Abstract
Protein microarrays with immobilised proteins on their surface are new analytical tools to overcome the current limits with respect to sample volume and throughput. They have a great potential as well with respect to multiplexing of complex samples, as a research tool and in diagnostics. Based on recent advances in this technology, new applications for protein microarrays in studying autoimmune diseases were described. Required tools for bioinformatical analysis of protein microarrays concerning normalisation, clustering and classification methods are discussed. The huge potential of this technology as well as future requirements such as protein microarray based diagnostics are presented.
Keywords: autoimmune disease, protein microarray, biomarker discovery, autoantibody profiling
Current Pharmaceutical Design
Title: New Analytical Tools for Studying Autoimmune Diseases
Volume: 12 Issue: 29
Author(s): Matthias Kalbas, Angelika Lueking, Axel Kowald and Stefan Muellner
Affiliation:
Keywords: autoimmune disease, protein microarray, biomarker discovery, autoantibody profiling
Abstract: Protein microarrays with immobilised proteins on their surface are new analytical tools to overcome the current limits with respect to sample volume and throughput. They have a great potential as well with respect to multiplexing of complex samples, as a research tool and in diagnostics. Based on recent advances in this technology, new applications for protein microarrays in studying autoimmune diseases were described. Required tools for bioinformatical analysis of protein microarrays concerning normalisation, clustering and classification methods are discussed. The huge potential of this technology as well as future requirements such as protein microarray based diagnostics are presented.
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Cite this article as:
Kalbas Matthias, Lueking Angelika, Kowald Axel and Muellner Stefan, New Analytical Tools for Studying Autoimmune Diseases, Current Pharmaceutical Design 2006; 12 (29) . https://dx.doi.org/10.2174/138161206778559713
DOI https://dx.doi.org/10.2174/138161206778559713 |
Print ISSN 1381-6128 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4286 |
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