By delivering real‑time, quantitative measurement of oncogenic microRNAs inside intact cells, the TW‑harvester could enable early assessment of tumor aggressiveness and guide personalized therapy. Its durability and high specificity overcome long‑standing barriers to intracellular diagnostics, paving the way for clinical translation.
DNA walkers have long promised nanoscale diagnostics, yet early designs suffered from rapid detachment and enzymatic degradation, limiting their clinical relevance. Recent advances in DNA origami and nanoparticle scaffolds improved stability, but multi‑legged walkers still traded speed for attachment. The TW‑harvester resolves this trade‑off by integrating three sequentially locked wheels onto a rigid tetrahedral framework anchored to a gold nanoparticle, ensuring continuous motion while preserving catalytic activity inside the cytoplasm.
The platform’s performance metrics set a new benchmark for intracellular sensing. A limit of detection of 5.4 pM for miR‑21—nearly 500‑fold lower than prior walker assays—combined with a half‑life exceeding 20 hours under nuclease stress enables prolonged monitoring of tumor biomarkers. Fluorescence intensity surpasses traditional fluorescence in situ hybridization by fourfold, and the linear response spans four orders of magnitude, delivering quantitative data that correlate with qPCR (R² = 0.995). Moreover, the system’s modular design allows rapid reconfiguration for additional microRNAs, as demonstrated with simultaneous miR‑125b detection, without cross‑interference.
Clinically, the ability to quantify microRNA levels directly within living cells offers a powerful tool for assessing malignancy, predicting metastasis risk, and tailoring treatment strategies. By coupling tumor‑specific aptamer targeting with intracellular activation, the TW‑harvester minimizes off‑target signals, a critical requirement for patient safety. Future work will focus on in vivo validation, scaling manufacturing, and integrating the nanomachine with point‑of‑care imaging platforms, potentially transforming precision oncology diagnostics.
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