Mass spectrometry-based quantitative proteomics

被引:70
作者
Heck, AJR
Krijgsveld, J
机构
[1] Univ Utrecht, Dept Biomol Mass Spectrometry, Bijvoet Ctr, NL-3584 CA Utrecht, Netherlands
[2] Univ Utrecht, Inst Pharmacol Sci, NL-3584 CA Utrecht, Netherlands
关键词
expression proteomics ICAT; metabolic labeling; protein quantification; SILAC;
D O I
10.1586/14789450.1.3.317
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A major aim of present-day proteomics is to study changes in protein expression levels at a global level, ideally monitoring all proteins present in cells or tissue. Mass spectrometry is a well-respected technology in proteomics that is widely used for the identification of proteins. More recently, methodologies have been introduced showing that mass spectrometry can also be used for protein quantification. This article reviews various mass spectrometry-based technologies in quantitative proteomics, highlighting several interesting applications in areas ranging from cell biology to clinical applications.
引用
收藏
页码:317 / 326
页数:10
相关论文
共 75 条
[1]   A novel experimental design for comparative two-dimensional gel analysis: Two-dimensional difference gel electrophoresis incorporating a pooled internal standard [J].
Alban, A ;
David, SO ;
Bjorkesten, L ;
Andersson, C ;
Sloge, E ;
Lewis, S ;
Currie, I .
PROTEOMICS, 2003, 3 (01) :36-44
[2]   Proteomic characterization of the human centrosome by protein correlation profiling [J].
Andersen, JS ;
Wilkinson, CJ ;
Mayor, T ;
Mortensen, P ;
Nigg, EA ;
Mann, M .
NATURE, 2003, 426 (6966) :570-574
[3]   Identification of cross-linked peptides for protein interaction studies using mass spectrometry and 18O labeling [J].
Back, JW ;
Notenboom, V ;
de Koning, LJ ;
Muijsers, AO ;
Sixma, TK ;
de Koster, CG ;
de Jong, LZ .
ANALYTICAL CHEMISTRY, 2002, 74 (17) :4417-4422
[4]   Absolute quantification of the G protein-coupled receptor rhodopsin by LC/MS/MS using proteolysis product peptides and synthetic peptide standards [J].
Barnidge, DR ;
Dratz, EA ;
Martin, T ;
Bonilla, LE ;
Moran, LB ;
Lindall, A .
ANALYTICAL CHEMISTRY, 2003, 75 (03) :445-451
[5]  
Barr JR, 1996, CLIN CHEM, V42, P1676
[6]   Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics [J].
Blagoev, B ;
Ong, SE ;
Kratchmarova, I ;
Mann, M .
NATURE BIOTECHNOLOGY, 2004, 22 (09) :1139-1145
[7]   A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signaling [J].
Blagoev, B ;
Kratchmarova, I ;
Ong, SE ;
Nielsen, M ;
Foster, LJ ;
Mann, M .
NATURE BIOTECHNOLOGY, 2003, 21 (03) :315-318
[8]   A physical and functional map of the human TNF-α NF-κB signal transduction pathway [J].
Bouwmeester, T ;
Bauch, A ;
Ruffner, H ;
Angrand, PO ;
Bergamini, G ;
Croughton, K ;
Cruciat, C ;
Eberhard, D ;
Gagneur, J ;
Ghidelli, S ;
Hopf, C ;
Huhse, B ;
Mangano, R ;
Michon, AM ;
Schirle, M ;
Schlegl, J ;
Schwab, M ;
Stein, MA ;
Bauer, A ;
Casari, G ;
Drewes, G ;
Gavin, AC ;
Jackson, DB ;
Joberty, G ;
Neubauer, G ;
Rick, J ;
Kuster, B ;
Superti-Furga, G .
NATURE CELL BIOLOGY, 2004, 6 (02) :97-+
[9]   Dynamic changes in transcription factor complexes during erythroid differentiation revealed by quantitative proteomics [J].
Brand, M ;
Ranish, JA ;
Kummer, NT ;
Hamilton, J ;
Igarashi, K ;
Francastel, C ;
Chi, TH ;
Crabtree, GR ;
Aebersold, R ;
Groudine, M .
NATURE STRUCTURAL & MOLECULAR BIOLOGY, 2004, 11 (01) :73-80
[10]   Investigation of doxorubicin resistance in MCF-7 breast cancer cells using shot-gun comparative proteomics with proteolytic 18O labeling [J].
Brown, KJ ;
Fenselau, C .
JOURNAL OF PROTEOME RESEARCH, 2004, 3 (03) :455-462