The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Digital Detection of Exosomes by Interferometric Imaging
Open accessAbstract
Exosomes, which are membranous nanovesicles, are actively released by cells and have been attributed to roles in cell-cell communication, cancer metastasis, and early disease diagnostics. The small size (30–100 nm) along with low refractive index contrast of exosomes makes direct characterization and phenotypical classification very difficult. In this work we present a method based on Single Particle Interferometric Reflectance Imaging Sensor (SP-IRIS) that allows multiplexed phenotyping and digital counting of various populations of individual exosomes (>50 nm) captured on a microarray-based solid phase chip. We demonstrate these characterization concepts using purified exosomes from a HEK 293 cell culture. As a demonstration of clinical utility, we characterize exosomes directly from human cerebrospinal fluid (hCSF). Our interferometric imaging method could capture, from a very small hCSF volume (20 uL), nanoparticles that have a size compatible with exosomes, using antibodies directed against tetraspanins. With this unprecedented capability, we foresee revolutionary implications in the clinical field with improvements in diagnosis and stratification of patients affected by different disorders.
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Citations
Cites
Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluids
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Cited by
Welsh, J. A., Goberdhan, D. C. I., O'Driscoll, L., Buzas, E. I., Blenkiron, C., Bussolati, B., Cai, H., Di Vizio, D., Driedonks, T. A. P., Erdbrügger, U., et al. (2024) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12404 · Cited by 4,663
Pegtel, D. M., & Gould, S. J. (2019) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-013118-111902 · Cited by 2,682
Challenges and directions in studying cell–cell communication by extracellular vesicles
van Niel, G., Carter, D. R. F., Clayton, A., Lambert, D. W., Raposo, G., & Vader, P. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00460-3 · Cited by 1,229
Erdbrügger, U., Blijdorp, C. J., Bijnsdorp, I. V., Borràs, F. E., Burger, D., Bussolati, B., Byrd, J. B., Clayton, A., Dear, J. W., Falcón‐Pérez, J. M., et al. (2021) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12093 · Cited by 404
Using single-vesicle technologies to unravel the heterogeneity of extracellular vesicles
Bordanaba-Florit, G., Royo, F., Kruglik, S. G., & Falcón-Pérez, J. M. (2021) · Nature Protocols · doi:10.1038/s41596-021-00551-z · Cited by 325
Huang, R., He, L., Xia, Y., Xu, H., Liu, C., Xie, H., Wang, S., Peng, L., Liu, Y., Liu, Y., et al. (2019) · Small · doi:10.1002/smll.201900735 · Cited by 303
The function and clinical application of extracellular vesicles in innate immune regulation
Zhou, X., Xie, F., Wang, L., Zhang, L., Zhang, S., Fang, M., & Zhou, F. (2020) · Cellular & Molecular Immunology · doi:10.1038/s41423-020-0391-1 · Cited by 294
Current Knowledge on Exosome Biogenesis, Cargo-Sorting Mechanism and Therapeutic Implications
Xie, S., Zhang, Q., & Jiang, L. (2022) · Membranes · doi:10.3390/membranes12050498 · Cited by 262
Extracellular vesicles: New horizons in neurodegeneration
Chen, J., Tian, C., Xiong, X., Yang, Y., & Zhang, J. (2025) · eBioMedicine · doi:10.1016/j.ebiom.2025.105605 · Cited by 53
Extracellular vesicles in Alzheimer’s disease: from pathology to therapeutic approaches
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Metadata
- Authors
- Daaboul, G. G., Gagni, P., Benussi, L., Bettotti, P., Ciani, M., Cretich, M., Freedman, D. S., Ghidoni, R., Ozkumur, A. Y., Piotto, C., Prosperi, D., Santini, B., Ünlü, M. S., & Chiari, M.
- Venue
- Scientific Reports
- Published
- 2016-11-17
- Volume
- 6
- Issue
- 1
- Pages
- 37246-37246
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2549542099
- Cited by
- 292
- References
- 31
- FWCI
- 6.47
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.