Untargeted lipidomics

Get a semi quantitative profiling of many classes of biologically relevant lipids using our high resolution instruments.

Example of lipid class quantification across several samples

Infusion lipidomics

The high resolution and MS/MS all technology of our Sciex instruments enables for fast and reliable lipidomics studies without requiring chromatographic separation of the lipids prior to mass spectrometry analysis. In such an experiment, the mass spectrometer records everything that is in the sample in a data independent manner. This means that you do not have to know beforehand what is in your sample to get a quantification value for it. Using such a workflow, we routinely get quantitative data for several thousand lipids in one experiment. Untargeted lipidomics are generally used to discover trends in samples and identify lipids of interest, which can be further analyzed in a targeted LC-MS/MS workflow later on. 

LC-MS/MS lipidomics

Although infusion lipidomics can answer many of the needs associated with sample lipid profiling, some workflows do require chromatographic separation before MS analysis. For example, the quantification of isobaric lipids can only be done if the lipids are somehow separated before entering the mass spectrometer. In these cases, we would choose a column that is suitable for the separation of your lipids of interest and still be able to perform large spectrum lipidomics profiling experiments. 

Non-exhaustive list of lipid classes covered by these methods

  • Phospholipids
    • Phosphatidylethanolamine (PE)
    • Phosphatidic acid (PA)
    • Phosphatidylcholine (PC)
    • Phosphatidylserine (PS)
    • Phosphatidylinositol
    • Sphingosines
    • Ceramides
  • Mono, di and triglycerides
  • Free fatty acids
  • .. and more!

Data reports

Reports for untargeted lipidomics experiment will be customized to your needs. We typically report both individual lipids and the sum of all the lipids in classes of interest. Advanced statistics (PCA, heatmap clustering) can be included if needed. In any cases, a quick chat with our experts can be scheduled to ensure that you get the results that you are looking for.

Contact us to discuss your untargeted lipidomics experiments

My personal experience of collaborating with PhenoSwitch Bioscience was really amazing and great. Ribosomal protein paralogs have very limited number of amino acid differences. If it were not for PhenoSwitch, it would not have been possible to get such a high quality identification and quantification of duplicated ribosomal proteins in yeast. I am highly indebted and thankful for their perseverance, commitment, help and guidance during the tough times of optimization. If you you need to use MS for identification and quantification of your molecules, I strongly recommend you to talk to these guys!
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