The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Label-free detection and molecular profiling of exosomes with a nano-plasmonic sensor
Open accessAbstract
Exosomes show potential for cancer diagnostics because they transport molecular contents of the cells from which they originate. Detection and molecular profiling of exosomes is technically challenging and often requires extensive sample purification and labeling. Here we describe a label-free, high-throughput approach for quantitative analysis of exosomes. Our nano-plasmonic exosome (nPLEX) assay is based on transmission surface plasmon resonance through periodic nanohole arrays. Each array is functionalized with antibodies to enable profiling of exosome surface proteins and proteins present in exosome lysates. We show that this approach offers improved sensitivity over previous methods, enables portable operation when integrated with miniaturized optics and allows retrieval of exosomes for further study. Using nPLEX to analyze ascites samples from ovarian cancer patients, we find that exosomes derived from ovarian cancer cells can be identified by their expression of CD24 and EpCAM, suggesting the potential of exosomes for diagnostics.
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Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluids
Théry, C., Amigorena, S., Raposo, G., & Clayton, A. (2006) · Current Protocols in Cell Biology · doi:10.1002/0471143030.cb0322s30 · Cited by 5,766
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EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research
EV-TRACK Consortium, Van Deun, J., Mestdagh, P., Agostinis, P., Akay, Ö., Anand, S., Anckaert, J., Martinez, Z. A., Baetens, T., Beghein, E., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4185 · Cited by 1,284
Using exosomes, naturally-equipped nanocarriers, for drug delivery
Batrakova, E. V., & Kim, M. S. (2015) · Journal of Controlled Release · doi:10.1016/j.jconrel.2015.07.030 · Cited by 1,041
Exosomes as a new frontier of cancer liquid biopsy
Yu, D., Li, Y., Wang, M., Gu, J., Xu, W., Cai, H., Fang, X., & Zhang, X. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01509-9 · Cited by 855
Exosome Processing and Characterization Approaches for Research and Technology Development
Lai, J. J., Chau, Z. L., Chen, S., Hill, J. J., Korpany, K. V., Liang, N., Lin, L., Lin, Y., Liu, J. K., Liu, Y., et al. (2022) · Advanced Science · doi:10.1002/advs.202103222 · Cited by 623
Metadata
- Authors
- Im, H., Shao, H., Park, Y. I., Peterson, V. M., Castro, C. M., Weissleder, R., & Lee, H.
- Venue
- Nature Biotechnology
- Published
- 2014-04-20
- Volume
- 32
- Issue
- 5
- Pages
- 490-495
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2000455734
- Cited by
- 1,321
- References
- 2
- FWCI
- 32.73
- Type
- journal article
- Language
- en
- Open access
- green
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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.
