A compendium of single extracellular vesicle flow cytometry
National Institutes of Health · National Cancer Institute · +25 more institutions
Abstract
Flow cytometry (FCM) offers a multiparametric technology capable of characterizing single extracellular vesicles (EVs). However, most flow cytometers are designed to detect cells, which are larger than EVs. Whereas cells exceed the background noise, signals originating from EVs partly overlap with the background noise, thereby making EVs more difficult to detect than cells. This technical mismatch together with complexity of EV-containing fluids causes limitations and challenges with conducting, interpreting and reproducing EV FCM experiments. To address and overcome these challenges, researchers from the International Society for Extracellular Vesicles (ISEV), International Society for Advancement of…
Citation impact
- FWCI
- 32.60
- Percentile
- 100%
- References
- 183
Authors
24- JAJoshua A WelshCorresponding
National Institutes of Health, National Cancer Institute, Center for Cancer Research
- GJGer J. A. Arkesteijn
University of Applied Sciences Utrecht, Utrecht University
- MBMichel Bremer
University of Duisburg-Essen
- MCMichael Cimorelli
Amsterdam University Medical Centers, Drexel University
- FDFrançoise Dignat‐George
Inserm, Aix-Marseille Université, Assistance Publique Hôpitaux de Marseille, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Hôpital de la Conception
Topics & keywords
- Compendium
- Extracellular vesicles
- Flow cytometry
- Cytometry
- Computer science
- Extracellular vesicle
- Reproducibility
- Analyte
Funding
- NSNational Science FoundationAward: BC011502
- ECEuropean CommissionAwards: 722148, 2019-2023
- ANAgence Nationale de la Recherche
- NNNational Natural Science Foundation of ChinaAwards: 21627811, 21934004, 2018-2023
- NINational Institutes of HealthAwards: ZIA BC011502, 2019-2023, TR002881
- NCNational Cancer InstituteAward: ZIA BC011502
- EMEuropean Metrology Programme for Innovation and ResearchAward: 18HLT01