title: iQuantitator: a tool for protein expression inference using iTRAQ.
abstract: BACKGROUND
  Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) [Applied Biosystems] have seen increased application in differential protein expression analysis. To facilitate the growing need to analyze iTRAQ data, especially for cases involving multiple iTRAQ experiments, we have developed a modeling approach, statistical methods, and tools for estimating the relative changes in protein expression under various treatments and experimental conditions.
  
  
  RESULTS
  This modeling approach provides a unified analysis of data from multiple iTRAQ experiments and links the observed quantity (reporter ion peak area) to the experiment design and the calculated quantity of interest (treatment-dependent protein and peptide fold change) through an additive model under log transformation. Others have demonstrated, through a case study, this modeling approach and noted the computational challenges of parameter inference in the unbalanced data set typical of multiple iTRAQ experiments. Here we present the development of an inference approach, based on hierarchical regression with batching of regression coefficients and Markov Chain Monte Carlo (MCMC) methods that overcomes some of these challenges. In addition to our discussion of the underlying method, we also present our implementation of the software, simulation results, experimental results, and sample output from the resulting analysis report.
  
  
  CONCLUSIONS
  iQuantitator's process-based modeling approach overcomes limitations in current methods and allows for application in a variety of experimental designs. Additionally, hypertext-linked documents produced by the tool aid in the interpretation and exploration of results.
authors.affiliation: Department of Biochemistry, Medical University of South Carolina, Charleston, South Carolina, USA. schwacke@musc.edu
authors.forename: John H
authors.initials: JH
authors.lastname: Schwacke
authors.forename: Elizabeth G
authors.initials: EG
authors.lastname: Hill
authors.forename: Edward L
authors.initials: EL
authors.lastname: Krug
authors.forename: Susana
authors.initials: S
authors.lastname: Comte-Walters
authors.forename: Kevin L
authors.initials: KL
authors.lastname: Schey
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D008390:Markov Chains; D009010:Monte Carlo Method; D011506:Proteins / Q000737:chemistry*; D040901:Proteomics / Q000379:methods; D012984:Software
chemical_list: D011506:Proteins