Mass spectrometry (MS) analysis of lipids is at the core of lipidomics research, which consists of obtaining a lipid profile (or lipidome) accompanied by the translation of the results into biological meaning. The lipidome requires relative and/or absolute quantitation of lipid levels of a "before" sample and an "after" sample, and then compares the data sets to see what has changed. Comparisons of hundreds of lipid molecular species is challenging and the lipidomics research facility uses bioinformatics and statistical tools to find those important significant differences in large data sets.
Semi-quantitative acquisition of lipid profiles from diverse types of mammalian cells, tissues, C. elegans, yeast, immune-precipitated protein complexes, mitochondria, Drosophila melanogaster, parental, and cancer stem cells have been obtained through collaboration agreements. We also aim to interrogate the lipidome in a variety of species, please don't hesitate to contact us. Current methodology (chromatography coupled with mass spectrometry) allows for the identification of 35 lipid subclasses, as dictated in the classification/nomenclature proposed by the LIPID MAPS® Lipidomics gateway consortium. We aim to investigate other lipid subclasses/metabolites of biological significance. Please contact us to discuss your project and start a collaboration.
Our team offers a multidisciplinary platform for the interpretation of lipid changes in biological systems. The Lipidomics Facility research scientists specialise in the translation of lipid profiles into biosynthetic metabolic pathways. The team have extensive expertise in mass spectrometry and chromatographic separations applied to chemical and biological questions. A collaboration with our team will yield a powerful analysis of the lipid profile and an in-depth careful statistical analysis of the results using R-studio scripts developed in collaboration with the bioinformatics group on-site. Bioinformatic pathway analysis is performed for the determination of lipid metabolism enzymes modified by treatment or physiological state, providing graphical representations of the results.
Lipid profiles are acquired using chromatographic separation coupled with mass spectrometry, which includes the detection of 35 lipid subclasses (around 760 lipid molecular species). Semi-quantitative results and statistical analysis are provided using bioinformatics tools for analysing these large datasets according to the classification/nomenclature proposed by the LIPID MAPS® Lipidomics gateway consortium.
Facility flyer (pdf)