2018
DOI: 10.1016/j.nano.2017.12.012
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Absolute sizing and label-free identification of extracellular vesicles by flow cytometry

Abstract: 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 betwe… Show more

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Cited by 109 publications
(143 citation statements)
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“…The Mie scattering theory that describes the scattering properties of spherical nanoparticles with a size comparable to the wavelength used to probe the particles (13) is however far more complex than the simple radius-squared relation between the size of liposomes and their corresponding fluorescence intensity (4,25). While more sensitive SSC and/or FSC detection setups than the FACSAria setup used in this study may provide scattering output useful for vesicle size determination (12,13), we find that the SSC resolution to be limited for small (30-300 nm) liposomes. Hence, by sorting several fractions according to the SSC of different sizes of nanoparticles, well-defined size bins can be defined and used to provide a size distribution of nanoparticles based on the flow cytometric scattering readout, similar to the FANS procedure presented herein.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…The Mie scattering theory that describes the scattering properties of spherical nanoparticles with a size comparable to the wavelength used to probe the particles (13) is however far more complex than the simple radius-squared relation between the size of liposomes and their corresponding fluorescence intensity (4,25). While more sensitive SSC and/or FSC detection setups than the FACSAria setup used in this study may provide scattering output useful for vesicle size determination (12,13), we find that the SSC resolution to be limited for small (30-300 nm) liposomes. Hence, by sorting several fractions according to the SSC of different sizes of nanoparticles, well-defined size bins can be defined and used to provide a size distribution of nanoparticles based on the flow cytometric scattering readout, similar to the FANS procedure presented herein.…”
Section: Discussionmentioning
confidence: 99%
“…In principle, liposomes could be used as calibrators for EV size determination due to the structural similarity between liposomes and EVs (both are core-shell structure), instead of using solid plastic and silica beads that are traditionally used as EV size calibrators. Recent work (12) shows that by taking the ratio between SSC and FSC (they used a high scatter sensitivity flow cytometer) in combination with Mie scattering theory, EV sizes in the range from 200 to 500 nm could be deduced. Yet, EVs are a very heterogeneous population of biological nanoparticles when it comes to size and composition and therefore also refractive indexes.…”
Section: The Potential Use Of Flow-activated Nanoparticle-sorted Calimentioning
confidence: 99%
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“…The measurement data are analyzed by a standalone software package that automatically recognizes the bead populations and fits a Mie model to derive the parameters describing the optical configuration of the used FCM. Starting from the manufacturer's specification for each FCM, these optical parameters are fitted to different values for each FCM, accounting for differences in both design and FCM alignment; see for more details. With the assumption of an RI of 1.40 for EVs , the scatter–diameter relationship for EVs is estimated.…”
Section: Methodsmentioning
confidence: 99%
“…However, these imaging-based analyses are low-throughput and not easily amenable to determination of EV contents. Adaptation of flow cytometric protocols has allowed for measurement of proteins in individual EVs and identification of separate EV populations [3*]. Poor signal-to-noise ratios remain a problem in these measurements, limiting its ability to identify low abundance proteins.…”
Section: Introductionmentioning
confidence: 99%