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Open AccessArticle

A Combinatorial Protein Microarray for Probing Materials Interaction with Pancreatic Islet Cell Populations

Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology, Future Industries Institute, University of South Australia, Adelaide 5095 SA, Australia
School of Medicine, University of Adelaide, Adelaide5005 SA, Australia
Centre for Clinical and Experimental Transplantation, Adelaide 5000 SA, Australia
Immunology and Diabetes Unit, St. Vincent’s Institute of Medical Research, Fitzroy 3065 Vic, Australia
Central Northern Adelaide Renal Transplantation Service, Royal Adelaide Hospital, Adelaide 5000 SA, Australia
Author to whom correspondence should be addressed.
Academic Editor: Holger Erfle
Microarrays 2016, 5(3), 21;
Received: 3 May 2016 / Revised: 26 July 2016 / Accepted: 28 July 2016 / Published: 10 August 2016
(This article belongs to the Special Issue Cell-Based Microarrays)
Pancreatic islet transplantation has become a recognized therapy for insulin-dependent diabetes mellitus. During isolation from pancreatic tissue, the islet microenvironment is disrupted. The extracellular matrix (ECM) within this space not only provides structural support, but also actively signals to regulate islet survival and function. In addition, the ECM is responsible for growth factor presentation and sequestration. By designing biomaterials that recapture elements of the native islet environment, losses in islet function and number can potentially be reduced. Cell microarrays are a high throughput screening tool able to recreate a multitude of cellular niches on a single chip. Here, we present a screening methodology for identifying components that might promote islet survival. Automated fluorescence microscopy is used to rapidly identify islet derived cell interaction with ECM proteins and immobilized growth factors printed on arrays. MIN6 mouse insulinoma cells, mouse islets and, finally, human islets are progressively screened. We demonstrate the capability of the platform to identify ECM and growth factor protein candidates that support islet viability and function and reveal synergies in cell response. View Full-Text
Keywords: ECM proteins; microarrays; pancreatic islets; high throughput screening ECM proteins; microarrays; pancreatic islets; high throughput screening
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MDPI and ACS Style

Delalat, B.; Rojas-Canales, D.M.; Rasi Ghaemi, S.; Waibel, M.; Harding, F.J.; Penko, D.; Drogemuller, C.J.; Loudovaris, T.; Coates, P.T.H.; Voelcker, N.H. A Combinatorial Protein Microarray for Probing Materials Interaction with Pancreatic Islet Cell Populations. Microarrays 2016, 5, 21.

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