Skip to main navigation Skip to search Skip to main content

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*
  • *Corresponding author for this work
  • 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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article numbere13331
JournalSmall
Volume22
Issue number13
DOIs
StatePublished - 3 Mar 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • CRISPR/Cas12a
  • electroporated-lysis
  • extracellular vesicles
  • gastric cancer diagnosis
  • machine learning

Fingerprint

Dive into the research topics of 'Integrated Electroporated-Lysis Electrochemical Platform Enables Sensitive and Rapid EV Protein and miRNA Profiling Based on Multiplex-Responsive CRISPR/Cas12a'. Together they form a unique fingerprint.

Cite this