Cargando…

Quantitative Profiling of Long-Chain Bases by Mass Tagging and Parallel Reaction Monitoring

Long-chain bases (LCBs) are both intermediates in sphingolipid metabolism and potent signaling molecules that control cellular processes. To understand how regulation of sphingolipid metabolism and levels of individual LCB species impinge upon physiological and pathophysiological processes requires...

Descripción completa

Detalles Bibliográficos
Autores principales: Ejsing, Christer S., Bilgin, Mesut, Fabregat, Andreu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4684364/
https://www.ncbi.nlm.nih.gov/pubmed/26660097
http://dx.doi.org/10.1371/journal.pone.0144817
_version_ 1782406178154741760
author Ejsing, Christer S.
Bilgin, Mesut
Fabregat, Andreu
author_facet Ejsing, Christer S.
Bilgin, Mesut
Fabregat, Andreu
author_sort Ejsing, Christer S.
collection PubMed
description Long-chain bases (LCBs) are both intermediates in sphingolipid metabolism and potent signaling molecules that control cellular processes. To understand how regulation of sphingolipid metabolism and levels of individual LCB species impinge upon physiological and pathophysiological processes requires sensitive and specific assays for monitoring these molecules. Here we describe a shotgun lipidomics method for quantitative profiling of LCB molecules. The method employs a “mass-tag” strategy where LCBs are chemically derivatized with deuterated methyliodide (CD(3)I) to produce trimethylated derivatives having a positively charged quaternary amine group. This chemical derivatization minimizes unwanted in-source fragmentation of LCB analytes and prompts a characteristic trimethylaminium fragment ion that enables sensitive and quantitative profiling of LCB molecules by parallel reaction monitoring on a hybrid quadrupole time-of-flight mass spectrometer. Notably, the strategy provides, for the first time, a routine for monitoring endogenous 3-ketosphinganine molecules and distinguishing them from more abundant isomeric sphingosine molecules. To demonstrate the efficacy of the methodology we report an in-depth characterization of the LCB composition of yeast mutants with defective sphingolipid metabolism and the absolute levels of LCBs in mammalian cells. The strategy is generic, applicable to other types of mass spectrometers and can readily be applied as an additional routine in workflows for global lipidome quantification and for functional studies of sphingolipid metabolism.
format Online
Article
Text
id pubmed-4684364
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-46843642015-12-31 Quantitative Profiling of Long-Chain Bases by Mass Tagging and Parallel Reaction Monitoring Ejsing, Christer S. Bilgin, Mesut Fabregat, Andreu PLoS One Research Article Long-chain bases (LCBs) are both intermediates in sphingolipid metabolism and potent signaling molecules that control cellular processes. To understand how regulation of sphingolipid metabolism and levels of individual LCB species impinge upon physiological and pathophysiological processes requires sensitive and specific assays for monitoring these molecules. Here we describe a shotgun lipidomics method for quantitative profiling of LCB molecules. The method employs a “mass-tag” strategy where LCBs are chemically derivatized with deuterated methyliodide (CD(3)I) to produce trimethylated derivatives having a positively charged quaternary amine group. This chemical derivatization minimizes unwanted in-source fragmentation of LCB analytes and prompts a characteristic trimethylaminium fragment ion that enables sensitive and quantitative profiling of LCB molecules by parallel reaction monitoring on a hybrid quadrupole time-of-flight mass spectrometer. Notably, the strategy provides, for the first time, a routine for monitoring endogenous 3-ketosphinganine molecules and distinguishing them from more abundant isomeric sphingosine molecules. To demonstrate the efficacy of the methodology we report an in-depth characterization of the LCB composition of yeast mutants with defective sphingolipid metabolism and the absolute levels of LCBs in mammalian cells. The strategy is generic, applicable to other types of mass spectrometers and can readily be applied as an additional routine in workflows for global lipidome quantification and for functional studies of sphingolipid metabolism. Public Library of Science 2015-12-11 /pmc/articles/PMC4684364/ /pubmed/26660097 http://dx.doi.org/10.1371/journal.pone.0144817 Text en © 2015 Ejsing et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ejsing, Christer S.
Bilgin, Mesut
Fabregat, Andreu
Quantitative Profiling of Long-Chain Bases by Mass Tagging and Parallel Reaction Monitoring
title Quantitative Profiling of Long-Chain Bases by Mass Tagging and Parallel Reaction Monitoring
title_full Quantitative Profiling of Long-Chain Bases by Mass Tagging and Parallel Reaction Monitoring
title_fullStr Quantitative Profiling of Long-Chain Bases by Mass Tagging and Parallel Reaction Monitoring
title_full_unstemmed Quantitative Profiling of Long-Chain Bases by Mass Tagging and Parallel Reaction Monitoring
title_short Quantitative Profiling of Long-Chain Bases by Mass Tagging and Parallel Reaction Monitoring
title_sort quantitative profiling of long-chain bases by mass tagging and parallel reaction monitoring
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4684364/
https://www.ncbi.nlm.nih.gov/pubmed/26660097
http://dx.doi.org/10.1371/journal.pone.0144817
work_keys_str_mv AT ejsingchristers quantitativeprofilingoflongchainbasesbymasstaggingandparallelreactionmonitoring
AT bilginmesut quantitativeprofilingoflongchainbasesbymasstaggingandparallelreactionmonitoring
AT fabregatandreu quantitativeprofilingoflongchainbasesbymasstaggingandparallelreactionmonitoring