Quantitative Glycoproteomics for N-Glycoproteome Profiling

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Shotgun Proteomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1156))

Abstract

Glycoproteomics, the global analysis of glycoproteins, is a subfield of proteomics with high biological and clinical relevance. Glycoproteomics integrates knowledge and techniques drawing from glycotechnology, separation science, mass spectrometry, and bioinformatics to support systematic identification and quantification of glycoproteins in a complex biological sample. In this chapter, we describe a shotgun proteomics-based glycoproteomics platform that provides precise map** of protein N-glycosylation sites and quantitative assessment of glycosylation site occupancy on a global scale.

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References

  1. Jones J, Krag SS, Betenbaugh MJ (2005) Controlling N-linked glycan site occupancy. Biochim Biophys Acta 1726:121–137

    Article  CAS  PubMed  Google Scholar 

  2. Zhao YY, Takahashi M, Gu JG, Miyoshi E, Matsumoto A, Kitazume S, Taniguchi N (2008) Functional roles of N-glycans in cell signaling and cell adhesion in cancer. Cancer Sci 99:1304–1310

    Article  CAS  PubMed  Google Scholar 

  3. Wuhrer M (2013) Glycomics using mass spectrometry. Glycoconj J 30:11–22

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  4. Pan S, Chen R, Aebersold R, Brentnall TA (2011) Mass spectrometry based glycoproteomics—from a proteomics perspective. Mol Cell Proteomics 10:R110

    PubMed Central  PubMed  Google Scholar 

  5. Liu T, Qian WJ, Gritsenko MA, Camp DG, Monroe ME, Moore RJ, Smith RD (2005) Human plasma N-glycoproteome analysis by immunoaffinity subtraction, hydrazide chemistry, and mass spectrometry. J Proteome Res 4:2070–2080

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  6. Zhang H, Li XJ, Martin DB, Aebersold R (2003) Identification and quantification of N-linked glycoproteins using hydrazide chemistry, stable isotope labeling and mass spectrometry. Nat Biotechnol 21:660–666

    Article  CAS  PubMed  Google Scholar 

  7. Kaji H, Saito H, Yamauchi Y, Shinkawa T, Taoka M, Hirabayashi J, Kasai K, Takahashi N, Isobe T (2003) Lectin affinity capture, isotope-coded tagging and mass spectrometry to identify N-linked glycoproteins. Nat Biotechnol 21:667–672

    Article  CAS  PubMed  Google Scholar 

  8. Qiu R, Regnier FE (2005) Use of multidimensional lectin affinity chromatography in differential glycoproteomics. Anal Chem 77: 2802–2809

    Article  CAS  PubMed  Google Scholar 

  9. Yang Z, Hancock WS (2004) Approach to the comprehensive analysis of glycoproteins isolated from human serum using a multi-lectin affinity column. J Chromatogr A 1053:79–88

    Article  CAS  PubMed  Google Scholar 

  10. Jung K, Cho W, Regnier FE (2009) Glycoproteomics of plasma based on narrow selectivity lectin affinity chromatography. J Proteome Res 8:643–650

    Article  CAS  PubMed  Google Scholar 

  11. Lee HJ, Na K, Choi EY, Kim KS, Kim H, Paik YK (2010) Simple method for quantitative analysis of N-linked glycoproteins in hepatocellular carcinoma specimens. J Proteome Res 9:308–318

    Article  CAS  PubMed  Google Scholar 

  12. Lei Z, Beuerman RW, Chew AP, Koh SK, Cafaro TA, Urrets-Zavalia EA, Urrets-Zavalia JA, Li SF, Serra HM (2009) Quantitative analysis of N-linked glycoproteins in tear fluid of climatic droplet keratopathy by glycopeptide capture and iTRAQ. J Proteome Res 8: 1992–2003

    Article  PubMed  Google Scholar 

  13. Wilson CR, Regnier FE, Knapp DW, Raskin RE, Andrews DA, Hooser SB (2008) Glycoproteomic profiling of serum peptides in canine lymphoma and transitional cell carcinoma. Vet Comp Oncol 6:171–181

