Absolute sizing and label-free identification of extracellular vesicles by flow cytometry
Autor: | Edwin van der Pol, Rienk Nieuwland, Auguste Sturk, Elmar L. Gool, Anita N. Böing, Ton G. van Leeuwen, Frank A. W. Coumans, Leonie de Rond |
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Přispěvatelé: | Other Research, Biomedical Engineering and Physics, ACS - Amsterdam Cardiovascular Sciences, Other departments, Laboratory Specialized Diagnostics & Research, ACS - Microcirculation, ACS - Atherosclerosis & ischemic syndromes |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Lipoproteins Arbitrary unit Biomedical Engineering Pharmaceutical Science Medicine (miscellaneous) Nanoparticle Bioengineering 030204 cardiovascular system & hematology Flow cytometry Extracellular Vesicles Plasma 03 medical and health sciences 0302 clinical medicine Microscopy Electron Transmission medicine Humans General Materials Science Particle Size Cell Size medicine.diagnostic_test Chemistry Flow Cytometry Microvesicles Refractometry 030104 developmental biology Drug delivery Nanoparticles Molecular Medicine Nanomedicine Particle size Biomedical engineering |
Zdroj: | Nanomedicine: nanotechnology, biology and medicine, 14(3), 801-810. Elsevier Inc. |
ISSN: | 1549-9634 |
Popis: | Blood contains extracellular vesicles (EVs), which are biological nanoparticles with clinical applications. In blood plasma, EVs are outnumbered by similar-sized lipoprotein particles (LPs), leading to controversial data such as non-specific binding of antibodies to LPs. Flow cytometry is a clinically applicable technique to characterize single EVs in body fluids. However, flow cytometry data have arbitrary units, impeding standardization, data comparison, and data interpretation, such as differentiation between EVs and LPs. Here we present a new method, named flow cytometry scatter ratio (Flow-SR), to relate the ambiguous light scattering signals of flow cytometry to the diameter and refractive index (RI) of single nanoparticles between 200-500 nm in diameter. Flow-SR enables label-free differentiation between EVs and LPs and improves data interpretation and comparison. Because Flow-SR is easy to implement, widely applicable, and more accurate and faster than existing techniques to size nanoparticles in suspension, Flow-SR has numerous applications in nanomedicine. |
Databáze: | OpenAIRE |
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