Methods for quantification of glycopeptides by liquid separation and mass spectrometry.

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  • Author(s): Yin H;Yin H; Zhu J; Zhu J
  • Source:
    Mass spectrometry reviews [Mass Spectrom Rev] 2023 Mar; Vol. 42 (2), pp. 887-917. Date of Electronic Publication: 2022 Feb 04.
  • Publication Type:
    Journal Article; Review; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Wiley Country of Publication: United States NLM ID: 8219702 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-2787 (Electronic) Linking ISSN: 02777037 NLM ISO Abbreviation: Mass Spectrom Rev Subsets: MEDLINE
    • Publication Information:
      Original Publication: New York : Wiley, [c1982-
    • Subject Terms:
    • Abstract:
      Recent advances in analytical techniques provide the opportunity to quantify even low-abundance glycopeptides derived from complex biological mixtures, allowing for the identification of glycosylation differences between healthy samples and those derived from disease states. Herein, we discuss the sample preparation procedures and the mass spectrometry (MS) strategies that have facilitated glycopeptide quantification, as well as the standards used for glycopeptide quantification. For sample preparation, various glycopeptide enrichment methods are summarized including the columns used for glycopeptide separation in liquid chromatography separation. For MS analysis strategies, MS1 level-based quantification and MS2 level-based quantification are described, either with or without labeling, where we have covered isotope labeling, TMT/iTRAQ labeling, data dependent acquisition, data independent acquisition, multiple reaction monitoring, and parallel reaction monitoring. The strengths and weaknesses of these methods are compared, particularly those associated with the figures of merit that are important for clinical biomarker studies and the pathological and functional studies of glycoproteins in various diseases. Possible future developments for glycopeptide quantification are discussed.
      (© 2022 John Wiley & Sons Ltd.)
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    • Grant Information:
      R50 CA221808 United States CA NCI NIH HHS
    • Accession Number:
      0 (Glycopeptides)
      0 (Glycoproteins)
    • Publication Date:
      Date Created: 20220131 Date Completed: 20230201 Latest Revision: 20230328
    • Publication Date:
      20230328
    • Accession Number:
      PMC9339036
    • Accession Number:
      10.1002/mas.21771
    • Accession Number:
      35099083