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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 access
Sina, Abu Ali Ibn, Vaidyanathan, Ramanathan, Dey, Shuvashis, Carrascosa, Laura G., Shiddiky, Muhammad J. A., Trau, Matt·2016·Scientific Reports

Abstract

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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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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CoChat. (2026). Citation check: Real time and label free profiling of clinically relevant exosomes. https://app.cochat.ai/papers/10.1038/srep30460
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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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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.