
An estimated 415 million people world-wide were diagnosed with diabetes in 2015. One of the causal factors in disease is the dysregulation of insulin secretion. We have developed new techniques to study insulin secretion that has led us to propose a new model for secretory control. This proposal sets out experiments to critically test this model. The outcomes could have wide-reaching impact on understanding and for future treatment and prevention of the diabetes.
The Structure And Function Of The Apical Domain In Insulin Secreting Beta Cells.
Funder
National Health and Medical Research Council
Funding Amount
$571,741.00
Summary
Loss of control of insulin secretion is causal in diabetes and therefore its understanding is a key goal to shed light on the disease. We have recently identified a new domain in the insulin secreting cells, called the apical domain. This proposal will define the role of this apical domain in controlling insulin secretion. The outcomes could provide new insights into how diabetes develops and new targets for therapies.
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