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June 4, 2026Journal of Extracellular Biology0 citationsOpen Access

Evaluating Variability in Extracellular Vesicle Characterization Across Measurement Techniques

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PSPremanshu K. SinghAUAli F. UsmaniDHDebmalya Halder

Key Points

  • The study aims to assess the variability in the characterization of extracellular vesicles (EVs) across various measurement techniques.
  • EVs isolated from dedifferentiated liposarcoma-conditioned media and healthy donor urine using ultracentrifugation.
  • Physical characterization and surface tetraspanin profiling performed using NanoFCM, CytoFLEX Nano, and ZetaView Evolution.
  • Quantification of EV-associated DNA using two different methods.
  • All platforms detected small EVs, but showed variations in absolute size distributions and particle concentrations.
  • Tetraspanin expression levels differed due to variability in optical configuration and detection principles.
  • DNA yield and quantity varied significantly across the different quantification methods.

Abstract

ABSTRACT Reliable, reproducible, and standardized characterization of extracellular vesicles (EVs) remains a central challenge due to methodological variability across analytical platforms and intrinsic EV heterogeneity within and across biofluids. Here, we evaluated EVs isolated using ultracentrifugation from dedifferentiated liposarcoma‐conditioned media and commercially available healthy donor urine. Physical characterization and surface tetraspanin profiling of isolated EVs were performed using three widely used instruments: NanoFCM, CytoFLEX Nano, and ZetaView Evolution. All platforms consistently detected small EVs; however, absolute size distributions, particle concentrations, and tetraspanin expression levels varied, reflecting differences in optical configuration, detection principles, and fluorescence background sensitivity. Additionally, EV‐associated DNA was quantified using two different methods, revealing further variability in both the DNA yield and quantity. Together, the observations highlight the method‐dependent nature of EV analyses and underscore the importance of carefully considering instrument‐specific metrics for interpreting EV data across biofluids.

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Cite This Study

Singh et al. (2026) studied this question.

synapsesocial.com/papers/6a21164cd499ed480b16f407https://doi.org/10.1002/jex2.70154
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