Real-time monitoring ATP variation in human cancer organoids for a long term by DNA-based nanosensor

Kexin Zhang1, Yadong Wang2, Jianchao Xue2

  • 1Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.

PubMed

Insights

Researchers developed a novel DNA-based nanosensor for real-time monitoring of adenosine triphosphate (ATP) in cancer organoids. This breakthrough enables long-term growth tracking and drug response assessment, overcoming limitations of current methods.

Area of Science:

  • Biomedical Engineering
  • Cancer Research
  • Nanotechnology

Background:

  • Cancer organoids are valuable for predicting drug responses.
  • Adenosine triphosphate (ATP) detection is crucial for assessing organoid growth and drug efficacy.
  • Current ATP detection methods are limited to single time points, hindering comprehensive analysis.

Purpose of the Study:

  • To develop a novel DNA-based ATP nanosensor for real-time, long-term monitoring of ATP levels in cancer organoids.
  • To overcome the limitations of current single-time-point ATP detection methods.
  • To enable continuous monitoring of organoid growth status and drug responses.

Main Methods:

  • Development of a DNA-based nanosensor utilizing a tetrahedral DNA framework for enhanced cell permeability and intracellular detection.
  • Incorporation of ATP-mediated molecular replacement for sensitive and selective ATP recognition.
  • Real-time ATP monitoring in human lung cancer organoids for up to 26 days.

Main Results:

  • The developed DNA-based ATP nanosensor demonstrated high biocompatibility and low cytotoxicity.
  • The nanosensor achieved real-time intracellular ATP detection within organoids.
  • Successfully generated growth status curves for organoids over a 26-day period during drug sensitivity testing.

Conclusions:

  • The DNA-based ATP nanosensor offers a feasible solution for real-time, long-term ATP monitoring in cancer organoids.
  • This technology overcomes the clinical dilemma of selecting optimal time points for ATP detection.
  • Enables comprehensive assessment of organoid growth and drug responses, advancing personalized cancer therapy.

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