Literature DB >> 18776048

Comparisons of tyrosine phosphorylated proteins in cells expressing lung cancer-specific alleles of EGFR and KRAS.

Udayan Guha1, Raghothama Chaerkady, Arivusudar Marimuthu, A Scott Patterson, Manoj K Kashyap, H C Harsha, Mitsuo Sato, Joel S Bader, Alex E Lash, John D Minna, Akhilesh Pandey, Harold E Varmus.   

Abstract

We have used unbiased phosphoproteomic approaches, based on quantitative mass spectrometry using stable isotope labeling with amino acids in cell culture (SILAC), to identify tyrosine phosphorylated proteins in isogenic human bronchial epithelial cells (HBECs) and human lung adenocarcinoma cell lines, expressing either of the two mutant alleles of EGFR (L858R and Del E746-A750), or a mutant KRAS allele, which are common in human lung adenocarcinomas. Tyrosine phosphorylation of signaling molecules was greater in HBECs expressing the mutant EGFRs than in cells expressing WT EGFR or mutant KRAS. Receptor tyrosine kinases (such as EGFR, ERBB2, MET, and IGF1R), and Mig-6, an inhibitor of EGFR signaling, were more phosphorylated in HBECs expressing mutant EGFR than in cells expressing WT EGFR or mutant RAS. Phosphorylation of some proteins differed in the two EGFR mutant-expressing cells; for example, some cell junction proteins (beta-catenin, plakoglobin, and E-cadherin) were more phosphorylated in HBECs expressing L858R EGFR than in cells expressing Del EGFR. There were also differences in degree of phosphorylation at individual tyrosine sites within a protein; for example, a previously uncharacterized phosphorylation site in the nucleotide-binding loop of the kinase domains of EGFR (Y727), ERBB2 (Y735), or ERBB4 (Y733), is phosphorylated significantly more in HBECs expressing the deletion mutant than in cells expressing the wild type or L858R EGFR. Signaling molecules not previously implicated in ERBB signaling, such as polymerase transcript release factor (PTRF), were also phosphorylated in cells expressing mutant EGFR. Bayesian network analysis of these and other datasets revealed that PTRF might be a potentially important component of the ERBB signaling network.

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Year:  2008        PMID: 18776048      PMCID: PMC2531065          DOI: 10.1073/pnas.0806158105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  38 in total

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Authors:  Glynn Dennis; Brad T Sherman; Douglas A Hosack; Jun Yang; Wei Gao; H Clifford Lane; Richard A Lempicki
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2.  Quantitative proteomics using stable isotope labeling with amino acids in cell culture.

Authors:  H C Harsha; Henrik Molina; Akhilesh Pandey
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

3.  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

4.  ErbB-beta-catenin complexes are associated with human infiltrating ductal breast and murine mammary tumor virus (MMTV)-Wnt-1 and MMTV-c-Neu transgenic carcinomas.

Authors:  Joyce A Schroeder; Melissa C Adriance; Elizabeth J McConnell; Melissa C Thompson; Barbara Pockaj; Sandra J Gendler
Journal:  J Biol Chem       Date:  2002-04-11       Impact factor: 5.157

5.  Clinical and biological features associated with epidermal growth factor receptor gene mutations in lung cancers.

Authors:  Hisayuki Shigematsu; Li Lin; Takao Takahashi; Masaharu Nomura; Makoto Suzuki; Ignacio I Wistuba; Kwun M Fong; Huei Lee; Shinichi Toyooka; Nobuyoshi Shimizu; Takehiko Fujisawa; Ziding Feng; Jack A Roth; Joachim Herz; John D Minna; Adi F Gazdar
Journal:  J Natl Cancer Inst       Date:  2005-03-02       Impact factor: 13.506

6.  A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signaling.

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Journal:  Nat Biotechnol       Date:  2003-02-10       Impact factor: 54.908

7.  EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy.

Authors:  J Guillermo Paez; Pasi A Jänne; Jeffrey C Lee; Sean Tracy; Heidi Greulich; Stacey Gabriel; Paula Herman; Frederic J Kaye; Neal Lindeman; Titus J Boggon; Katsuhiko Naoki; Hidefumi Sasaki; Yoshitaka Fujii; Michael J Eck; William R Sellers; Bruce E Johnson; Matthew Meyerson
Journal:  Science       Date:  2004-04-29       Impact factor: 47.728

8.  Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib.

