Multiple reaction monitoring profiling as an analytical strategy to investigate lipids in extracellular vesicles.
Madison E EdwardsThomas De LucaChristina Ramires FerreiraKimberly S CollinsMichael T EadonEric A BensonTiago J P SobreiraRobert Graham CooksPublished in: Journal of mass spectrometry : JMS (2020)
Extracellular vesicles (EVs) convey information used in cell-to-cell interactions. Lipid analysis of EVs remains challenging because of small sample amounts available. Lipid discovery using traditional mass spectrometry platforms based on liquid chromatography and high mass resolution typically employs milligram sample amounts. We report a simple workflow for lipid profiling of EVs based on multiple reaction monitoring (MRM) profiling that uses microgram amounts of sample. After liquid-liquid extraction, individual EV samples were injected directly into the electrospray ionization (ESI) ion source at low flow rates (10 μl/min) and screened for 197 MRM transitions chosen to be a characteristic of several classes of lipids. This choice was based on a discovery experiment, which applied 1,419 MRMs associated with multiple lipid classes to a representative pooled sample. EVs isolated from 12 samples of human lymphocytes and 16 replicates from six different rat cells lines contained an estimated amount of total lipids of 326 to 805 μg. Samples showed profiles that included phosphatidylcholine (PC), sphingomyelin (SM), cholesteryl ester (CE), and ceramide (Cer) lipids, as well as acylcarnitines. The lipid profiles of human lymphocyte EVs were distinguishable using principal component and cluster analysis in terms of prior antibody and drug exposure. Lipid profiles of rat cell lines EV's were distinguishable by their tissue of origin.
Keyphrases
- fatty acid
- single cell
- mass spectrometry
- liquid chromatography
- endothelial cells
- small molecule
- oxidative stress
- high throughput
- healthcare
- cell therapy
- induced apoptosis
- stem cells
- clinical trial
- induced pluripotent stem cells
- ms ms
- cross sectional
- high resolution mass spectrometry
- social media
- drug induced
- electronic health record
- energy transfer