The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Integrated immunoisolation and protein analysis of circulating exosomes using microfluidic technology
Open accessAbstract
Developing blood-based tests is appealing for non-invasive disease diagnosis, especially when biopsy is difficult, costly, and sometimes not even an option. Tumor-derived exosomes have attracted increasing interest in non-invasive cancer diagnosis and monitoring of treatment response. However, the biology and clinical value of exosomes remains largely unknown due in part to current technical challenges in rapid isolation, molecular classification and comprehensive analysis of exosomes. Here we developed a new microfluidic approach to streamline and expedite the exosome analysis pipeline by integrating specific immunoisolation and targeted protein analysis of circulating exosomes. Compared to the conventional methods, our approach enables selective subpopulation isolation and quantitative detection of surface and intravesicular biomarkers directly from a minimally invasive amount of plasma samples (30 μL) within ~100 min with markedly improved detection sensitivity. Using this device, we demonstrated phenotyping of exosome subpopulations by targeting a panel of common exosomal and tumor-specific markers and multiparameter analyses of intravesicular biomarkers in the selected subpopulation. We were able to assess the total expression and phosphorylation levels of IGF-1R in non-small-cell lung cancer patients by probing plasma exosomes as a non-invasive alternative to conventional tissue biopsy. We foresee that the microfluidic exosome analysis platform will form the basis for critically needed infrastructures for advancing the biology and clinical utilization of exosomes.
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Using exosomes, naturally-equipped nanocarriers, for drug delivery
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Exosomes as a new frontier of cancer liquid biopsy
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Recent advances in microfluidic methods in cancer liquid biopsy
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Recent advances in isolation and detection of exosomal microRNAs related to Alzheimer's disease
Pishbin, E., Sadri, F., Dehghan, A., Kiani, M. J., Hashemi, N., Zare, I., Mousavi, P., & Rahi, A. (2023) · Environmental Research · doi:10.1016/j.envres.2023.115705 · Cited by 25
Metadata
- Authors
- He, M., Crow, J., Roth, M., Zeng, Y., & Godwin, A. K.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014-07-18
- Volume
- 14
- Issue
- 19
- Pages
- 3773
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2055369603
- Cited by
- 499
- References
- 5
- FWCI
- 9.98
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.