A Targeted, Bioinert LC-MS/MS Method for Sensitive, Comprehensive Analysis of Signaling Lipids

Stefanie Rubenzucker, Mailin Christin Manke, Rainer Lehmann, Alice Assinger, Oliver Borst, Robert Ahrends (Corresponding author)

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Signaling lipids are key players in cellular processes. Despite their importance, no method currently allows their comprehensive monitoring in one analytical run. Challenges include a wide dynamic range, isomeric and isobaric species, and unwanted interaction along the separation path. Herein, we present a sensitive and robust targeted liquid chromatography-mass spectrometry (LC-MS/MS) approach to overcome these challenges, covering a broad panel of 17 different signaling lipid classes. It involves a simple one-phase sample extraction and lipid analysis using bioinert reversed-phase liquid chromatography coupled to targeted mass spectrometry. The workflow shows excellent sensitivity and repeatability in different biological matrices, enabling the sensitive and robust monitoring of 388 lipids in a single run of only 20 min. To benchmark our workflow, we characterized the human plasma signaling lipidome, quantifying 307 endogenous molecular lipid species. Furthermore, we investigated the signaling lipidome during platelet activation, identifying numerous regulations along important lipid signaling pathways. This highlights the potential of the presented method to investigate signaling lipids in complex biological systems, enabling unprecedentedly comprehensive analysis and direct insight into signaling pathways.

Original languageEnglish
Pages (from-to)9643-9652
Number of pages10
JournalAnalytical Chemistry
Volume96
Issue number23
Early online date2024
DOIs
Publication statusPublished - 11 Jun 2024

Austrian Fields of Science 2012

  • 301302 Lipidomics research
  • 104002 Analytical chemistry

Fingerprint

Dive into the research topics of 'A Targeted, Bioinert LC-MS/MS Method for Sensitive, Comprehensive Analysis of Signaling Lipids'. Together they form a unique fingerprint.

Cite this