Our team combines biochemical knowledge on lipid metabolism with high-end lipidomics technologies. We hold a strong background in the analytical method development with a specific focus on liquid chromatography (LC) and mass spectrometry (MS) analysis of lipids in a variety of biological matrices. Over the last years LMAI team established several high-throughput LC-MS workflows based on the application of different LC types (reversed phase (RP) and hydrophilic interaction liquid chromatography (HILIC)) coupled on-line to MS detection for identification and quantification of lipids.

We have especially focused on setting up robust and high-throughput methods for in-depth annotation and quantification of lipids in human tissues – e.g. white adipose tissue ( Lange et al. Cell Rep Med. 2021), aortic valve ( Prabutzki P, Wölk M, et al. Nat Commun. 2025) and blood plasma samples which we now can apply to larger cohort studies focused on defining lipid fingerprints associated with metabolic diseases.

We combined our knowledge and expertise in deep lipotyping of complex lipidomes in a form of “Recommendations for Accurate Lipid Annotation and Semi-absolute Quantification from LC-MS/MS Datasets” ( Wölk M, Fedorova M. Methods Mol Biol. 2025) to share with you main steps for accurate lipid annotation, design of tissue-tailored internal standards mixtures, quality controls, and batch processing of cohort samples.

We believe in open science and provide all our datasets to the community! You can find more information about publicly available raw and metadata resulted from our studies at  Resources page.