Authors:  Thomas J Lynch; Daphne W Bell; Raffaella Sordella; Sarada Gurubhagavatula; Ross A Okimoto; Brian W Brannigan; Patricia L Harris; Sara M Haserlat; Jeffrey G Supko; Frank G Haluska; David N Louis; David C Christiani; Jeff Settleman; Daniel A Haber
Journal:  N Engl J Med       Date:  2004-04-29       Impact factor: 91.245

9.  Gefitinib-sensitizing EGFR mutations in lung cancer activate anti-apoptotic pathways.

Authors:  Raffaella Sordella; Daphne W Bell; Daniel A Haber; Jeffrey Settleman
Journal:  Science       Date:  2004-07-29       Impact factor: 47.728

10.  KRAS mutations and primary resistance of lung adenocarcinomas to gefitinib or erlotinib.

Authors:  William Pao; Theresa Y Wang; Gregory J Riely; Vincent A Miller; Qiulu Pan; Marc Ladanyi; Maureen F Zakowski; Robert T Heelan; Mark G Kris; Harold E Varmus
Journal:  PLoS Med       Date:  2005-01-25       Impact factor: 11.069

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  56 in total

Review 1.  Integration of proteomics into systems biology of cancer.

Authors:  S Hanash; M Schliekelman; Q Zhang; A Taguchi
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2012-03-08

Review 2.  The grand challenge to decipher the cancer proteome.

Authors:  Samir Hanash; Ayumu Taguchi
Journal:  Nat Rev Cancer       Date:  2010-09       Impact factor: 60.716

Review 3.  Lung cancer cell lines: Useless artifacts or invaluable tools for medical science?

Authors:  Adi F Gazdar; Boning Gao; John D Minna
Journal:  Lung Cancer       Date:  2010-01-15       Impact factor: 5.705

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

Review 5.  SH3 domains: modules of protein-protein interactions.

Authors:  Natalya Kurochkina; Udayan Guha
Journal:  Biophys Rev       Date:  2012-06-20

6.  Phosphoproteomics-based modeling defines the regulatory mechanism underlying aberrant EGFR signaling.

Authors:  Shinya Tasaki; Masao Nagasaki; Hiroko Kozuka-Hata; Kentaro Semba; Noriko Gotoh; Seisuke Hattori; Jun-ichiro Inoue; Tadashi Yamamoto; Satoru Miyano; Sumio Sugano; Masaaki Oyama
Journal:  PLoS One       Date:  2010-11-10       Impact factor: 3.240

7.  Characterizing tyrosine phosphorylation signaling in lung cancer using SH2 profiling.

Authors:  Kazuya Machida; Steven Eschrich; Jiannong Li; Yun Bai; John Koomen; Bruce J Mayer; Eric B Haura
Journal:  PLoS One       Date:  2010-10-19       Impact factor: 3.240

8.  Proteomics analysis of human skeletal muscle reveals novel abnormalities in obesity and type 2 diabetes.

Authors:  Hyonson Hwang; Benjamin P Bowen; Natalie Lefort; Charles R Flynn; Elena A De Filippis; Christine Roberts; Christopher C Smoke; Christian Meyer; Kurt Højlund; Zhengping Yi; Lawrence J Mandarino
Journal:  Diabetes       Date:  2009-10-15       Impact factor: 9.461

9.  Empirical Bayes analysis of quantitative proteomics experiments.

Authors:  Adam A Margolin; Shao-En Ong; Monica Schenone; Robert Gould; Stuart L Schreiber; Steven A Carr; Todd R Golub
Journal:  PLoS One       Date:  2009-10-14       Impact factor: 3.240

10.  Transcriptional network classifiers.

Authors:  Hsun-Hsien Chang; Marco F Ramoni
Journal:  BMC Bioinformatics       Date:  2009-09-17       Impact factor: 3.169

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