Abstract
The biological relevance of protein glycosylation has made glycomics, the comprehensive study to identify all glycans in an organism, indispensable in many research fields. Determining the structure and functional relationship of glycoproteins requires the comprehensive characterization of glycan structures by a range of analytical methods. High performance liquid chromatography (HPLC) is a well-established technology commonly used for the complete structural elucidation of N- and O-linked glycans; however, the analysis of data is a major bottleneck and robust bioinformatic solutions are required. This chapter describes the availability of databases and tools, GlycoBase and autoGU developed in conjunction with the EUROCarbDB initiative, to assist the interpretation of HPLC-glycan data collections.
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Acknowledgements
The EUROCarbDB initiative (http://www.eurocarbdb.org, Design Studies Related to the Development of Distributed, Web-based European Carbohydrate Databases) was funded by the European Union as a Research Infrastructure Design Study implemented as a Specific Support Action under the FP6 Research Framework Program (RIDS Contract number 011952).
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Campbell, M.P., Royle, L., Rudd, P.M. (2015). GlycoBase and autoGU: Resources for Interpreting HPLC-Glycan Data. In: Lütteke, T., Frank, M. (eds) Glycoinformatics. Methods in Molecular Biology, vol 1273. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2343-4_2
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DOI: https://doi.org/10.1007/978-1-4939-2343-4_2
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