Generating and navigating proteome maps using mass spectrometry

被引:0
作者
Christian H. Ahrens
Erich Brunner
Ermir Qeli
Konrad Basler
Ruedi Aebersold
机构
[1] Quantitative Model Organism Proteomics,
[2] University of Zurich,undefined
[3] Institute of Molecular Life Sciences,undefined
[4] University of Zurich,undefined
[5] Institute of Molecular Systems Biology,undefined
[6] ETH Zurich,undefined
[7] Faculty of Science,undefined
[8] University of Zurich,undefined
来源
Nature Reviews Molecular Cell Biology | 2010年 / 11卷
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摘要
Complete proteome reference maps, which contain validated, mass spectrometry (MS)-derived, reference fragment ion spectra for unique peptides for each protein of a proteome, are becoming an indispensible resource to quantify the dynamic behaviour of a proteome, or subsets thereof, under multiple conditions.Despite enormous technical advances in shotgun proteomics, which is the main MS-based proteome technology today, the generation of such reference maps has been challenging and expensive.The use of synthetic peptide libraries representing unique peptides for each protein of a proteome, and the fragment ion spectra derived from these compounds, are a good basis for the generation of complete proteome reference maps.To generate and use proteome reference maps, the precise level of resolution of proteome analysis needs to be considered and carefully defined. Specifically, resolving splice forms or differentially modified proteins poses different challenges compared to the quantification of the primary translation products of a gene locus.New MS techniques that use proteome reference maps as prior information support the quantification of complete or partial proteomes at unprecedented levels of reproducibility, sensitivity and dynamic range. Reminiscent of microarray-based gene expression analysis, such capabilities will allow the quantitative monitoring of dynamic protein expression in different cells and tissues at different states, and are particularly important for systems biology and clinical research.Proteomics is moving from an era focused on the perpetual discovery of proteins towards an era of determining the relevant biological information about proteins. Complete proteome maps will be an essential element to realize this fundamental transition.
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页码:789 / 801
页数:12
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共 276 条
[41]  
Nesvizhskii AI(2009)Characterization of mouse spleen cells by subtractive proteomics Nature 460 762-430
[42]  
Keller A(2009)Sperm chromatin proteomics identifies evolutionarily conserved fertility factors Nature Methods 6 423-1031
[43]  
Kolker E(2007)Status of complete proteome analysis by mass spectrometry: SILAC labeled yeast as a model system Anal. Bioanal. Chem. 389 1017-24
[44]  
Aebersold R(2010)Global survey of organ and organelle protein expression in mouse: combined proteomic and transcriptomic profiling Mol. Cell. Proteomics 9 11-999
[45]  
Resing KA(1999)Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast Nature Biotech. 17 994-386
[46]  
Zhang B(2002)Proteome-wide cellular protein concentrations of the human pathogen Mol. Cell. Proteomics 1 376-1904
[47]  
Chambers MC(2003)A HUPO test sample study reveals common problems in mass spectrometry-based proteomics Anal. Chem. 75 1895-1169
[48]  
Tabb DL(2004)Quantitative mass spectrometry in proteomics: a critical review Mol. Cell. Proteomics 3 1154-156
[49]  
Searle BC(2006)Quantitative proteomics by metabolic labeling of model organisms Mol. Cell. Proteomics 5 144-124
[50]  
Turner M(2007)Quantitative analysis of complex protein mixtures using isotope-coded affinity tags Nature Biotech. 25 117-1372