Literature DB >> 11687594

Tyrosine phosphorylation mapping of the epidermal growth factor receptor signaling pathway.

Hanno Steen1, Bernhard Kuster, Minerva Fernandez, Akhilesh Pandey, Matthias Mann.   

Abstract

Phosphorylation is one of the most common forms of protein modification. The most frequent targets for protein phosphorylation in eukaryotes are serine and threonine residues, although tyrosine residues also undergo phosphorylation. Many of the currently applied methods for the detection and localization of protein phosphorylation sites are mass spectrometry-based and are biased against the analysis of tyrosine-phosphorylated residues because of the stability and low reactivity of phosphotyrosines. To overcome this lack of sensitive methods for the detection of phosphotyrosine-containing peptides, we have recently developed a method that is not affected by the more predominant threonine or serine phosphorylation within cells. It is based on the specific detection of immonium ion of phosphotyrosine at 216.043 Da and does not require prior knowledge of the protein sequence. In this report, we describe the first application of this new method in a proteomic strategy. Using anti-phosphotyrosine antibodies for immunoprecipitation and one-dimensional gel electrophoresis, we have identified 10 proteins in the epidermal growth factor receptor signaling pathway, of which 8 have been shown previously to be involved in epidermal growth factor signaling. Most importantly, in addition to several known tyrosine phosphorylation sites, we have identified five novel sites on SHIP-2, Hrs, Cbl, STAM, and STAM2, most of which were not predicted to be phosphorylated. Because of its sensitivity and selectivity, this approach will be useful in proteomic approaches to study tyrosine phosphorylation in a number of signal transduction pathways.

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Year:  2001        PMID: 11687594     DOI: 10.1074/jbc.M109992200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  36 in total

1.  Profiling of tyrosine phosphorylation pathways in human cells using mass spectrometry.

Authors:  Arthur R Salomon; Scott B Ficarro; Laurence M Brill; Achim Brinker; Qui T Phung; Christer Ericson; Karsten Sauer; Ansgar Brock; David M Horn; Peter G Schultz; Eric C Peters
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-09       Impact factor: 11.205

2.  Using optimized collision energies and high resolution, high accuracy fragment ion selection to improve glycopeptide detection by precursor ion scanning.

Authors:  Judith Jebanathirajah; Hanno Steen; Peter Roepstorff
Journal:  J Am Soc Mass Spectrom       Date:  2003-07       Impact factor: 3.109

3.  Protein identification: the origins of peptide mass fingerprinting.

Authors:  William J Henzel; Colin Watanabe; John T Stults
Journal:  J Am Soc Mass Spectrom       Date:  2003-09       Impact factor: 3.109

4.  Targeting peptide termini, a novel immunoaffinity approach to reduce complexity in mass spectrometric protein identification.

Authors:  Sibylle Hoeppe; Thomas D Schreiber; Hannes Planatscher; Andreas Zell; Markus F Templin; Dieter Stoll; Thomas O Joos; Oliver Poetz
Journal:  Mol Cell Proteomics       Date:  2010-10-20       Impact factor: 5.911

5.  Automatic validation of phosphopeptide identifications from tandem mass spectra.

Authors:  Bingwen Lu; Cristian Ruse; Tao Xu; Sung Kyu Park; John Yates
Journal:  Anal Chem       Date:  2007-02-15       Impact factor: 6.986

Review 6.  Proteomic technologies in the study of kinases: novel tools for the investigation of PKC in the heart.

Authors:  G Agnetti; L A Kane; C Guarnieri; C M Caldarera; J E Van Eyk
Journal:  Pharmacol Res       Date:  2007-05-03       Impact factor: 7.658

Review 7.  Taking aim at shotgun phosphoproteomics.

Authors:  Jason D Hoffert; Mark A Knepper
Journal:  Anal Biochem       Date:  2007-11-22       Impact factor: 3.365

Review 8.  Understanding protein phosphorylation on a systems level.

Authors:  Jimmy Lin; Zhi Xie; Heng Zhu; Jiang Qian
Journal:  Brief Funct Genomics       Date:  2010-01-07       Impact factor: 4.241

9.  Colander: a probability-based support vector machine algorithm for automatic screening for CID spectra of phosphopeptides prior to database search.

Authors:  Bingwen Lu; Cristian I Ruse; John R Yates
Journal:  J Proteome Res       Date:  2008-06-19       Impact factor: 4.466

10.  Multiple myeloma phosphotyrosine proteomic profile associated with FGFR3 expression, ligand activation, and drug inhibition.

Authors:  Jonathan R St-Germain; Paul Taylor; Jiefei Tong; Lily L Jin; Ana Nikolic; Ian I Stewart; Robert M Ewing; Moyez Dharsee; Zhihua Li; Suzanne Trudel; Michael F Moran
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-09       Impact factor: 11.205

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