QTIPS: A Novel Method of Unsupervised Determination of Isotopic Amino Acid Distribution in SILAC Experiments

被引:10
作者
Dilworth, David J. [1 ]
Saleem, Ramsey A. [1 ]
Rogers, Richard S. [1 ]
Mirzaei, Hamid [1 ]
Boyle, John [1 ]
Aitchison, John D. [1 ]
机构
[1] Inst Syst Biol, Aitchison Lab, Seattle, WA 98103 USA
基金
美国国家卫生研究院;
关键词
CELL-CULTURE; TANDEM; ACCURACY; PROTEINS; ARGININE; MS/MS;
D O I
10.1016/j.jasms.2010.04.002
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Stable incorporation of labeled amino acids in cell culture is a simple approach to label proteins in vivo for mass spectrometric quantification. Full incorporation of isotopically heavy amino acids facilitates accurate quantification of proteins from different cultures, yet analysis methods for determination of incorporation are cumbersome and time-consuming. We present QTIPS, Quantification by Total Identified Peptides for SILAC, a straightforward, accurate method to determine the level of heavy amino acid incorporation throughout a population of peptides detected by mass spectrometry. Using QTIPS, we show that the incorporation of heavy amino acids in baker's yeast is unaffected by the use of prototrophic strains, indicating that auxotrophy is not a requirement for SILAC experiments in this organism. This method has general utility for multiple applications where isotopic labeling is used for quantification in mass spectrometry. Am Soc Mass Spectrom 2010, 21, 1417-1422) (C) 2010 American Society for Mass Spectrometry
引用
收藏
页码:1417 / 1422
页数:6
相关论文
共 20 条
  • [1] Quantification of protein half-lives in the budding yeast proteome
    Belle, Archana
    Tanay, Amos
    Bitincka, Ledion
    Shamir, Ron
    O'Shea, Erin K.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (35) : 13004 - 13009
  • [2] TANDEM: matching proteins with tandem mass spectra
    Craig, R
    Beavis, RC
    [J]. BIOINFORMATICS, 2004, 20 (09) : 1466 - 1467
  • [3] Quantitative phosphoproteomics applied to the yeast pheromone signaling pathway
    Gruhler, A
    Olsen, JV
    Mohammed, S
    Mortensen, P
    Færgeman, NJ
    Mann, M
    Jensen, ON
    [J]. MOLECULAR & CELLULAR PROTEOMICS, 2005, 4 (03) : 310 - 327
  • [4] Quantitative profiling of differentiation-induced microsomal proteins using isotope-coded affinity tags and mass spectrometry
    Han, DK
    Eng, J
    Zhou, HL
    Aebersold, R
    [J]. NATURE BIOTECHNOLOGY, 2001, 19 (10) : 946 - 951
  • [5] Comparison of Database Search Strategies for High Precursor Mass Accuracy MS/MS Data
    Hsieh, Edward J.
    Hoopmann, Michael R.
    MacLean, Brendan
    MacCoss, Michael J.
    [J]. JOURNAL OF PROTEOME RESEARCH, 2010, 9 (02) : 1138 - 1143
  • [6] Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search
    Keller, A
    Nesvizhskii, AI
    Kolker, E
    Aebersold, R
    [J]. ANALYTICAL CHEMISTRY, 2002, 74 (20) : 5383 - 5392
  • [7] A uniform proteomics MS/MS analysis platform utilizing open XML file formats
    Keller, Andrew
    Eng, Jimmy
    Zhang, Ning
    Li, Xiao-jun
    Aebersold, Ruedi
    [J]. MOLECULAR SYSTEMS BIOLOGY, 2005, 1 (1) : 2005.0017
  • [8] SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function
    Krueger, Marcus
    Moser, Markus
    Ussar, Siegfried
    Thievessen, Ingo
    Luber, Christian A.
    Forner, Francesca
    Schmidt, Sarah
    Zanivan, Sara
    Faessler, Reinhard
    Mann, Matthias
    [J]. CELL, 2008, 134 (02) : 353 - 364
  • [9] Automated statistical analysis of protein abundance ratios from data generated by stable-isotope dilution and tandem mass spectrometry
    Li, XJ
    Zhang, H
    Ranish, JA
    Aebersold, R
    [J]. ANALYTICAL CHEMISTRY, 2003, 75 (23) : 6648 - 6657
  • [10] General framework for developing and evaluating database scoring algorithms using the TANDEM search engine
    MacLean, Brendan
    Eng, Jimmy K.
    Beavis, Ronald C.
    McIntosh, Martin
    [J]. BIOINFORMATICS, 2006, 22 (22) : 2830 - 2832