Experimental validation of predicted cancer genes using FRET. (25th April 2018)

• Record Type: Journal Article
• Authors: Guala, Dimitri; Bernhem, Kristoffer; Blal, Hammou Ait; Jans, Daniel; Lundberg, Emma; Brismar, Hjalmar; Sonnhammer, Erik L L
• Is Part Of: Methods and applications in fluorescence. Volume 6:Number 3(2018:Sep.)
• Publication Date: 2018-04-25
• Subjects: fluorescent resonance energy transfer -- experimental validation -- protein-protein interactions -- gene prioritization -- cancer -- MaxLink -- functional association networks; Fluorescence spectroscopy -- Periodicals; Fluorescence -- Periodicals; Spectrometry, Fluorescence -- Periodicals; Fluorescence -- Periodicals; Fluorescence; Fluorescence spectroscopy; Periodicals; 535.352
• DOI: 10.1088/2050-6120/aab932
• Languages: English
• ISSNs: 2050-6120

Abstract

Abstract: Huge amounts of data are generated in genome wide experiments, designed to investigate diseases with complex genetic causes. Follow up of all potential leads produced by such experiments is currently cost prohibitive and time consuming. Gene prioritization tools alleviate these constraints by directing further experimental efforts towards the most promising candidate targets. Recently a gene prioritization tool called MaxLink was shown to outperform other widely used state-of-the-art prioritization tools in a large scale in silico benchmark. An experimental validation of predictions made by MaxLink has however been lacking. In this study we used Fluorescence Resonance Energy Transfer, an established experimental technique for detection of protein-protein interactions, to validate potential cancer genes predicted by MaxLink. Our results provide confidence in the use of MaxLink for selection of new targets in the battle with polygenic diseases.