MassIVE MSV000098519

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Spectral quality guided optimization of hybrid EAciD fragmentation on the ZenoTOF 7600 system

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Description

Systematically optimized N-glycoproteomics method combining EAD and CID on the ZenoTOF 7600. Several dynamic CID parameters were optimized, next EAD was added using different kinetic energy values. Optimization was performed on glycopeptide enriched human plasma. After optimization, the method was tested on a small cohort of cancer patient sera. [doi:10.25345/C55Q4S01T] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: N-glycoproteomics ; hybrid fragmentation ; optimization ; DatasetType:Other (glycoproteomics)

Contact

Principal Investigators:
(in alphabetical order) 		A.J.R. Heck, Utrecht University, Netherlands
Submitting User: ShelleyJager

Publications

Shelley Jager, Tatiana M. Shamorkina, Sibylle M. Heidelberger, Patrick A. Pribil, Douwe Schulte, Karli R. Reiding, Albert J.R. Heck.
Spectral Quality-Guided Optimization of Hybrid EAciD Fragmentation on the ZenoTOF 7600 System Enables Efficient Characterization of the Serum N-Glycoproteome.
Anal Chem. 2026 Jan 29. doi: 10.1021/acs.analchem.5c04479. Epub ahead of print. PMID: 41609577.

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