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Multiparametric Orthogonal Characterization of Extracellular Vesicles by Liquid Chromatography Combined with In-Line Light Scattering and Fluorescence Detection.
Normak, Karl; Papp, Marcell; Ullmann, Michael; Paganini, Carolina; Manno, Mauro; Bongiovanni, Antonella; Bergese, Paolo; Arosio, Paolo.
Afiliação
  • Normak K; Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich 8093, Switzerland.
  • Papp M; Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich 8093, Switzerland.
  • Ullmann M; Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich 8093, Switzerland.
  • Paganini C; Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich 8093, Switzerland.
  • Manno M; Institute of Biophysics, National Research Council of Italy, Via Ugo la Malfa 153, Palermo 90146, Italy.
  • Bongiovanni A; Institute for Research and Biomedical Innovation (IRIB), National Research Council of Italy, Via Ugo La Malfa 153, Palermo 90146, Italy.
  • Bergese P; Department of Molecular and Translational Medicine, University of Brescia, Brescia 25123, Italy.
  • Arosio P; Center for Colloid and Surface Science (CSGI), Florence 50019, Italy.
Anal Chem ; 95(33): 12443-12451, 2023 08 22.
Article em En | MEDLINE | ID: mdl-37556360
Extracellular vesicles (EVs) are membrane-enclosed biological nanoparticles with potential as diagnostic markers and carriers for therapeutics. Characterization of EVs poses severe challenges due to their complex structure and composition, requiring the combination of orthogonal analytical techniques. Here, we demonstrate how liquid chromatography combined with multi-angle light scattering (MALS) and fluorescence detection in one single apparatus can provide multiparametric characterization of EV samples, including concentration of particles, average diameter of the particles, protein amount to particle number ratio, presence of EV surface markers and lipids, EV shape, and sample purity. The method requires a small amount of sample of approximately 107 EVs, limited handling of the sample and data analysis time in the order of minutes; it is fully automatable and can be applied to both crude and purified samples.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vesículas Extracelulares Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vesículas Extracelulares Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article