ITRAQ-Based and Label-Free Proteomics Approaches for Studies of Human Adenovirus Infections. (3rd March 2013)

• Record Type: Journal Article
• Authors: Trinh, Hung V.; Grossmann, Jonas; Gehrig, Peter; Roschitzki, Bernd; Schlapbach, Ralph; Greber, Urs F.; Hemmi, Silvio
• Other Names: Wasinger Valerie Academic Editor.
• Is Part Of: International journal of proteomics. Volume 2013(2013)
• Publication Date: 2013-03-03
• Subjects: Proteomics -- Periodicals; Proteomics; Proteomics; Electronic journals; Periodical; Fulltext; Internet Resources; Periodicals; Periodicals; 572.6
• DOI: 10.1155/2013/581862
• Languages: English
• ISSNs: 2090-2166

Abstract

Abstract : Both isobaric tags for relative and absolute quantitation (iTRAQ) and label-free methods are widely used for quantitative proteomics. Here, we provide a detailed evaluation of these proteomics approaches based on large datasets from biological samples. iTRAQ-label-based and label-free quantitations were compared using protein lysate samples from noninfected human lung epithelial A549 cells and from cells infected for 24 h with human adenovirus type 3 or type 5. Either iTRAQ-label-based or label-free methods were used, and the resulting samples were analyzed by liquid chromatography (LC) and tandem mass spectrometry (MS/MS). To reduce a possible bias from quantitation software, we applied several software packages for each procedure. ProteinPilot and Scaffold Q+ software were used for iTRAQ-labeled samples, while Progenesis LC-MS and ProgenesisF-T2PQ/T3PQ were employed for label-free analyses. R 2 correlation coefficients correlated well between two software packages applied to the same datasets with values between 0.48 and 0.78 for iTRAQ-label-based quantitations and 0.5 and 0.86 for label-free quantitations. Analyses of label-free samples showed higher levels of protein up- or downregulation in comparison to iTRAQ-labeled samples. The concentration differences were further evaluated by Western blotting for four downregulated proteins. These data suggested that the label-free method was more accurate than the iTRAQ method.