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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. (2022)
Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform.
In: International Journal of Molecular Sciences, 2022, 23 (15)
doi: 10.26083/tuprints-00022330
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform
Language: English
Date: 31 October 2022
Place of Publication: Darmstadt
Year of primary publication: 2022
Publisher: MDPI
Journal or Publication Title: International Journal of Molecular Sciences
Volume of the journal: 23
Issue Number: 15
Collation: 22 Seiten
DOI: 10.26083/tuprints-00022330
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

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.

Uncontrolled Keywords: small extracellular vesicles, phenotype, tetraspanins, characterization
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-223301
Additional Information:

This article belongs to the Special Issue Exosomes

Classification DDC: 500 Science and mathematics > 570 Life sciences, biology
600 Technology, medicine, applied sciences > 610 Medicine and health
Divisions: 10 Department of Biology > Extracellular vesicles / miRNA Research
Date Deposited: 31 Oct 2022 14:31
Last Modified: 14 Nov 2023 19:05
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/22330
PPN: 501163891
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