    Article  CAS  PubMed  Google Scholar 

  14. Ueda K, Katagiri T, Shimada T, Irie S, Sato TA, Nakamura Y, Daigo Y (2007) Comparative profiling of serum glycoproteome by sequential purification of glycoproteins and 2-nitrobenzensulfenyl (NBS) stable isotope labeling: a new approach for the novel biomarker discovery for cancer. J Proteome Res 6:3475–3483

    Article  CAS  PubMed  Google Scholar 

  15. Liu Z, Cao J, He Y, Qiao L, Xu C, Lu H, Yang P (2010) Tandem 18O stable isotope labeling for quantification of N-glycoproteome. J Proteome Res 9:227–236

    Article  CAS  PubMed  Google Scholar 

  16. Wollscheid B, Bausch-Fluck D, Henderson C, O’Brien R, Bibel M, Schiess R, Aebersold R, Watts JD (2009) Mass-spectrometric identification and relative quantification of N-linked cell surface glycoproteins. Nat Biotechnol 27:378–386

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  17. Pan S, Tamura Y, Chen R, May D, McIntosh MW, Brentnall TA (2012) Large-scale quantitative glycoproteomics analysis of site-specific glycosylation occupancy. Mol Biosyst 8: 2850–2856

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  18. Hsu JL, Huang SY, Chow NH, Chen SH (2003) Stable-isotope dimethyl labeling for quantitative proteomics. Anal Chem 75: 6843–6852

    Article  CAS  PubMed  Google Scholar 

  19. Sparbier K, Koch S, Kessler I, Wenzel T, Kostrzewa M (2005) Selective isolation of glycoproteins and glycopeptides for MALDI-TOF MS detection supported by magnetic particles. J Biomol Tech 16:407–413

    PubMed Central  PubMed  Google Scholar 

  20. Alvarez-Manilla G, Atwood J III, Guo Y, Warren NL, Orlando R, Pierce M (2006) Tools for glycoproteomic analysis: size exclusion chromatography facilitates identification of tryptic glycopeptides with N-linked glycosylation sites. J Proteome Res 5:701–708

    Article  CAS  PubMed  Google Scholar 

  21. Hagglund P, Bunkenborg J, Elortza F, Jensen ON, Roepstorff P (2004) A new strategy for identification of N-glycosylated proteins and unambiguous assignment of their glycosylation sites using HILIC enrichment and partial deglycosylation. J Proteome Res 3:556–566

    Article  PubMed  Google Scholar 

  22. Larsen MR, Hojrup P, Roepstorff P (2005) Characterization of gel-separated glycoproteins using two-step proteolytic digestion combined with sequential microcolumns and mass spectrometry. Mol Cell Proteomics 4:107–119

    Article  CAS  PubMed  Google Scholar 

  23. Craig R, Beavis RC (2004) TANDEM: matching proteins with tandem mass spectra. Bioinformatics 20:1466–1467

    Article  CAS  PubMed  Google Scholar 

  24. Keller A, Eng J, Zhang N, Li XJ, Aebersold R (2005) A uniform proteomics MS/MS analysis platform utilizing open XML file formats. Mol Syst Biol 1:2005

    Article  PubMed Central  PubMed  Google Scholar 

  25. Keller A, Nesvizhskii AI, Kolker E, Aebersold R (2002) Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. Anal Chem 74:5383–5392

    Article  CAS  PubMed  Google Scholar 

  26. May D, Law W, Fitzgibbon M, Fang Q, McIntosh M (2009) Software platform for rapidly creating computational tools for mass spectrometry-based proteomics. J Proteome Res 8:3212–3217

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  27. Nesvizhskii AI, Vitek O, Aebersold R (2007) Analysis and validation of proteomic data generated by tandem mass spectrometry. Nat Methods 4:787–797

    Article  CAS  PubMed  Google Scholar 

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Acknowledgment

This work was supported in part with federal funds from the National Institutes of Health under grants K25CA137222 and R21CA149772.

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Correspondence to Sheng Pan Ph.D. .

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Pan, S. (2014). Quantitative Glycoproteomics for N-Glycoproteome Profiling. In: Martins-de-Souza, D. (eds) Shotgun Proteomics. Methods in Molecular Biology, vol 1156. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-0685-7_25

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  • DOI: https://doi.org/10.1007/978-1-4939-0685-7_25

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-0684-0

  • Online ISBN: 978-1-4939-0685-7

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