ArticleScientific reports2020
Impact of isolation methods on the biophysical heterogeneity of single extracellular vesicles.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.
- A critical systematic review of extracellular vesicle clinical trials.Journal of extracellular vesicles · 2024Pooled it
- Orchestrating the metastatic symphony: the role of extracellular vesicles in the epithelial-mesenchymal transition and pulmonary niche formation of breast cancer.Biological reviews of the Cambridge Philosophical Society · 2026Review
- High-throughput single-vesicle imaging platform for direct extracellular vesicle profiling of human plasma.Nature communications · 2026Article
- The role of small extracellular vesicles in ovarian cancer drug resistance: from bench clues to clinical implications.Journal of ovarian research · 2026Review
- Unlocking the power of extracellular vesicles: multi-omics integration for cancer biomarker discovery.Biomarker research · 2026Review
- Heterogeneity and Clinical Translation of Cardiac-Derived Extracellular Vesicles in Heart Failure: From Mechanisms to Precision Therapeutics.Reviews in cardiovascular medicine · 2026Review
- Collagen binding properties separate two functionally distinct subpopulations of milk extracellular vesicles regarding bone regenerative capacity.Materials today. Bio · 2025Article
- A 96-Well Ultrafiltration Approach for the High-Throughput Proteome Analysis of Extracellular Vesicles Isolated From Conditioned Medium.Journal of extracellular vesicles · 2025Article
- Isolation of In Vitro Osteoblastic-Derived Matrix Vesicles by Ultracentrifugation and Cell-Free Mineralization Assay.Bio-protocol · 2025Article
- Review
- Review
- Harnessing extracellular vesicle heterogeneity for diagnostic and therapeutic applications.Nature nanotechnology · 2025Review
- Extracellular Vesicles: Advanced Tools for Disease Diagnosis, Monitoring, and Therapies.International journal of molecular sciences · 2024Review
- Mechanisms of extracellular vesicle uptake and implications for the design of cancer therapeutics.Journal of extracellular biology · 2024Review
- Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches.Journal of extracellular vesicles · 2024Article
- RegiSTORM: channel registration for multi-color stochastic optical reconstruction microscopy.BMC bioinformatics · 2023Article
- Assessment of anti-inflammatory bioactivity of extracellular vesicles is susceptible to error via media component contamination.Cytotherapy · 2023Article
- A standardized method for plasma extracellular vesicle isolation and size distribution analysis.PloS one · 2023Article
- Recent developments in biosensing methods for extracellular vesicle protein characterization.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2023Review
- Isolation and characterization of extracellular vesicles and future directions in diagnosis and therapy.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Extracellular vesicles (EVs) have raised high expectations as a novel class of diagnostics and therapeutics. However, variabilities in EV isolation methods and the unresolved structural complexity of these biological-nanoparticles (sub-100 nm) necessitate rigorous biophysical characterization of single EVs. Here, using atomic force microscopy (AFM) in conjunction with direct stochastic optical reconstruction microscopy (dSTORM), micro-fluidic resistive pore sizing (MRPS), and multi-angle light scattering (MALS) techniques, we compared the size, structure and unique surface properties of breast cancer cell-derived small EVs (sEV) obtained using four different isolation methods. AFM and dSTORM particle size distributions showed coherent unimodal and bimodal particle size populations isolated via centrifugation and immune-affinity methods respectively. More importantly, AFM imaging revealed striking differences in sEV nanoscale morphology, surface nano-roughness, and relative abundance of non-vesicles among different isolation methods. Precipitation-based isolation method exhibited the highest particle counts, yet nanoscale imaging revealed the additional presence of aggregates and polymeric residues. Together, our findings demonstrate the significance of orthogonal label-free surface characteristics of single sEVs, not discernable via conventional particle sizing and counts alone. Quantifying key nanoscale structural characteristics of sEVs, collectively termed 'EV-nano-metrics' enhances the understanding of the complexity and heterogeneity of sEV isolates, with broad implications for EV-analyte based research and clinical use.
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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.