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

doi:10.1021/pr070520u

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

Quantitative Health Sciences

Research output: Contribution to journal › Article › peer-review

66 Scopus citations

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.

Original language	English (US)
Pages (from-to)	3091-3101
Number of pages	11
Journal	Journal of Proteome Research
Volume	7
Issue number	8
DOIs	https://doi.org/10.1021/pr070520u
State	Published - Aug 2008

Keywords

ANOVA
Analysis of variance
Differential expression
Itraq
Mass spectrometry

ASJC Scopus subject areas

General Chemistry
Biochemistry

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10.1021/pr070520u

Cite this

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title = "A statistical model for iTRAQ data analysis",

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.",

keywords = "ANOVA, Analysis of variance, Differential expression, Itraq, Mass spectrometry",

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

year = "2008",

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language = "English (US)",

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AU - Hill, Elizabeth G.

AU - Schwacke, John H.

AU - Comte-Walters, Susana

AU - Slate, Elizabeth H.

AU - Oberg, Ann L.

AU - Eckel-Passow, Jeanette E.

AU - Therneau, Terry M.

AU - Schey, Kevin L.

PY - 2008/8

Y1 - 2008/8

N2 - 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.

AB - 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.

KW - ANOVA

KW - Analysis of variance

KW - Differential expression

KW - Itraq

KW - Mass spectrometry

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JO - Journal of Proteome Research

JF - Journal of Proteome Research

IS - 8

ER -

A statistical model for iTRAQ data analysis

Abstract

Keywords

ASJC Scopus subject areas

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