Lipidomics_white_and_brown_adipose_tissue_lean_obese_mice

Shotgun lipidomics enables the detection of lipids from theoretically all kinds of substrate, provided that extraction and processing procedures are adapted, to ensure good coverage and reproducible quantification of the lipidome. The quantification of lipids from Adipose tissue (AT) is particularly challenging due to the predominance of triacylglycerides, which elicit high ion suppression of the remaining lipid classes. We generated this data by applying a new and validated method for shotgun lipidomics of AT, which tailors the lipid extraction procedure to the target specimen. In particular, we analysed three AT types (brown - BAT; gonadal - GAT; inguinal subcutaneous - SAT) from 10 lean (chow diet - CD) and 10 obese (high fat diet - HFD) mice. We observed tissue-specific and diet-related differences, with Brown AT exhibiting a distinct lipidomic profile with the greatest lipid class diversity and responding to high-fat diet by altering its lipid composition, so that it becomes more similar to that of white AT. Moreover, diet-induced obesity promoted an overall remodelling of the lipidome, where all three AT types featured a significant increase in longer and more unsaturated triacylglyceride and phospholipid species. By presenting our method we intend to facilitate reproducible systematic lipidomic profiling of AT. The data generated within this project is intended as a proof of concept that the method works and gives results that are compatible with what was found in other papers. In addition, we provide a first explorative analysis of the effects of overnutrition on the AT lipidome