The Use of LipidIMMS Analyzer for Lipid Identification in Ion Mobility-Mass Spectrometry-Based Untargeted Lipidomics

Xi Chen; Zhiwei Zhou; Zheng-Jiang Zhu

doi:10.1007/978-1-0716-0030-6_17

The Use of LipidIMMS Analyzer for Lipid Identification in Ion Mobility-Mass Spectrometry-Based Untargeted Lipidomics

Methods Mol Biol. 2020:2084:269-282. doi: 10.1007/978-1-0716-0030-6_17.

Authors

Xi Chen^{1

2}, Zhiwei Zhou^{1

2}, Zheng-Jiang Zhu³

Affiliations

¹ Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
² University of Chinese Academy of Sciences, Beijing, China.
³ Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China. jiangzhu@sioc.ac.cn.

PMID: 31729667
DOI: 10.1007/978-1-0716-0030-6_17

Abstract

Untargeted lipidomics aims to comprehensively measure and characterize all lipid species in biological systems. Ion mobility-mass spectrometry (IM-MS) has showed a great potential for untargeted lipidomic analysis. Coupling with liquid chromatography and data-independent tandem MS techniques, acquired IM-MS data set contains four-dimensional information for lipid identification, including m/z of MS1 ion, retention time (RT), collision cross section (CCS), and MS/MS spectra. In this protocol, we introduced a data processing workflow using an integrative web server, namely, LipidIMMS Analyzer, to support accurate lipid identification. The protocol demonstrated the integration of all four dimensional information to achieve unambiguous identifications of lipids in complex biological samples.

Keywords: Collision cross section; Ion mobility-mass spectrometry; Lipid identification; LipidIMMS Analyzer; Untargeted lipidomics.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Data Analysis
Databases, Factual
Ion Mobility Spectrometry*
Lipidomics* / methods
Lipids / analysis*
Software
Web Browser

Substances

Lipids