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Quantitative proteome-wide O-glycoproteomics analysis with FragPipe.
Polasky, Daniel A; Lu, Lei; Yu, Fengchao; Li, Kai; Shortreed, Michael R; Smith, Lloyd M; Nesvizhskii, Alexey I.
Affiliation
  • Polasky DA; Department of Pathology, University of Michigan, Ann Arbor, MI, USA. dpolasky@umich.edu.
  • Lu L; Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
  • Yu F; Department of Pharmaceutical Chemistry, University of San Francisco, San Francisco, CA, USA.
  • Li K; Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
  • Shortreed MR; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
  • Smith LM; Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
  • Nesvizhskii AI; Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Anal Bioanal Chem ; 2024 Jun 15.
Article de En | MEDLINE | ID: mdl-38877149
ABSTRACT
Identification of O-glycopeptides from tandem mass spectrometry data is complicated by the near complete dissociation of O-glycans from the peptide during collisional activation and by the combinatorial explosion of possible glycoforms when glycans are retained intact in electron-based activation. The recent O-Pair search method provides an elegant solution to these problems, using a collisional activation scan to identify the peptide sequence and total glycan mass, and a follow-up electron-based activation scan to localize the glycosite(s) using a graph-based algorithm in a reduced search space. Our previous O-glycoproteomics methods with MSFragger-Glyco allowed for extremely fast and sensitive identification of O-glycopeptides from collisional activation data but had limited support for site localization of glycans and quantification of glycopeptides. Here, we report an improved pipeline for O-glycoproteomics analysis that provides proteome-wide, site-specific, quantitative results by incorporating the O-Pair method as a module within FragPipe. In addition to improved search speed and sensitivity, we add flexible options for oxonium ion-based filtering of glycans and support for a variety of MS acquisition methods and provide a comparison between all software tools currently capable of O-glycosite localization in proteome-wide searches.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Anal Bioanal Chem / Anal. bioanal. chem / Analytical and bioanalytical chemistry Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Allemagne

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Anal Bioanal Chem / Anal. bioanal. chem / Analytical and bioanalytical chemistry Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Allemagne