Combined enzymatic and data mining approaches for comprehensive phosphoproteome analyses

application to cell signaling events of interferon-gamma-stimulated macrophages

Maria Marcantonio, Matthias Trost, Mathieu Courcelles, Michel Desjardins, Pierre Thibault

    Research output: Contribution to journalArticle

    46 Citations (Scopus)

    Abstract

    Protein phosphorylation is a central cell signaling event that underlies a broad spectrum of key physiological processes. Advances in affinity chromatography and mass spectrometry are now providing the ability to identify and quantitate thousands of phosphorylation sites simultaneously. Comprehensive phosphoproteome analyses present sizable analytical challenges in view of suppression effects of phosphopeptides and the variable quality of MS/MS spectra. This work presents an integrated enzymatic and data mining approach enabling the comprehensive detection of native and putative phosphopeptides following alkaline phosphatase digestion of titanium dioxide (TiO2)-enriched cell extracts. The correlation of retention times of more than 750 phospho- and dephosphopeptide pairs from J774 macrophage cell extracts indicated that removal of the phosphate groups can impart a gain or a loss in hydrophobicity that is partly explained by the formation of a salt bridge with proximal amino groups. Dephosphorylation also led to an average 2-fold increase in MS sensitivity that facilitated peptide sequencing. More importantly, alkaline phosphatase digestion enhanced the overall population of putative phosphopeptides from TiO2-enriched cell extracts providing a unique approach to profile multiphosphorylated cognates that would have remained otherwise undetected. The application of this approach is demonstrated for differential phosphoproteome analyses of mouse macrophages exposed to interferon-gamma for 5 min. TiO2 enrichment enabled the identification of 1143 phosphopeptides from 432 different proteins of which 125 phosphopeptides showed a 2-fold change upon interferon-gamma exposure. The use of alkaline phosphatase nearly doubled the number of putative phosphopeptides assignments leading to the observation of key interferon-gamma signaling events involved in vesicle trafficking, production of reactive oxygen species, and mRNA translation.

    Original languageEnglish
    Pages (from-to)645-660
    Number of pages16
    JournalMolecular & Cellular Proteomics
    Volume7
    Issue number4
    Early online date14 Nov 2007
    DOIs
    Publication statusPublished - 1 Apr 2008

    Cite this

    Marcantonio, Maria ; Trost, Matthias ; Courcelles, Mathieu ; Desjardins, Michel ; Thibault, Pierre. / Combined enzymatic and data mining approaches for comprehensive phosphoproteome analyses : application to cell signaling events of interferon-gamma-stimulated macrophages. In: Molecular & Cellular Proteomics. 2008 ; Vol. 7, No. 4. pp. 645-660.
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    abstract = "Protein phosphorylation is a central cell signaling event that underlies a broad spectrum of key physiological processes. Advances in affinity chromatography and mass spectrometry are now providing the ability to identify and quantitate thousands of phosphorylation sites simultaneously. Comprehensive phosphoproteome analyses present sizable analytical challenges in view of suppression effects of phosphopeptides and the variable quality of MS/MS spectra. This work presents an integrated enzymatic and data mining approach enabling the comprehensive detection of native and putative phosphopeptides following alkaline phosphatase digestion of titanium dioxide (TiO2)-enriched cell extracts. The correlation of retention times of more than 750 phospho- and dephosphopeptide pairs from J774 macrophage cell extracts indicated that removal of the phosphate groups can impart a gain or a loss in hydrophobicity that is partly explained by the formation of a salt bridge with proximal amino groups. Dephosphorylation also led to an average 2-fold increase in MS sensitivity that facilitated peptide sequencing. More importantly, alkaline phosphatase digestion enhanced the overall population of putative phosphopeptides from TiO2-enriched cell extracts providing a unique approach to profile multiphosphorylated cognates that would have remained otherwise undetected. The application of this approach is demonstrated for differential phosphoproteome analyses of mouse macrophages exposed to interferon-gamma for 5 min. TiO2 enrichment enabled the identification of 1143 phosphopeptides from 432 different proteins of which 125 phosphopeptides showed a 2-fold change upon interferon-gamma exposure. The use of alkaline phosphatase nearly doubled the number of putative phosphopeptides assignments leading to the observation of key interferon-gamma signaling events involved in vesicle trafficking, production of reactive oxygen species, and mRNA translation.",
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    Combined enzymatic and data mining approaches for comprehensive phosphoproteome analyses : application to cell signaling events of interferon-gamma-stimulated macrophages. / Marcantonio, Maria; Trost, Matthias; Courcelles, Mathieu; Desjardins, Michel; Thibault, Pierre.

    In: Molecular & Cellular Proteomics, Vol. 7, No. 4, 01.04.2008, p. 645-660.

    Research output: Contribution to journalArticle

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