Literature DB >> 15314609

Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics.

Blagoy Blagoev, Shao-En Ong, Irina Kratchmarova, Matthias Mann.   

Abstract

To study the global dynamics of phosphotyrosine-based signaling events in early growth factor stimulation, we developed a mass spectrometric method that converts temporal changes to differences in peptide isotopic abundance. The proteomes of three cell populations were metabolically encoded with different stable isotopic forms of arginine. Each population was stimulated by epidermal growth factor for a different length of time, and tyrosine-phosphorylated proteins and closely associated binders were affinity purified. Arginine-containing peptides occurred in three forms, which were quantified; we then combined two experiments to generate five-point dynamic profiles. We identified 81 signaling proteins, including virtually all known epidermal growth factor receptor substrates, 31 novel effectors and the time course of their activation upon epidermal growth factor stimulation. Global activation profiles provide an informative perspective on cell signaling and will be crucial to modeling signaling networks in a systems biology approach.

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Year:  2004        PMID: 15314609     DOI: 10.1038/nbt1005

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  188 in total

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Journal:  Mol Cell Proteomics       Date:  2011-12-30       Impact factor: 5.911

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Review 4.  Decoding signalling networks by mass spectrometry-based proteomics.

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Authors:  Matthew Stuible; Jasmine V Abella; Matthew Feldhammer; Misha Nossov; Veena Sangwan; Blagoy Blagoev; Morag Park; Michel L Tremblay
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7.  Quantitative comparison of IMAC and TiO2 surfaces used in the study of regulated, dynamic protein phosphorylation.

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8.  Met and c-Src cooperate to compensate for loss of epidermal growth factor receptor kinase activity in breast cancer cells.

Authors:  Kelly L Mueller; Lauren A Hunter; Stephen P Ethier; Julie L Boerner
Journal:  Cancer Res       Date:  2008-05-01       Impact factor: 12.701

9.  Evaluation of the variation in sample preparation for comparative proteomics using stable isotope labeling by amino acids in cell culture.

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Review 10.  Proteomic contributions to personalized cancer care.

Authors:  John M Koomen; Eric B Haura; Gerold Bepler; Rebecca Sutphen; Elizabeth R Remily-Wood; Kaaron Benson; Mohamad Hussein; Lori A Hazlehurst; Timothy J Yeatman; Lynne T Hildreth; Thomas A Sellers; Paul B Jacobsen; David A Fenstermacher; William S Dalton
Journal:  Mol Cell Proteomics       Date:  2008-07-29       Impact factor: 5.911

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