Spatially Resolved Sequential Activation of Allosteric DNA for In Vivo Dual-Target Detection within Mitochondria: A

Jingzhe Zang1, Yingyu Zhang2, Kangbo Liu3

  • 1Health Commission of Henan Province Key Laboratory for Precision Diagnosis and Treatment of Pediatric Tumor, Henan Key Laboratory of Genetic and Developmental Disorders, Henan International Joint Laboratory for Prevention and Treatment of Pediatric Disease, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, China.

ACS Sensors
|February 11, 2026
PubMed

Insights

This study introduces AP-miR-tFNA, a novel DNA nanomachine for detecting apurinic/apyrimidinic endonuclease 1 (APE1) and miR-514a in neuroblastoma (NB) mitochondria. It enables in vivo monitoring of drug resistance and NB risk stratification.

Area of Science:

  • Biomedical Engineering
  • Molecular Oncology
  • Nanotechnology

Background:

  • Drug resistance in neuroblastoma (NB) is linked to overexpression of apurinic/apyrimidinic endonuclease 1 (APE1) and miR-514a.
  • Mitochondrial pathways and dysregulated microRNAs (miRNAs) are critical in tumor chemotherapy resistance.

Purpose of the Study:

  • To develop a novel system for in vivo detection of APE1 and miR-514a within mitochondria in neuroblastoma.
  • To create a tool for molecular imaging and monitoring of drug resistance in NB.

Main Methods:

  • Development of an allosteric DNA nanomachine (AP-miR-tFNA) for sequential activation.
  • Utilizing cytochrome c (cyt c) and 16S rRNA as targeting and response elements.
  • Employing a spatially resolved, sequential activation system for fluorescence signal generation.

Main Results:

  • AP-miR-tFNA successfully enables in vivo monitoring of drug resistance in NB.
  • The system allows in situ detection of APE1 and miR-514a within NB plasma exosomes.
  • Demonstrated non-invasive differentiation between high-risk and low-to-intermediate-risk NB, and drug-resistant vs. non-drug-resistant NB.

Conclusions:

  • AP-miR-tFNA offers an innovative and dependable approach for monitoring therapeutic resistance in NB.
  • The technology facilitates early and accurate NB risk stratification and resistance detection.

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