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Multi-laboratory experiment PME11 for the standardization of phosphoproteome analysis
ProteoRed-ISCIII, Vall d'Hebron Institute of Oncology (VHIO), Barcelona 08035, Spain.
ProteoRed-ISCIII, Instituto de Investigaciones Biomédicas de Barcelona, IIBB-CSIC/IDIBAPS, 08036 Barcelona, Spain.
ProteoRed-ISCIII, Proteomics Core Facility-SGIKER, University of the Basque Country (UPV/EHU), Leioa, Spain.
Department of Biochemistry and Molecular Biology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Spain.
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2022 (English)In: Journal of Proteomics, ISSN 1874-3919, E-ISSN 1876-7737, Vol. 251, article id 104409Article in journal (Refereed) Published
Abstract [en]

Global analysis of protein phosphorylation by mass spectrometry proteomic techniques has emerged in the last decades as a powerful tool in biological and biomedical research. However, there are several factors that make the global study of the phosphoproteome more challenging than measuring non-modified proteins. The low stoichiometry of the phosphorylated species and the need to retrieve residue specific information require particular attention on sample preparation, data acquisition and processing to ensure reproducibility, qualitative and quantitative robustness and ample phosphoproteome coverage in phosphoproteomic workflows. Aiming to investigate the effect of different variables in the performance of proteome wide phosphoprotein analysis protocols, ProteoRed-ISCIII and EuPA launched the Proteomics Multicentric Experiment 11 (PME11). A reference sample consisting of a yeast protein extract spiked in with different amounts of a phosphomix standard (Sigma/Merck) was distributed to 31 laboratories around the globe. Thirty-six datasets from 23 laboratories were analyzed. Our results indicate the suitability of the PME11 reference sample to benchmark and optimize phosphoproteomics strategies, weighing the influence of different factors, as well as to rank intra and inter laboratory performance.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 251, article id 104409
Keywords [en]
Biochemistry, Biophysics
National Category
Bioinformatics and Computational Biology Biochemistry Molecular Biology Cell Biology
Research subject
Biochemistry; Analytical Chemistry
Identifiers
URN: urn:nbn:se:umu:diva-189495DOI: 10.1016/j.jprot.2021.104409ISI: 000721676300010PubMedID: 34758407Scopus ID: 2-s2.0-85122488032OAI: oai:DiVA.org:umu-189495DiVA, id: diva2:1610988
Available from: 2021-11-12 Created: 2021-11-12 Last updated: 2025-02-20Bibliographically approved

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Kieselbach, Thomas

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