Systematic screening for novel lipids by shotgun lipidomics

Area of Science:

• Lipidomics
• Biochemistry
• Developmental Biology

Background:

• The LIPID MAPS classification recognizes eight major lipid categories and over 550 classes, with ongoing discovery of new lipid classes.
• Complex lipids share modular structural moieties (e.g., glycerol, fatty acids) and exhibit stereotyped MS/MS fragmentation patterns.

Purpose of the Study:

• To develop and apply a computational approach for systematically screening mass spectrometry data to discover novel lipid classes.
• To investigate lipid profiles in Caenorhabditis elegans larvae at dauer and L3 developmental stages.

Main Methods:

• Utilized LipidXplorer software for computational querying of shotgun mass spectra.
• Screened over 1.5 million putative chemical compositions from C. elegans lipid extracts.
• Leveraged conserved MS/MS fragmentation pathways to identify lipids with distant structural similarities to known classes.

Main Results:

• Identified a novel class of lipids, termed lyso-maradolipids.
• Found that lyso-maradolipids are specifically enriched in C. elegans dauer larvae compared to L3 larvae.
• The discovery approach successfully identified lipids beyond established classifications.

Conclusions:

• The computational screening method is effective for discovering novel lipid classes based on shared fragmentation patterns.
• Lyso-maradolipids represent a newly identified lipid class with potential roles in C. elegans dauer development.
• This work highlights the utility of integrating computational analysis with mass spectrometry for lipid discovery.