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Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform

Small extracellular vesicles (sEV) hold enormous potential as biomarkers, drug carriers, and therapeutic agents. However, due to previous limitations in the phenotypic characterization of sEV at the single vesicle level, knowledge of cell type-specific sEV signatures remains sparse. With the introdu...

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Autores principales: Breitwieser, Kai, Koch, Leon F., Tertel, Tobias, Proestler, Eva, Burgers, Luisa D., Lipps, Christoph, Adjaye, James, Fürst, Robert, Giebel, Bernd, Saul, Meike J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369185/
https://www.ncbi.nlm.nih.gov/pubmed/35955677
http://dx.doi.org/10.3390/ijms23158544
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author Breitwieser, Kai
Koch, Leon F.
Tertel, Tobias
Proestler, Eva
Burgers, Luisa D.
Lipps, Christoph
Adjaye, James
Fürst, Robert
Giebel, Bernd
Saul, Meike J.
author_facet Breitwieser, Kai
Koch, Leon F.
Tertel, Tobias
Proestler, Eva
Burgers, Luisa D.
Lipps, Christoph
Adjaye, James
Fürst, Robert
Giebel, Bernd
Saul, Meike J.
author_sort Breitwieser, Kai
collection PubMed
description Small extracellular vesicles (sEV) hold enormous potential as biomarkers, drug carriers, and therapeutic agents. However, due to previous limitations in the phenotypic characterization of sEV at the single vesicle level, knowledge of cell type-specific sEV signatures remains sparse. With the introduction of next-generation sEV analysis devices, such as the single-particle interferometric reflectance imaging sensor (SP-IRIS)-based ExoView R100 platform, single sEV analyses are now possible. While the tetraspanins CD9, CD63, and CD81 were generally considered pan-sEV markers, it became clear that sEV of different cell types contain several combinations and amounts of these proteins on their surfaces. To gain better insight into the complexity and heterogeneity of sEV, we used the ExoView R100 platform to analyze the CD9/CD63/CD81 phenotype of sEV released by different cell types at a single sEV level. We demonstrated that these surface markers are sufficient to distinguish cell-type-specific sEV phenotypes. Furthermore, we recognized that tetraspanin composition in some sEV populations does not follow a random pattern. Notably, the tetraspanin distribution of sEV derived from mesenchymal stem cells (MSCs) alters depending on cell culture conditions. Overall, our data provide an overview of the cell-specific characteristics of sEV populations, which will increase the understanding of sEV physiology and improve the development of new sEV-based therapeutic approaches.
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spelling pubmed-93691852022-08-12 Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform Breitwieser, Kai Koch, Leon F. Tertel, Tobias Proestler, Eva Burgers, Luisa D. Lipps, Christoph Adjaye, James Fürst, Robert Giebel, Bernd Saul, Meike J. Int J Mol Sci Article Small extracellular vesicles (sEV) hold enormous potential as biomarkers, drug carriers, and therapeutic agents. However, due to previous limitations in the phenotypic characterization of sEV at the single vesicle level, knowledge of cell type-specific sEV signatures remains sparse. With the introduction of next-generation sEV analysis devices, such as the single-particle interferometric reflectance imaging sensor (SP-IRIS)-based ExoView R100 platform, single sEV analyses are now possible. While the tetraspanins CD9, CD63, and CD81 were generally considered pan-sEV markers, it became clear that sEV of different cell types contain several combinations and amounts of these proteins on their surfaces. To gain better insight into the complexity and heterogeneity of sEV, we used the ExoView R100 platform to analyze the CD9/CD63/CD81 phenotype of sEV released by different cell types at a single sEV level. We demonstrated that these surface markers are sufficient to distinguish cell-type-specific sEV phenotypes. Furthermore, we recognized that tetraspanin composition in some sEV populations does not follow a random pattern. Notably, the tetraspanin distribution of sEV derived from mesenchymal stem cells (MSCs) alters depending on cell culture conditions. Overall, our data provide an overview of the cell-specific characteristics of sEV populations, which will increase the understanding of sEV physiology and improve the development of new sEV-based therapeutic approaches. MDPI 2022-08-01 /pmc/articles/PMC9369185/ /pubmed/35955677 http://dx.doi.org/10.3390/ijms23158544 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Breitwieser, Kai
Koch, Leon F.
Tertel, Tobias
Proestler, Eva
Burgers, Luisa D.
Lipps, Christoph
Adjaye, James
Fürst, Robert
Giebel, Bernd
Saul, Meike J.
Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform
title Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform
title_full Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform
title_fullStr Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform
title_full_unstemmed Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform
title_short Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform
title_sort detailed characterization of small extracellular vesicles from different cell types based on tetraspanin composition by exoview r100 platform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369185/
https://www.ncbi.nlm.nih.gov/pubmed/35955677
http://dx.doi.org/10.3390/ijms23158544
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