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Glycomic work-flow for analysis of mucin o-linked oligosaccharides.

Journal article
Authors Catherine A Hayes
Szilard Nemes
Samah Issa
Chunsheng Jin
Niclas G. Karlsson
Published in Methods in molecular biology
Volume 842
Pages 141-63
ISSN 1940-6029
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 141-63
Language en
Links dx.doi.org/10.1007/978-1-61779-513-...
Subject categories Cancer and Oncology

Abstract

The high-throughput analysis of the glycosylation of high molecular weight proteins, such as mucins, has been the aim of glycomics initiatives for the last decade. Here, we present a work-flow for the efficient and reproducible analysis of reduced oligosaccharides from a typical mucin sample. This work-flow can be applied to any similar samples of oligosaccharides. We include recently developed bioinformatic procedures for the statistical analysis of sample sets. These procedures can be applied in any laboratory environment, using free programs that are platform independent. The scripts are explained and can be adjusted to suit the individual experiment. Finally, a number of example results are given to highlight the use of the statistical analysis in a biological context.

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