Summary

N-glycan Profiling of Glycoproteins by Hydrophilic Interaction Liquid Chromatography with Fluorescence and Mass Spectrometric Detection

Published: September 25, 2021
doi:

Summary

N-glycan profiling of glycoproteins is essential for discovering novel biomarkers and understanding glycan functions in cellular events. Additionally, N-glycan analysis of protein biopharmaceuticals is very important for human use. In this current article, a high-throughput strategy for identifying and quantifying N-glycan structures was presented using the HILIC-FLD-MS/MS technique.

Abstract

Glycosylation is a vital modification found in proteins. N-glycan profiling of glycoproteins is required to detect novel biomarker candidates and determine glycan alterations in diseases. Most commercially available biopharmaceutical proteins are glycoproteins. The efficacy of these drugs is affected by glycosylation patterns. Therefore, an in-depth characterization method for the N-glycans is necessary. Here, we present a comprehensive approach for qualitative and quantitative analysis of N-glycans using hydrophilic interaction liquid chromatography equipped with fluorescence detection and tandem mass spectrometry (HILIC-FLD-MS/MS). N-glycans were released from glycoproteins with a facile method and labeled by a procainamide fluorophore tag in the strategy. Subsequently, the procainamide labeled N-glycans were analyzed by a HILIC-FLD-MS/MS technique. In this approach, N-glycan structures were confirmed by the tandem mass spectrometric analysis, whereas fluorescence detection was used for the quantitative analysis. An application for data analysis of the detected N-glycan peaks is described in the study. This protocol can be applied to any glycoprotein extracted from various species.

Introduction

Glycosylation is a vital post-translational modification observed in proteins1. Multiple enzymatical processes regulate glycosylation modification in cellular organisms. Glycans are attached to the proteins by these enzymatical processes, and the proteins subjected to this modification are called glycoproteins1. Two glycosylation types are commonly observed in proteins. O-glycosylation is the attachment of O-glycans to the side chain of serine or threonine amino acid residues. N-glycosylation is the attachment of N-glycans to the side chain of asparagine amino acid residue in a protein.

The structure, stability, and folding of the proteins are affected by glycan attachments2. The glycosylation process dramatically influences the functions of the proteins, and glycoproteins regulate many cellular functions in organisms3,4. For example, heavily glycosylated proteins protect their glycoproteins from proteolytic degradation5. Another example is glycans of thyroid gland proteins that regulate Tg transport and hormone synthesis6,7. To explain their roles in cellular events, an in-depth characterization of glycoproteins is required8.

N-glycan profiles of the glycoproteins change in disease situations9,10,11,12. Profiling N-glycans derived from crucial glycoproteins or body fluids is required to discover novel biomarkers and understand the enzymatic activity changes in disease cases. On the other hand, most protein biopharmaceuticals are glycoproteins, and their glycan profiles influence drug efficacy13. Therefore, an acceptable method of N-glycan profiling must be performed in developing proper protein biopharmaceuticals for human use14.

Glycomics is an emerging discipline used to identify and quantify glycan structures of glycosylated molecules15,16. Many methods have been utilized for profiling the glycans of glycosylated species, including NMR17 and MS18. Hydrophilic Interaction Liquid Chromatography-with Fluorescence Detection (HPLC-HILIC-FLD) is the gold standard method for profiling N-glycans derived from glycoproteins19. When this strategy is combined with mass spectrometric detection, identifying N-glycan structures could be easier and more reliable. Most fluorescence tags used in N-glycan analysis with mass spectrometry have low ionization efficiencies. In contrast, procainamide increases the ionization efficiencies of N-glycans, which is used to obtain efficient tandem mass spectra of N-glycan structures20,21. Specific fragments can be obtained from this strategy by tandem mass spectrometry for the structural identification of N-glycans such as core fucosylated22 (proc-HexNAc1Fuc1) and bisecting types23 (proc-Hex1HexNAc3, proc-Hex1HexNAc3Fuc1).

This study demonstrates a facile protocol for the N-glycan profiling of glycoproteins with HILIC-FLD-MS/MS. The presented method includes four steps: (1) releasing of N-glycans from glycoproteins (2) labeling of N-glycans by a procainamide tag (3) purification of the procainamide labeled N-glycans, and (4) data analysis.

