Literature DB >> 17956857

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

Delphine Pflieger1, Martin A Jünger, Markus Müller, Oliver Rinner, Hookeun Lee, Peter M Gehrig, Matthias Gstaiger, Ruedi Aebersold.   

Abstract

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.

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Year:  2007        PMID: 17956857     DOI: 10.1074/mcp.M700282-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  31 in total

Review 1.  Profiling of protein interaction networks of protein complexes using affinity purification and quantitative mass spectrometry.

Authors:  Robyn M Kaake; Xiaorong Wang; Lan Huang
Journal:  Mol Cell Proteomics       Date:  2010-05-05       Impact factor: 5.911

Review 2.  Proteomics: a pragmatic perspective.

Authors:  Parag Mallick; Bernhard Kuster
Journal:  Nat Biotechnol       Date:  2010-07-09       Impact factor: 54.908

Review 3.  Applying mass spectrometry-based proteomics to genetics, genomics and network biology.

Authors:  Matthias Gstaiger; Ruedi Aebersold
Journal:  Nat Rev Genet       Date:  2009-09       Impact factor: 53.242

Review 4.  Identification of protein interactions involved in cellular signaling.

Authors:  Jukka Westermarck; Johanna Ivaska; Garry L Corthals
Journal:  Mol Cell Proteomics       Date:  2013-03-12       Impact factor: 5.911

Review 5.  Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches.

Authors:  Armand G Ngounou Wetie; Izabela Sokolowska; Alisa G Woods; Urmi Roy; Katrin Deinhardt; Costel C Darie
Journal:  Cell Mol Life Sci       Date:  2013-04-12       Impact factor: 9.261

6.  Assay development for the determination of phosphorylation stoichiometry using multiple reaction monitoring methods with and without phosphatase treatment: application to breast cancer signaling pathways.

Authors:  Dominik Domanski; Leigh C Murphy; Christoph H Borchers
Journal:  Anal Chem       Date:  2010-07-01       Impact factor: 6.986

Review 7.  Cross-Linking Mass Spectrometry: An Emerging Technology for Interactomics and Structural Biology.

Authors:  Clinton Yu; Lan Huang
Journal:  Anal Chem       Date:  2017-11-21       Impact factor: 6.986

8.  Comparison of MS(2)-only, MSA, and MS(2)/MS(3) methodologies for phosphopeptide identification.

Authors:  Peter J Ulintz; Anastasia K Yocum; Bernd Bodenmiller; Ruedi Aebersold; Philip C Andrews; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2009-02       Impact factor: 4.466

9.  Modifications of superoxide dismutase (SOD1) in human erythrocytes: a possible role in amyotrophic lateral sclerosis.

Authors:  Kyle C Wilcox; Li Zhou; Joshua K Jordon; Yi Huang; Yanbao Yu; Rachel L Redler; Xian Chen; Michael Caplow; Nikolay V Dokholyan
Journal:  J Biol Chem       Date:  2009-03-19       Impact factor: 5.157

10.  Getting a grip on complexes.

Authors:  Yan Nie; Cristina Viola; Christoph Bieniossek; Simon Trowitzsch; Lakshmi Sumitra Vijay-Achandran; Maxime Chaillet; Frederic Garzoni; Imre Berger
Journal:  Curr Genomics       Date:  2009-12       Impact factor: 2.236

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