Literature DB >> 20074929

Quantifying oncogenic phosphotyrosine signaling networks through systems biology.

Amanda M Del Rosario1, Forest M White.   

Abstract

Pathways linking oncogenic mutations to increased proliferative or migratory capacity are poorly characterized, yet provide potential targets for therapeutic intervention. As tyrosine phosphorylation signaling networks are known to mediate proliferation and migration, and frequently go awry in cancers, a comprehensive understanding of these networks in normal and diseased states is warranted. To this end, recent advances in mass spectrometry, protein microarrays, and computational algorithms provide insight into various aspects of the network including phosphotyrosine identification, analysis of kinase/phosphatase substrates, and phosphorylation-mediated protein-protein interactions. Here we detail technological advances underlying these system-level approaches and give examples of their applications. By combining multiple approaches, it is now possible to quantify changes in the phosphotyrosine signaling network with various oncogenic mutations, thereby unveiling novel therapeutic targets. Copyright 2009 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20074929      PMCID: PMC3694410          DOI: 10.1016/j.gde.2009.12.005

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  40 in total

Review 1.  Hitting the target: emerging technologies in the search for kinase substrates.

Authors:  Brendan D Manning; Lewis C Cantley
Journal:  Sci STKE       Date:  2002-12-10

Review 2.  Oncogenic kinase signalling.

Authors:  P Blume-Jensen; T Hunter
Journal:  Nature       Date:  2001-05-17       Impact factor: 49.962

3.  Immunoaffinity profiling of tyrosine phosphorylation in cancer cells.

Authors:  John Rush; Albrecht Moritz; Kimberly A Lee; Ailan Guo; Valerie L Goss; Erik J Spek; Hui Zhang; Xiang-Ming Zha; Roberto D Polakiewicz; Michael J Comb
Journal:  Nat Biotechnol       Date:  2004-12-12       Impact factor: 54.908

Review 4.  Quantitative analysis of cell signaling and drug action via mass spectrometry-based systems level phosphoproteomics.

Authors:  Nathan C Tedford; Amy B Hall; James R Graham; Cheryl E Murphy; Neal F Gordon; Jeffrey A Radding
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

5.  Investigation of protein-tyrosine phosphatase 1B function by quantitative proteomics.

Authors:  Philipp Mertins; H Christian Eberl; Jörg Renkawitz; Jesper V Olsen; Michel L Tremblay; Matthias Mann; Axel Ullrich; Henrik Daub
Journal:  Mol Cell Proteomics       Date:  2008-05-31       Impact factor: 5.911

6.  Time-resolved mass spectrometry of tyrosine phosphorylation sites in the epidermal growth factor receptor signaling network reveals dynamic modules.

Authors:  Yi Zhang; Alejandro Wolf-Yadlin; Phillip L Ross; Darryl J Pappin; John Rush; Douglas A Lauffenburger; Forest M White
Journal:  Mol Cell Proteomics       Date:  2005-06-11       Impact factor: 5.911

7.  Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.

Authors:  Jesper V Olsen; Blagoy Blagoev; Florian Gnad; Boris Macek; Chanchal Kumar; Peter Mortensen; Matthias Mann
Journal:  Cell       Date:  2006-11-03       Impact factor: 41.582

8.  Profiling receptor tyrosine kinase activation by using Ab microarrays.

Authors:  Ulrik B Nielsen; Mike H Cardone; Anthony J Sinskey; Gavin MacBeath; Peter K Sorger
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-22       Impact factor: 11.205

9.  Mascot-derived false positive peptide identifications revealed by manual analysis of tandem mass spectra.

Authors:  Yue Chen; Junmei Zhang; Gang Xing; Yingming Zhao
Journal:  J Proteome Res       Date:  2009-06       Impact factor: 4.466

10.  NetworKIN: a resource for exploring cellular phosphorylation networks.

Authors:  Rune Linding; Lars Juhl Jensen; Adrian Pasculescu; Marina Olhovsky; Karen Colwill; Peer Bork; Michael B Yaffe; Tony Pawson
Journal:  Nucleic Acids Res       Date:  2007-11-02       Impact factor: 16.971

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  17 in total

1.  Identification and validation of inhibitor-responsive kinase substrates using a new paradigm to measure kinase-specific protein phosphorylation index.

Authors:  Xiang Li; Varsha Rao; Jin Jin; Bin Guan; Kenna L Anderes; Charles J Bieberich
Journal:  J Proteome Res       Date:  2012-06-18       Impact factor: 4.466

2.  Large-scale phosphotyrosine proteomic profiling of rat renal collecting duct epithelium reveals predominance of proteins involved in cell polarity determination.

Authors:  Boyang Zhao; Mark A Knepper; Chung-Lin Chou; Trairak Pisitkun
Journal:  Am J Physiol Cell Physiol       Date:  2011-09-21       Impact factor: 4.249

3.  Oncogene-specific activation of tyrosine kinase networks during prostate cancer progression.

Authors:  Justin M Drake; Nicholas A Graham; Tanya Stoyanova; Amir Sedghi; Andrew S Goldstein; Houjian Cai; Daniel A Smith; Hong Zhang; Evangelia Komisopoulou; Jiaoti Huang; Thomas G Graeber; Owen N Witte
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-17       Impact factor: 11.205

Review 4.  Clinical targeting of mutated and wild-type protein tyrosine kinases in cancer.

Authors:  Justin M Drake; John K Lee; Owen N Witte
Journal:  Mol Cell Biol       Date:  2014-02-24       Impact factor: 4.272

5.  Large-scale phosphoproteomic analysis of membrane proteins in renal proximal and distal tubule.

Authors:  Marina Feric; Boyang Zhao; Jason D Hoffert; Trairak Pisitkun; Mark A Knepper
Journal:  Am J Physiol Cell Physiol       Date:  2011-01-05       Impact factor: 4.249

Review 6.  System level dynamics of post-translational modifications.

Authors:  Aaron S Gajadhar; Forest M White
Journal:  Curr Opin Biotechnol       Date:  2014-01-15       Impact factor: 9.740

7.  Development of a 5-plex SILAC method tuned for the quantitation of tyrosine phosphorylation dynamics.

Authors:  Manuel Tzouros; Sabrina Golling; David Avila; Jens Lamerz; Marco Berrera; Martin Ebeling; Hanno Langen; Angélique Augustin
Journal:  Mol Cell Proteomics       Date:  2013-07-23       Impact factor: 5.911

8.  Phosphoproteomics identifies driver tyrosine kinases in sarcoma cell lines and tumors.

Authors:  Yun Bai; Jiannong Li; Bin Fang; Arthur Edwards; Guolin Zhang; Marilyn Bui; Steven Eschrich; Soner Altiok; John Koomen; Eric B Haura
Journal:  Cancer Res       Date:  2012-03-29       Impact factor: 12.701

9.  Quantitative phosphoproteomics after auxin-stimulated lateral root induction identifies an SNX1 protein phosphorylation site required for growth.

Authors:  Hongtao Zhang; Houjiang Zhou; Lidija Berke; Albert J R Heck; Shabaz Mohammed; Ben Scheres; Frank L H Menke
Journal:  Mol Cell Proteomics       Date:  2013-01-17       Impact factor: 5.911

Review 10.  The dynamic nature of the kinome.

Authors:  Lee M Graves; James S Duncan; Martin C Whittle; Gary L Johnson
Journal:  Biochem J       Date:  2013-02-15       Impact factor: 3.857

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