A Statistical Model for ITRAQ Data Analysis

Overview

Journal J Proteome Res

Publisher American Chemical Society

Specialty Biochemistry

Date 2008 Jun 27

PMID 18578521

Citations 51

Authors

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

Affiliations

Soon will be listed here.

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.

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