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Cited by 254

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Quantitative and qualitative flow cytometric analysis of nanosized cell-derived membrane vesicles

Open access
Hoen, Esther N.M. Nolte-'t, van der Vlist, Els J., Aalberts, Marian, Mertens, Hendrik C.H., Bosch, Berend Jan, Bartelink, Willem, Mastrobattista, Enrico, van Gaal, Ethlinn V.B., Stoorvogel, Willem, Arkesteijn, Ger J.A., Wauben, Marca H.M.·2012·Nanomedicine: Nanotechnology, Biology and Medicine
DOI 10.1016/j.nano.2011.09.006
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Abstract

Nanosized cell-derived membrane vesicles are increasingly recognized as therapeutic vehicles and high-potential biomarkers for several diseases. Currently available methods allow bulk analysis of vesicles but are not suited for accurate quantification and fail to reveal phenotypic heterogeneity in membrane vesicle populations. For such analyses, single vesicle-based, multiparameter, high-throughput methods are needed. We developed a fluorescence-based, high-resolution flow cytometric method for quantitative and qualitative analysis of nanosized membrane vesicles. Proof of principle was obtained by single-particle analysis of virions and liposomes. Further validation was obtained by quantification of cell-derived nanosized membrane vesicles from cell cultures and body fluids. An important aspect was that the technology was extended to detect specific proteins on individual vesicles. This allowed identification of exosome subsets and phenotyping of individual exosomes produced by dendritic cells (DCs) undergoing different modes of activation. The described technology allows quantitative, multiparameter, and high-throughput analysis of a wide variety of nanosized particles and has broad applications. From the Clinical Editor The authors developed a fluorescence-based, high-resolution flow cytometric method for quantitative and qualitative analysis of nanosized cell-derived membrane vesicles that are increasingly recognized both as therapeutic vehicles and high-potential biomarkers for several diseases. A high throughput, easily available, and sensitive detection method such as the one discussed here is a critically important prerequisite for further refinements of this technology.

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Metadata

Authors
Hoen, E. N. M. N.-'., van der Vlist, E. J., Aalberts, M., Mertens, H. C. H., Bosch, B. J., Bartelink, W., Mastrobattista, E., van Gaal, E. V. B., Stoorvogel, W., Arkesteijn, G. J. A., & Wauben, M. H. M.
Venue
Nanomedicine: Nanotechnology, Biology and Medicine
Publisher
Elsevier BV
Published
2012-07
Volume
8
Issue
5
Pages
712-720
ISSN
1549-9634 (ISSN-L)
DOI
10.1016/j.nano.2011.09.006
OpenAlex
W2093013992
Cited by
254
References
4
FWCI
5.05
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Quantitative and qualitative flow cytometric analysis of nanosized cell-derived membrane vesicles. https://app.cochat.ai/papers/10.1016/j.nano.2011.09.006
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Hoen, E. N. M. N.-'., van der Vlist, E. J., Aalberts, M., Mertens, H. C. H., Bosch, B. J., Bartelink, W., Mastrobattista, E., van Gaal, E. V. B., Stoorvogel, W., Arkesteijn, G. J. A., & Wauben, M. H. M. (2012). Quantitative and qualitative flow cytometric analysis of nanosized cell-derived membrane vesicles. Nanomedicine: Nanotechnology, Biology and Medicine. https://doi.org/10.1016/j.nano.2011.09.006

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.