Literature DB >> 15102926

Quantitative cancer proteomics: stable isotope labeling with amino acids in cell culture (SILAC) as a tool for prostate cancer research.

Patrick A Everley1, Jeroen Krijgsveld, Bruce R Zetter, Steven P Gygi.   

Abstract

Microarrays have been the primary means for large-scale analyses of genes implicated in cancer progression. However, more recently a need has been recognized for investigating cancer development directly at the protein level. In this report, we have applied a comparative proteomic technique to the study of metastatic prostate cancer. This technology, termed stable isotope labeling with amino acids in cell culture (SILAC), has recently gained popularity for its ability to compare the expression levels of hundreds of proteins in a single experiment. SILAC makes use of (12)C- and (13)C-labeled amino acids added to the growth media of separately cultured cell lines, giving rise to cells containing either "light" or "heavy" proteins, respectively. Upon mixing lysates collected from these cells, proteins can be identified by tandem mass spectrometry. The incorporation of stable isotopes also allows for a quantitative comparison between the two samples. Using this method, we compared the expression levels for more than 440 proteins in the microsomal fractions of prostate cancer cells with varying metastatic potential. Of these, 60 were found elevated greater than 3-fold in the highly metastatic cells, whereas 22 were reduced by equivalent amounts. Western blotting provided further confirmation of the mass spectrometry-based quantification. Our results demonstrate the applicability of this novel approach toward the study of cancer progression using defined cell lines.

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Year:  2004        PMID: 15102926     DOI: 10.1074/mcp.M400021-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  69 in total

1.  Quantitative proteomic analyses of influenza virus-infected cultured human lung cells.

Authors:  Kevin M Coombs; Alicia Berard; Wanhong Xu; Oleg Krokhin; Xiaobo Meng; John P Cortens; Darwyn Kobasa; John Wilkins; Earl G Brown
Journal:  J Virol       Date:  2010-08-11       Impact factor: 5.103

2.  Quantitative proteomics analysis reveals molecular networks regulated by epidermal growth factor receptor level in head and neck cancer.

Authors:  Wei Yang; Quan Cai; Vivian W Y Lui; Patrick A Everley; Jayoung Kim; Neil Bhola; Kelly M Quesnelle; Bruce R Zetter; Hanno Steen; Michael R Freeman; Jennifer R Grandis
Journal:  J Proteome Res       Date:  2010-06-04       Impact factor: 4.466

3.  Addressing accuracy and precision issues in iTRAQ quantitation.

Authors:  Natasha A Karp; Wolfgang Huber; Pawel G Sadowski; Philip D Charles; Svenja V Hester; Kathryn S Lilley
Journal:  Mol Cell Proteomics       Date:  2010-04-10       Impact factor: 5.911

4.  Quantitative analysis of intact apolipoproteins in human HDL by top-down differential mass spectrometry.

Authors:  Matthew T Mazur; Helene L Cardasis; Daniel S Spellman; Andy Liaw; Nathan A Yates; Ronald C Hendrickson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-13       Impact factor: 11.205

5.  SILACtor: software to enable dynamic SILAC studies.

Authors:  Michael R Hoopmann; Juan D Chavez; James E Bruce
Journal:  Anal Chem       Date:  2011-10-27       Impact factor: 6.986

Review 6.  Functional proteomics to dissect tyrosine kinase signalling pathways in cancer.

Authors:  Walter Kolch; Andrew Pitt
Journal:  Nat Rev Cancer       Date:  2010-08-19       Impact factor: 60.716

Review 7.  Weighing in on ubiquitin: the expanding role of mass-spectrometry-based proteomics.

Authors:  Donald S Kirkpatrick; Carilee Denison; Steven P Gygi
Journal:  Nat Cell Biol       Date:  2005-08       Impact factor: 28.824

8.  Analytical characteristics of cleavable isotope-coded affinity tag-LC-tandem mass spectrometry for quantitative proteomic studies.

Authors:  Cecily P Vaughn; David K Crockett; Megan S Lim; Kojo S J Elenitoba-Johnson
Journal:  J Mol Diagn       Date:  2006-09       Impact factor: 5.568

Review 9.  Proteome research based on modern liquid chromatography--tandem mass spectrometry: separation, identification and quantification.

Authors:  T Fröhlich; G J Arnold
Journal:  J Neural Transm (Vienna)       Date:  2006-07-13       Impact factor: 3.575

10.  Combined Antibody/Lectin Enrichment Identifies Extensive Changes in the O-GlcNAc Sub-proteome upon Oxidative Stress.

Authors:  Albert Lee; Devin Miller; Roger Henry; Venkata D P Paruchuri; Robert N O'Meally; Tatiana Boronina; Robert N Cole; Natasha E Zachara
Journal:  J Proteome Res       Date:  2016-10-14       Impact factor: 4.466

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