The SwissLipids knowledgebase for lipid biology

Area of Science:

• Biochemistry
• Bioinformatics
• Systems Biology

Background:

• Lipids are crucial biological molecules involved in cellular structure, energy storage, and signaling.
• Cellular lipidomes are highly complex, with tens of thousands of structures, posing challenges for comprehensive analysis.
• Interpreting lipidomic data and integrating it with existing biological knowledge requires specialized tools.

Purpose of the Study:

• To develop a comprehensive knowledge resource for lipids and their associated biology.
• To create a standardized system for describing and exploring lipidomic data.
• To facilitate the integration of lipidomic data with prior biological knowledge and support hypothesis generation.

Main Methods:

• Development of SwissLipids, a curated knowledge resource for lipid structures and metabolism.
• Generation of an in silico library of feasible lipid structures based on curated knowledge.
• Hierarchical classification linking mass spectrometry outputs to lipid structures, reactions, and enzymes.

Main Results:

• SwissLipids offers curated knowledge on over 244,000 lipid structures and 800 proteins.
• The resource links analytical outputs to lipid structures, metabolic pathways, and enzymes.
• It provides a reference namespace for lipidomic data publication and exploration.

Conclusions:

• SwissLipids facilitates the description and exploration of complex lipidomic data.
• The resource aids in integrating lipidomic findings with existing biological knowledge.
• SwissLipids serves as a valuable tool for hypothesis generation in lipid biology.