Correlation of mRNA and protein in complex biological samples

被引:1382
作者
Maier, Tobias [1 ]
Guell, Marc [1 ]
Serrano, Luis [1 ]
机构
[1] Ctr Genom Regulat, Syst Biol Unit, Barcelona 08003, Spain
来源
FEBS LETTERS | 2009年 / 583卷 / 24期
基金
欧洲研究理事会;
关键词
mRNA; Protein; Quantitative; Systems biology; Genomics; Proteomics; TANDEM MASS-SPECTROMETRY; YEAST SACCHAROMYCES-CEREVISIAE; CODON ADAPTATION INDEX; GENOME-WIDE ANALYSIS; N-END RULE; GENE-EXPRESSION; QUANTITATIVE PROTEOMICS; ABSOLUTE QUANTIFICATION; DESULFOVIBRIO-VULGARIS; RELATIVE QUANTITATION;
D O I
10.1016/j.febslet.2009.10.036
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The correlation between mRNA and protein abundances in the cell has been reported to be notoriously poor. Recent technological advances in the quantitative analysis of mRNA and protein species in complex samples allow the detailed analysis of this pathway at the center of biological systems. We give an overview of available methods for the identification and quantification of free and ribosome-bound mRNA, protein abundances and individual protein turnover rates. We review available literature on the correlation of mRNA and protein abundances and discuss biological and technical parameters influencing the correlation of these central biological molecules. (c) 2009 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:3966 / 3973
页数:8
相关论文
共 86 条
[61]   Correlation between mRNA and protein abundance in Desulfovibrio vulgaris:: A multiple regression to identify sources of variations [J].
Nie, L ;
Wu, G ;
Zhang, WW .
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2006, 339 (02) :603-610
[62]   Correlation of mRNA expression and protein abundance affected by multiple sequence features related to translational efficiency in Desulfovibrio vulgaris:: A quantitative analysis [J].
Nie, Lei ;
Wu, Gang ;
Zhang, Weiwen .
GENETICS, 2006, 174 (04) :2229-2243
[63]   Hybridization interactions between probesets in short oligo microarrays lead to spurious correlations [J].
Okoniewski, Michal J. ;
Miller, Crispin J. .
BMC BIOINFORMATICS, 2006, 7 (1)
[64]   Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics [J].
Ong, SE ;
Blagoev, B ;
Kratchmarova, I ;
Kristensen, DB ;
Steen, H ;
Pandey, A ;
Mann, M .
MOLECULAR & CELLULAR PROTEOMICS, 2002, 1 (05) :376-386
[65]   Mass spectrometry-based proteomics turns quantitative [J].
Ong, SE ;
Mann, M .
NATURE CHEMICAL BIOLOGY, 2005, 1 (05) :252-262
[66]   Comparative Proteomic Phenotyping of Cell Lines and Primary Cells to Assess Preservation of Cell Type-specific Functions [J].
Pan, Cuiping ;
Kumar, Chanchal ;
Bohl, Sebastian ;
Klingmueller, Ursula ;
Mann, Matthias .
MOLECULAR & CELLULAR PROTEOMICS, 2009, 8 (03) :443-450
[67]   Experimental and computational approaches to quantitative proteomics: Status quo and outlook [J].
Panchaud, Alexandre ;
Affolter, Michael ;
Moreillon, Philippe ;
Kussmann, Martin .
JOURNAL OF PROTEOMICS, 2008, 71 (01) :19-33
[68]   Rainbow's end: the quest for multiplexed fluorescence quantitative analysis in proteomics [J].
Patton, WF ;
Beechem, JM .
CURRENT OPINION IN CHEMICAL BIOLOGY, 2002, 6 (01) :63-69
[69]   Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: The yeast proteome [J].
Peng, JM ;
Elias, JE ;
Thoreen, CC ;
Licklider, LJ ;
Gygi, SP .
JOURNAL OF PROTEOME RESEARCH, 2003, 2 (01) :43-50
[70]  
PICOTTI P, 2009, CELL