Take your biomarker studies to the next level with exosomal lipidomics/metabolomics
Because we know exosomes and we know how to deliver on end-to-end service
Whether you’re interested in circulating biomarker discovery, basic exosome research, or other exosome-related studies, SBI’s Exosome Lipidomics & Metabolomics Service helps you quickly and efficiently get the most information from your exosomes. Simply send us your sample or purified exosomes and we’ll send back a spreadsheet with putative identifications, mass/charge ratios, and differential analysis (if requested).
What can lipidomics of exosomes tell you?
Lipids are an important part of cellular physiology, and are increasingly being recognized for their importance in exosome biology as well. Exosomes were recently shown to have the highest lipid-to-protein ratio of all classes of extracellular vesicles1, with lipid content that both differs from the parent cell the vesicles are shed from2 and also changes as exosomes undergo a variety of physiological processes3. These unique lipid profiles can serve as novel circulating biomarkers, and recent evidence suggests that specific lipid species carried by exosomes can also modulate the function of recipient cells4.
With so much information revealed by lipid content, lipidomics studies of exosomes are a great way to identify lipid-based biomarkers and for understanding vesicle biogenesis and function5.
What can metabolomics of exosomes tell you?
In addition to lipids, exosomes carry a wide range of metabolites that can also be used for biomarker discovery. A recent study found distinctly different populations of metabolites in PANC1 cells treated with TGF-β, a known driver of cancer progression, versus a control group, suggesting that metabolite profiling can be used for differentiating cellular states6. Like exosomal lipids, exosomal metabolites can also take an active role in the target cell, and have been shown to reprogram metabolic machinery upon uptake by cancer cells, fueling growth7.
Lipidomics & Metabolomics service highlights:
- Discover novel circulating biomarkers
- Learn more about exosome biology
- Send us your sample and receive data in 4–6 weeks
- MS data will be delivered as Excel files with putative identification based on the m/z ratio of the analytes
- Differential analysis of lipids and metabolites between treatment groups will be included in the Excel files
- Osteikoetxea X, et al. Improved characterization of EV preparations based on protein to lipid ratio and lipid properties. PLoS One. 2015;10(3):e0121184. PMCID: PMC4370721.
- Llorente A, et al. Molecular lipidomics of exosomes released by PC-3 prostate cancer cells. Biochim Biophys Acta. 2013;1831(7):1302-9. PMID: 24046871.
- Carayon K, et al. Proteolipidic composition of exosomes changes during reticulocyte maturation. J Biol Chem. 2011;286(39):34426-39. PMCID: PMC3190795.
- Subra C, et al. Exosomes account for vesicle-mediated transcellular transport of activatable phospholipases and prostaglandins. J Lipid Res. 2010;51(8):2105-20. PMCID: PMC2903822.
- Subra C, et al. Exosome lipidomics unravels lipid sorting at the level of multivesicular bodies. Biochimie. 2007;89(2):205-12. PMID: 17157973.
- Altadill T, et al. Enabling Metabolomics Based Biomarker Discovery Studies Using Molecular Phenotyping of Exosome-Like Vesicles. PLoS One. 2016 Mar 14;11(3):e0151339. PMCID: PMC4790956.
- Zhao H, et al. Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism. Elife. 2016 Feb 27;5. pii: e10250. PMCID: PMC4841778.
How it works
Ordering Exosome Proteomics Services is easy
Step 1. Contact the services team for a quote by emailing firstname.lastname@example.org.
Step 2. Send us your samples.
Step 3. Get your data files in 4–6 weeks.
Our standard service offers UPLC-FTMS analysis of very polar metabolites in the aqueous phase, with lipids and other metabolites in the organic phase. Non-polar analysis also available upon request.
Note that all IDs are based only on retention time, accurate mass measurement, and preliminary MS/MS data, and cannot be guaranteed. Not all peaks will be identified, and we recommend that any peaks of interest—either due to the identity of the compound reported and/or change in intensity between samples—MUST be verified by additional targeted analysis at additional cost.
Input sample requirements