Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
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
_version_ 1782468024091017216
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
work_keys_str_mv AT daaboulgeorgeg digitaldetectionofexosomesbyinterferometricimaging
AT gagnipaola digitaldetectionofexosomesbyinterferometricimaging
AT benussiluisa digitaldetectionofexosomesbyinterferometricimaging
AT bettottipaolo digitaldetectionofexosomesbyinterferometricimaging
AT cianimiriam digitaldetectionofexosomesbyinterferometricimaging
AT cretichmarina digitaldetectionofexosomesbyinterferometricimaging
AT freedmandavids digitaldetectionofexosomesbyinterferometricimaging
AT ghidoniroberta digitaldetectionofexosomesbyinterferometricimaging
AT ozkumuraycayalcin digitaldetectionofexosomesbyinterferometricimaging
AT piottochiara digitaldetectionofexosomesbyinterferometricimaging
AT prosperidavide digitaldetectionofexosomesbyinterferometricimaging
AT santinibenedetta digitaldetectionofexosomesbyinterferometricimaging
AT unlumselim digitaldetectionofexosomesbyinterferometricimaging
AT chiarimarcella digitaldetectionofexosomesbyinterferometricimaging