|
|
||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Molecular & Cellular Proteomics 4:255-266, 2005.
© 2005 by The American Society for Biochemistry and Molecular Biology, Inc.
,
,
,From the Department of Biomolecular Mass Spectrometry, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Sorbonnelaan 16, 3584 CA Utrecht, The Netherlands
Quantitative protein expression profiling is a crucial part of proteomics and requires methods that are able to efficiently provide accurate and reproducible differential expression values for proteins in two or more biological samples. In this report we evaluate in a direct comparative assessment two state-of-the-art quantitative proteomic approaches, namely difference in gel electrophoresis (DiGE) and metabolic stable isotope labeling. Therefore, Saccharomyces cerevisiae was grown under well defined experimental conditions in chemostats under two single nutrient-limited growth conditions using 14N- or 15N-labeled ammonium sulfate as the single nitrogen source. Following lysis and protein extraction from the two yeast samples, the proteins were fluorescently labeled using different fluorescent CyDyes. Subsequently, the yeast samples were mixed, and the proteins were separated by two-dimensional gel electrophoresis. Following in-gel digestion, the resulting peptides were analyzed by mass spectrometry using a MALDI-TOF mass spectrometer. Relative ratios in protein expression between these two yeast samples were determined using both DiGE and metabolic stable isotope labeling. Focusing on a small, albeit representative, set of proteins covering the whole gel range, including some protein isoforms and ranging from low to high abundance, we observe that the correlation between these two methods of quantification is good with the differential ratios determined following the equation RMet.Lab. = 0.98RDiGE with r2 = 0.89. Although the correlation between DiGE and metabolic stable isotope labeling is exceptionally good, we do observe and discuss (dis)advantages of both methods as well as in relation to other (quantitative) approaches.
![]()
CiteULike
Complore
Connotea
Del.icio.us
Digg
Reddit
Technorati What's this?
This article has been cited by other articles:
![]() |
R. Raijmakers, C. R. Berkers, A. de Jong, H. Ovaa, A. J. R. Heck, and S. Mohammed Automated Online Sequential Isotope Labeling for Protein Quantitation Applied to Proteasome Tissue-specific Diversity Mol. Cell. Proteomics, September 1, 2008; 7(9): 1755 - 1762. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. Tang, Z. Deng, J. A. Oses-Prieto, N. Suzuki, S. Zhu, X. Zhang, A. L. Burlingame, and Z.-Y. Wang Proteomics Studies of Brassinosteroid Signal Transduction Using Prefractionation and Two-dimensional DIGE Mol. Cell. Proteomics, April 1, 2008; 7(4): 728 - 738. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Hebeler, S. Oeljeklaus, K. A. Reidegeld, M. Eisenacher, C. Stephan, B. Sitek, K. Stuhler, H. E. Meyer, M. J. G. Sturre, P. P. Dijkwel, et al. Study of Early Leaf Senescence in Arabidopsis thaliana by Quantitative Proteomics Using Reciprocal 14N/15N Labeling and Difference Gel Electrophoresis Mol. Cell. Proteomics, January 1, 2008; 7(1): 108 - 120. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. Sun, B. Xing, Y. Sun, X. Du, M. Lu, C. Hao, Z. Lu, W. Mi, S. Wu, H. Wei, et al. Proteome Analysis of Hepatocellular Carcinoma by Two-dimensional Difference Gel Electrophoresis: Novel Protein Markers in Hepatocellular Carcinoma Tissues Mol. Cell. Proteomics, October 1, 2007; 6(10): 1798 - 1808. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. W. Turck, A. M. Falick, J. A. Kowalak, W. S. Lane, K. S. Lilley, B. S. Phinney, S. T. Weintraub, H. E. Witkowska, and N. A. Yates The Association of Biomolecular Resource Facilities Proteomics Research Group 2006 Study: Relative Protein Quantitation Mol. Cell. Proteomics, August 1, 2007; 6(8): 1291 - 1298. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. L. Huttlin, A. D. Hegeman, A. C. Harms, and M. R. Sussman Comparison of Full Versus Partial Metabolic Labeling for Quantitative Proteomics Analysis in Arabidopsis thaliana Mol. Cell. Proteomics, May 1, 2007; 6(5): 860 - 881. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. Bisle, A. Schmidt, B. Scheibe, C. Klein, A. Tebbe, J. Kellermann, F. Siedler, F. Pfeiffer, F. Lottspeich, and D. Oesterhelt Quantitative Profiling of the Membrane Proteome in a Halophilic Archaeon Mol. Cell. Proteomics, September 1, 2006; 5(9): 1543 - 1558. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Wolff, A. Otto, D. Albrecht, J. S. Zeng, K. Buttner, M. Gluckmann, M. Hecker, and D. Becher Gel-free and Gel-based Proteomics in Bacillus subtilis: A Comparative Study Mol. Cell. Proteomics, July 1, 2006; 5(7): 1183 - 1192. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. H.C. Dirksen, J. Cloos, B. J.M. Braakhuis, R. H. Brakenhoff, A. J.R. Heck, and M. Slijper Human Lymphoblastoid Proteome Analysis Reveals a Role for the Inhibitor of Acetyltransferases Complex in DNA Double-Strand Break Response Cancer Res., February 1, 2006; 66(3): 1473 - 1480. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. J. Beynon and J. M. Pratt Metabolic Labeling of Proteins for Proteomics Mol. Cell. Proteomics, July 1, 2005; 4(7): 857 - 872. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| All ASBMB Journals | Journal of Biological Chemistry |
| Journal of Lipid Research | ASBMB Today |