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Quantitative proteomic analysis of protein complexes: concurrent identification of interactors and their state of phosphorylation.

Quantitative proteomic analysis of protein complexes: concurrent identification of interactors and their state of phosphorylation. Research Abstract Details 

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  • Quantitative proteomic analysis of protein complexes: concurrent identification of interactors and their state of phosphorylation. Abstract Text:

    delphine pfliegerDelphine Pflieger,martin a jüngerMartin A Jünger,markus müllerMarkus Müller,oliver rinnerOliver Rinner,hookeun leeHookeun Lee,peter m gehrigPeter M Gehrig,matthias gstaigerMatthias Gstaiger,ruedi aebersoldRuedi Aebersold,delphine pfliegerDelphine Pflieger,martin a Martin A ,markus Markus ,oliver rinnerOliver Rinner,hookeun leeHookeun Lee,peter m gehrigPeter M Gehrig,matthias gstaigerMatthias Gstaiger,ruedi aebersoldRuedi Aebersold,

    Protein complexes have largely been studied by immunoaffinity purification and (mass spectrometric) analysis. Although this approach has been widely and successfully used it is limited because it has difficulties reliably discriminating true from false protein complex components, identifying post-translational modifications, and detecting quantitative changes in complex composition or state of modification of complex components. We have developed a protocol that enables us to determine, in a single LC-MALDI-TOF/TOF analysis, the true protein constituents of a complex, to detect changes in the complex composition, and to localize phosphorylation sites and estimate their respective stoichiometry. The method is based on the combination of fourplex iTRAQ (isobaric tags for relative and absolute quantification) isobaric labeling and protein phosphatase treatment of substrates. It was evaluated on model peptides and proteins and on the complex Ccl1-Kin28-Tfb3 isolated by tandem affinity purification from yeast cells. The two known phosphosites in Kin28 and Tfb3 could be reproducibly shown to be fully modified. The protocol was then applied to the analysis of samples immunopurified from Drosophila melanogaster cells expressing an epitope-tagged form of the insulin receptor substrate homologue Chico. These experiments allowed us to identify 14-3-3epsilon, 14-3-3zeta, and the insulin receptor as specific Chico interactors. In a further experiment, we compared the immunopurified materials obtained from tagged Chico-expressing cells that were either treated with insulin or left unstimulated. This analysis showed that hormone stimulation increases the association of 14-3-3 proteins with Chico and modulates several phosphorylation sites of the bait, some of which are located within predicted recognition motives of 14-3-3 proteins.

    Quantitative proteomic analysis of protein complexes: concurrent identification of interactors and their state of phosphorylation. Publishing Authors By Initials

    d pfliegerD Pflieger,ma jüngerMA Jünger,m müllerM Müller,o rinnerO Rinner,h leeH Lee,pm gehrigPM Gehrig,m gstaigerM Gstaiger,r aebersoldR Aebersold,d pfliegerD Pflieger,ma MA ,m M ,o rinnerO Rinner,h leeH Lee,pm gehrigPM Gehrig,m gstaigerM Gstaiger,r aebersoldR Aebersold,

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    Quantitative proteomic analysis of protein complexes: concurrent identification of interactors and their state of phosphorylation. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Molecular & cellular proteomics : MCP

    VOLUME: 7

    Page Numbers: 326-46

    Journal Abbreviation: Mol. Cell Proteomics

    ISSN: 1535-9476

    DAY: 23

    MONTH: 10

    YEAR: 2007

    Quantitative proteomic analysis of protein complexes: concurrent identification of interactors and their state of phosphorylation. Information

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    LANGUAGE: eng

    NlmUniqueID: 101125647

    Quantitative proteomic analysis of protein complexes: concurrent identification of interactors and their state of phosphorylation. Keywords Mesh Terms:

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    Grant and Affiliation Information for Quantitative proteomic analysis of protein complexes: concurrent identification of interactors and their state of phosphorylation.

    AFFILIATION: Institute for Molecular Systems Biology, ETH, 8093 Zürich, Switzerland.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Mol Cell Proteomics

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