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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
Artikel, Zweitveröffentlichung, Verlagsversion

Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2022
Autor(en): Breitwieser, Kai ; Koch, Leon F. ; Tertel, Tobias ; Proestler, Eva ; Burgers, Luisa D. ; Lipps, Christoph ; Adjaye, James ; Fürst, Robert ; Giebel, Bernd ; Saul, Meike J.
Art des Eintrags: Zweitveröffentlichung
Titel: Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform
Sprache: Englisch
Publikationsjahr: 2022
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2022
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: International Journal of Molecular Sciences
Jahrgang/Volume einer Zeitschrift: 23
(Heft-)Nummer: 15
Kollation: 22 Seiten
DOI: 10.26083/tuprints-00022330
URL / URN: https://tuprints.ulb.tu-darmstadt.de/22330
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Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (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.

Freie Schlagworte: small extracellular vesicles, phenotype, tetraspanins, characterization
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-223301
Zusätzliche Informationen:

This article belongs to the Special Issue Exosomes

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin, Gesundheit
Fachbereich(e)/-gebiet(e): 10 Fachbereich Biologie
10 Fachbereich Biologie > Extracellular vesicles / miRNA Research
Hinterlegungsdatum: 31 Okt 2022 14:31
Letzte Änderung: 01 Nov 2022 08:42
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