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Integrated Electroporated-Lysis Electrochemical Platform Enables Sensitive and Rapid EV Protein and miRNA Profiling Based on Multiplex-Responsive CRISPR/Cas12a

  • Rui Fan
  • , Yihang Tong
  • , Shihua Luo
  • , Yangfen He
  • , Chao Yang
  • , Wenbin Li
  • , Jieyan Liu
  • , Jiezhen Pan
  • , Yiping Zhu
  • , Xiaohe Zhang
  • , Junfang Zhu
  • , Yitong Zhu
  • , Yuhang Guo
  • , Ling Li
  • , Bo Situ*
  • , Xiaohui Yan*
  • , Wen Ma*
  • , Lingqian Chang*
  • , Ye Zhang*
  • *此作品的通讯作者
  • Nanfang Hospital of Southern Medical University
  • Guangdong Medical College
  • Beihang University
  • Affiliated Hospital of Youjiang Medical University for Nationalities
  • Guangzhou Medical College
  • Southern Medical University

科研成果: 期刊稿件文章同行评审

摘要

Proteins and miRNAs in extracellular vesicles (EVs) have emerged as crucial biomarkers for tumor diagnosis. While CRISPR/Cas12a-based platforms have shown great promise in nucleic acid and protein detection, their susceptibility to off-target activation and structural instability remains a significant limitation. Here, we have developed an electroporation-lysis electrochemical platform integrated with DNA cube-cage-locked CRISPR/Cas12a (DC-Cas12a), termed EL-DC-Cas12a. This platform utilizes an electric field to rapidly lyse EVs, releasing their internal proteins and miRNAs. These released molecules then activate the DC-Cas12a system, thereby triggering the displacement of two distinct crRNA/Cas12a complexes that correspond to EV proteins and miRNAs, respectively. These complexes then specifically recognize and cleave electrochemical probes, generating quantifiable electrochemical signals that enable synchronous and accurate analysis of the two biomarkers. The integrated workflow for EV lysis and detection can be completed within 40 min, greatly simplifying the overall operation. The detection limits (LOD) of this platform for EV PD-L1 protein and miR-1246 were 5.44 × 104 particles/mL and 3.59 × 103 particles/mL, respectively. Moreover, by applying machine learning algorithms to analyze the EV-associated proteins and miRNAs profiling, the platform demonstrated a diagnostic accuracy of 98.3% in distinguishing healthy donors from early-stage GC patients, and 99% in differentiating early-stage from advanced-stage GC patients in a clinical gastric cancer cohort. Therefore, the proposed platform offers a promising strategy for multiplexed detection of EV biomarkers and precise discrimination of GC.

源语言英语
文章编号e13331
期刊Small
22
13
DOI
出版状态已出版 - 3 3月 2026

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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