Literature DB >> 12882521

Proteomics in studies of signal transduction in epithelial cells.

Serhiy Souchelnytskyi1.   

Abstract

An understanding of the complexity of cancer is important for correct diagnostics and efficient treatment of this disease. Recent developments of proteomics technologies allow us to address the complexity of tumorigenesis at a level of global protein profiling. This review discusses recent studies of signaling processes in cells of epithelial origin undertaken with the use of global protein profiling. Tumors of epithelial origin comprise about 90% of human breast cancers, and it is believed that transformation of breast epithelial cells shares common features of transformation with other mammalian cells: destabilization of the genome followed by acquisition of immortalization, unrestricted growth, evasion of death-inducing signals, and acquisition of invasive and tumor promoting characteristics. Functional proteomics of growth-promoting, growth-inhibiting, and pro-apoptotic signaling pathways, in combination with proteomics studies of breast epithelial cell differentiation and profiling of breast tumorigenesis, revealed groups of regulated proteins: structural components, stress-regulated proteins, regulators of transcription, translation and RNA processing, and regulators of posttranslational modifications, e.g., kinases, phosphatases, and proteases. The first lesson of proteomics studies is the discovery of significant number of new targets, as compared to total number of affected proteins. The second lesson is the poor correlation between expressions of proteins and their mRNAs. The third lesson is the low amplitude of protein changes compared to that observed for mRNA. These observations also recommend the analysis of signaling patterns rather than separate signaling pathways.

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Year:  2002        PMID: 12882521     DOI: 10.1023/a:1024029930563

Source DB:  PubMed          Journal:  J Mammary Gland Biol Neoplasia        ISSN: 1083-3021            Impact factor:   2.673


  40 in total

1.  Functional proteomics analysis of signal transduction pathways of the platelet-derived growth factor beta receptor.

Authors:  V Soskic; M Görlach; S Poznanovic; F D Boehmer; J Godovac-Zimmermann
Journal:  Biochemistry       Date:  1999-02-09       Impact factor: 3.162

2.  Proteomics. High-speed biologists search for gold in proteins.

Authors:  R F Service
Journal:  Science       Date:  2001-12-07       Impact factor: 47.728

3.  Functional proteomics of transforming growth factor-beta1-stimulated Mv1Lu epithelial cells: Rad51 as a target of TGFbeta1-dependent regulation of DNA repair.

Authors:  Takashi Kanamoto; Ulf Hellman; Carl-Henrik Heldin; Serhiy Souchelnytskyi
Journal:  EMBO J       Date:  2002-03-01       Impact factor: 11.598

4.  Identification of novel MAP kinase pathway signaling targets by functional proteomics and mass spectrometry.

Authors:  T S Lewis; J B Hunt; L D Aveline; K R Jonscher; D F Louie; J M Yeh; T S Nahreini; K A Resing; N G Ahn
Journal:  Mol Cell       Date:  2000-12       Impact factor: 17.970

5.  Structure of TCTP reveals unexpected relationship with guanine nucleotide-free chaperones.

Authors:  P Thaw; N J Baxter; A M Hounslow; C Price; J P Waltho; C J Craven
Journal:  Nat Struct Biol       Date:  2001-08

6.  Polypeptide pattern of human breast epithelial cells following human chorionic gonadotropin (hCG) treatment.

Authors:  T Y Ho; J Russo; I H Russo
Journal:  Electrophoresis       Date:  1994-05       Impact factor: 3.535

7.  Proteomic analysis reveals that 14-3-3sigma is down-regulated in human breast cancer cells.

Authors:  A S Vercoutter-Edouart; J Lemoine; X Le Bourhis; H Louis; B Boilly; V Nurcombe; F Révillion; J P Peyrat; H Hondermarck
Journal:  Cancer Res       Date:  2001-01-01       Impact factor: 12.701

8.  Keratins as markers that distinguish normal and tumor-derived mammary epithelial cells.

Authors:  D K Trask; V Band; D A Zajchowski; P Yaswen; T Suh; R Sager
Journal:  Proc Natl Acad Sci U S A       Date:  1990-03       Impact factor: 11.205

9.  Identification of gel-separated tumor marker proteins by mass spectrometry.

Authors:  A C Bergman; T Benjamin; A Alaiya; M Waltham; K Sakaguchi; B Franzén; S Linder; T Bergman; G Auer; E Appella; P J Wirth; H Jörnvall
Journal:  Electrophoresis       Date:  2000-02       Impact factor: 3.535

Review 10.  Cancer susceptibility and the functions of BRCA1 and BRCA2.

Authors:  Ashok R Venkitaraman
Journal:  Cell       Date:  2002-01-25       Impact factor: 41.582

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  4 in total

Review 1.  Personalized medicine and development of targeted therapies: The upcoming challenge for diagnostic molecular pathology. A review.

Authors:  Manfred Dietel; Christine Sers
Journal:  Virchows Arch       Date:  2006-04-22       Impact factor: 4.064

2.  Phosphoproteome profiling of transforming growth factor (TGF)-beta signaling: abrogation of TGFbeta1-dependent phosphorylation of transcription factor-II-I (TFII-I) enhances cooperation of TFII-I and Smad3 in transcription.

Authors:  Taras Stasyk; Anna Dubrovska; Marta Lomnytska; Ihor Yakymovych; Christer Wernstedt; Carl-Henrik Heldin; Ulf Hellman; Serhiy Souchelnytskyi
Journal:  Mol Biol Cell       Date:  2005-07-29       Impact factor: 4.138

3.  A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes.

Authors:  Richard M Neve; Koei Chin; Jane Fridlyand; Jennifer Yeh; Frederick L Baehner; Tea Fevr; Laura Clark; Nora Bayani; Jean-Philippe Coppe; Frances Tong; Terry Speed; Paul T Spellman; Sandy DeVries; Anna Lapuk; Nick J Wang; Wen-Lin Kuo; Jackie L Stilwell; Daniel Pinkel; Donna G Albertson; Frederic M Waldman; Frank McCormick; Robert B Dickson; Michael D Johnson; Marc Lippman; Stephen Ethier; Adi Gazdar; Joe W Gray
Journal:  Cancer Cell       Date:  2006-12       Impact factor: 31.743

4.  Dynamic, large-scale profiling of transcription factor activity from live cells in 3D culture.

Authors:  Michael S Weiss; Beatriz Peñalver Bernabé; Abigail D Bellis; Linda J Broadbelt; Jacqueline S Jeruss; Lonnie D Shea
Journal:  PLoS One       Date:  2010-11-17       Impact factor: 3.240

  4 in total

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