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Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Hartler, J; Triebl, A; Ziegl, A; Trötzmüller, M; Rechberger, GN; Zeleznik, OA; Zierler, KA; Torta, F; Cazenave-Gassiot, A; Wenk, MR; Fauland, A; Wheelock, CE; Armando, AM; Quehenberger, O; Zhang, Q; Wakelam, MJO; Haemmerle, G; Spener, F; Köfeler, HC; Thallinger, GG.
Deciphering lipid structures based on platform-independent decision rules.
Nat Methods. 2017; 14(12): 1171-1174.
Doi: 10.1038/nmeth.4470
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- Führende Autor*innen der Med Uni Graz
- Hartler Jürgen
- Köfeler Harald
- Triebl Alexander
- Co-Autor*innen der Med Uni Graz
- Spener Friedrich
- Trötzmüller Martin
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- 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.
- Find related publications in this database (using NLM MeSH Indexing)
- Algorithms -
- Animals -
- Chromatography, Liquid - methods
- Lipids - analysis
- Lipids - chemistry
- Liver - chemistry
- Mice -
- Molecular Structure -
- Reproducibility of Results -
- Sensitivity and Specificity -
- Tandem Mass Spectrometry - methods