A DNA Molecular Logic Circuit for Precise Tumor Identification

Yingyu Sima1, Lili Ai1, Linlin Wang1

  • 1Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan 410082, China.

Nano Letters
|September 24, 2024
PubMed

Insights

Researchers developed a DNA logic circuit to precisely target cancer cells expressing protein tyrosine kinase 7 (PTK7). This innovation enables accurate tumor imaging and diagnostics by distinguishing cancer cells in specific microenvironments.

Area of Science:

  • Biotechnology
  • Molecular Biology
  • Cancer Research

Background:

  • Tumor-associated antigens (TAAs) are often expressed on both cancer and normal cells, leading to the "on target, off tumor" effect in diagnostic and therapeutic tools.
  • Developing molecular recognition tools that can precisely identify cancer cells while sparing healthy tissues remains a significant challenge in oncology.

Purpose of the Study:

  • To design and validate a DNA molecular logic circuit for the specific recognition of cancer cells.
  • To utilize protein tyrosine kinase 7 (PTK7) as a model TAA for demonstrating the circuit's precision.
  • To establish a strategy for developing intelligent DNA-based diagnostic tools.

Main Methods:

  • A DNA molecular logic circuit, termed Aisgc8, was rationally designed by integrating an H+-binding i-motif, an ATP-binding aptamer, and the PTK7-targeting aptamer Sgc8c.
  • The circuit's functionality was evaluated in simulated tumor microenvironments (weak acidity, abundant ATP) versus simulated physiological environments.
  • In vitro and in vivo experiments were conducted to assess the circuit's cancer cell recognition accuracy and tumor imaging performance.

Main Results:

  • The Aisgc8 DNA logic circuit successfully output the Sgc8c aptamer's conformation to recognize PTK7-expressing cells specifically in the simulated tumor microenvironment.
  • The circuit demonstrated high specificity, distinguishing cancer cells from normal cells by not activating in the simulated physiological environment.
  • Aisgc8 exhibited excellent performance in tumor imaging, confirming its capability for precise cancer cell recognition.

Conclusions:

  • A simple and efficient strategy for constructing DNA logic circuits was developed.
  • The Aisgc8 circuit provides a precise method for recognizing cancer cells based on their specific microenvironment.
  • This approach opens new avenues for developing convenient and intelligent precision diagnostics using DNA logic circuits.