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Statistical analysis of glycosylation profiles to compare tissue type and inflammatory disease state.

Journal article
Authors Catherine A Hayes
Szilard Nemes
Niclas G. Karlsson
Published in Bioinformatics
Volume 28
Issue 13
Pages 1669-76
ISSN 1367-4811
Publication year 2012
Published at Institute of Clinical Sciences, Department of Oncology
Institute of Biomedicine
Institute of Biomedicine, Department of Medical Biochemistry and Cell Biology
Pages 1669-76
Language en
Subject categories Cancer and Oncology


Motivation: Glycosylation is one of the most important post-translational modifications of proteins and explains some aspects of the diversification of higher organisms not explained by template-driven synthesis. For glycomics to mature as much as genomics and proteomics, the necessary tools need to be developed and tested. Liquid chromatography-mass spectrometry is one of the gold standards for oligosaccharide analysis and leads to large amounts of data, not easily interpreted manually. We present a study on the testing and validation of statistical analysis tools to aid the structural elucidation of these analyses as well as using the results to answer biologically relevant questions. Results: We show the usefulness of data reduction and statistical analysis in the interpretation of complex glycosylation data. The reduction does not result in the loss of importance of the glycosylation information as shown by comparison of control and disease samples in two tissue types.

Page Manager: Webmaster|Last update: 9/11/2012

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