Although single-cell RNA-sequencing has revolutionized biomedical research, exploring cell states from an extracellular vesicle viewpoint has remained elusive. We present an algorithm, SEVtras, that accurately captures signals from small extracellular vesicles and determines source cell-type secretion activity. SEVtras unlocks an extracellular dimension for single-cell analysis with diagnostic potential.
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References
Kalluri, R. & LeBleu, V. S. The biology, function, and biomedical applications of exosomes. Science 367, eaau6977 (2020). This review article presents the origin, composition and function of sEVs.
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Ji, Y. et al. Multiplexed profiling of single-cell extracellular vesicles secretion. Proc. Natl Acad. Sci. USA 116, 5979–5984 (2019). This paper uses a microfluidics method to study the secretion activity of sEVs at the single-cell level.
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This is a summary of: He, R., Zhu, J., Ji, P. & Zhao, F. SEVtras delineates small extracellular vesicles at droplet resolution from single-cell transcriptomes. Nat. Methods https://doi.org/10.1038/s41592-023-02117-1 (2023).
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SEVtras characterizes cell-type-specific small extracellular vesicle secretion. Nat Methods 21, 166–167 (2024). https://doi.org/10.1038/s41592-023-02118-0
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DOI: https://doi.org/10.1038/s41592-023-02118-0