Extracellular Vesicle Quantification and Characterization: Common Methods and Emerging Approaches

  1. Hartjes, Thomas A.
  2. Mytnyk, Serhii ORCID logo
  3. Jenster, Guido ORCID logo
  4. van Steijn, Volkert
  5. van Royen, Martin ORCID logo

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WeightNameValue
1000 Titel
  • Extracellular Vesicle Quantification and Characterization: Common Methods and Emerging Approaches
1000 Autor/in
  1. Hartjes, Thomas A. |
  2. Mytnyk, Serhii |
  3. Jenster, Guido |
  4. van Steijn, Volkert |
  5. van Royen, Martin |
1000 Erscheinungsjahr 2019
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2019-01-16
1000 Erschienen in
1000 Quellenangabe
  • 6(1):7
1000 Copyrightjahr
  • 2019
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3390/bioengineering6010007 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Extracellular vesicles (EVs) are a family of small membrane vesicles that carry information about cells by which they are secreted. Growing interest in the role of EVs in intercellular communication, but also in using their diagnostic, prognostic and therapeutic potential in (bio) medical applications, demands for accurate assessment of their biochemical and physical properties. In this review, we provide an overview of available technologies for EV analysis by describing their working principles, assessing their utility in EV research and summarising their potential and limitations. To emphasise the innovations in EV analysis, we also highlight the unique possibilities of emerging technologies with high potential for further development.
1000 Sacherschließung
lokal emerging technologies
lokal Extracellular vesicles (EVs)
lokal methods for EV analysis
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/SGFydGplcywgVGhvbWFzIEEu|https://orcid.org/0000-0002-0110-9433|https://orcid.org/0000-0002-8658-2552|https://frl.publisso.de/adhoc/uri/dmFuIFN0ZWlqbiwgVm9sa2VydA==|https://orcid.org/0000-0002-6814-0996
1000 Label
1000 Förderer
  1. KWF Kankerbestrijding |
  2. KWF Kankerbestrijding |
  3. Prostate Cancer UK |
  4. Nederlandse Organisatie voor Wetenschappelijk Onderzoek |
1000 Fördernummer
  1. EMCR2015-8022
  2. EMCR2017-8304
  3. G2012-36
  4. 14194
1000 Förderprogramm
  1. IMMPROVE Alpe d’HuZes
  2. PROSCANEXO TRANSCAN (JTC2016)
  3. -
  4. CANCER-ID, Domain Applied and Engineering Sciences (NWO-TTW)
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer KWF Kankerbestrijding |
    1000 Förderprogramm IMMPROVE Alpe d’HuZes
    1000 Fördernummer EMCR2015-8022
  2. 1000 joinedFunding-child
    1000 Förderer KWF Kankerbestrijding |
    1000 Förderprogramm PROSCANEXO TRANSCAN (JTC2016)
    1000 Fördernummer EMCR2017-8304
  3. 1000 joinedFunding-child
    1000 Förderer Prostate Cancer UK |
    1000 Förderprogramm -
    1000 Fördernummer G2012-36
  4. 1000 joinedFunding-child
    1000 Förderer Nederlandse Organisatie voor Wetenschappelijk Onderzoek |
    1000 Förderprogramm CANCER-ID, Domain Applied and Engineering Sciences (NWO-TTW)
    1000 Fördernummer 14194
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6419777.rdf
1000 Erstellt am 2020-04-07T08:33:47.361+0200
1000 Erstellt von 21
1000 beschreibt frl:6419777
1000 Bearbeitet von 21
1000 Zuletzt bearbeitet 2020-04-07T08:35:53.012+0200
1000 Objekt bearb. Tue Apr 07 08:35:00 CEST 2020
1000 Vgl. frl:6419777
1000 Oai Id
  1. oai:frl.publisso.de:frl:6419777 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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