Related Experiment Video
Updated: Aug 5, 2026
13:53
Homogeneous Glycoconjugate Produced by Combined Unnatural Amino Acid Incorporation and Click-Chemistry for Vaccine Purposes
Published on: December 19, 2020
Site-Specific Glycosylation Profiling of Protein Subunit and Inactivated Virus Vaccines
Zachary C Goecker1, Meghan C Burke1, Yi Liu1
1Mass Spectrometry Data Center, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA.
Vaccines
|July 27, 2026
Summary
Glycopeptide abundance distribution spectra offer a quantitative method to compare site-specific glycosylation profiles in vaccines. Production source significantly impacts glycosylation variation, while replicates and suppliers within the same platform show high consistency.
Area of Science:
- Biochemistry and Biotechnology
- Vaccine Development
- Analytical Chemistry
Background:
- Glycosylation significantly influences vaccine antigen structure, function, and quality.
- Quantitative methods for comparing site-specific glycan microheterogeneity in vaccines are limited.
- Site-specific glycan characterization is crucial for antigen quality and comparability.
Purpose of the Study:
- To evaluate the glycopeptide abundance distribution spectra framework for measuring similarity in site-specific glycosylation profiles.
- To compare glycosylation profiles of vaccine antigens and reference reagents across different manufacturing conditions.
- To establish a quantitative approach for assessing glycosylation microheterogeneity in vaccines.
Main Methods:
- Intact N-linked glycopeptides were analyzed using nanoflow liquid chromatography-tandem mass spectrometry with stepped-energy fragmentation.
- Site-specific glycan distributions were represented as distribution spectra.
- Similarity was quantified using dot-product scores derived from NIST MS Search software.
Main Results:
- Glycosylation distributions clustered into six recurrent classes across measured sites.
- High similarity was observed for replicate analyses, conserved influenza components, and matched suppliers within the same production platform (scores > 960).
- Production source was the dominant contributor to glycosylation variation, with egg- and MDCK-derived profiles showing the most similarity.
Conclusions:
- Distribution spectra-based similarity scoring provides a quantitative and reusable method for documenting site-specific glycosylation microheterogeneity in vaccine glycoproteins.
- Production source is the primary driver of variation in vaccine glycosylation.
- Replicates, annual formulations, and suppliers within the same production platform demonstrate high consistency in glycosylation profiles.
