Deciphering lipid structures based on platform-independent decision rules

Jürgen Hartler, Alexander Triebl, Andreas Ziegl, Martin Trötzmüller, Gerald N. Rechberger, Oana A. 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 J.O. Wakelam, Guenter Haemmerle, Friedrich Spener, Harald C. Köfeler*, Gerhard G. Thallinger

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

130 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1171-1174
Number of pages4
JournalNature Methods
Volume14
Issue number12
DOIs
Publication statusPublished - 1 Dec 2017
Externally publishedYes

Fingerprint

Dive into the research topics of 'Deciphering lipid structures based on platform-independent decision rules'. Together they form a unique fingerprint.

Cite this