Literature DB >> 23411146

Development of a lipid profiling system using reverse-phase liquid chromatography coupled to high-resolution mass spectrometry with rapid polarity switching and an automated lipid identification software.

Takayuki Yamada1, Takato Uchikata, Shigeru Sakamoto, Yasuto Yokoi, Eiichiro Fukusaki, Takeshi Bamba.   

Abstract

Lipidomics requires accurate lipid profiling, which until recently has been challenging at best. In the present study, we developed a practical workflow for high-throughput and exhaustive lipid profiling by combining reverse-phase liquid chromatography coupled to quadrupole orbitrap Fourier transform mass spectrometry, with an automated lipid identification software. This validated method enables highly sensitive and simultaneous analysis of lipids with varying polarities such as glycerophospholipids and sphingophospholipids, by switching the acquisition polarities in mass spectrometry. In addition, it facilitates data-dependent MS(2) analysis targeting the lipid molecular species without any influence from other ions by setting the inclusion list, the target m/z list for the product ion scanning. The m/z values of the target lipid molecular species, stored in the database of Lipid Search software, are added to the inclusion list. Moreover, optimizing the identification conditions of the software for the LC/MS system enables high-throughput and accurate identification of lipid molecular species existing in biological samples. Specifically, LC separation is essential for accurate identification of lipid molecular species that possess some fatty acid chains, because it can be difficult to determine fatty acid chain composition of detected molecular species especially in triacylglycerol compounds in direct infusion mass spectrometry. This method has high reproducibility and can be used for structural analysis even for low-abundance compounds. Using this method, over 400 lipid compounds targeted in this research were detected and identified from a sample of mouse plasma. This result indicates that the LC/MS method in the present study enables efficient lipid profiling.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23411146     DOI: 10.1016/j.chroma.2013.01.078

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  39 in total

1.  Global analysis of osteosarcoma lipidomes reveal altered lipid profiles in metastatic versus nonmetastatic cells.

Authors:  Jahnabi Roy; Payam Dibaeinia; Timothy M Fan; Saurabh Sinha; Aditi Das
Journal:  J Lipid Res       Date:  2018-11-30       Impact factor: 5.922

2.  MITO-Tag Mice enable rapid isolation and multimodal profiling of mitochondria from specific cell types in vivo.

Authors:  Erol C Bayraktar; Lou Baudrier; Ceren Özerdem; Caroline A Lewis; Sze Ham Chan; Tenzin Kunchok; Monther Abu-Remaileh; Andrew L Cangelosi; David M Sabatini; Kıvanç Birsoy; Walter W Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-12       Impact factor: 11.205

3.  Dual Polarity Ion Confinement and Mobility Separations.

Authors:  Isaac K Attah; Sandilya V B Garimella; Ian K Webb; Gabe Nagy; Randolph V Norheim; Colby E Schimelfenig; Yehia M Ibrahim; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2019-03-04       Impact factor: 3.109

4.  Accelerating Lipidomic Method Development through in Silico Simulation.

Authors:  Paul D Hutchins; Jason D Russell; Joshua J Coon
Journal:  Anal Chem       Date:  2019-07-25       Impact factor: 6.986

5.  Comprehensive untargeted lipidomic analysis using core-shell C30 particle column and high field orbitrap mass spectrometer.

Authors:  Mónica Narváez-Rivas; Qibin Zhang
Journal:  J Chromatogr A       Date:  2016-02-22       Impact factor: 4.759

6.  CHP1 Regulates Compartmentalized Glycerolipid Synthesis by Activating GPAT4.

Authors:  Xiphias Ge Zhu; Shirony Nicholson Puthenveedu; Yihui Shen; Konnor La; Can Ozlu; Tim Wang; Diana Klompstra; Yetis Gultekin; Jingyi Chi; Justine Fidelin; Tao Peng; Henrik Molina; Howard C Hang; Wei Min; Kıvanç Birsoy
Journal:  Mol Cell       Date:  2019-03-04       Impact factor: 17.970

7.  Probing the Global Cellular Responses to Lipotoxicity Caused by Saturated Fatty Acids.

Authors:  Manuele Piccolis; Laura M Bond; Martin Kampmann; Pamela Pulimeno; Chandramohan Chitraju; Christina B K Jayson; Laura P Vaites; Sebastian Boland; Zon Weng Lai; Katlyn R Gabriel; Shane D Elliott; Joao A Paulo; J Wade Harper; Jonathan S Weissman; Tobias C Walther; Robert V Farese
Journal:  Mol Cell       Date:  2019-03-04       Impact factor: 17.970

8.  Inhibition of sphingolipid synthesis improves outcomes and survival in GARP mutant wobbler mice, a model of motor neuron degeneration.

Authors:  Constance S Petit; Jane J Lee; Sebastian Boland; Sharan Swarup; Romain Christiano; Zon Weng Lai; Niklas Mejhert; Shane D Elliott; David McFall; Sara Haque; Eric J Huang; Roderick T Bronson; J Wade Harper; Robert V Farese; Tobias C Walther
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-28       Impact factor: 11.205

9.  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

10.  Widely-targeted quantitative lipidomics method by supercritical fluid chromatography triple quadrupole mass spectrometry.

Authors:  Hiroaki Takeda; Yoshihiro Izumi; Masatomo Takahashi; Thanai Paxton; Shohei Tamura; Tomonari Koike; Ying Yu; Noriko Kato; Katsutoshi Nagase; Masashi Shiomi; Takeshi Bamba
Journal:  J Lipid Res       Date:  2018-05-03       Impact factor: 5.922

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