Diversity Matters: Optimal Collision Energies for Tandem Mass Spectrometric Analysis of a Large Set of N-Glycopeptides

Autor:	Helga Hevér, Kinga Nagy, Andrea Xue, Simon Sugár, Kinga Komka, Károly Vékey, László Drahos, Ágnes Révész
Rok vydání:	2022
Předmět:	Proteomics Glycosylation Tandem Mass Spectrometry Glycopeptides General Chemistry Peptides Biochemistry Glycoproteins
Zdroj:	Journal of Proteome Research. 21:2743-2753
ISSN:	1535-3907 1535-3893
DOI:	10.1021/acs.jproteome.2c00519
Popis:	Identification and characterization of N-glycopeptides from complex samples are usually based on tandem mass spectrometric measurements. Experimental settings, especially the collision energy selection method, fundamentally influence the obtained fragmentation pattern and hence the confidence of the database search results ("score"). Using standards of naturally occurring glycoproteins, we mapped the Byonic and pGlyco search engine scores of almost 200 individual N-glycopeptides as a function of collision energy settings on a quadrupole time of flight instrument. The resulting unprecedented amount of peptide-level information on such a large and diverse set of N-glycopeptides revealed that the peptide sequence heavily influences the energy for the highest score on top of an expected general linear trend with
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bde11339e22b5d0ae3bd3fe02cd14bd https://doi.org/10.1021/acs.jproteome.2c00519 Zobrazit plný text záznamu