Protocol

NOTE: The human plasma used is commercially available (Table of Materials). No further biological samples obtained from humans were used. 1. ​Glycan release Denaturation of (glyco-)proteins Prepare the glycoprotein standards (e.g., IgG, a monoclonal antibody) at a concentration of a 10 µg·µL-1 in deionized H2O. For human plasma, the concentration used is 70 µg·µL-1. NOTE: The s…

Representative Results

In this presented approach, the N-glycans were first released, labeled by the procainamide tag and purified by cellulose-containing SPE cartridges. Then, N-glycan analysis of IgG, trastuzumab, and human plasma were performed by an HPLC-HILIC-FLD-MS/MS system. The MS (base peak) and FLD chromatograms of the determined N-glycan structures obtained from IgG and trastuzumab are shown in Figure 1, respectively. The MS/MS data obtained from these analyses were imported t…

Discussion

N-glycan profiling of glycoproteins includes challenging steps. Although there are many different methodologies for this purpose, a suitable approach should be selected for both identification and quantification of N-glycan structures14. HILIC-FLD is the gold standard approach for the quantification of N-glycans. However, identification of all N-glycan types by FLD detection is not achieved. Therefore, tandem MS analysis is needed for confirming N-glyca…

Disclosures

The authors have nothing to disclose.

Acknowledgements

This work was partly supported by the Ministry of Development-Republic of Turkey with project number: 2016 K121230. Bekir Salih gratefully acknowledges the Turkish Academy of Science (TUBA) for the partial financial support.

Materials

Acetic acid Carlo Erba Reagents 401413 Glacial RS For LC/MS
Acetonitrile Merck 1000292500 LC-MS LiChrosolv
Agilent 1200 Series HPLC with 1260 Series FLD dedector Agilent Technologies
Ammoniumm Formate Carlo Erba Reagents 419741 For LC/MS
Bruker TIMS-TOF (Q-TOF) Mass Spectrometry Bruker Daltonics
Cellulose Sigma Aldrich 310697 microcrystalline, powder, 20 μm
Deionized Water Carlo Erba Reagents 412111 For LC/MS
Dimethyl sulfoxide Sigma Aldrich 41639 BioUltra, for molecular biology, ≥99.5% (GC)
Empty polypropylene SPE Tube with PE frits Sigma Aldrich 54220 20 μm porosity,volume 1 mL
Extraction Manifold, 20-position Waters WAT200607 Complete with rack for 13 x 100 mm tubes
Human Plasma Sigma Aldrich P9523 lyophilized
IGEPAL CA-630 Sigma Aldrich I8896 for molecular biology
IgG Sigma Aldrich I4506 lyophilized powder
Phosphate buffered saline Sigma Aldrich P4417 Tablet
PNGase F enzyme Promega V483A
Procainamide hydrochloride abcam ab120955
Sodium cyanoborohydride Sigma Aldrich 156159 reagent grade, 95%
Sodium dodecyl sulfate Sigma Aldrich 71725
trastuzumab Roche Diagnostics
Trifluoroacetic acid Sigma Aldrich 302031 for HPLC, ≥99.9%

