Sven Hackbusch, David A. Peake, Reiko Kiyonami
ASMS 2019 Poster
Purpose: To demonstrate the application of an automated background-exclusion and compound-inclusion generation workflow for global lipidome profiling, leading to a greater number and greater confidence of lipid annotations.
Methods: Bovine liver and heart total lipid extracts (Avanti Polar Lipids) were analyzed using a Thermo Scientific™ Vanquish™ UHPLC system coupled with a Thermo Scientific™ Orbitrap ID-X™ Tribrid™ mass spectrometer. The data was processed using Thermo Scientific™ LipidSearch™ 4.2 software.
Results: The use of automated feature exclusion and compound inclusion lists leads to an increase in lipid annotations in the analysis of Bovine liver and heart extracts, in particular for low abundance lipids, from the additional non-redundant fragmentation data that was generated in this experiment .
Thermo Fisher Scientific, San Jose, CA, USA
United States
