A standardized method to determine the concentration of extracellular vesicles using tunable resistive pulse sensing

0301 basic medicine Concentration concentration standardised methodology nanopores 610 exosomes Microparticles Exosomes Resistive pulse sensing 2722 Histology 1307 Cell Biology Nanopores resistive pulse sensing 03 medical and health sciences colloids Journal Article EV concentration Colloids Original Research Article EVs microparticles Micropores 0303 health sciences QH573-671 exosomes; extracellular vesicles; EV; nanoparticles; microparticles; colloids; resistive pulse sensing; Coulter counter; nanopores; micropores; concentration. 600 Extracellular vesicles 3207 Medical microbiology 3. Good health Biological sciences Chancellery micropores FOS: Biological sciences Biochemistry and cell biology Nanoparticles nanoparticles extracellular vesicles Cytology Coulter counter blood plasma EV
DOI: 10.3402/jev.v5.31242 Publication Date: 2016-09-27T10:28:01Z
ABSTRACT
BackgroundUnderstanding the pathogenic role of extracellular vesicles (EVs) in disease and their potential diagnostic and therapeutic utility is extremely reliant on in‐depth quantification, measurement and identification of EV sub‐populations. Quantification of EVs has presented several challenges, predominantly due to the small size of vesicles such as exosomes and the availability of various technologies to measure nanosized particles, each technology having its own limitations.Materials and MethodsA standardized methodology to measure the concentration of extracellular vesicles (EVs) has been developed and tested. The method is based on measuring the EV concentration as a function of a defined size range. Blood plasma EVs are isolated and purified using size exclusion columns (qEV) and consecutively measured with tunable resistive pulse sensing (TRPS). Six independent research groups measured liposome and EV samples with the aim to evaluate the developed methodology. Each group measured identical samples using up to 5 nanopores with 3 repeat measurements per pore. Descriptive statistics and unsupervised multivariate data analysis with principal component analysis (PCA) were used to evaluate reproducibility across the groups and to explore and visualise possible patterns and outliers in EV and liposome data sets.ResultsPCA revealed good reproducibility within and between laboratories, with few minor outlying samples. Measured mean liposome (not filtered with qEV) and EV (filtered with qEV) concentrations had coefficients of variance of 23.9% and 52.5%, respectively. The increased variance of the EV concentration measurements could be attributed to the use of qEVs and the polydisperse nature of EVs.ConclusionThe results of this study demonstrate the feasibility of this standardized methodology to facilitate comparable and reproducible EV concentration measurements.
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