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Titel: Potential and challenges of specifically isolating extracellular vesicles from heterogeneous populations
Autor(en): Allelein, Susann
Medina‑Perez, Paula
Heitor Lopes, Ana Leonor
Rau, Sabrina
Hause, GerdIn der Gemeinsamen Normdatei der DNB nachschlagen
Kölsch, Andreas
Kuhlmeier, Dirk
Erscheinungsdatum: 2021
Art: Artikel
Sprache: Englisch
Zusammenfassung: Extracellular vesicles (EVs) have attracted interest due to their ability to provide diagnostic information from liquid biopsies. Cells constantly release vesicles divers in size, content and features depending on the biogenesis, origin and function. This heterogeneity adds a layer of complexity when attempting to isolate and characterize EVs resulting in various protocols. Their high abundance in all bodily fluids and their stable source of origin dependent biomarkers make EVs a powerful tool in biomarker discovery and diagnostics. However, applications are limited by the quality of samples definition. Here, we compared frequently used isolation techniques: ultracentrifugation, density gradient centrifugation, ultrafiltration and size exclusion chromatography. Then, we aimed for a tissue-specific isolation of prostate-derived EVs from cell culture supernatants with immunomagnetic beads. Quality and quantity of EVs were confirmed by nanoparticle tracking analysis, western blot and electron microscopy. Additionally, a spotted antibody microarray was developed to characterize EV sub-populations. Current analysis of 16 samples on one microarray for 6 different EV surface markers in triplicate could be easily extended allowing a faster and more economical method to characterize samples.
URI: https://opendata.uni-halle.de//handle/1981185920/112703
http://dx.doi.org/10.25673/110748
Open-Access: Open-Access-Publikation
Nutzungslizenz: (CC BY 4.0) Creative Commons Namensnennung 4.0 International(CC BY 4.0) Creative Commons Namensnennung 4.0 International
Journal Titel: Scientific reports
Verlag: Macmillan Publishers Limited, part of Springer Nature
Verlagsort: [London]
Band: 11
Originalveröffentlichung: 10.1038/s41598-021-91129-y
Enthalten in den Sammlungen:Open Access Publikationen der MLU

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