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February 2, 2026Analytical Chemistry0 citations

Spectral Quality-Guided Optimization of Hybrid EAciD Fragmentation on the ZenoTOF 7600 System Enables Efficient Characterization of the Serum N -Glycoproteome

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SJShelley JagerTSTatiana M. ShamorkinaSHSibylle Heidelberger

Key Points

  • To optimize fragmentation methods for the analysis of N-glycopeptides using the ZenoTOF 7600 system.
  • Developed a hybrid fragmentation method (EAciD) combining electron-activated dissociation and collision-induced dissociation.
  • Analyzed serum samples from healthy donors and patients with pancreatic cancer or hepatocellular carcinoma.
  • Used the ZenoTOF 7600 mass spectrometry system to detect glycopeptides.
  • Successfully detected around 1900 glycopeptides per sample.
  • EAciD enhanced the sequencing and identification of large, structurally complex N-glycopeptides.
  • Identified disease-specific N-glycopeptide signatures linked to changes in fucosylation.

Abstract

The analysis of N-glycopeptides using mass spectrometry comes with numerous challenges, one of which is the unique fragmentation features associated with glycopeptides. Generally, low energy collision-based fragmentation can provide valuable information by the glycan-related B- and Y-ions but often at the expense of peptide backbone coverage. On the other hand, while electron-based fragmentation methods provide good peptide backbone coverage and allow glycan localization, they do not generate sufficient structural details on the glycans by missing B- and Y-ions. Here, we systematically optimized a ZenoTOF 7600 system employing electron-activated dissociation (EAD) as an alternative electron-based fragmentation method. Combined with collision-induced dissociation (CID), hybrid fragmentation (EAciD) on N-glycopeptides generated information-rich MS2 spectra that improved the identification of N-glycopeptides in complex samples. We applied this method to a small cohort of blood donors, analyzing glycopeptide-enriched blood samples of healthy donors and patients suffering from pancreatic cancer or hepatocellular carcinoma. On the ZenoTOF 7600 system, we were able to efficiently detect ∼1900 glycopeptides per sample. EAciD especially performed well in sequencing and identifying very large N-glycopeptides carrying sizable and structurally complex glycan moieties. This allowed us to observe disease-specific N-glycopeptide signatures on numerous highly abundant blood proteins, mostly related to changes in fucosylation and complex extended glycoforms.

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Cite This Study

Jager et al. (2026) studied this question.

synapsesocial.com/papers/6980fd18c1c9540dea80ed0ahttps://doi.org/10.1021/acs.analchem.5c04479
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