Single exosome study reveals subpopulations distributed among cell lines with variability related to membrane content

Abstract

Current analysis of exosomes focuses primarily on bulk analysis, where exosome-to-exosome variability cannot be assessed. In this study, we used Raman spectroscopy to study the chemical composition of single exosomes. We measured spectra of individual exosomes from 8 cell lines. Cell-line-averaged spectra varied considerably, reflecting the variation in total exosomal protein, lipid, genetic, and cytosolic content. Unexpectedly, single exosomes isolated from the same cell type also exhibited high spectral variability. Subsequent spectral analysis revealed clustering of single exosomes into 4 distinct groups that were not cell-line specific. Each group contained exosomes from multiple cell lines, and most cell lines had exosomes in multiple groups. The differences between these groups are related to chemical differences primarily due to differing membrane composition. Through a principal components analysis, we identified that the major sources of spectral variation among the exosomes were in cholesterol content, relative expression of phospholipids to cholesterol, and surface protein expression. For example, exosomes derived from cancerous versus non-cancerous cell lines can be largely separated based on their relative expression of cholesterol and phospholipids. We are the first to indicate that exosome subpopulations are shared among cell types, suggesting distributed exosome functionality. The origins of these differences are likely related to the specific role of extracellular vesicle subpopulations in both normal cell function and carcinogenesis, and they may provide diagnostic potential at the single exosome level.

• exosomes
• microvesicles
• single particle
• Raman
• laser trap
• membrane content

To access the supplementary material to this article, please see Supplementary files under ‘Article Tools’.

To access the supplementary material to this article, please see Supplementary files under ‘Article Tools’.

Acknowledgements

We would like to thank Dr Matt Mellema of the UC Davis School of Veterinary Medicine for running NTA on the samples and assisting in data analysis/interpretation. We also acknowledge Aalto University Nanomicroscopy Center (Espoo, Finland) for use of their Cryo-electron microscope.

Notes

To access the supplementary material to this article, please see Supplementary files under ‘Article Tools’.