Physiol. Genomics AJP: Gastrointestinal and Liver Physiology
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Physiol. Genomics (December 27, 2007). doi:10.1152/physiolgenomics.00292.2007
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Submitted on December 12, 2007
Accepted on December 21, 2007

Methods and approaches for the comprehensive characterization and quantification of cellular proteomes using mass spectrometry

Shama P Mirza1* and Michael Olivier1

1 Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States

* To whom correspondence should be addressed. E-mail: smirza{at}mcw.edu.

Proteomics has been proposed as one of the key technology in the post-genomic era. So far, however, the comprehensive analysis of cellular proteomes has been a challenge due to the dynamic nature and complexity of the multitude of proteins in cells and tissues. Various approaches have been established for the analyses of proteins in a cell at a given state, and mass spectrometry (MS) has proven to be an efficient and versatile tool. Mass spectrometry-based proteomics approaches have significantly improved beyond the initial identification of proteins to comprehensive characterization and quantification of proteomes and their posttranslational modifications. Despite these advances, there is still ongoing development of new technologies to profile and analyze cellular proteomes more completely and efficiently. In this review, we focus on MS-based techniques and will describe basic approaches for MS-based profiling of cellular proteomes, analysis methods to identify proteins in complex mixtures, and discuss the different approaches for quantitative proteome analysis. Finally, we will briefly discuss novel developments for the analysis of post-translational modifications (PTM). Altered levels of PTM, sometimes in the absence of protein expression changes, are often linked to cellular responses and disease states, and the comprehensive analysis of cellular proteome would not be complete without the identification and quantification of the extent of post-translational modifications of proteins.




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E. W. Deutsch, H. Lam, and R. Aebersold
Data analysis and bioinformatics tools for tandem mass spectrometry in proteomics
Physiol Genomics, March 10, 2008; 33(1): 18 - 25.
[Abstract] [Full Text] [PDF]




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