title: Improved reproducibility of reverse-phase protein microarrays using array microenvironment normalization.
abstract: We introduce a novel experimental methodology for the reverse-phase protein microarray platform which reduces the typical measurement CV as much as 70%. The methodology, referred to as array microenvironment normalization, increases the statistical power of the platform. In the experiment, it enabled the detection of a 1.1-fold shift in prostate specific antigen concentration using approximately six technical replicates rather than the 37 replicates previously required. The improved reproducibility and statistical power should facilitate clinical implementation of the platform.
authors.affiliation: Institute for Computational Medicine, Center for Cardiovascular Bioinformatics and Modeling, Johns Hopkins University, Baltimore, MD 21218, USA. troy@jhu.edu
authors.forename: Troy
authors.initials: T
authors.lastname: Anderson
authors.forename: Julia
authors.initials: J
authors.lastname: Wulfkuhle
authors.forename: Lance
authors.initials: L
authors.lastname: Liotta
authors.forename: Raimond L
authors.initials: RL
authors.lastname: Winslow
authors.forename: Emanuel
authors.initials: E
authors.lastname: Petricoin
mesh_terms: D006801:Humans; D016014:Linear Models; D008297:Male; D017430:Prostate-Specific Antigen / Q000032:analysis*; D040081:Protein Array Analysis / Q000379:methods*; D015203:Reproducibility of Results
chemical_list: D017430:Prostate-Specific Antigen