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Proteomics in Systems Biology

Volume 1394 of the series Methods in Molecular Biology pp 275-286

Date:

A Simple Workflow for Large Scale Shotgun Glycoproteomics

  • Astrid GuldbrandsenAffiliated withProteomics Unit, Department of Biomedicine, University of BergenKG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen
  • , Harald BarsnesAffiliated withProteomics Unit, Department of Biomedicine, University of BergenKG Jebsen Center for Diabetes Research, Department of Clinical Sciences, University of Bergen
  • , Ann Cathrine KroksveenAffiliated withProteomics Unit, Department of Biomedicine, University of BergenKG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen
  • , Frode S. BervenAffiliated withProteomics Unit, Department of Biomedicine, University of BergenKG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of BergenNorwegian Multiple Sclerosis Competence Centre, Department of Neurology, Haukeland University Hospital
  • , Marc VaudelAffiliated withProteomics Unit, Department of Biomedicine, University of Bergen Email author 

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Abstract

Targeting subproteomes is a good strategy to decrease the complexity of a sample, for example in body fluid biomarker studies. Glycoproteins are proteins with carbohydrates of varying size and structure attached to the polypeptide chain, and it has been shown that glycosylation plays essential roles in several vital cellular processes, making glycosylation a particularly interesting field of study. Here, we describe a method for the enrichment of glycosylated peptides from trypsin digested proteins in human cerebrospinal fluid. We also describe how to perform the data analysis on the mass spectrometry data for such samples, focusing on site-specific identification of glycosylation sites, using user friendly open source software.

Key words

Glycoproteomics Enrichment Data interpretation