iTRAQ-based quantitative analysis of protein mixtures with large fold change and dynamic range

Proteomics

Volumn 10, Issue 2, 2010, Pages 343-347

  Casado Vela, Juan ^a   Martínez Esteso, María José ^b   Rodriguez, Eva ^a   Borrás, Eva ^c   Elortza, Felix ^a   Bru Martínez, Roque ^b  

^a CIC BIOGUNE   (Spain)

^b UNIVERSITY OF ALICANTE   (Spain)

^c UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

Higher energy collision induced dissociation fragmentation; iTRAQ; LTQ orbitrap; Quantitation; Technology

Indexed keywords

ALGORITHM; ARTICLE; CONCENTRATION (PARAMETERS); HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; HUMAN; ITRAQ BASED QUANTITATIVE ANALYSIS; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN EXPRESSION; PROTEIN FOLDING; PROTEOMICS; QUANTITATIVE ANALYSIS; RELIABILITY; TANDEM MASS SPECTROMETRY;

ALGORITHMS; PROTEOME; PROTEOMICS; TANDEM MASS SPECTROMETRY;

CITRUS MAXIMA;

EID: 76749137236     PISSN: 16159853     EISSN: 16159861     Source Type: Journal    
DOI: 10.1002/pmic.200900509     Document Type: Article

References (12)

1. Ross, P. L., Huang, Y. N., Marchese, J. N., Williamson, B. et al., Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents. Mol. Cell Proteomics 2004, 3, 1154-1169.
2. Pierce, A., Unwin, R. D., Evans, C. A., Griffiths, S. et al., Eight-channel iTRAQ enables comparison of the activity of six leukemogenic tyrosine kinases. Mol. Cell Proteomics 2008, 7, 853-863.
3. DeSouza, L. V., Taylor, A. M., Li, W., Minkoff, M. S. et al., Multiple reaction monitoring of mTRAQ-labeled peptides enables absolute quantification of endogenous levels of a potential cancer marker in cancerous and normal endometrial tissues. J. Proteome Res. 2008, 7, 3525-3534.
4. Seth, M., Lamont, E. A., Janagama, H. K., Widdel, A. et al., Biomarker discovery in subclinical mycobacterial infections of cattle. PLoS One 2009, 4, e5478.
5. Malmstrom, J., Beck, M., Schmidt, A., Lange, V. et al., Proteome-wide cellular protein concentrations of the human pathogen Leptospira interrogans. Nature 2009, 460, 762-765.
6. Griffin, T. J., Xie, H., Bandhakavi, S., Popko, J. et al., iTRAQ reagent-based quantitative proteomic analysis on a linear ion trap mass spectrometer. J. Proteome Res. 2007, 6, 4200-4209.
7. Olsen, J. V., Macek, B., Lange, O., Makarov, A. et al., Higher-energy C-trap dissociation for peptide modification analysis. Nat. Methods 2007, 4, 709-712.
8. Casado-Vela, J., Rodriguez-Suarez, E., Iloro, I., Ametzazurra, A. et al., Comprehensive proteomic analysis of human endometrial fluid aspirate. J. Proteome Res. 2009, 8, 4622-4632.
9. Eng, J. K., McCormack, M., Yates, J. R., An approach to correlate tandem spectral data of peptides with amino sequences in a protein database. J. Am. Soc. Mass Spectrom. 1994, 5, 976-989.
10. Gehrig, P. M., Hunziker, P. E., Zahariev, S., Pongor, S., Fragmentation pathways of N(G)-methylated and unmodified arginine residues in peptides studied by ESI-MS/MS and MALDI-MS. J. Am. Soc. Mass Spectrom. 2004, 15, 142-149.
11. Chaerkady, R., Harsha, H. C., Nalli, A., Gucek, M. et al., A quantitative proteomic approach for identification of potential biomarkers in hepatocellular carcinoma. J. Proteome Res. 2008, 7, 4289-4298.
12. Thompson, A., Schafer, J., Kuhn, K., Kienle, S. et al., Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/ MS. Anal. Chem. 2003, 75, 1895-1904.