ArticleScientific reports2016
Detecting individual extracellular vesicles using a multicolor in situ proximity ligation assay with flow cytometric readout.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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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
31 citing papers in PubMed.
- Unveiling Heterogeneity: Innovations and Challenges in Single-Vesicle Analysis for Clinical Translation.Journal of extracellular vesicles · 2025Article
- Proximity Ligation Assay: From a Foundational Principle to a Versatile Platform for Molecular and Translational Research.Biomolecules · 2025Review
- Proximity sequencing for the detection of mRNA, extracellular proteins and extracellular protein complexes in single cells.Nature protocols · 2024Article
- Fibroblast-derived extracellular vesicles contain SFRP1 and mediate pulmonary fibrosis.JCI insight · 2024Article
- Before Translating Extracellular Vesicles into Personalized Diagnostics and Therapeutics: What We Could Do.Molecular pharmaceutics · 2024Review
- Nanoprojectile Secondary Ion Mass Spectrometry Enables Multiplexed Analysis of Individual Hepatic Extracellular Vesicles.ACS nano · 2023Article
- CD63-Snorkel tagging for isolation of exosomes.Extracellular vesicle · 2023Article
- Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Dual Imaging Single Vesicle Surface Protein Profiling and Early Cancer Detection.ACS applied materials & interfaces · 2023Article
- Surface protein profiling of prostate-derived extracellular vesicles by mass spectrometry and proximity assays.Communications biology · 2022Article
- Characterizing single extracellular vesicles by droplet barcode sequencing for protein analysis.Journal of extracellular vesicles · 2022Article
- Future of Digital Assays to Resolve Clinical Heterogeneity of Single Extracellular Vesicles.ACS nano · 2022Review
- Sensitive Protein Detection Using Site-Specifically Oligonucleotide-Conjugated Nanobodies.Analytical chemistry · 2022Article
- Review
- Multiplexed Profiling of Extracellular Vesicles for Biomarker Development.Nano-micro letters · 2021Review
- Advances in microfluidic extracellular vesicle analysis for cancer diagnostics.Lab on a chip · 2021Review
- Review
- Accurate detection of Newcastle disease virus using proximity-dependent DNA aptamer ligation assays.FEBS open bio · 2021Article
- Article
- Bead-Based Extracellular Vesicle Analysis Using Flow Cytometry.Advanced biosystems · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Flow cytometry is a powerful method for quantitative and qualitative analysis of individual cells. However, flow cytometric analysis of extracellular vesicles (EVs), and the proteins present on their surfaces has been hampered by the small size of the EVs - in particular for the smallest EVs, which can be as little as 40 nm in diameter, the limited number of antigens present, and their low refractive index. We addressed these limitations for detection and characterization of EV by flow cytometry through the use of multiplex and multicolor in situ proximity ligation assays (in situ PLA), allowing each detected EV to be easily recorded over background noise using a conventional flow cytometer. By targeting sets of proteins on the surface that are specific for distinct classes of EVs, the method allows for selective recognition of populations of EVs in samples containing more than one type of EVs. The method presented herein opens up for analyses of EVs using flow cytometry for their characterization and quantification.
Identifiers
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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.