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    Digital detection of exosomes by interferometric imaging

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    This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material.
    Date Issued
    2016-11-17
    Publisher Version
    10.1038/srep37246
    Author(s)
    Daaboul, George G.
    Gagni, Paola
    Benussi, Luisa
    Bettotti, Paolo
    Ciani, Miriam
    Cretich, Marina
    Freedman, David S.
    Ghidoni, Roberta
    Ozkumur, Ayca Yalcin
    Piotto, Chiara
    Prosperi, Davide
    Santini, Benedetta
    Unlu, M. Selim
    Chiari, Marcella
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    Permanent Link
    https://hdl.handle.net/2144/40115
    Version
    Published version
    Citation (published version)
    George G Daaboul, Paola Gagni, Luisa Benussi, Paolo Bettotti, Miriam Ciani, Marina Cretich, David S Freedman, Roberta Ghidoni, Ayca Yalcin Ozkumur, Chiara Piotto, Davide Prosperi, Benedetta Santini, M Selim Unlu, Marcella Chiari. 2016. "Digital Detection of Exosomes by Interferometric Imaging." SCIENTIFIC REPORTS, Volume 6, 10 pp. https://doi.org/10.1038/srep37246
    Abstract
    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.
    Rights
    This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material.
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    • ENG: Electrical and Computer Engineering: Scholarly Papers [265]
    • BU Open Access Articles [3866]


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