Literature DB >> 21157865

Lyso-form fragment ions facilitate the determination of stereospecificity of diacyl glycerophospholipids.

Weimin Hou1, Hu Zhou, Maroun Bou Khalil, Deeptee Seebun, Steffany A L Bennett, Daniel Figeys.   

Abstract

In this work we report the development of a novel methodology for the determination of stereospecificity of diacyl glycerophospholipids, including glycerophosphatidic acids (PA), glycerophosphoserines (PS), glycerophosphoglycerols (PG), glycerophosphoinositols (PI), and glycerophosphoethanolamines (PE), which can be conventionally ionized in negative ion mode. This methodology uses MS(2) recorded on a hybrid quadrupole time-of-flight mass spectrometer to determine the stereospecificity of diacyl glycerophospholipids based on the lyso-form fragment ions, attributed to the neutral loss of fatty acyl moieties. The fragmentation patterns of a variety of diacyl glycerophospholipid standards were first fully examined over a wide range of collision energy. We observed that lyso-form fragment ions corresponding to the neutral loss of fatty acyl moieties attached to the sn2 position as free fatty acids ([M-Sn2](-) ) and as ketenes ([M-(Sn2-H(2) O)](-) ) exhibited consistently higher intensity than their counterpart ions due to the neutral loss of fatty acyl moieties attached to the sn1 position ([M-Sn1](-) and [M-(Sn1-H(2) O)](-) ). Therefore, we concluded that an empirical fragmentation rule can be used to precisely determine the stereospecificity of diacyl glycerophospholipids, primarily on the basis of relative abundance of the lyso-form fragment ions. We then examined the product ion spectra of diacyl glycerophospholipids recorded from lipid extracts of rat hepatoma cells, where the stereospecific information of these lipids was conclusively determined. Combining the novel methodology reported in this work with the currently widely practiced mass spectrometric techniques such as multiple precursor ion scans (MPIS), fatty acyl scans (FAS), and multidimensional mass spectrometry based shotgun lipidomics (MDMS-SL), should enable a reliable and convenient platform for comprehensive glycerophospholipid profiling.
Copyright © 2010 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21157865     DOI: 10.1002/rcm.4846

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  12 in total

1.  Time to face the fats: what can mass spectrometry reveal about the structure of lipids and their interactions with proteins?

Authors:  Simon H J Brown; Todd W Mitchell; Aaron J Oakley; Huong T Pham; Stephen J Blanksby
Journal:  J Am Soc Mass Spectrom       Date:  2012-06-06       Impact factor: 3.109

2.  Spatial Mapping and Profiling of Metabolite Distributions during Germination.

Authors:  Adam D Feenstra; Liza E Alexander; Zhihong Song; Andrew R Korte; Marna D Yandeau-Nelson; Basil J Nikolau; Young Jin Lee
Journal:  Plant Physiol       Date:  2017-06-20       Impact factor: 8.340

3.  Molecular species of phospholipids with very long chain fatty acids in skin fibroblasts of Zellweger syndrome.

Authors:  Kotaro Hama; Toru Nagai; Chiho Nishizawa; Kazutaka Ikeda; Masashi Morita; Noriko Satoh; Hiroki Nakanishi; Tsuneo Imanaka; Nobuyuki Shimozawa; Ryo Taguchi; Keizo Inoue; Kazuaki Yokoyama
Journal:  Lipids       Date:  2013-12       Impact factor: 1.880

4.  A relative quantitative positive/negative ion switching method for untargeted lipidomics via high resolution LC-MS/MS from any biological source.

Authors:  Susanne B Breitkopf; Stéphane J H Ricoult; Min Yuan; Ying Xu; David A Peake; Brendan D Manning; John M Asara
Journal:  Metabolomics       Date:  2017-02-07       Impact factor: 4.290

5.  Characterization of acyl chain position in unsaturated phosphatidylcholines using differential mobility-mass spectrometry.

Authors:  Alan T Maccarone; Jackson Duldig; Todd W Mitchell; Stephen J Blanksby; Eva Duchoslav; J Larry Campbell
Journal:  J Lipid Res       Date:  2014-06-17       Impact factor: 5.922

6.  Structural-based connectivity and omic phenotype evaluations (SCOPE): a cheminformatics toolbox for investigating lipidomic changes in complex systems.

Authors:  Melanie T Odenkirk; Phyo Phyo K Zin; Jeremy R Ash; David M Reif; Denis Fourches; Erin S Baker
Journal:  Analyst       Date:  2020-11-09       Impact factor: 4.616

7.  Predicting glycerophosphoinositol identities in lipidomic datasets using VaLID (Visualization and Phospholipid Identification)--an online bioinformatic search engine.

Authors:  Graeme S V McDowell; Alexandre P Blanchard; Graeme P Taylor; Daniel Figeys; Stephen Fai; Steffany A L Bennett
Journal:  Biomed Res Int       Date:  2014-02-20       Impact factor: 3.411

Review 8.  Mass Spectrometry-based Lipidomics and Its Application to Biomedical Research.

Authors:  Zhexue Wu; Jong Cheol Shon; Kwang-Hyeon Liu
Journal:  J Lifestyle Med       Date:  2014-03-31

9.  A rapid ambient ionization-mass spectrometry approach to monitoring the relative abundance of isomeric glycerophospholipids.

Authors:  Rachel L Kozlowski; Todd W Mitchell; Stephen J Blanksby
Journal:  Sci Rep       Date:  2015-04-02       Impact factor: 4.379

10.  Dynamics of the ethanolamine glycerophospholipid remodeling network.

Authors:  Lu Zhang; Norberto Díaz-Díaz; Kourosh Zarringhalam; Martin Hermansson; Pentti Somerharju; Jeffrey Chuang
Journal:  PLoS One       Date:  2012-12-10       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.