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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Advanced Biosystemsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Advanced Biosystems
Article . 2017 . Peer-reviewed
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Extracellular Vesicles: Isolation Methods

Authors: Eloise, Pariset; Vincent, Agache; Arnaud, Millet;

Extracellular Vesicles: Isolation Methods

Abstract

Extracellular vesicles (EVs) have recently been at the center of attention of cellular biologists and physicians as their role in intercellular communications has become progressively revealed. EVs display a huge diversity concerning their biogenesis and functions, leading to a still evolving classification comprising exosomes, microvesicles and apoptotic bodies. One of the main technical challenges to studying EVs is to isolate them without interfering with their structure, in order to be able to reveal their functions and to use them as biomarkers. Moreover, the new area of therapeutically using EVs needs clinical grade methods of isolation. In this review, different methods disposable to researchers and clinicians to isolate EVs are described, focusing on the physical principles that allow understanding the advantages and limitations of each technique. The new growing field of microfluidic systems which offers the opportunity to associate isolation and characterization on a single chip will be presented highlighting its potential in the field of EV studies.

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    32
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
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