alexa Biosensor Based Protein Profiling on Reverse Phase Serum Microarray
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Research Article

Biosensor Based Protein Profiling on Reverse Phase Serum Microarray

Ronald Sjöberg1, Lennart Hammarström2 and Peter Nilsson1*

1SciLifeLab Stockholm, School of Biotechnology, KTH – Royal Institute of Technology, Box 1031, SE-17121 Solna, Sweden

2Division of Clinical Immunology, Karolinska Institute, Karolinska University Hospital, Huddinge, SE-14186 Stockholm, Sweden

*Corresponding Author:
Peter Nilsson
SciLifeLab Stockholm, School of Biotechnology
KTH – Royal Institute of Technology
Box 1031, SE-17121 Solna, Sweden
E-mail: [email protected]

Received Date: August 02, 2012; Accepted Date: August 13, 2012; Published Date: August 15, 2012

Citation: Sjöberg R, Hammarström L, Nilsson P (2012) Biosensor Based Protein Profiling on Reverse Phase Serum Microarray. J Proteomics Bioinform 5: 185-189. doi: 10.4172/jpb.1000233

Copyright: © 2012 Sjöberg R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The reverse phase serum microarray format enables multi-parallel and simultaneous analysis of literally thousands of samples, a feature which is of uttermost importance for protein profiling of clinical samples. We have here screened 2400 serum samples for their potential IgA deficiency by using a fluorescence based reverse phase serum microarray platform and a biosensor based label-free microarray platform for verification and also compared our microarray-results to clinical routine ELISA. We have been able to identify possible IgA-deficiencies and to show the suitability of our microarray-platforms for large-scale screening of clinical serum samples. The two microarray methods show reproducibility and correlation towards each other and low variation between replicates within each platform. Both of the microarray platforms show less agreement towards ELISA. The fluorescence based microarray method has been shown to be applicable for large-scale screening of clinically important serum samples for detection of possibly IgA-deficient patients. Furthermore, it was found that the microarray based biosensor method could be used for determining the relative differences in concentration of IgA between the samples.

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