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Optimized workflow of EV enrichment from human plasma samples for downstream mass spectrometry analysis.
Erwied, Patrick; Gu, Yi; Simon, Lena; Schneider, Martin; Helm, Dominic; Michel, Maurice Stefan; Nuhn, Philipp; Nitschke, Katja; Worst, Thomas Stefan.
Afiliación
  • Erwied P; Department of Urology and Urosurgery, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany.
  • Gu Y; Department of Urology and Urosurgery, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany.
  • Simon L; Department of Urology and Urosurgery, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany.
  • Schneider M; Proteomics Core Facility, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Helm D; Proteomics Core Facility, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Michel MS; Department of Urology and Urosurgery, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany.
  • Nuhn P; Department of Urology, Universitätsklinikum Schleswig-Holstein (UKSH), Campus Kiel, Kiel, Germany.
  • Nitschke K; Department of Urology and Urosurgery, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany.
  • Worst TS; Department of Urology and Urosurgery, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany. thomas.worst@medma.uni-heidelberg.de.
Discov Oncol ; 15(1): 374, 2024 Aug 27.
Article en En | MEDLINE | ID: mdl-39190201
ABSTRACT
To improve the prognosis of bladder and prostate cancer, highly specific and sensitive biomarkers are needed for early detection, prognosis prediction, and therapeutic stratification. Extracellular vesicles (EV) from plasma could fill this gap due to their potential to serve as cancer biomarkers. However, the enrichment of EV is a major challenge, because the highly abundant plasma proteins are interfering with analytical downstream applications like mass spectrometry (MS). Therefore, the purity requirements of the EV samples must be carefully considered when selecting or developing a suitable EV enrichment method. The aim of this study was to compare a self-designed EV enrichment method based on density cushion centrifugation (DCC) combined with size exclusion chromatography (SEC) and concentration (method 1) with the exoRNeasy midi kit from Qiagen (method 2) and with unprocessed plasma. Furthermore, the single steps of method 1 were evaluated for their effectiveness to enrich EV from plasma. The results showed that the EV samples enriched with method 1 contained the highest levels of EV and exosome markers with simultaneously low levels of highly abundant plasma proteins. In summary, the combination of DCC, SEC and concentration proved to be a promising approach to discover EV-based biomarkers from plasma of cancer patients.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Discov Oncol Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Discov Oncol Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos