{"title":"Ultrasensitive Quantification of microRNA Copy Number in Individual Extracellular Vesicles Using DNA Tetrahedron-Based Single-Molecule Imaging","authors":"Weifeng Liu, Hongwei Yang, Xiaolong Liu, Heqi Cai, Yuting Bao, Yifei Jiang, Wei Zhou, Jinghe Yuan, Zhen Zhang, Xiaohong Fang","doi":"10.1021/acs.analchem.4c07068","DOIUrl":null,"url":null,"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.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"55 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.4c07068","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
摘要
对细胞外囊泡 (EV) 中的微RNA(miRNA)进行超灵敏检测,可以准确反映miRNA介导的细胞间通讯的进展和转移情况,为液体活检提供了前所未有的机会。然而,由于miRNA在EVs中的低丰度和高异质性,超灵敏定量和建立miRNA在原生EVs中的分布模型仍然具有挑战性。在这里,我们开发了一种基于 DNA 四面体的单分子荧光成像策略来克服这一挑战。探针的内化效率高达70%,且不会破坏EVs的原生结构,结合单分子荧光成像,我们首次实现了单个EVs中单拷贝miRNA的原位成像分析,而无需扩增。通过统计分析多个细胞系 EV 中 miRNA 的拷贝数,我们发现了一种新的 miRNA 分布模型,其特点是低占有率和异质性分布。更重要的是,我们发现耐药癌细胞会促进 EVs 中耐药相关 miRNA 数量的增加,而 EVs 分泌的数量并没有相应增加,这为我们了解 EV miRNA 的分选机制提供了新的视角。我们预计,这项技术将迅速推动基于 EVs 的 miRNA 介导的细胞间通信。
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.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.