Lipidomics enters the phase when analytical methods and bioinformatics tools supporting high-throughput lipid identification allow us to collect critical mass of data suitable for systems biology integration and meta-data analysis. Such modified lipids are known to be involved in the regulation of immune responses 10, 11, pro- and anti-inflammatory signaling 12, 13, regulation of cell death and survival 14, modulation of metabolic pathways 15, 16.Ĭurrent advances in understanding lipid metabolism and signaling are, at least in part, determined by the significant developments in mass spectrometry (MS) based lipidomics capable to provide an inventory of natural lipidomes for a variety of tissues, cells, and conditions at qualitative and even quantitative levels 17– 19. Epilipidome, a subset of natural lipidome formed by enzymatic and non-enzymatic lipid modifications, increase regulatory capacity in biological systems by fine tuning numerous lipid functions and activities via alterations of lipid’s physicochemical properties 9. hydroxylation, peroxidation, halogenation, nitration). Moreover, lipids subjected to a large number of modifications via introduction of small chemical groups (e.g. Both qualitative and quantitative changes in lipid compositions are associated with multiple disorders including cancer 3, 4, neurological disorders 5, 6, and metabolic syndrome 7, 8. The composition of natural lipidomes closely reflects the function of respective tissues and organs. Lipids are now recognized as important biomolecules with a variety of biological functions far beyond simple energy storage units 1, 2.

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