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From the third issue of 2017, Microarrays has changed its name to High-Throughput.

Open AccessArticle
Microarrays 2016, 5(3), 21; doi:10.3390/microarrays5030021

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

1
Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology, Future Industries Institute, University of South Australia, Adelaide 5095 SA, Australia
2
School of Medicine, University of Adelaide, Adelaide5005 SA, Australia
3
Centre for Clinical and Experimental Transplantation, Adelaide 5000 SA, Australia
4
Immunology and Diabetes Unit, St. Vincent’s Institute of Medical Research, Fitzroy 3065 Vic, Australia
5
Central Northern Adelaide Renal Transplantation Service, Royal Adelaide Hospital, Adelaide 5000 SA, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Holger Erfle
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)
View Full-Text   |   Download PDF [1809 KB, uploaded 10 August 2016]   |  

Abstract

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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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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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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