ArticleInternational journal of molecular sciences2025
Comprehensive Characterisation of Extracellular Vesicle Preparations Using Multiparametric Size-Exclusion Chromatography.
Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Production and Purification of Mesenchymal Stem Cell-Derived Extracellular Vesicles Using Preferential Exclusion Chromatography.Electrophoresis · 2026Article
- Conditioned Media-Derived Tumor Extracellular Vesicles: Bridging Molecular Insights and Therapeutic Applications in Oncology.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
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Authors and funding
8 authors.
Funding
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Abstract
Extracellular vesicles (EVs) hold great promise in the fields of diagnostics and therapeutics. However, the heterogeneity of these membrane-enclosed messengers and the complexity of the biological samples in which they occur pose significant research challenges. The aim of this study was to improve the reliability of size-exclusion chromatography (SEC) and immunolabelling as common approaches in the EV field, and to provide a comprehensive characterisation tool for diverse EV preparations. Profiling of SEC-separated sample components was conducted through light absorbance, fluorescence, and light scattering, providing insights into particle content, size, protein content, and specific markers. Key considerations for assay robustness, including SEC mobile phase composition and immunostaining parameters, were addressed. Respecting the importance of controlled immunolabelling and preanalytical factors, the method efficiently reveals changes in the sample profile with respect to particles and small impurities. The detailed analytical capabilities and method adaptability offer a practical way to enhance the efficiency of EV research and applications.
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Registered trials
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