This method reveals enhanced sensitivity and specificity for miRNA detection in cancer, indicating its potential for personalized medicine.
Finely tunable detection of microRNAs (miRNAs) is crucial for personalized medicine and cancer diagnosis, and it is a challenge to construct a tunable sensor for miRNA detection due to the diversity and complexity of cancer patient samples. This study introduces a three-dimensional (3D) DNA walker mediated by a remote toehold strand displacement reaction, which addresses the challenge of achieving tunable detection limits and sensitivities for microRNA-21 (miR-21) at a kinetic level, enabling specific recognition of cancer cells. By engineering a spacer domain within the DNA walker, the kinetics of the strand displacement reaction can be precisely modulated, thereby controlling the walking efficiency and achieving tunable detection with a detection limit range from 32 aM to 290 pM and a broad dynamic range from ∼1100-fold to ∼283,000-fold. This approach leverages the programmability of DNA molecules to design probe structures tailored to experimental requirements, offering high sensitivity and specificity and a wide detection limit. The 3D DNA walker, driven by Zn2+, allows for rapid and accurate imaging of miR-21 in cancer cells, thereby effectively differentiating cancerous cells from normal cells. The proposed method not only demonstrates a high degree of specificity in recognizing miR-21 but also provides a robust foundation for clinical diagnosis and holds promise for applications in personalized medicine, early disease detection, and drug development. These findings underscore the potential of this remote toehold-mediated DNA walker as a powerful tool for real-time monitoring and dynamic detection of disease biomarkers, enhancing the precision and efficacy of therapeutic interventions.
No takes yet. Share an insight, caveat, or question.
Zhang et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: