Literature DB >> 20222723

Quantitative analysis of HGF and EGF-dependent phosphotyrosine signaling networks.

Dean E Hammond1, Russell Hyde, Irina Kratchmarova, Robert J Beynon, Blagoy Blagoev, Michael J Clague.   

Abstract

We have used stable isotope labeling by amino acids in cell culture (SILAC), in combination with high-resolution mass spectrometry, to identify common and discrete components of the respective receptor tyrosine kinase-dependent phosphotyrosine-associated networks induced by acute stimulation of A549 lung adenocarcinoma cells with EGF or HGF. In total, we obtained quantitative information for 274 proteins, which respond to either or both stimuli by >1.5 fold changes in enrichment, following immuno-precipitation with antiphosphotyrosine antibodies. The data reveal a high degree of overlap between the respective signaling networks but also clear points of departure. A small number of HGF specific effectors were identified including myosin-X, galectin-1, ELMO2 and EphrinB1, while a larger set of EGF specific effectors (39 proteins) includes both novel (e.g., MAP4K3) and established components of receptor tyrosine kinase receptor signaling pathways. Using available protein-interaction data the identified proteins have been assembled into a highly connected network that can be visualized using the Cytoscape tool.

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Year:  2010        PMID: 20222723     DOI: 10.1021/pr100145w

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  25 in total

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4.  Proteomic analysis of the NOS2 interactome in human airway epithelial cells.

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5.  Phosphotyrosine profiling of NSCLC cells in response to EGF and HGF reveals network specific mediators of invasion.

Authors:  Hannah Johnson; Rebecca S Lescarbeau; Jesus A Gutierrez; Forest M White
Journal:  J Proteome Res       Date:  2013-03-11       Impact factor: 4.466

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8.  Dual blockade of EGFR and c-Met abrogates redundant signaling and proliferation in head and neck carcinoma cells.

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9.  Annotator: postprocessing software for generating function-based signatures from quantitative mass spectrometry.

Authors:  Juliesta E Sylvester; Tyler S Bray; Stephen J Kron
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10.  Quantitative proteomics with siRNA screening identifies novel mechanisms of trastuzumab resistance in HER2 amplified breast cancers.

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Journal:  Mol Cell Proteomics       Date:  2012-10-25       Impact factor: 5.911

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