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Glycan size and attachment site location affect electron transfer dissociation (ETD) fragmentation and automated glycopeptide identification.
Alagesan, Kathirvel; Hinneburg, Hannes; Seeberger, Peter H; Silva, Daniel Varón; Kolarich, Daniel.
Afiliación
  • Alagesan K; Institute for Glycomics, Griffith University, Building G26, Gold Coast Campus, Southport, QLD, 4222, Australia.
  • Hinneburg H; Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany.
  • Seeberger PH; Institute of Chemistry and Biochemistry, Freie Universität Berlin, 14195, Berlin, Germany.
  • Silva DV; Department of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany.
  • Kolarich D; Institute of Chemistry and Biochemistry, Freie Universität Berlin, 14195, Berlin, Germany.
Glycoconj J ; 36(6): 487-493, 2019 12.
Article en En | MEDLINE | ID: mdl-31637569
We established a small synthetic N-glycopeptide library to systematically evaluate the effect of glycosylation site location and glycan size on the efficiency of electron transfer dissociation (ETD) fragmentation and subsequent automated identification. The glycopeptides within this library differed in glycosylation site position and glycan size ranging from the pentasaccharide N-glycan core to fully sialylated, biantennary N-glycans. Factors such as glycan size, glycosylation site position within a glycopeptide and individual precursor m/z all significantly impacted the number and quality of assignable glycopeptide backbone fragments. Generally, high charge/low m/z precursors (>3+) and glycopeptides carrying neutral, smaller N-glycans gave better product ion spectra, while hardly any product ions were detectable for sialylated, triply charged N-glycopeptides. These factors impacted correct glycopeptide identification by proteomics software tools such as SEQUEST or Amanda. A better understanding how glycopeptide physico-chemical properties influence fragmentation will help optimizing fragmentation conditions and generate better data, which will facilitate software assisted glycopeptide data analyses.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polisacáridos / Glicopéptidos / Secuencia de Aminoácidos / Proteómica Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Glycoconj J Asunto de la revista: BIOQUIMICA / METABOLISMO Año: 2019 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polisacáridos / Glicopéptidos / Secuencia de Aminoácidos / Proteómica Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Glycoconj J Asunto de la revista: BIOQUIMICA / METABOLISMO Año: 2019 Tipo del documento: Article País de afiliación: Australia
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