Super-SILAC mix for quantitative proteomics of human tumor tissue

被引：378

作者：

Geiger, Tamar ^{[1
]}

Cox, Juergen ^{[1
]}

Ostasiewicz, Pawel ^{[1
]}

Wisniewski, Jacek R. ^{[1
]}

Mann, Matthias ^{[1
]}

机构：

[1] Max Planck Inst Biochem, Dept Prote & Signal Transduct, D-82152 Martinsried, Germany

来源：

NATURE METHODS | 2010年 / 7卷 / 05期

关键词：

SPECTROMETRY-BASED PROTEOMICS; BREAST-CANCER; CELL-CULTURE; AMINO-ACIDS; EXPRESSION; MARKERS; MOUSE;

D O I：

10.1038/nmeth.1446

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We describe a method to accurately quantify human tumor proteomes by combining a mixture of five stable-isotope labeling by amino acids in cell culture (SILAC)-labeled cell lines with human carcinoma tissue. This generated hundreds of thousands of isotopically labeled peptides in appropriate amounts to serve as internal standards for mass spectrometry-based analysis. By decoupling the labeling from the measurement, this super-SILAC method broadens the scope of SILAC-based proteomics.

引用

页码：383 / U64

页数：5

共 18 条

[1] Mass spectrometry-based proteomics [J].

Aebersold, R ;

Mann, M .

NATURE, 2003, 422 (6928) :198-207

[2]

Avril N, 2001, J NUCL MED, V42, P9

[3] Proteomics of breast cancer - Principles and potential clinical applications [J].

Bertucci, Francois ;

Birnbaum, Daniel ;

Goncalves, Anthony .

MOLECULAR & CELLULAR PROTEOMICS, 2006, 5 (10) :1772-1786

[4] MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification [J].

Cox, Juergen ;

Mann, Matthias .

NATURE BIOTECHNOLOGY, 2008, 26 (12) :1367-1372

[5] The biological impact of mass-spectrometry-based proteomics [J].

Cravatt, Benjamin F. ;

Simon, Gabriel M. ;

Yates, John R., III .

NATURE, 2007, 450 (7172) :991-1000

[6]

GAMALLO C, 1993, AM J PATHOL, V142, P987

[7] Quantitative mouse brain proteomics using culture-derived isotope tags as internal standards [J].

Ishihama, Y ;

Sato, T ;

Tabata, T ;

Miyamoto, N ;

Sagane, K ;

Nagasu, T ;

Oda, Y .

NATURE BIOTECHNOLOGY, 2005, 23 (05) :617-621

[8] Breast carcinomas fulfill the Warburg hypothesis and provide metabolic markers of cancer prognosis [J].

Isidoro, A ;

Casado, E ;

Redondo, A ;

Acebo, P ;

Espinosa, E ;

Alonso, AM ;

Cejas, P ;

Hardisson, D ;

Fresno Vara, JA ;

Belda-Iniesta, C ;

González-Barón, M ;

Cuezva, JM .

CARCINOGENESIS, 2005, 26 (12) :2095-2104

[9] Proteomic Contributions to Personalized Cancer Care [J].

Koomen, John M. ;

Haura, Eric B. ;

Bepler, Gerold ;

Sutphen, Rebecca ;

Remily-Wood, Elizabeth R. ;

Benson, Kaaron ;

Hussein, Mohamad ;

Hazlehurst, Lori A. ;

Yeatman, Timothy J. ;

Hildreth, Lynne T. ;

Sellers, Thomas A. ;

Jacobsen, Paul B. ;

Fenstermacher, David A. ;

Dalton, William S. .

MOLECULAR & CELLULAR PROTEOMICS, 2008, 7 (10) :1780-1794

[10] SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function [J].

Krueger, Marcus ;

Moser, Markus ;

Ussar, Siegfried ;

Thievessen, Ingo ;

Luber, Christian A. ;

Forner, Francesca ;

Schmidt, Sarah ;

Zanivan, Sara ;

Faessler, Reinhard ;

Mann, Matthias .

CELL, 2008, 134 (02) :353-364

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