ReviewNature protocols2021
Using single-vesicle technologies to unravel the heterogeneity of extracellular vesicles.
Review in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 166 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
166 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A critical systematic review of extracellular vesicle clinical trials.Journal of extracellular vesicles · 2024Pooled it
- Artificial intelligence and extracellular vesicles in oncology: towards tumor diagnosis, prediction, and therapy.Drug delivery · 2026Review
- Towards a systematic understanding of the diverse subtypes, biogenesis and functions of large extracellular vesicles.Nature reviews. Molecular cell biology · 2026Review
- Microglia-derived extracellular vesicle content as a biomarker for early detection of Alzheimer's disease.Translational neurodegeneration · 2026Review
- Extracellular vesicles in breast cancer metastasis: functional insights and advances in single-EV analysis.Cancer metastasis reviews · 2026Review
- iEVIP: a dual-inspired intelligent platform for smart response extracellular vesicle isolation and single-vesicle profiling.Nature communications · 2026Article
- Orthogonal DNA barcoding enables subpopulation-resolved extracellular vesicle miRNA profiling.Science advances · 2026Article
- Extracellular Vesicle-Derived MicroRNAs as Early Diagnostic Biomarkers of Diabetic Nephropathy and Cardiovascular Diseases in Type 2 Diabetes.International journal of molecular sciences · 2026Review
- Extracellular vesicle and particle biomarkers in cancer: a machine learning blueprint for liquid biopsy.Journal of nanobiotechnology · 2026Review
- SPECTRA-based Detection of Drug-Induced Hepatotoxicity through Extracellular Vesicle Analysis.Sensors and actuators. B, Chemical · 2026Article
- State-of-the-Art and Next Generation Intra-Articular Implantable Biosensors for Osteoarthritis: From Analytical Limits to Operational Stability.Biosensors · 2026Review
- Quality Evaluation Considerations for Stem Cell-Derived Extracellular Vesicles-Based Therapeutic Products in China.Journal of extracellular vesicles · 2026Review
- Biology and therapeutic potential of extracellular vesicle targeting and uptake.Nature reviews. Molecular cell biology · 2026Review
- Unlocking beta cell health: The clinical potential of extracellular vesicles in type 1 diabetes.Clinical and translational medicine · 2026Review
- Multifactor authentication in extracellular vesicle analysis: methods and approaches to address the heterogeneity problem.Nature methods · 2026Review
- Article
- Simple and rapid profiling of tumor EVs for differential diagnosis of NSCLC via orthogonal barcode-driven CRISPR/Cas12a.Journal of nanobiotechnology · 2026Article
- Size Enlargement Enabled Functional Profiling of Extracellular Vesicle at Single-Particle Level.Biosensors · 2026Article
- Rapid trapping and label-free optical characterization of single nanoscale extracellular vesicles and nanoparticles in solution.Light, science & applications · 2026Article
- Labeling, isolation and characterization of cell-type-specific exosomes derived from mouse skin tissue.Nature protocols · 2026Review
106 more citing papers are in PubMed but not listed here.
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.
Funding
Abstract
Extracellular vesicles (EVs) are heterogeneous lipid containers with a complex molecular cargo comprising several populations with unique roles in biological processes. These vesicles are closely associated with specific physiological features, which makes them invaluable in the detection and monitoring of various diseases. EVs play a key role in pathophysiological processes by actively triggering genetic or metabolic responses. However, the heterogeneity of their structure and composition hinders their application in medical diagnosis and therapies. This diversity makes it difficult to establish their exact physiological roles, and the functions and composition of different EV (sub)populations. Ensemble averaging approaches currently employed for EV characterization, such as western blotting or 'omics' technologies, tend to obscure rather than reveal these heterogeneities. Recent developments in single-vesicle analysis have made it possible to overcome these limitations and have facilitated the development of practical clinical applications. In this review, we discuss the benefits and challenges inherent to the current methods for the analysis of single vesicles and review the contribution of these approaches to the understanding of EV biology. We describe the contributions of these recent technological advances to the characterization and phenotyping of EVs, examination of the role of EVs in cell-to-cell communication pathways and the identification and validation of EVs as disease biomarkers. Finally, we discuss the potential of innovative single-vesicle imaging and analysis methodologies using microfluidic devices, which promise to deliver rapid and effective basic and practical applications for minimally invasive prognosis systems.
Indexed as
Identifiers
34135505What OpenQuestion holds
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.