Literature DB >> 25160652

Differential mobility spectrometry-driven shotgun lipidomics.

Tuulia P I Lintonen1, Paul R S Baker, Matti Suoniemi, Baljit K Ubhi, Kaisa M Koistinen, Eva Duchoslav, J Larry Campbell, Kim Ekroos.   

Abstract

The analysis of lipids by mass spectrometry (MS) can provide in-depth characterization for many forms of biological samples. However, such workflows can also be hampered by challenges like low chromatographic resolution for lipid separations and the convolution of mass spectra from isomeric and isobaric species. To address these issues, we describe the use of differential mobility spectrometry (DMS) as a rapid and predictable separation technique within a shotgun lipidomics workflow, with a special focus on phospholipids (PLs). These analytes, ionized by electrospray ionization (ESI), are filtered using DMS prior to MS analysis. The observed separation (measured in terms of DMS compensation voltage) is affected by several factors, including the m/z of the lipid ion, the structure of an individual ion, and the presence of chemical modifiers in the DMS cell. Such DMS separations can simplify the analysis of complex extracts in a robust and reproducible manner, independent of utilized MS instrumentation. The predictable separation achieved with DMS can facilitate correct lipid assignments among many isobaric and isomeric species independent of the resolution settings of the MS analysis. This leads to highly comprehensive and quantitative lipidomic outputs through rapid profiling analyses, such as Q1 and MRM scans. The ultimate benefit of the DMS separation in this unique shotgun lipidomics workflow is its ability to separate many isobaric and isomeric lipids that by standard shotgun lipidomics workflows are difficult to assess precisely, for example, ether and diacyl species and phosphatidylcholine (PC) and sphingomyelin (SM) lipids.

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Year:  2014        PMID: 25160652     DOI: 10.1021/ac5021744

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  49 in total

1.  Expanding Lipidome Coverage Using LC-MS/MS Data-Dependent Acquisition with Automated Exclusion List Generation.

Authors:  Jeremy P Koelmel; Nicholas M Kroeger; Emily L Gill; Candice Z Ulmer; John A Bowden; Rainey E Patterson; Richard A Yost; Timothy J Garrett
Journal:  J Am Soc Mass Spectrom       Date:  2017-03-06       Impact factor: 3.109

2.  Training in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data.

Authors:  Stephen Barnes; H Paul Benton; Krista Casazza; Sara J Cooper; Xiangqin Cui; Xiuxia Du; Jeffrey Engler; Janusz H Kabarowski; Shuzhao Li; Wimal Pathmasiri; Jeevan K Prasain; Matthew B Renfrow; Hemant K Tiwari
Journal:  J Mass Spectrom       Date:  2016-07       Impact factor: 1.982

3.  Differential mobility spectrometry: a valuable technology for analyzing challenging biological samples.

Authors:  J Larry Campbell; J C Yves Le Blanc; Richard G Kibbey
Journal:  Bioanalysis       Date:  2015       Impact factor: 2.681

4.  LipidomeDB Data Calculation Environment Has Been Updated to Process Direct-Infusion Multiple Reaction Monitoring Data.

Authors:  Carl Fruehan; David Johnson; Ruth Welti
Journal:  Lipids       Date:  2018-12-21       Impact factor: 1.880

Review 5.  Oxidative lipidomics coming of age: advances in analysis of oxidized phospholipids in physiology and pathology.

Authors:  Corinne M Spickett; Andrew R Pitt
Journal:  Antioxid Redox Signal       Date:  2015-03-26       Impact factor: 8.401

6.  A Robust Lipidomics Workflow for Mammalian Cells, Plasma, and Tissue Using Liquid-Chromatography High-Resolution Tandem Mass Spectrometry.

Authors:  Candice Z Ulmer; Rainey E Patterson; Jeremy P Koelmel; Timothy J Garrett; Richard A Yost
Journal:  Methods Mol Biol       Date:  2017

7.  Analyzing Glycopeptide Isomers by Combining Differential Mobility Spectrometry with Electron- and Collision-Based Tandem Mass Spectrometry.

Authors:  J Larry Campbell; Takashi Baba; Chang Liu; Catherine S Lane; J C Yves Le Blanc; James W Hager
Journal:  J Am Soc Mass Spectrom       Date:  2017-04-21       Impact factor: 3.109

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

Authors:  Takashi Baba; J Larry Campbell; J C Yves Le Blanc; Paul R S Baker; Kazutaka Ikeda
Journal:  J Lipid Res       Date:  2018-03-14       Impact factor: 5.922

Review 9.  Lipidomics: Techniques, Applications, and Outcomes Related to Biomedical Sciences.

Authors:  Kui Yang; Xianlin Han
Journal:  Trends Biochem Sci       Date:  2016-09-20       Impact factor: 13.807

10.  Structural identification of triacylglycerol isomers using electron impact excitation of ions from organics (EIEIO).

Authors:  Takashi Baba; J Larry Campbell; J C Yves Le Blanc; Paul R S Baker
Journal:  J Lipid Res       Date:  2016-07-25       Impact factor: 5.922

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