Simple and Rapid Tumor EV Enrichment Enabled by Long DNA Probe-Guided Entanglement.

Journal: Angewandte Chemie (International ed. in English)
Published Date:

Abstract

Specific subpopulations of extracellular vesicles (EVs) hold significant clinical potential for biomarker discovery, disease diagnosis, and therapeutic agents. However, this field remains underutilized due to the lack of straightforward and versatile techniques for isolating EV subpopulations from biofluids. Here, we present LODGE, a long DNA probe-guided EV entanglement strategy for the simple, rapid, and selective enrichment of tumor-derived EVs (tEVs) from clinical specimens. LODGE uses two long DNA affinity probes to recognize specific subpopulations, causing them to aggregate with the assistance of splint strands, thereby achieving nondestructive, high-yield, and high-purity separation of tEVs within a short period. Proteomic analysis revealed that the isolated tEVs contributed to the identification of tumor-associated biomarkers compared to total EVs. Additionally, by incorporating a split G-quadruplex-containing molecular trap domain, a novel structure that significantly improves the fluorescence emission of thioflavin T (ThT), into DNA affinity probes, we developed an innovative LODGE-ThT sensing strategy for the highly sensitive profiling of multiple tEV subpopulations. Using data from the tEVs alongside clinical indicators processed with machine learning algorithms, we effectively classified five tumor types. Our results show that LODGE is a promising tool for identifying specific EV subpopulations, and fostering their biomedical applications.

Authors

  • Yuanjie Liu
    Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China.
  • Yunpeng Fan
    Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China.
  • Xiaoqiang Li
    Department of Vascular Surgery, Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, China. Electronic address: SuzhouXQL@163.com.
  • Gang Tian
    Department of Laboratory Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China.
  • Bo Shen
    School of Information Science and Technology, Donghua University, Shanghai 200051, China. Electronic address: Bo.Shen@dhu.edu.cn.
  • Menghan Li
    National Engineering Research Centre for Agri-Product Quality Traceability, Beijing Technology and Business University, Beijing 100048, China.
  • Kai Su
    Department of Oral and Maxillofacial Surgery, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangdong Province Key Laboratory of Stomatology, Guangzhou, Guangdong, China.
  • Xuhuai Fu
    Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China.
  • Mengxuan Zhang
    Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China.
  • Yonghong Wang
    State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 130 Meilong Road, P.O. Box 329, Shanghai, 20037, China. yhwang@ecust.edu.cn.
  • Xinyu Li
    School of Pharmacy, Binzhou Medical University, Yantai, China.
  • Xinmin Li
    Department of Clinical Laboratory, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
  • Shijia Ding
    Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China.