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J Proteome Res. 2008 Aug;7(8):3091-101. doi: 10.1021/pr070520u. Epub 2008 Jun 26.

A statistical model for iTRAQ data analysis.

Author information

1
Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, Charleston, SC 29425, USA. hille@musc.edu

Abstract

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.

PMID:
18578521
PMCID:
PMC2722948
DOI:
10.1021/pr070520u
[Indexed for MEDLINE]
Free PMC Article

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