The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Real time and label free profiling of clinically relevant exosomes
Open accessAbstract
Tumor-derived exosomes possess significant clinical relevance due to their unique composition of genetic and protein material that is representative of the parent tumor. Specific isolation as well as identification of proportions of these clinically relevant exosomes (CREs) from biological samples could help to better understand their clinical significance as cancer biomarkers. Herein, we present a simple approach for quantification of the proportion of CREs within the bulk exosome population isolated from patient serum. This proportion of CREs can potentially inform on the disease stage and enable non-invasive monitoring of inter-individual variations in tumor-receptor expression levels. Our approach utilises a Surface Plasmon Resonance (SPR) platform to quantify the proportion of CREs in a two-step strategy that involves (i) initial isolation of bulk exosome population using tetraspanin biomarkers (i.e., CD9, CD63), and (ii) subsequent detection of CREs within the captured bulk exosomes using tumor-specific markers (e.g., human epidermal growth factor receptor 2 (HER2)). We demonstrate the isolation of bulk exosome population and detection of as low as 10% HER2(+) exosomes from samples containing designated proportions of HER2(+) BT474 and HER2(−) MDA-MB-231 cell derived exosomes. We also demonstrate the successful isolation of exosomes from a small cohort of breast cancer patient samples and identified that approximately 14–35% of their bulk population express HER2.
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Slamon, D. J., Leyland-Jones, B., Shak, S., Fuchs, H., Paton, V., Bajamonde, A., Fleming, T., Eiermann, W., Wolter, J., Pegram, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200103153441101 · Cited by 11,500
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
Microfluidic isolation and transcriptome analysis of serum microvesicles
Chen, C., Skog, J., Hsu, C.-H., Lessard, R. T., Balaj, L., Wurdinger, T., Carter, B. S., Breakefield, X. O., Toner, M., & Irimia, D. (2010) · Lab Chip · doi:10.1039/b916199f · Cited by 572
Cited by
Current knowledge on exosome biogenesis and release
Hessvik, N. P., & Llorente, A. (2018) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-017-2595-9 · Cited by 2,362
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
Lewis, J. M., Vyas, A. D., Qiu, Y., Messer, K. S., White, R., & Heller, M. J. (2018) · ACS Nano · doi:10.1021/acsnano.7b08199 · Cited by 283
Picciolini, S., Gualerzi, A., Vanna, R., Sguassero, A., Gramatica, F., Bedoni, M., Masserini, M., & Morasso, C. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.8b00941 · Cited by 122
Yang, L., Patel, K. D., Rathnam, C., Thangam, R., Hou, Y., Kang, H., & Lee, K. (2022) · Small · doi:10.1002/smll.202104783 · Cited by 81
Metadata
- Authors
- Sina, A. A. I., Vaidyanathan, R., Dey, S., Carrascosa, L. G., Shiddiky, M. J. A., & Trau, M.
- Venue
- Scientific Reports
- Published
- 2016-07-28
- Volume
- 6
- Issue
- 1
- Pages
- 30460-30460
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2504544746
- Cited by
- 168
- References
- 3
- FWCI
- 8.28
- Type
- journal article
- Language
- en
- Open access
- gold
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- Sina, A. A. I., Vaidyanathan, R., Dey, S., Carrascosa, L. G., Shiddiky, M. J. A., & Trau, M. (2016). Real time and label free profiling of clinically relevant exosomes. Scientific Reports. https://doi.org/10.1038/srep30460
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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.