References

  1. Dwek, R. A. Glycobiology: Toward understanding the function of sugars. Chemical Reviews. 96 (2), 683-720 (1996).
  2. Varki, A. Biological roles of glycans. Glycobiology. 27 (1), 3-49 (2016).
  3. Spiro, R. G. Protein glycosylation: nature, distribution, enzymatic formation, and disease implications of glycopeptide bonds. Glycobiology. 12 (4), 43 (2002).
  4. Apweiler, R., Hermjakob, H., Sharon, N. On the frequency of protein glycosylation, as deduced from analysis of the SWISS-PROT database. Biochimica et Biophysica Acta. 1473 (1), 4-8 (1999).
  5. Stavenhagen, K., et al. and O-glycosylation Analysis of Human C1-inhibitor Reveals Extensive Mucin-type O-Glycosylation. Molecular & Cellular Proteomics. 17 (6), 1225-1238 (2018).
  6. Ząbczyńska, M., Kozłowska, K., Pocheć, E. Glycosylation in the Thyroid Gland: Vital Aspects of Glycoprotein Function in Thyrocyte Physiology and Thyroid Disorders. International Journal of Molecular Sciences. 19 (9), (2018).
  7. Mallet, B., et al. N-Glycans Modulate in Vivo and in Vitro Thyroid Hormone Synthesis: Study at the N-Terminal Domain Of Thyroglobulin. Journal of Biological Chemistry. 270 (50), 29881-29888 (1995).
  8. Dong, X., et al. Advances in mass spectrometry-based glycomics. Electrophoresis. 39 (24), 3063-3081 (2018).
  9. Ohtsubo, K., Marth, J. D. Glycosylation in cellular mechanisms of health and disease. Cell. 126 (5), 855-867 (2006).
  10. Koçak, &. #. 2. 1. 4. ;. F., et al. N-glycan profiling of papillary thyroid carcinoma tissues by MALDI-TOF-MS. Analytical Biochemistry. 584, 113389 (2019).
  11. Peng, W., et al. Clinical application of quantitative glycomics. Expert Review of Proteomics. 15 (12), 1007-1031 (2018).
  12. Yaman, M. E., Kayili, H. M., Albayrak, M., Kadioglu, Y., Salih, B. Differential N-glycosylation profiling of formalin-fixed paraffin-embedded (FFPE) invasive ductal carcinoma tissues using MALDI-TOF-MS. Molecular Omics. 17 (3), 394-404 (2021).
  13. Liu, L. Antibody Glycosylation and Its Impact on the Pharmacokinetics and Pharmacodynamics of Monoclonal Antibodies and Fc-Fusion Proteins. Journal of Pharmaceutical Sciences. 104 (6), 1866-1884 (2015).
  14. Zhang, L., Luo, S., Zhang, B. Glycan analysis of therapeutic glycoproteins. mAbs. 8 (2), 205-215 (2016).
  15. Hart, G. W., Copeland, R. J. Glycomics Hits the Big Time. Cell. 143 (5), 672-676 (2010).
  16. West, C. M., Malzl, D., Hykollari, A., Wilson, I. B. H. Glycomics, Glycoproteomics, Glycogenomics: An Inter-Taxa Evolutionary Perspective. Molecular & Cellular Proteomics. 20, 100024 (2021).
  17. Unione, L., et al. Glycoprofile Analysis of an Intact Glycoprotein As Inferred by NMR Spectroscopy. ACS Central Science. 5 (9), 1554-1561 (2019).
  18. Morelle, W., Michalski, J. -. C. Analysis of protein glycosylation by mass spectrometry. Nature Protocols. 2 (7), 1585-1602 (2007).
  19. Reusch, D., et al. Comparison of methods for the analysis of therapeutic immunoglobulin G Fc-glycosylation profiles–part 1: separation-based methods. mAbs. 7 (1), 167-179 (2015).
  20. Keser, T., Pavić, T., Lauc, G., Gornik, O. Comparison of 2-Aminobenzamide, Procainamide and RapiFluor-MS as Derivatizing Agents for High-Throughput HILIC-UPLC-FLR-MS N-glycan Analysis. Frontiers in Chemistry. 6, 324 (2018).
  21. Kozak, R. P., Tortosa, C. B., Fernandes, D. L., Spencer, D. I. R. Comparison of procainamide and 2-aminobenzamide labeling for profiling and identification of glycans by liquid chromatography with fluorescence detection coupled to electrospray ionization-mass spectrometry. Analytical Biochemistry. 486, 38-40 (2015).
  22. Nwosu, C., Yau, H. K., Becht, S. Assignment of Core versus Antenna Fucosylation Types in Protein N-Glycosylation via Procainamide Labeling and Tandem Mass Spectrometry. Analytical Chemistry. 87 (12), 5905-5913 (2015).
  23. Kayili, H. M. Identification of bisecting N-glycans in tandem mass spectra using a procainamide labeling approach for in-depth N-glycan profiling of biological samples. International Journal of Mass Spectrometry. 457, 116412 (2020).
  24. Jansen, B. C., et al. HappyTools: A software for high-throughput HPLC data processing and quantitation. PLOS ONE. 13 (7), 0200280 (2018).
  25. Ruhaak, L. R., et al. Glycan labeling strategies and their use in identification and quantification. Analytical and bioanalytical chemistry. 397 (8), 3457-3481 (2010).
  26. Rojas-Macias, M. A., et al. Towards a standardized bioinformatics infrastructure for N- and O-glycomics. Nature Communications. 10 (1), 3275 (2019).
  27. Everest-Dass, A. V., Abrahams, J. L., Kolarich, D., Packer, N. H., Campbell, M. P. Structural feature ions for distinguishing N- and O-linked glycan isomers by LC-ESI-IT MS/MS. Journal of the American Society for Mass Spectrometry. 24 (6), 895-906 (2013).
  28. Li, X., Xu, Z., Hong, X., Zhang, Y., Zou, X. Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics. International Journal of Molecular Sciences. 21 (18), 6727 (2020).
  29. Qing, G., Yan, J., He, X., Li, X., Liang, X. Recent advances in hydrophilic interaction liquid interaction chromatography materials for glycopeptide enrichment and glycan separation. TrAC Trends in Analytical Chemistry. 124, 115570 (2020).
  30. Reiding, K. R., et al. Human Plasma N-glycosylation as Analyzed by Matrix-Assisted Laser Desorption/Ionization-Fourier Transform Ion Cyclotron Resonance-MS Associates with Markers of Inflammation and Metabolic Health. Molecular & Cellular Proteomics. 16 (2), 228-242 (2017).
This article has been published
Video Coming Soon
Keep me updated:

.

Cite This Article
Kayili, H. M., Salih, B. N-glycan Profiling of Glycoproteins by Hydrophilic Interaction Liquid Chromatography with Fluorescence and Mass Spectrometric Detection. J. Vis. Exp. (175), e62751, doi:10.3791/62751 (2021).

View Video