Literature DB >> 16408944

Lipid profiling by multiple precursor and neutral loss scanning driven by the data-dependent acquisition.

Dominik Schwudke1, Jeffrey Oegema, Lyle Burton, Eugeni Entchev, J Thomas Hannich, Christer S Ejsing, Teymuras Kurzchalia, Andrej Shevchenko.   

Abstract

Data-dependent acquisition of MS/MS spectra from lipid precursors enables to emulate the simultaneous acquisition of an unlimited number of precursor and neutral loss scans in a single analysis. This approach takes full advantage of rich fragment patterns in tandem mass spectra of lipids and enables their profiling by complex (Boolean) scans, in which masses of several fragment ions are considered within a single logical framework. No separation of lipids is required, and the accuracy of identification and quantification is not compromised, compared to conventional precursor and neutral loss scanning.

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Year:  2006        PMID: 16408944     DOI: 10.1021/ac051605m

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


  83 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.  Advanced Shotgun Lipidomics for Characterization of Altered Lipid Patterns in Neurodegenerative Diseases and Brain Injury.

Authors:  Miao Wang; Xianlin Han
Journal:  Methods Mol Biol       Date:  2016

3.  Improved method for quantitative analysis of methylated phosphatidylethanolamine species and its application for analysis of diabetic-mouse liver samples.

Authors:  Miao Wang; Geun Hyang Kim; Fang Wei; Hong Chen; Judith Altarejos; Xianlin Han
Journal:  Anal Bioanal Chem       Date:  2015-03-01       Impact factor: 4.142

4.  Analytical challenges of shotgun lipidomics at different resolution of measurements.

Authors:  Jianing Wang; Xianlin Han
Journal:  Trends Analyt Chem       Date:  2019-10-17       Impact factor: 12.296

Review 5.  Common cases of improper lipid annotation using high-resolution tandem mass spectrometry data and corresponding limitations in biological interpretation.

Authors:  Jeremy P Koelmel; Candice Z Ulmer; Christina M Jones; Richard A Yost; John A Bowden
Journal:  Biochim Biophys Acta Mol Cell Biol Lipids       Date:  2017-03-02       Impact factor: 4.698

Review 6.  Modern instrumental methods in forensic toxicology.

Authors:  Michael L Smith; Shawn P Vorce; Justin M Holler; Eric Shimomura; Joe Magluilo; Aaron J Jacobs; Marilyn A Huestis
Journal:  J Anal Toxicol       Date:  2007-06       Impact factor: 3.367

Review 7.  Sphingolipidomics: methods for the comprehensive analysis of sphingolipids.

Authors:  Christopher A Haynes; Jeremy C Allegood; Hyejung Park; M Cameron Sullards
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2008-12-31       Impact factor: 3.205

8.  Automated lipid A structure assignment from hierarchical tandem mass spectrometry data.

Authors:  Ying S Ting; Scott A Shaffer; Jace W Jones; Wailap V Ng; Robert K Ernst; David R Goodlett
Journal:  J Am Soc Mass Spectrom       Date:  2011-03-05       Impact factor: 3.109

9.  Membrane lipidome of an epithelial cell line.

Authors:  Julio L Sampaio; Mathias J Gerl; Christian Klose; Christer S Ejsing; Hartmut Beug; Kai Simons; Andrej Shevchenko
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-18       Impact factor: 11.205

10.  Lipid extraction by methyl-tert-butyl ether for high-throughput lipidomics.

Authors:  Vitali Matyash; Gerhard Liebisch; Teymuras V Kurzchalia; Andrej Shevchenko; Dominik Schwudke
Journal:  J Lipid Res       Date:  2008-02-16       Impact factor: 5.922

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