Literature DB >> 17472359

Comparing SILAC and two-dimensional gel electrophoresis image analysis for profiling urokinase plasminogen activator signaling in ovarian cancer cells.

Pauliina M Uitto1, Braddon K Lance, Graham R Wood, James Sherman, Mark S Baker, Mark P Molloy.   

Abstract

Two-dimensional gel electrophoresis (2-DE) image analysis is conventionally used for comparative proteomics. However, there are a number of technical difficulties associated with 2-DE protein separation that limit the depth of proteome coverage, and the image analysis steps are typically labor-intensive and low-throughput. Recently, mass spectrometry-based quantitation strategies have been described as alternative differential proteome analysis techniques. In this study, we investigated changes in protein expression using an ovarian cancer cell line, OVMZ6, 24 h post-stimulation with the relatively weak agonist, urokinase-type plasminogen activator (uPA). Quantitative protein profiles were obtained by MALDI-TOF/TOF from stable isotope-labeled cells in culture (SILAC), and these results were compared to the quantitative ratios obtained using 2-DE gel image analysis. MALDI-TOF/TOF mass spectrometry showed that differential quantitation using SILAC was highly reproducible (approximately 8% coefficient of variation (CV)), and this variance was considerably lower than that achieved using automated 2-DE image analysis strategies (CV approximately 25%). Both techniques revealed subtle alterations in cellular protein expression following uPA stimulation. However, due to the lower variances associated with the SILAC technique, smaller changes in expression of uPA-inducible proteins could be found with greater certainty.

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Year:  2007        PMID: 17472359     DOI: 10.1021/pr060638v

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


  5 in total

1.  Quantitative proteomic analysis reveals the perturbation of multiple cellular pathways in jurkat-T cells induced by doxorubicin.

Authors:  Xiaoli Dong; Lei Xiong; Xinning Jiang; Yinsheng Wang
Journal:  J Proteome Res       Date:  2010-09-23       Impact factor: 4.466

2.  Global proteome quantification for discovering imatinib-induced perturbation of multiple biological pathways in K562 human chronic myeloid leukemia cells.

Authors:  Lei Xiong; Jing Zhang; Bifeng Yuan; Xiaoli Dong; Xinning Jiang; Yinsheng Wang
Journal:  J Proteome Res       Date:  2010-10-15       Impact factor: 4.466

3.  Quantitative proteomic analysis reveals the perturbation of multiple cellular pathways in HL-60 cells induced by arsenite treatment.

Authors:  Lei Xiong; Yinsheng Wang
Journal:  J Proteome Res       Date:  2010-02-05       Impact factor: 4.466

Review 4.  Biological functions of thyroid hormone in placenta.

Authors:  Cheng-Yi Chen; Chie-Pein Chen; Kwang-Huei Lin
Journal:  Int J Mol Sci       Date:  2015-02-16       Impact factor: 5.923

Review 5.  Mass spectrometry-based proteomics techniques and their application in ovarian cancer research.

Authors:  Agata Swiatly; Szymon Plewa; Jan Matysiak; Zenon J Kokot
Journal:  J Ovarian Res       Date:  2018-10-01       Impact factor: 4.234

  5 in total

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