Literature DB >> 32997818

RECOGNITION AND AVOIDANCE OF ION SOURCE-GENERATED ARTIFACTS IN LIPIDOMICS ANALYSIS.

Changfeng Hu1, Wenqing Luo1, Jie Xu2, Xianlin Han3,4.   

Abstract

Lipid research is attracting more and more attention as various key roles and novel biological functions of lipids have been demonstrated and discovered in the organism. Mass spectrometry (MS)-based lipidomics approaches are the most powerful and effective tools for analysis of cellular lipidomes with very high sensitivity and specificity. However, the artifacts generated from in-source fragmentation are always present in all kinds of ion sources, even soft ionization techniques (i.e., electrospray ionization and matrix-assisted laser desorption/ionization [MALDI]). These artifacts can cause many problems for lipidomics, especially when the fragment ions correspond to/are isomeric species of other endogenous lipid species in complex biological samples. These commonly observed artifacts could lead to misannotation, false identification, and consequently, incorrect attribution of phenotypes, and will have negative impact on any MS-based lipidomics research including but not limited to biomarker discovery, drug development, etc. Liquid chromatography-MS, shotgun lipidomics, and MALDI-MS imaging are three representative lipidomics approaches in which ion source-generated artifacts are all manifested and are comprehensively summarized in this article. The strategies on how to avoid/reduce the artifacts of in-source fragmentation on lipidomics analysis are also discussed in detail. We believe that with the recognition and avoidance of ion source-generated artifacts, MS-based lipidomics approaches will provide better accuracy on comprehensive analysis of biological samples and will make greater contribution to the research on metabolism and translational/precision medicine (collectively termed functional lipidomics).
© 2020 John Wiley & Sons Ltd. Mass Spec Rev. © 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  MALDI-MSI; artifacts; functional lipidomics; in-source fragmentation; lipidomics; mass spectrometry

Mesh:

Substances:

Year:  2020        PMID: 32997818      PMCID: PMC8287896          DOI: 10.1002/mas.21659

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  94 in total

1.  Lipidomics joins the omics evolution.

Authors:  Edward A Dennis
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-11       Impact factor: 11.205

Review 2.  Signaling functions of phosphatidic acid.

Authors:  Xuemin Wang; Shivakumar Pattada Devaiah; Wenhua Zhang; Ruth Welti
Journal:  Prog Lipid Res       Date:  2006-03-15       Impact factor: 16.195

Review 3.  LDL cholesterol: controversies and future therapeutic directions.

Authors:  Paul M Ridker
Journal:  Lancet       Date:  2014-08-16       Impact factor: 79.321

4.  Rapid and selective identification of molecular species in phosphatidylcholine and sphingomyelin by conditional neutral loss scanning and MS3.

Authors:  Toshiaki Houjou; Kotoko Yamatani; Hiroki Nakanishi; Masayoshi Imagawa; Takao Shimizu; Ryo Taguchi
Journal:  Rapid Commun Mass Spectrom       Date:  2004       Impact factor: 2.419

Review 5.  Review of matrix-assisted laser desorption ionization-imaging mass spectrometry for lipid biochemical histopathology.

Authors:  Emine B Yalcin; Suzanne M de la Monte
Journal:  J Histochem Cytochem       Date:  2015-07-24       Impact factor: 2.479

Review 6.  Regulation of T cell signalling by membrane lipids.

Authors:  Wei Wu; Xiaoshan Shi; Chenqi Xu
Journal:  Nat Rev Immunol       Date:  2016-10-10       Impact factor: 53.106

7.  MALDI seamless postsource decay fragment ion analysis of sodiated and lithiated phospholipids.

Authors:  Gerald Stübiger; Ernst Pittenauer; Günter Allmaier
Journal:  Anal Chem       Date:  2008-01-30       Impact factor: 6.986

Review 8.  Role of Brown Fat in Lipoprotein Metabolism and Atherosclerosis.

Authors:  Geerte Hoeke; Sander Kooijman; Mariëtte R Boon; Patrick C N Rensen; Jimmy F P Berbée
Journal:  Circ Res       Date:  2016-01-08       Impact factor: 17.367

9.  MS-based lipidomics of human blood plasma: a community-initiated position paper to develop accepted guidelines.

Authors:  Bo Burla; Makoto Arita; Masanori Arita; Anne K Bendt; Amaury Cazenave-Gassiot; Edward A Dennis; Kim Ekroos; Xianlin Han; Kazutaka Ikeda; Gerhard Liebisch; Michelle K Lin; Tze Ping Loh; Peter J Meikle; Matej Orešič; Oswald Quehenberger; Andrej Shevchenko; Federico Torta; Michael J O Wakelam; Craig E Wheelock; Markus R Wenk
Journal:  J Lipid Res       Date:  2018-08-16       Impact factor: 5.922

10.  Top-down lipidomics reveals ether lipid deficiency in blood plasma of hypertensive patients.

Authors:  Juergen Graessler; Dominik Schwudke; Peter E H Schwarz; Ronny Herzog; Andrej Shevchenko; Stefan R Bornstein
Journal:  PLoS One       Date:  2009-07-15       Impact factor: 3.240

View more
  3 in total

1.  Lipidomics Revealed Aberrant Metabolism of Lipids Including FAHFAs in Renal Tissue in the Progression of Lupus Nephritis in a Murine Model.

Authors:  Changfeng Hu; Yu Du; Xiaofen Xu; Haichang Li; Qiao Duan; Zhijun Xie; Chengping Wen; Xianlin Han
Journal:  Metabolites       Date:  2021-02-27

2.  Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer Platform.

Authors:  Péter Pikó; László Pál; Sándor Szűcs; Zsigmond Kósa; János Sándor; Róza Ádány
Journal:  Biomolecules       Date:  2021-02-21

3.  A Novel Approach to Characterize the Lipidome of Marine Archaeon Nitrosopumilus maritimus by Ion Mobility Mass Spectrometry.

Authors:  Kai P Law; Wei He; Jianchang Tao; Chuanlun Zhang
Journal:  Front Microbiol       Date:  2021-12-02       Impact factor: 5.640

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.