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Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries.
Bekker-Jensen, Dorte B; Bernhardt, Oliver M; Hogrebe, Alexander; Martinez-Val, Ana; Verbeke, Lynn; Gandhi, Tejas; Kelstrup, Christian D; Reiter, Lukas; Olsen, Jesper V.
Affiliation
  • Bekker-Jensen DB; Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3b, 2200, Copenhagen, Denmark.
  • Bernhardt OM; Biognosys AG, Wagistrasse 21, 8952, Schlieren, Switzerland.
  • Hogrebe A; Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3b, 2200, Copenhagen, Denmark.
  • Martinez-Val A; Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3b, 2200, Copenhagen, Denmark.
  • Verbeke L; Biognosys AG, Wagistrasse 21, 8952, Schlieren, Switzerland.
  • Gandhi T; Biognosys AG, Wagistrasse 21, 8952, Schlieren, Switzerland.
  • Kelstrup CD; Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3b, 2200, Copenhagen, Denmark.
  • Reiter L; Biognosys AG, Wagistrasse 21, 8952, Schlieren, Switzerland.
  • Olsen JV; Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3b, 2200, Copenhagen, Denmark. jesper.olsen@cpr.ku.dk.
Nat Commun ; 11(1): 787, 2020 02 07.
Article de En | MEDLINE | ID: mdl-32034161
ABSTRACT
Quantitative phosphoproteomics has transformed investigations of cell signaling, but it remains challenging to scale the technology for high-throughput analyses. Here we report a rapid and reproducible approach to analyze hundreds of phosphoproteomes using data-independent acquisition (DIA) with an accurate site localization score incorporated into Spectronaut. DIA-based phosphoproteomics achieves an order of magnitude broader dynamic range, higher reproducibility of identification, and improved sensitivity and accuracy of quantification compared to state-of-the-art data-dependent acquisition (DDA)-based phosphoproteomics. Notably, direct DIA without the need of spectral libraries performs close to analyses using project-specific libraries, quantifying > 20,000 phosphopeptides in 15 min single-shot LC-MS analysis per condition. Adaptation of a 3D multiple regression model-based algorithm enables global determination of phosphorylation site stoichiometry in DIA. Scalability of the DIA approach is demonstrated by systematically analyzing the effects of thirty kinase inhibitors in context of epidermal growth factor (EGF) signaling showing that specific protein kinases mediate EGF-dependent phospho-regulation.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Phosphopeptides / Protein kinases / Algorithmes / Biologie informatique / Protéomique / Spectrométrie de masse en tandem Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Nat Commun Sujet du journal: BIOLOGIA / CIENCIA Année: 2020 Type de document: Article Pays d'affiliation: Danemark

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Phosphopeptides / Protein kinases / Algorithmes / Biologie informatique / Protéomique / Spectrométrie de masse en tandem Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Nat Commun Sujet du journal: BIOLOGIA / CIENCIA Année: 2020 Type de document: Article Pays d'affiliation: Danemark
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