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.
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Acknowledgements
A.C.K. is supported by the Kristian Gerhard Jebsen Foundation. H.B. is supported by the Research Council of Norway.
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Guldbrandsen, A., Barsnes, H., Kroksveen, A.C., Berven, F.S., Vaudel, M. (2016). A Simple Workflow for Large Scale Shotgun Glycoproteomics. In: Reinders, J. (eds) Proteomics in Systems Biology. Methods in Molecular Biology, vol 1394. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3341-9_20
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DOI: https://doi.org/10.1007/978-1-4939-3341-9_20
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