Deciphering lipid structures based on platform-independent decision rules

Jürgen Hartler, Alexander Triebl, Andreas Ziegl, Martin Trötzmüller, Gerald N Rechberger, Oana Alina Zeleznik, Kathrin A Zierler, Federico Torta, Amaury Cazenave-Gassiot, Markus R Wenk, Alexander Fauland, Craig E Wheelock, Aaron M Armando, Oswald Quehenberger, Qifeng Zhang, Michael JO Wakelam, Guenter Haemmerle, Friedrich Spener, Harald C Köfeler, Gerhard G Thallinger

    Publikation: Beitrag in einer FachzeitschriftArtikelBegutachtung

    Abstract

    We achieve automated and reliable annotation of lipid species and their molecular structures in high-throughput data from chromatography-coupled tandem mass spectrometry using decision rule sets embedded in Lipid Data Analyzer (LDA; http://genome.tugraz.at/lda2). Using various low- and high-resolution mass spectrometry instruments with several collision energies, we proved the method's platform independence. We propose that the software's reliability, flexibility, and ability to identify novel lipid molecular species may now render current state-of-the-art lipid libraries obsolete.

    Originalspracheenglisch
    Seiten (von - bis)1171-1174
    FachzeitschriftNature Methods
    Jahrgang14
    Ausgabenummer12
    Frühes Online-Datum23 Okt. 2017
    DOIs
    PublikationsstatusVeröffentlicht - 1 Dez. 2017

    Fields of Expertise

    • Human- & Biotechnology
    • Information, Communication & Computing

    Treatment code (Nähere Zuordnung)

    • Application

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