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Digital Detection of Exosomes by Interferometric Imaging
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 an...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112555/ https://www.ncbi.nlm.nih.gov/pubmed/27853258 http://dx.doi.org/10.1038/srep37246 |
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author | 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 Ünlü, M. Selim Chiari, Marcella |
author_facet | 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 Ünlü, M. Selim Chiari, Marcella |
author_sort | Daaboul, George G. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5112555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51125552016-11-23 Digital Detection of Exosomes by Interferometric Imaging 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 Ünlü, M. Selim Chiari, Marcella Sci Rep Article 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. Nature Publishing Group 2016-11-17 /pmc/articles/PMC5112555/ /pubmed/27853258 http://dx.doi.org/10.1038/srep37246 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ 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. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article 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 Ünlü, M. Selim Chiari, Marcella Digital Detection of Exosomes by Interferometric Imaging |
title | Digital Detection of Exosomes by Interferometric Imaging |
title_full | Digital Detection of Exosomes by Interferometric Imaging |
title_fullStr | Digital Detection of Exosomes by Interferometric Imaging |
title_full_unstemmed | Digital Detection of Exosomes by Interferometric Imaging |
title_short | Digital Detection of Exosomes by Interferometric Imaging |
title_sort | digital detection of exosomes by interferometric imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112555/ https://www.ncbi.nlm.nih.gov/pubmed/27853258 http://dx.doi.org/10.1038/srep37246 |
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