Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid

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. [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG


Autor/innen der Med Uni Graz:
Hartler Jürgen
Köfeler Harald
Spener Friedrich
Triebl Alexander
Trötzmüller Martin

Dimensions Citations:

Plum Analytics:
Number of Figures: 1
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; 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

© Meduni Graz Impressum