Designing biomedical proteomics experiments: state-of-the-art and future perspectives. (3rd May 2016)

• Record Type: Journal Article
• Authors: Maes, Evelyne; Kelchtermans, Pieter; Bittremieux, Wout; De Grave, Kurt; Degroeve, Sven; Hooyberghs, Jef; Mertens, Inge; Baggerman, Geert; Ramon, Jan; Laukens, Kris; Martens, Lennart; Valkenborg, Dirk
• Is Part Of: Expert review of proteomics. Volume 13:Number 5(2016)
• Page Start: 495
• Page End: 511
• Publication Date: 2016-05-03
• Subjects: Design of experiments -- proteomics -- mass spectrometry -- bioinformatics -- computer-aided optimization of LC-MS; Proteins -- Biotechnology -- Periodicals; Proteomics -- Periodicals; 572.6
• DOI: 10.1586/14789450.2016.1172967
• Languages: English
• ISSNs: 1478-9450

Abstract

ABSTRACT: With the current expanded technical capabilities to perform mass spectrometry-based biomedical proteomics experiments, an improved focus on the design of experiments is crucial. As it is clear that ignoring the importance of a good design leads to an unprecedented rate of false discoveries which would poison our results, more and more tools are developed to help researchers designing proteomic experiments. In this review, we apply statistical thinking to go through the entire proteomics workflow for biomarker discovery and validation and relate the considerations that should be made at the level of hypothesis building, technology selection, experimental design and the optimization of the experimental parameters.