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Shotgun Lipidomics of Rodent Tissues
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Differential mobility spectrometry-driven shotgun lipidomics.

Tuulia P I Lintonen1, Paul R S Baker, Matti Suoniemi

  • 1Zora Biosciences Oy , Biologinkuja 1, Espoo, FI-02150, Finland.

Analytical Chemistry
|August 28, 2014
PubMed
Summary

Differential mobility spectrometry (DMS) enhances shotgun lipidomics by rapidly separating complex lipid mixtures. This improves the identification of phospholipids (PLs), even isobaric and isomeric species, for more comprehensive analysis.

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Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Mass Spectrometry

Background:

  • Lipidomics analysis using mass spectrometry (MS) faces challenges with low chromatographic resolution and overlapping spectra from similar lipid species.
  • Shotgun lipidomics workflows require advanced techniques to accurately characterize complex biological lipid profiles.

Purpose of the Study:

  • To introduce and evaluate differential mobility spectrometry (DMS) as a novel separation technique for shotgun lipidomics.
  • To demonstrate DMS's capability in resolving isomeric and isobaric lipid species, particularly phospholipids (PLs).

Main Methods:

  • Integrating differential mobility spectrometry (DMS) into a shotgun lipidomics workflow for electrospray ionization (ESI) of lipids.
  • Utilizing DMS compensation voltage to separate lipid ions based on their m/z, structure, and chemical modifiers.
  • Performing rapid profiling analyses such as Q1 and Multiple Reaction Monitoring (MRM) scans post-DMS separation.

Main Results:

  • DMS provides a rapid and predictable separation of lipids, independent of MS instrumentation.
  • The technique effectively simplifies complex lipid extracts, enhancing robustness and reproducibility.
  • DMS successfully distinguishes isobaric and isomeric lipids, including ether vs. diacyl and phosphatidylcholine (PC) vs. sphingomyelin (SM) species, which are difficult to resolve by standard methods.

Conclusions:

  • Differential mobility spectrometry (DMS) significantly improves the resolution and accuracy of shotgun lipidomics.
  • This method enables more comprehensive and quantitative lipidomic profiling by resolving challenging lipid isomers.
  • DMS integration offers a powerful tool for detailed lipid analysis in biological samples.