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Enzymatically Cyclic Activated Biosensor Based on a Tetrahedral DNA Framework for Precise Tumor in Situ Molecular
Muchun Yu1, Yingyu Zhang2, Mengxin Zhang1
1Health Commission of Henan Province Key Laboratory for Precision Diagnosis and Treatment of Pediatric Tumor, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, China.
ACS Sensors
|October 10, 2024
Summary
This study introduces a novel DNA biosensor for precise tumor imaging. The apurinic/apyrimidinic endonuclease 1 (APE1)-activated sensor offers high sensitivity and specificity, enabling tumor cell differentiation and risk classification.
Area of Science:
- Biomedical Engineering
- Molecular Imaging
- Nucleic Acid Nanotechnology
Background:
- Tumor molecular imaging requires strategies with high spatial specificity and sensitivity to overcome challenges like off-tumor signal leakage and low biomarker abundance.
- The enzyme apurinic/apyrimidinic endonuclease 1 (APE1) is a promising target due to its differential expression in cancer cells (cytosolic and nuclear) compared to normal cells (predominantly nuclear).
Purpose of the Study:
- To develop a cyclically activated enzymatic biosensor for tumor cell-specific molecular imaging.
- To utilize the apurinic/apyrimidinic endonuclease 1 (APE1) enzyme's activity for enhanced sensitivity and spatial specificity in detecting tumor cells.
Main Methods:
- A tetrahedral framework nucleic acid (tFNA) modified with an abasic (AP) site (AP-tFNA) was designed as a substrate for APE1.
- The biosensor relies on APE1-induced cleavage of the AP site, separating a fluorophore and quencher to generate a detectable fluorescence signal.
- The cyclic activation mechanism allows for signal amplification upon repeated APE1 recognition and cleavage.
Main Results:
- The AP-tFNA biosensor demonstrated high specificity in differentiating tumor cells from normal cells both in vitro and in vivo.
- The system achieved sensitive detection of tumor cells, correlating with APE1 enzyme activity.
- The biosensor successfully monitored drug resistance in neuroblastoma cells and classified patient risk using plasma samples.
Conclusions:
- The developed AP-tFNA biosensor provides a sensitive and spatially specific platform for tumor molecular imaging.
- This approach holds potential for real-time monitoring of therapeutic responses and clinical risk stratification in cancer patients.
- The cyclically activated enzymatic strategy offers a promising avenue for improving diagnostic capabilities in oncology.

