A statistical model for iTRAQ data analysis

被引：65

作者：

Hill, Elizabeth G. ^{[1
]}

Schwacke, John H.

Comte-Walters, Susana ^{[2
]}

Slate, Elizabeth H.

Oberg, Ann L. ^{[3
]}

Eckel-Passow, Jeanette E. ^{[3
]}

Therneau, Terry M. ^{[3
]}

Schey, Kevin L. ^{[2
]}

机构：

[1] Med Univ S Carolina, Hollings Canc Ctr, Dept Biostat Bioinformat & Epidemiol, Charleston, SC 29425 USA

[2] Med Univ S Carolina, Dept Cell & Mol Pharmacol, Charleston, SC 29425 USA

[3] Mayo Clin, Coll Med, Div Biostat, Rochester, MN 55905 USA

来源：

JOURNAL OF PROTEOME RESEARCH | 2008年 / 7卷 / 08期

关键词：

analysis of variance; ANOVA; iTRAQ; mass spectrometry; differential expression;

D O I：

10.1021/pr070520u

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：3091 / 3101

页数：11

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