ArticleAdvanced healthcare materials2023
Assessing Extracellular Vesicles in Human Biofluids Using Flow-Based Analyzers.
Article in Advanced healthcare materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed.
- Sex differences in urinary extracellular vesicles originating from the genitourinary system in health and disease.American journal of physiology. Renal physiology · 2026Review
- Bacterial extracellular vesicles promote membrane repair and tolerance to polymyxin B.Science advances · 2026Article
- Comparison of light scattering-based detection methods for the sizing and number density characterization of extracellular vesicles (EV) isolated from human embryonic kidney (HEK) cell cultures.Analytical and bioanalytical chemistry · 2026Article
- circOMA1 delivered by exosomes regulates DRD2‑mediated prolactinoma resistance.International journal of molecular medicine · 2026Article
- Evaluating Variability in Extracellular Vesicle Characterization Across Measurement Techniques.Journal of extracellular biology · 2026Article
- Normalization strategies for protein quantification in plasma astrocyte-derived extracellular vesicles: a clinical applicability study.BMC psychiatry · 2026Article
- Quantification of EV-associated miRNA in liquid biopsies for biomarker signature development.Extracellular vesicles and circulating nucleic acids · 2026Review
- Longitudinal changes in the phenotypic profile of circulating extracellular vesicles in healthy individuals.Frontiers in cell and developmental biology · 2026Article
- Engineering Small Extracellular Vesicles for Colon-Targeted Delivery: Microenvironment-Responsive Design, Therapeutic Mechanisms, and Clinical Translation.International journal of nanomedicine · 2026Review
- Human Blood Exosomes: Isolation and Characterization Methods, Variability, and the Need for Standardized Protocols-A Review.Biomedicines · 2025Review
- Clinical relevance of extracellular vesicles in cancer - therapeutic and diagnostic potential.Nature reviews. Clinical oncology · 2025Review
- Multi-omics identify hallmark protein and lipid features of small extracellular vesicles circulating in human plasma.Nature cell biology · 2025Article
- Extracellular Vesicles From Multiple Sclerosis White Matter Exhibit Synaptic, Mitochondrial, Complement and Ageing-Related Pathway Dysregulation.Journal of extracellular vesicles · 2025Article
- B cell extracellular vesicles influence melanoma response to immune checkpoint therapy.Science advances · 2025Article
- Toward Clarity in Single Extracellular Vesicle Research: Defining the Field and Correcting Missteps.ACS nano · 2025Review
- Revisiting the Nanoflow Cytometric Quantification of Extracellular Vesicles Under the Framework of ICH Q14 Guidelines.Journal of extracellular biology · 2025Article
- Affinity-Based Isolation and One-Pot Analysis of Extracellular Vesicles from Biofluids Using Phase Separated Zwitterionic Coacervates.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Nanoscopic Profiling of Small Extracellular Vesicles via High-Speed Atomic Force Microscopy (HS-AFM) Videography.Journal of extracellular vesicles · 2025Article
- Self-Sustained Biophotocatalytic Nano-Organelle Reactors with Programmable DNA Switches for Combating Tumor Metastasis.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Applications of machine learning-assisted extracellular vesicles analysis technology in tumor diagnosis.Computational and structural biotechnology journal · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Extracellular vesicles (EVs) are increasingly being analyzed by flow cytometry. Yet their minuscule size and low refractive index cause the scatter intensity of most EVs to fall below the detection limit of most flow cytometers. A new class of devices, known as spectral flow analyzers, are becoming standards in cell phenotyping studies, largely due to their unique capacity to detect a vast panel of markers with higher sensitivity for light scatter detection. Another class of devices, known as nano-analyzers, provides high-resolution detection of sub-micron-sized particles. Here, the EV phenotyping performance between the Aurora (Cytek) spectral cell analyzer and the NanoFCM (nFCM) nanoflow analyzer are compared. These two devices are specifically chosen given their lead in becoming gold standards in their respective fields. Immune cell-derived EVs remain poorly characterized despite their clinical potential. Therefore, B- and T-cell line-derived EVs and donor-matched human biofluid-derived EVs from plasma, urine, and saliva are used in combination with a panel of established immune markers for this comparative study. A comparative evaluation of both cytometry platforms is performed, discussing their potential and suitability for different applications. It is found that nFCM can accurately i) analyze small EVs (40-200 nm) matching the size accuracy of electron microscopy; ii) measure the concentration of a single EV particle per volume; iii) identify underrepresented EV marker subsets; and iv) provide co-localization of EV surface markers. It can also be shown that human sample biofluids have unique EV marker signatures that can have future clinical relevance. Finally, nFCM and Aurora have their unique strength, preferred fashion of data acquisition, and visualization to fit different research interests.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.