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

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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Publication Details

Journal
Journal of Proteome Research
Published
2025-05-02
DOI
https://doi.org/10.1021/acs.jproteome.5c00082
Citations
2
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
1.61

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article

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

Mauro Gemmi, Vincenzo Lionetti, Elisa Giovannetti, Valentina Casieri et al.
2 citations
Journal of Proteome Research
Extracellular vesicles in disease
1.61
article

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

Mauro Gemmi, Vincenzo Lionetti, Elisa Giovannetti, Valentina Casieri, Chiara De Cesari, Francesco Greco, Ilaria Tonazzini, Francesco Finamore, Benoît Immordino, Valentina Cappello, Liam A. McDonnell, Asia Botto, Noa Ndimurwanko
article en
2 citations

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.

Journal of Proteome ResearchVol. 24(6)
University of Pisa (IT), Scuola Normale Superiore (IT), Scuola Superiore Sant'Anna (IT), Fondazione Pisa (IT), Italian Institute of Technology (IT), National Research Council (RO), Fondazione Toscana Gabriele Monasterio (IT), Cancer Center Amsterdam (NL), International Flame Research Foundation (IT)
Scuola Normale Superiore, Vrije Universiteit Amsterdam, Associazione Italiana per la Ricerca sul Cancro, Scuola Superiore Sant'Anna, Istituto Italiano di Tecnologia, Regione Toscana, Cancer Center Amsterdam
Openalex Percentile: Top 18%
Extracellular vesicles in disease
1.61
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