Ultrasensitive Quantification of microRNA Copy Number in Individual Extracellular Vesicles Using DNA Tetrahedron-Based Single-Molecule Imaging

The ultrasensitive detection of microRNAs (miRNAs) in extracellular vesicles (EVs) can accurately reflect the progress and metastasis of miRNA-mediated intercellular communication, providing an unprecedented opportunity for liquid biopsy. However, due to the low abundance and high heterogeneity of miRNAs in EVs, the ultrasensitive quantification and establishment of a distribution model for miRNA within native EVs remain challenging. Here, we have developed a DNA tetrahedron-based single-molecule fluorescence imaging strategy to overcome this challenge. The internalization efficiency of the probe was as high as 70% without disrupting the native structure of EVs, and combined with single-molecule fluorescence imaging, we achieved in situ imaging analysis of single-copy miRNA in individual EVs without amplification for the first time. A new distribution model for miRNAs has been revealed by statistical analysis of the copy number of miRNAs in EVs across multiple cell lines, characterized by low occupancy and a heterogeneous distribution. More importantly, we found that drug resistance cancer cells promote an increase in the number of drug resistance-related miRNAs within EVs without a corresponding increase in the number of EVs secreted, providing new insights into the EV miRNA sorting mechanisms. We anticipate that this technology will rapidly advance miRNA-mediated intercellular communication based on EVs.

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Publication Details

Journal
Analytical Chemistry
Published
2025-02-12
DOI
https://doi.org/10.1021/acs.analchem.4c07068
Citations
8
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
6.45

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article

Ultrasensitive Quantification of microRNA Copy Number in Individual Extracellular Vesicles Using DNA Tetrahedron-Based Single-Molecule Imaging

Jinghe Yuan, Hongbo Cai, Yifei Jiang, Xiaohong Fang et al.
8 citations
Analytical Chemistry
Extracellular vesicles in disease
6.45
article

Ultrasensitive Quantification of microRNA Copy Number in Individual Extracellular Vesicles Using DNA Tetrahedron-Based Single-Molecule Imaging

Jinghe Yuan, Hongbo Cai, Yifei Jiang, Xiaohong Fang, Hongwei Yang, Xiaolong Liu, Weifeng Liu, Zhen Zhang, Yuting Bao, Wei Zhou
article en
8 citations

Abstract

The ultrasensitive detection of microRNAs (miRNAs) in extracellular vesicles (EVs) can accurately reflect the progress and metastasis of miRNA-mediated intercellular communication, providing an unprecedented opportunity for liquid biopsy. However, due to the low abundance and high heterogeneity of miRNAs in EVs, the ultrasensitive quantification and establishment of a distribution model for miRNA within native EVs remain challenging. Here, we have developed a DNA tetrahedron-based single-molecule fluorescence imaging strategy to overcome this challenge. The internalization efficiency of the probe was as high as 70% without disrupting the native structure of EVs, and combined with single-molecule fluorescence imaging, we achieved in situ imaging analysis of single-copy miRNA in individual EVs without amplification for the first time. A new distribution model for miRNAs has been revealed by statistical analysis of the copy number of miRNAs in EVs across multiple cell lines, characterized by low occupancy and a heterogeneous distribution. More importantly, we found that drug resistance cancer cells promote an increase in the number of drug resistance-related miRNAs within EVs without a corresponding increase in the number of EVs secreted, providing new insights into the EV miRNA sorting mechanisms. We anticipate that this technology will rapidly advance miRNA-mediated intercellular communication based on EVs.

Analytical ChemistryVol. 97(7)
Chinese Academy of Sciences (CN), Technical Institute of Physics and Chemistry (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, National Key Research and Development Program of China
Openalex Percentile: Top 3%
Extracellular vesicles in disease
6.45
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