Size exclusion chromatography (SEC) is a well-established method for the isolation of extracellular vesicles (EVs), but the large elution volumes necessitate a concentration step prior to proteomics analysis. This concentration step can lead to a significant EV loss. Here we report an EV proteomics approach that enables the isolation of EVs into just 80 μL, which is directly compatible with proteomics analysis without the need for a prior concentration. EVs were characterized by transmission electron microscopy, Western blot, and nanoparticle tracking analysis, all of which confirmed the presence of small EVs. Proteomics analysis of the EVs was performed and benchmarked against those isolated by using an automated UHPLC-SEC platform. The novel workflow identified more proteins and more EV markers, including 96 of the 100 top exosomal proteins from the ExoCarta database, compared to 91 identified using EV samples isolated by UHPLC-SEC. When applied to EVs isolated from pancreatic cancer cell lines, the workflow demonstrated higher sensitivity for previously reported EV markers of pancreatic cancer.

Novel PPT+SEC Workflow for High-Sensitivity Extracellular Vesicle Proteomics from Cell Media

Casieri V;Immordino B;Lionetti V;
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Abstract

Size exclusion chromatography (SEC) is a well-established method for the isolation of extracellular vesicles (EVs), but the large elution volumes necessitate a concentration step prior to proteomics analysis. This concentration step can lead to a significant EV loss. Here we report an EV proteomics approach that enables the isolation of EVs into just 80 μL, which is directly compatible with proteomics analysis without the need for a prior concentration. EVs were characterized by transmission electron microscopy, Western blot, and nanoparticle tracking analysis, all of which confirmed the presence of small EVs. Proteomics analysis of the EVs was performed and benchmarked against those isolated by using an automated UHPLC-SEC platform. The novel workflow identified more proteins and more EV markers, including 96 of the 100 top exosomal proteins from the ExoCarta database, compared to 91 identified using EV samples isolated by UHPLC-SEC. When applied to EVs isolated from pancreatic cancer cell lines, the workflow demonstrated higher sensitivity for previously reported EV markers of pancreatic cancer.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11382/578533
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