hupo2017@conferencepartners.ie

David E James

David E James

Talk Title:
Probing the insulin network using phosphoproteomics

Bio:

FAA, Phd
Charles Perkins Centre, School of Life and Environmental Science, Sydney University, Australia

Professor James currently holds the Leonard P Ullmann Chair in Molecular Systems Biology and he is the Domain Leader for Biology at the Charles Perkins Centre, University of Sydney. Professor James has made major contributions to our understanding of insulin action. In the late 1980s he published a series of journal articles in Nature describing the identification and characterization of the insulin responsive glucose transporter GLUT4. Professor James then focused his efforts on unveiling the cellular and molecular control of insulin-stimulated glucose transport. He has also made contributions in the area of SNARE proteins, signal transduction and more recently in systems biology. He has won several awards including the Glaxo Wellcome Medal for Medical Research and the Kellion medal for outstanding contributions to Diabetes research. In 2007 he was elected as a fellow of the Australian Academy of Science and was awarded the NSW Premier Prize in Excellence in Medical Biological Sciences in 2016. He is on the editorial board of a number of prestigious journals and he is regularly invited to speak at key international meetings on diabetes and metabolism

Abstract:

Insulin plays a fundamental role in regulating important physiological processes and dysfunctional insulin action is at the heart of many metabolic diseases. To probe the insulin network more deeply we utilized global unbiased phosphoproteomic analysis in cells/tissues from animals subjected to a range of perturbations. We have also developed novel visualization approaches to display the dynamic nature of this network. These studies have unveiled novel avenues of insulin action and how this network is perturbed under conditions of insulin resistance, an early risk factor for metabolic disease. We have used machine learning approaches to unravel this network yielding exciting new approaches for identifying kinase-substrate relationships beyond traditional approaches. These approaches have identified new substrates for essential kinases like Akt and mTOR. We are now coordinating these efforts with dynamic analysis of the insulin regulated metabolome. These approaches are providing completely novel insights into our understanding of complex disease.

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