ArticleJournal of extracellular vesicles2020
Localized fluorescent imaging of multiple proteins on individual extracellular vesicles using rolling circle amplification for cancer diagnosis.
Article in Journal of extracellular vesicles, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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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.
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Who cites it
34 citing papers in PubMed, 93 citations in OpenAlex.
- iEVIP: a dual-inspired intelligent platform for smart response extracellular vesicle isolation and single-vesicle profiling.Nature communications · 2026Article
- A Bioinspired Three-Dimensional High-Curvature Nano-Interface Integrated Microfluidic Chip for Small Extracellular Vesicles Enrichment and Machine Learning-Assisted Prostate Cancer Precision Diagnosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Spatially resolved profiling of extracellular vesicles in tissues with Spatial-EV-seq.Nature biotechnology · 2026Article
- Size Enlargement Enabled Functional Profiling of Extracellular Vesicle at Single-Particle Level.Biosensors · 2026Article
- Extracellular Vesicles in Migraine: Biomarkers and Therapeutics.Molecular neurobiology · 2026Review
- Rolling Circle Amplification as a Molecular Tool for Spatially Resolved Signal Amplification in Single Molecule Counting Assay.Biosensors · 2025Review
- Tethered Catalytic Hairpin Assembly with Plasmon-Enhanced Fluorescence Readout for Single Molecule Detection.Small methods · 2025Article
- Simultaneous detection of membrane protein and mRNA at single extracellular vesicle level by droplet microfluidics for cancer diagnosis.Journal of advanced research · 2025Article
- Article
- Toward Clarity in Single Extracellular Vesicle Research: Defining the Field and Correcting Missteps.ACS nano · 2025Review
- [Progress and prospect of separation and analysis of single-cell and single-particle exosomes].Se pu = Chinese journal of chromatography · 2025Review
- Identification of blood-derived exosomal tumor RNA signatures as noninvasive diagnostic biomarkers for multi-cancer: a multi-phase, multi-center study.Molecular cancer · 2025Article
- A colorimetric nano-enzyme assay with Ni@Pt nanoparticles as signal labels for rapid and sensitive detection of exosomal Aβ42 in plasma.Mikrochimica acta · 2025Article
- Aggregation-Induced Emission Luminogen: Role in Biopsy for Precision Medicine.Chemical reviews · 2024Review
- Shedding Light on Cellular Secrets: A Review of Advanced Optical Biosensing Techniques for Detecting Extracellular Vesicles with a Special Focus on Cancer Diagnosis.ACS applied bio materials · 2024Review
- Recent advances in chemical biology tools for protein and RNA profiling of extracellular vesicles.RSC chemical biology · 2024Review
- Review
- Optical Imaging of Single Extracellular Vesicles: Recent Progress and Prospects.Chemical & biomedical imaging · 2024Review
- GLIPR2: a potential biomarker and therapeutic target unveiled - Insights from extensive pan-cancer analyses, with a spotlight on lung adenocarcinoma.Frontiers in immunology · 2024Article
- Extracellular vesicle-based liquid biopsy biomarkers and their application in precision immuno-oncology.Biomarker research · 2023Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extracellular vesicles (EV) have attracted increasing attention as tumour biomarkers due to their unique biological property. However, conventional methods for EV analysis are mainly based on bulk measurements, which masks the EV-to-EV heterogeneity in tumour diagnosis and classification. Herein, a localized fluorescent imaging method (termed Digital Profiling of Proteins on Individual EV, DPPIE) was developed for analysis of multiple proteins on individual EV. In this assay, an anti-CD9 antibody engineered biochip was used to capture EV from clinical plasma sample. Then the captured EV was specifically recognized by multiple DNA aptamers (CD63/EpCAM/MUC1), followed by rolling circle amplification to generate localized fluorescent signals. By-analyzing the heterogeneity of individual EV, we found that the high-dimensional data collected from each individual EV would provide more precise information than bulk measurement (ELISA) and the percent of CD63/EpCAM/MUC1-triple-positive EV in breast cancer patients was significantly higher than that of healthy donors, and this method can achieve an overall accuracy of 91%. Moreover, using DPPIE, we are able to distinguish the EV between lung adenocarcinoma and lung squamous carcinoma patients. This individual EV heterogeneity analysis strategy provides a new way for digging more information on EV to achieve multi-cancer diagnosis and classification.
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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.