A statistical model for iTRAQ data analysis

Elizabeth G. Hill, John H. Schwacke, Susana Comte-Walters, Elizabeth H. Slate, Ann L. Oberg, Jeanette E. Eckel-Passow, Terry M. Therneau, Kevin L. Schey

Research output: Contribution to journalArticle

61 Scopus citations


We describe biological and experimental factors that induce variability in reporter ion peak areas obtained from iTRAQ experiments. We demonstrate how these factors can be incorporated into a statistical model for use in evaluating differential protein expression and highlight the benefits of using analysis of variance to quantify fold change. We demonstrate the model's utility based on an analysis of iTRAQ data derived from a spike-in study.

Original languageEnglish (US)
Pages (from-to)3091-3101
Number of pages11
JournalJournal of Proteome Research
Issue number8
StatePublished - Aug 1 2008


  • Analysis of variance
  • Differential expression
  • Itraq
  • Mass spectrometry

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)

Fingerprint Dive into the research topics of 'A statistical model for iTRAQ data analysis'. Together they form a unique fingerprint.

  • Cite this

    Hill, E. G., Schwacke, J. H., Comte-Walters, S., Slate, E. H., Oberg, A. L., Eckel-Passow, J. E., Therneau, T. M., & Schey, K. L. (2008). A statistical model for iTRAQ data analysis. Journal of Proteome Research, 7(8), 3091-3101. https://doi.org/10.1021/pr070520u