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Yeast Systems Biology pp 191–202Cite as

Data-Independent Acquisition for Yeast Glycoproteomics

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 2049))

Abstract

Glycosylation is a complex posttranslational modification that is critical for regulating the functions of diverse proteins. Analysis of protein glycosylation is made challenging by the high degree of heterogeneity in both glycan occupancy and structure. Here, we describe methods for data-independent acquisition (SWATH) mass spectrometry analysis of structure and occupancy of N-glycans from yeast cell wall glycoproteins.

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Acknowledgments

Funding: This work was supported by Australian Research Council Discovery Project grant DP160102766 and Australian Research Council Industrial Transformation and Training Centre Grant IC160100027 to BLS. BLS holds an Australian National Health and Medical Research Council RD Wright Biomedical Fellowship APP1087975.

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Authors and Affiliations

  1. ARC Training Centre for Biopharmaceutical Innovation, The University of Queensland, St. Lucia, QLD, Australia

    Lucía F. Zacchi & Benjamin L. Schulz

  2. School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD, Australia

    Benjamin L. Schulz

Authors
  1. Lucía F. Zacchi
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  2. Benjamin L. Schulz
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Corresponding author

Correspondence to Benjamin L. Schulz .

Editor information

Editors and Affiliations

  1. Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK

    Stephen G. Oliver

  2. Genetadi Biotech, Parque Tecnológico de Bizkaia, Biscay, Spain

    Juan I. Castrillo

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Zacchi, L.F., Schulz, B.L. (2019). Data-Independent Acquisition for Yeast Glycoproteomics. In: Oliver, S.G., Castrillo, J.I. (eds) Yeast Systems Biology. Methods in Molecular Biology, vol 2049. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9736-7_11

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  • DOI: https://doi.org/10.1007/978-1-4939-9736-7_11

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9735-0

  • Online ISBN: 978-1-4939-9736-7

  • eBook Packages: Springer Protocols

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