Cross-Validation of Lipid Structure Assignment Using Orthogonal Ion Activation Modalities on the Same Mass
Samuel C Brydon1, Berwyck L J Poad1,2, Mengxuan Fang3
1School of Chemistry and Physics, Queensland University of Technology, Brisbane, QLD 4001, Australia.
Journal of the American Society for Mass Spectrometry
|July 22, 2024
Summary
New mass spectrometry methods, ozone-induced dissociation (OzID) and ultraviolet photodissociation (UVPD), accurately map double bond positions in cancer cell membrane lipids. This advances lipidomics for understanding cancer progression.
Area of Science:
- Lipidomics and Mass Spectrometry
- Cancer Biology and Molecular Mechanisms
Background:
- Cancer progression involves alterations in cellular lipidome composition.
- Accurate structural characterization of lipids is crucial for understanding cancer mechanisms.
- Determining double bond positions in membrane lipid fatty acyl chains is analytically challenging.
Purpose of the Study:
- To evaluate ozone-induced dissociation (OzID) and ultraviolet photodissociation (UVPD) for lipid structural characterization.
- To compare the performance of OzID and UVPD for identifying lipid isomers.
- To investigate fragmentation pathways of OzID and UVPD for lipid analysis.
Main Methods:
- Acquisition of OzID and UVPD mass spectra on the same mass spectrometer.
- Analysis of lipid standards to expand fragmentation rules for OzID and UVPD.
- Application of both techniques to unsaturated phosphatidylcholines from colorectal cancer cell lines.
Main Results:
- OzID and UVPD provide complementary fragmentation data for lipid identification.
- Expanded fragmentation rules enhance confidence in assigning double bond positions and resolving regioisomers.
- High confidence in assigning multiple double bond isomers in cancer cell lipids and cross-validation of abundance changes.
Conclusions:
- OzID and UVPD are powerful, complementary techniques for detailed lipid structural analysis.
- These methods enable accurate assignment of double bond positions, crucial for cancer lipidomics.
- The study provides a robust framework for investigating lipid alterations in cancer.
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