Mixed-model of ANOVA for measurement reproducibility in proteomics

✍ Scribed by Catherine Mercier; Caroline Truntzer; Delphine Pecqueur; Jean-Pascal Gimeno; Guillaume Belz; Pascal Roy

• Book ID: 104027463
• Publisher: Elsevier
• Year: 2009
• Tongue: English
• Weight: 699 KB
• Volume: 72
• Category: Article
• ISSN: 1874-3919
• DOI: 10.1016/j.jprot.2009.05.005

✦ Synopsis

This work is a statistical analysis of reproducibility of a MALDI-TOF mass spectrometry experiment. Its aim is to evaluate measurement variability and compare peak intensities from two types of MALDI-TOF platforms. We compared and commented on the abilities of Principal Component Analysis and mixed-model analysis of variance to evaluate the biological variability and the technical variability of peak intensities in different patients. The properties and hypotheses of both methods are summarized and applied to spectra from plasma of patients with Hodgkin lymphoma. Principal Component Analysis checks rapidly the balance between the two variabilities; however, a mixed-model analysis of variance is necessary to quantify the biological and technical components of the experimental variance as well as their interactions and to split the total variance into between-subjects and within-subject components. The latter method helped to assess the reproducibility of measurements from two MALDI-TOF platforms and to decompose the technical variability according to the experimental design.