Lipidomics helps researchers cover aspects from fundamental processes to applications to disease development and treatment.

Knowledge about statistical and data analysis methods tailored for lipid data is key to successful lipidomics studies.

Cardiovascular diseases are linked to changes in lipid metabolism. Lipidomics helps assess cardiovascular disease risk.

Skin health and disease is closely related to lipid composition and function in different skin structures.

Failure of regeneration capacity limits the restoration of nervous system functionality in demyelinating diseases.

The plasma membrane is the interface between a cell and its environment. Its processing tasks must be tightly regulated.

Dysmetabolism is rapidly spreading worldwide, giving rise to obesity and other diseases. Yet, there is no diagnostic test.

Direct analysis of tissue biopsies could be in a better position to elucidate pathophysiological mechanisms than liquid biopsies.

Yeast is a powerful model system for cell and molecular biology research. What should be considered when conducting yeast lipidomics?

The amount and complexity of lipidomics data sets can be intimidating initially – but this does not need to be the case.

Cohort studies frequently rely on omics technologies but benefit only if the data are of high quality and reproducible.

The detailed mouse lipidomics atlas facilitates experimental design and interpretation in mouse studies.