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Experimental validation of predicted cancer genes using FRET
Stockholm Univ, Dept Biochem & Biophys, Stockholm Bioinformat Ctr, Sci Life Lab, Box 1031, S-17121 Solna, Sweden..ORCID iD: 0000-0003-2245-7557
KTH, School of Engineering Sciences (SCI), Applied Physics. KTH, Centres, Science for Life Laboratory, SciLifeLab.
KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Biotechnology (BIO).
KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences (SCI), Applied Physics.
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2018 (English)In: METHODS AND APPLICATIONS IN FLUORESCENCE, ISSN 2050-6120, Vol. 6, no 3, article id 035007Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
IOP PUBLISHING LTD , 2018. Vol. 6, no 3, article id 035007
Keywords [en]
fluorescent resonance energy transfer, experimental validation, protein-protein interactions, gene prioritization, cancer, MaxLink, functional association networks
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:kth:diva-227730DOI: 10.1088/2050-6120/aab932ISI: 000430949900004PubMedID: 29570091OAI: oai:DiVA.org:kth-227730DiVA, id: diva2:1205777
Funder
Swedish Research Council, VR 2015-05342
Note

QC 20180515

Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-05-15Bibliographically approved

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Guala, DimitriBernhem, KristofferBlal, Hammou AitJans, DanielLundberg, EmmaBrismar, Hjalmar
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