Services

Lipometrix is built on the combined expertise of our scientific founders. Our major strength, and what sets us apart, is in unraveling complex lipidomics data to establish meaningful links to the underlying biological pathways. This is enabled through world-leading expertise in lipid metabolism, and our unique in-house data visualization software. We are currently developing novel tools to give unpresented biological insights, paving the way to one-step (drug) target identification.




Bulk analysis

On homogenised samples


Quantitative targeted Lipidomics

Our comprehensive lipidomic analysis includes over 2000 lipid species across 16 different lipid classes. Our analysis is compatible with cell cultures, plasma/serum, tissue and isolated cell organelles. You provide us with raw frozen material, we take care of lipid extraction, sample normalisation and state-of-the-art HILIC LC-MS/MS lipidomic analysis (have a look at our quick reference guide for more details). Our analysis includes an extensive data report that allows you to interactively explore your data.




Mediator Lipidomics

Mediator lipids are bioactive lipids that play important roles in signal transduction and immune response regulation. Since these lipids are very low abundant (sub-nanomolar concentrations) classic lipidomics techniques, even untargeted ones, typically do not detect these lipids. We have finetuned a specialised method using SPE extraction and targeted C18 LC-MS/MS that is able to quantify over one hundred mediator lipid species, across 16 different classes, including leukotrienes, lipoxins, prostaglandins, resolvins and protectins (check the full list and the quick reference guide).


Spatial analysis

On tissue sections


Spatial lipidomics

We offer spatial lipidomics services based on mass spectrometry imaging on a Bruker timsTOF fleX MALDI-2 ion mobility instrument. This technology brings the capability to image tissue sections prepared with standard methods at near single cell resolution (10 microns). We can identity and quantify 100s of lipids at each “pixel” of the image revealing tissue heterogeneity and offering unique opportunities for biomarker discovery and other applications.  Contact us for further details and sample preparation instructions.








Custom development

If you are interested in measuring lipid species that are not part of our standard analysis, depending on your needs, we are able to set-up a custom method. We can also combine our analysis with metabolomics through our sister facility at VIB.


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Project participation

Lipometrix is keen on supporting your research projects through a collaborative approach. We routinely participate in funding applications to agencies in Belgium and internationally (Projects). Various collaboration models are possible, from pure service provision to sharing of intellectual property and co-authorship on papers.


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Lipidomics Demo




Lipid species plots


These plots show a pairwise comparison of 2 different conditions. The first plots shows lipid species denoted by their sum notation. For example PE(36:2) refers to a phosphatidylethanolamine species with a total of 36 carbon atoms in the 2 acyl chains and a total of 2 double bonds. If you use the mouse pointer to hover over this plot, the plot below on the right will update and show the more detailed composition of these species. For example, PE(36:2) could be PE(18:1/18:1), PE(16:0/20:2), etc. The plot on the left below the first plot shows the log2 of the fold change of the 2 conditions. On these plots the lipid species are sorted from left to right by saturation degree and by chain length within groups of identical saturation degree. The lipid class of the displayed data can be changed in the menu at the top of demo.


Statistics


p-values were calculated using a one-way anova test, assuming equal variance (homoscedasticity) in the 2 groups. If the groups are of similar size, this is typically a valid assumption, since one-way anova is not very sensitive to heteroscedasticity. FDR adjusted p-values were calculated using the Benjamini–Hochberg procedure.




Feature plots


The first of these plots shows the fatty acid composition of the selected lipid class. In the two plots below, species with the same number of unsaturations (plot on the left) or with the same chain length (plot on the right) are summed together. These plots show how much percent of the acyl chains for a given lipid class contain 0, 1, 2, … unsaturations or how much percent of the acyl chains have a length of 14, 16, 18, etc. carbon atoms. The lipid class of the displayed data can be changed in the menu at the top of the screen. Click on the legend to toggle the display of individual features. Double-click on the legend to isolate individual features.





Dimensionality reduction


These plots show a Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbour Embedding (t-SNE) of the full set of samples, and were calculated based on all the measured lipid species across all lipid classes.