Literature DB >> 21136608

Proteomics in human cancer research.

Elzbieta Pastwa1, Stella B Somiari, Malgorzata Czyz, Richard Idem Somiari.   

Abstract

Proteomics is now widely employed in the study of cancer. Many laboratories are applying the rapidly emerging technologies to elucidate the underlying mechanisms associated with cancer development, progression, and severity in addition to developing drugs and identifying patients who will benefit most from molecular targeted compounds. Various proteomic approaches are now available for protein separation and identification, and for characterization of the function and structure of candidate proteins. In spite of significant challenges that still exist, proteomics has rapidly expanded to include the discovery of novel biomarkers for early detection, diagnosis and prognostication (clinical application), and for the identification of novel drug targets (pharmaceutical application). To achieve these goals, several innovative technologies including 2-D-difference gel electrophoresis, SELDI, multidimensional protein identification technology, isotope-coded affinity tag, solid-state and suspension protein array technologies, X-ray crystallography, NMR spectroscopy, and computational methods such as comparative and de novo structure prediction and molecular dynamics simulation have evolved, and are being used in different combinations. This review provides an overview of the field of proteomics and discusses the key proteomic technologies available to researchers. It also describes some of the important challenges and highlights the current pharmaceutical and clinical applications of proteomics in human cancer research.
Copyright © 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Year:  2006        PMID: 21136608     DOI: 10.1002/prca.200600369

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  8 in total

1.  Proteomics of rat prostate lobes treated with 2-N-hydroxylamino-1-methyl-6-phenylimidazo[4,5-b]pyridine, 5alpha-dihydrotestosterone, individually and in combination.

Authors:  Telih Boyiri; Richard I Somiari; Stephen Russell; Cesar Aliaga; Karam El-Bayoumy
Journal:  Int J Oncol       Date:  2009-09       Impact factor: 5.650

Review 2.  Proteomics: a strategy to understand the novel targets in protein misfolding and cancer therapy.

Authors:  Nagathihalli S Nagaraj; Om V Singh; Nipun B Merchant
Journal:  Expert Rev Proteomics       Date:  2010-08       Impact factor: 3.940

3.  Mass spectrometric characterization of protein structure details refines the proteome signature for invasive ductal breast carcinoma.

Authors:  Claudia Röwer; Cornelia Koy; Michael Hecker; Toralf Reimer; Bernd Gerber; Hans-Jürgen Thiesen; Michael O Glocker
Journal:  J Am Soc Mass Spectrom       Date:  2011-02-08       Impact factor: 3.109

4.  Botanical Drug Puerarin Attenuates 6-Hydroxydopamine (6-OHDA)-Induced Neurotoxicity via Upregulating Mitochondrial Enzyme Arginase-2.

Authors:  Jia Zhao; Yuanyuan Cheng; Chuanbin Yang; Sam Lau; Lixing Lao; Bo Shuai; Jing Cai; Jianhui Rong
Journal:  Mol Neurobiol       Date:  2015-05-08       Impact factor: 5.590

5.  PTRF/cavin-1 and MIF proteins are identified as non-small cell lung cancer biomarkers by label-free proteomics.

Authors:  Angelo Gámez-Pozo; Iker Sánchez-Navarro; Enrique Calvo; María Teresa Agulló-Ortuño; Rocío López-Vacas; Esther Díaz; Emilio Camafeita; Manuel Nistal; Rosario Madero; Enrique Espinosa; Juan Antonio López; Juan Ángel Fresno Vara
Journal:  PLoS One       Date:  2012-03-26       Impact factor: 3.240

6.  A colorimetric method for monitoring tryptic digestion prior to shotgun proteomics.

Authors:  Richard I Somiari; Kutralanathan Renganathan; Stephen Russell; Steven Wolfe; Florentina Mayko; Stella B Somiari
Journal:  Int J Proteomics       Date:  2014-02-10

7.  Urothelial cancer proteomics provides both prognostic and functional information.

Authors:  Guillermo de Velasco; Lucia Trilla-Fuertes; Angelo Gamez-Pozo; Maria Urbanowicz; Gustavo Ruiz-Ares; Juan M Sepúlveda; Guillermo Prado-Vazquez; Jorge M Arevalillo; Andrea Zapater-Moros; Hilario Navarro; Rocio Lopez-Vacas; Ray Manneh; Irene Otero; Felipe Villacampa; Jesus M Paramio; Juan Angel Fresno Vara; Daniel Castellano
Journal:  Sci Rep       Date:  2017-11-17       Impact factor: 4.379

8.  Functional proteomics outlines the complexity of breast cancer molecular subtypes.

Authors:  Angelo Gámez-Pozo; Lucía Trilla-Fuertes; Julia Berges-Soria; Nathalie Selevsek; Rocío López-Vacas; Mariana Díaz-Almirón; Paolo Nanni; Jorge M Arevalillo; Hilario Navarro; Jonas Grossmann; Francisco Gayá Moreno; Rubén Gómez Rioja; Guillermo Prado-Vázquez; Andrea Zapater-Moros; Paloma Main; Jaime Feliú; Purificación Martínez Del Prado; Pilar Zamora; Eva Ciruelos; Enrique Espinosa; Juan Ángel Fresno Vara
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

  8 in total

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