Literature DB >> 29540574

Quantitative structural multiclass lipidomics using differential mobility: electron impact excitation of ions from organics (EIEIO) mass spectrometry.

Takashi Baba1, J Larry Campbell2, J C Yves Le Blanc2, Paul R S Baker2, Kazutaka Ikeda3.   

Abstract

We report a method for comprehensive structural characterization of lipids in animal tissues using a combination of differential ion mobility spectrometry (DMS) with electron-impact excitation of ions from organics (EIEIO) mass spectrometry. Singly charged lipid ions in protonated or sodiated forms were dissociated by an electron beam having a kinetic energy of 10 eV in a branched radio-frequency ion trap. We established a comprehensive set of diagnostics to characterize the structures of glycerophospholipids, sphingolipids, and acylglycerols, including glycosylated, plasmalogen, and ester forms. This EIEIO mass spectrometer was combined with DMS as a separation tool to analyze complex lipid extracts. Deuterated quantitative standards, which were added during extraction, allowed for the quantitative analysis of the lipid molecular species in various lipid classes. We applied this technique to the total lipids extracted from porcine brain, and we structurally characterized over 300 lipids (with the exception of cis/trans double-bond isomerism in the acyl chains). The structural dataset of the lipidomes, whose regioisomers were distinguished, exhibit a uniquely defined distribution of acyl chains within each lipid class; that is, sn-1 and sn-2 in the cases of glycerophospholipids or sn-2 and (sn-1, sn-3) in the cases of triacylglycerols.
Copyright © 2018 Baba et al.

Entities:  

Keywords:  brain extract; complex lipids; electron induced dissociation

Mesh:

Substances:

Year:  2018        PMID: 29540574      PMCID: PMC5928438          DOI: 10.1194/jlr.D083261

Source DB:  PubMed          Journal:  J Lipid Res        ISSN: 0022-2275            Impact factor:   5.922


  26 in total

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3.  Analytical separations for lipids in complex, nonpolar lipidomes using differential mobility spectrometry.

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