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Lipidomics from sample preparation to data analysis: a primer.

Thomas Züllig1, Martin Trötzmüller1, Harald C Köfeler2

  • 1Core Facility Mass Spectrometry, Medical University of Graz, Stiftingtalstrasse 24, 8010, Graz, Austria.

Analytical and Bioanalytical Chemistry
|December 11, 2019
PubMed
Summary
This summary is machine-generated.

This review details mass spectrometry (MS)-based lipidomics workflows for analyzing lipid species. It covers sample preparation, data processing, and highlights advances and common pitfalls in lipidomics research.

Keywords:
ChromatographyLC-MSLipidomicsMass spectrometryShotgun lipidomics

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Area of Science:

  • Biochemistry and Molecular Biology
  • Analytical Chemistry

Background:

  • Lipids are essential organic molecules crucial for cellular structure, energy storage, and signaling.
  • Lipidomics, the large-scale study of lipids, relies heavily on mass spectrometry (MS) for identification and quantification.

Purpose of the Study:

  • To provide a comprehensive overview of mass spectrometry (MS)-based lipidomics workflows.
  • To discuss technical aspects, applications, recent advancements, and limitations in the field.
  • To emphasize data quality assurance, reporting, and common pitfalls in lipidomics.

Main Methods:

  • Overview of sample preparation techniques (e.g., liquid-liquid, solid-phase extraction).
  • Discussion of derivatization, chromatography, ion-mobility spectrometry, and MS.
  • Exploration of data processing using various software packages.

Main Results:

  • Detailed examination of critical steps in MS-based lipidomics.
  • Identification of recent technological advances and current limitations in the field.
  • Analysis of common challenges and strategies for data quality assurance and reporting.

Conclusions:

  • MS-based lipidomics is a powerful tool for comprehensive lipid analysis.
  • Understanding workflow nuances and addressing data quality are vital for reliable lipidomics research.
  • Continuous technological advancements are expanding the capabilities and applications of lipidomics.