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Divalent aptamer-mediated clustering for extracellular vesicle separation
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  • Open access
  • Published: 23 May 2026

Divalent aptamer-mediated clustering for extracellular vesicle separation

  • Xiaoling Liu  (刘晓玲)1 na1,
  • Taiyi Zhang  (张太毅)1 na1,
  • Qi Zhang  (张奇)1,
  • Biying Yan  (鄢碧莹)1,
  • Bin Liu  (刘斌)2 &
  • …
  • Yaxuan Liang  (梁雅轩)  ORCID: orcid.org/0000-0003-2729-51711,3,4 

Communications Biology (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biochemistry
  • Nanoparticles

Abstract

Extracellular vesicles (EVs) are important mediators of intercellular communication and promising sources of diagnostic and therapeutic biomarkers, yet effective EV isolation remains challenging due to trade-offs among yield, purity, and adaptability across biofluids. Here, we introduce divalent aptamer-mediated clustering (DAC), a streamlined affinity-based EV isolation strategy that induces controllable vesicle clustering and enables recovery by standard filtration. By exploiting multivalent aptamer binding to EV surface markers, DAC converts nanoscale vesicles into micron-scale clusters while preserving EV integrity and biological activity. We demonstrate robust EV isolation from plasma, urine, and cell culture media, and benchmark DAC against ultracentrifugation, density gradient ultracentrifugation, and size-exclusion chromatography. DAC achieves comparable or improved EV yield and purity with reduced processing time, cost, and operational complexity. Proteomic and metabolomic analyses show that DAC isolates affinity-defined EV subpopulations with cargo profiles distinct from those obtained using conventional methods. Moreover, DAC is readily adapted to alternative EV targets, exemplified by enrichment of EpCAM-positive EVs. Together, DAC provides a versatile and accessible platform for studying EV heterogeneity, function, and molecular composition.

Acknowledgements

The authors would like to express their gratitude to Professor Jinghui Wang for her invaluable support in coordinating the project and making its execution possible. We also thank Professor Guirong Wang for her generous assistance with clinical sample collection and transportation. Our appreciation extends to Dr. Wei Wang, Dr. Yu Liu, and Dr. Jinyuan Hu for their insightful advice on DAC modeling and computational simulations. This work was further supported by the instrumentation and technical expertise provided by Dr. Jiachang Huang and by the Instrumentation and Service Center for Science and Technology at Beijing Normal University.

Funding

The work was supported, in whole or in part, by the Guangdong Basic and Applied Basic Research Foundation (2025A1515011134) to Y.L. and by the Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research Institutes (PWD&RPP-MRI, Grant Number JYY2023-14) to B.L.

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Author notes
  1. These authors contributed equally: Xiaoling Liu, Taiyi Zhang.

Authors and Affiliations

  1. Department of Biology, Faculty of Arts and Sciences, Beijing Normal University at Zhuhai, Zhuhai, China

    Xiaoling Liu  (刘晓玲), Taiyi Zhang  (张太毅), Qi Zhang  (张奇), Biying Yan  (鄢碧莹) & Yaxuan Liang  (梁雅轩)

  2. Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China

    Bin Liu  (刘斌)

  3. Guangdong Institute of Intelligence Science and Technology, Zhuhai, China

    Yaxuan Liang  (梁雅轩)

  4. Center for Biological Science and Technology, Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, Zhuhai-Macao Biotechnology Joint Laboratory, Beijing Normal University at Zhuhai, Zhuhai, China

    Yaxuan Liang  (梁雅轩)

Authors
  1. Xiaoling Liu  (刘晓玲)
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  2. Taiyi Zhang  (张太毅)
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  3. Qi Zhang  (张奇)
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  4. Biying Yan  (鄢碧莹)
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  5. Bin Liu  (刘斌)
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  6. Yaxuan Liang  (梁雅轩)
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Corresponding authors

Correspondence to Bin Liu  (刘斌) or Yaxuan Liang  (梁雅轩).

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Cite this article

Liu, X., Zhang, T., Zhang, Q. et al. Divalent aptamer-mediated clustering for extracellular vesicle separation. Commun Biol (2026). https://doi.org/10.1038/s42003-026-10339-0

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  • Received: 30 September 2025

  • Accepted: 14 May 2026

  • Published: 23 May 2026

  • DOI: https://doi.org/10.1038/s42003-026-10339-0

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