Journal article

A high-resolution HPLC-QqTOF platform using parallel reaction monitoring for in-depth lipid discovery and rapid profiling

D Yu, TWT Rupasinghe, BA Boughton, SHA Natera, CB Hill, P Tarazona, I Feussner, U Roessner

Analytica Chimica Acta | ELSEVIER SCIENCE BV | Published : 2018

Abstract

Here, we developed a robust lipidomics workflow merging both targeted and untargeted approaches on a single liquid chromatography coupled to quadrupole-time of flight (LC-QqTOF) mass spectrometry platform with parallel reaction monitoring (PRM). PRM assays integrate both untargeted profiling from MS1 scans and targeted profiling obtained from MS/MS data. This workflow enabled the discovery of more than 2300 unidentified features and identification of more than 600 lipid species from 23 lipid classes at the level of fatty acid/long chain base/sterol composition in a barley root extracts. We detected the presence of 142 glycosyl inositol phosphorylceramides (GIPC) with HN(Ac)-HA as the core st..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council


Funding Acknowledgements

This project and U.R. were funded through an Australian Research Council Future Fellowship program. D.Y has been funded through a Melbourne International Research Scholarship (MIRS) (University of Melbourne). I.F. was funded by the German Research Council (DFG, INST 186/1167-1). U.R., I.F. and D.Y. were also supported by a University Australia- Germany Joint Research Cooperation Scheme (DAAD 57140637). LC-MS experiments were carried out at Metabolomics Australia which is supported by funds from the Australian Government's National Collaborative Research Infrastructure Scheme (NCRIS) administered through Bioplatforms Australia (BPA) Ltd. The authors want to thank James A. Broadbent (SCIEX) for his assistance with 6600 TripleTOF (TM) operation and PRM assays setup. We also want to thank Dr. Stuart Roy (University of Adelaide) for providing barley seeds; and Mrs. Nirupama Jayasinghe, Mrs. Himasha Mendis and Ms. Veronica Lui (Metabolomics Australia) for GC-MS FAME analysis and quantification.