Modern lipidomics provide access to hundreds of lipid species routinely identified in various biological matrixes. Considering high translational potential of lipidomics phenotyping for biomedical and clinical studies, we often look at the relative differences between healthy and disease conditions skipping in-depth description of the lipidome in question. However, lipid cooperative actions are highly tissue and even cell type specific in terms of coordinated signalling, plasticity of cellular membranes, energy storage and its redistribution. Thus, to provide mechanistic understanding of tissue lipidome organization and its response to various stimuli and stressor, qualitative and quantitative inventory of tissue lipid collectives are required. Furthermore, capturing alterations in lipid metabolism might be as important as identifying static lipid signatures resistant to certain (patho)physiological stimuli. Recently, we reconstructed the reference lipidome of human white adipose tissue (AdipoAtlas) covering over 1600 lipid species of which more than 700 were accurately quantified. Availability of quantitative data allowed to pinpoint obesity specific alterations in sphingo-, ether- and neutral lipids metabolism. Thus, AdipoAtlas is one of the first human reference lipidomes which provides molecular inventory of tissue specific lipids to support mechanistic understanding of WAT biology and its pathophysiology in obesity and associated insulin resistance.