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 journalArticlepeer-review

66 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 2008


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

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)


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