Evidence map›Paper›PMID 40804235›Full record

ArticleNature communications2025

Single extracellular vesicle imaging via rolling circle amplification-expansion microscopy.

Jiacheng Wu, Quanhao Dou, Miao Mao, Xin Wan, Minhao Wu, Tony Y Hu, Yuanqing Zhang

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jiacheng WuState Key Laboratory of Anti-Infective Drug Discovery and Development; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0009-0006-8683-7531
Quanhao DouState Key Laboratory of Anti-Infective Drug Discovery and Development; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Miao MaoState Key Laboratory of Anti-Infective Drug Discovery and Development; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Xin WanState Key Laboratory of Anti-Infective Drug Discovery and Development; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Minhao WuZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China. wuminhao@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-8711-868X
Tony Y HuCenter of Cellular and Molecular Diagnosis, Tulane University School of Medicine, New Orleans, LA, USA. tonyhu@tulane.edu.ORCID http://orcid.org/0000-0001-7255-5409
Yuanqing ZhangState Key Laboratory of Anti-Infective Drug Discovery and Development; School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China. zhangyq65@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-8761-5328

Funding

Digital Nanoplasmonic Quantification of Tumor-derived Extracellular Vesicles in Plasma MicrosamplesU01CA252965 · NCI · TULANE UNIVERSITY OF LOUISIANA · PI HU, TONY Y., LU, HUA · 2020 to 2024
$3.0M
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) U01CA252965National Natural Science Foundation of China (National Science Foundation of China) 31970893National Natural Science Foundation of China (National Science Foundation of China) 82072087Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2024A1515011932Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2025A1515010007NCI NIH HHS U01 CA252965
6 · The paper itself

Abstract

Extracellular vesicles (EVs) from biological fluids can provide critical information for minimally invasive diagnostics and treatment monitoring, but their nanoscale size, low biomarker abundance, and heterogeneity pose challenges. Here, we integrate rolling circle amplification with expansion microscopy (RCA-ExM) to achieve super-resolution multi-omics profiling of single EVs using conventional fluorescence microscopy. Sensitive multimodal biomarker detection is achieved by employing RCA to detect switch hairpin probe-labeled EV membrane proteins, and EV-liposome fusion to detect EV miRNAs via delivery of specific molecular beacons and a signal-amplifying enzyme circuit. Next, hydrogel-mediated expansion is employed to enlarge the fused EVs to permit single-EV detections. RCA-ExM quantitation of miRNA-21 levels in EpCAM

Indexed as

Extracellular VesiclesNucleic Acid Amplification TechniquesBiomarkers, TumorCell Line, TumorEpithelial Cell Adhesion MoleculeHumansMicroRNAsMicroscopy, FluorescenceNeoplasmsBiomarkers, TumorEpithelial Cell Adhesion MoleculeMicroRNAsMIRN21 microRNA, human

Identifiers

PMID40804235
PMCPMC12350614

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.