LION/web: a web-based ontology enrichment tool for lipidomic data analysis.

Gigascience

Department of Biochemistry and Cell Biology, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 2, 3584 CM, Utrecht, The Netherlands.

Published: June 2019

AI Article Synopsis

  • A new lipid ontology called LION has been developed to categorize over 50,000 lipid species based on their biological properties, aiding in lipidomic analyses.
  • LION/web, an accessible online interface, allows users to identify lipid-associated terms in lipidomes and was validated through studies on macrophage sub-cellular fractions and Chinese hamster ovary cells.
  • The successful validations indicate that LION/web is a functional and user-friendly tool for understanding lipid involvement in biological systems.

Article Abstract

Background: A major challenge for lipidomic analyses is the handling of the large amounts of data and the translation of results to interpret the involvement of lipids in biological systems.

Results: We built a new lipid ontology (LION) that associates >50,000 lipid species to biophysical, chemical, and cell biological features. By making use of enrichment algorithms, we used LION to develop a web-based interface (LION/web, www.lipidontology.com) that allows identification of lipid-associated terms in lipidomes. LION/web was validated by analyzing a lipidomic dataset derived from well-characterized sub-cellular fractions of RAW 264.7 macrophages. Comparison of isolated plasma membranes with the microsomal fraction showed a significant enrichment of relevant LION-terms including "plasma membrane", "headgroup with negative charge", "glycerophosphoserines", "above average bilayer thickness", and "below average lateral diffusion". A second validation was performed by analyzing the membrane fluidity of Chinese hamster ovary cells incubated with arachidonic acid. An increase in membrane fluidity was observed both experimentally by using pyrene decanoic acid and by using LION/web, showing significant enrichment of terms associated with high membrane fluidity ("above average", "very high", and "high lateral diffusion" and "below average transition temperature").

Conclusions: The results demonstrate the functionality of LION/web, which is freely accessible in a platform-independent way.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6541037PMC
http://dx.doi.org/10.1093/gigascience/giz061DOI Listing

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