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.
authors.affiliation: Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, Charleston, SC 29425, USA. hille@musc.edu
authors.forename: Elizabeth G
authors.initials: EG
authors.lastname: Hill
authors.forename: John H
authors.initials: JH
authors.lastname: Schwacke
authors.forename: Susana
authors.initials: S
authors.lastname: Comte-Walters
authors.forename: Elizabeth H
authors.initials: EH
authors.lastname: Slate
authors.forename: Ann L
authors.initials: AL
authors.lastname: Oberg
authors.forename: Jeanette E
authors.initials: JE
authors.lastname: Eckel-Passow
authors.forename: Terry M
authors.initials: TM
authors.lastname: Therneau
authors.forename: Kevin L
authors.initials: KL
authors.lastname: Schey
mesh_terms: D000595:Amino Acid Sequence; D000704:Analysis of Variance; D002364:Caseins / Q000032:analysis; D002851:Chromatography, High Pressure Liquid; D004798:Enzymes / Q000032:analysis; D020869:Gene Expression Profiling; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods; D015233:Models, Statistical; D008969:Molecular Sequence Data; D014176:Protein Biosynthesis; D017510:Protein Folding; D011506:Proteins / Q000032:analysis*; D012710:Serum Albumin, Bovine / Q000032:analysis; D012984:Software
chemical_list: D002364:Caseins; D004798:Enzymes; D011506:Proteins; D012710:Serum Albumin, Bovine