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Intracellular Entropy‐Driven Multi‐Bit DNA Computing for Tumor Progression Discrimination
Authors:Min Bai  Feng Chen  Xiaowen Cao  Yue Zhao  Jing Xue  Xu Yu  Chunhai Fan  Yongxi Zhao
Abstract:Tumor progressions such as metastasis are complicated events that involve abnormal expression of different miRNAs and enzymes. Monitoring these biomolecules in live cells with computational DNA nanotechnology may enable discrimination of tumor progression via digital outputs. Herein, we report intracellular entropy‐driven multivalent DNA circuits to implement multi‐bit computing for simultaneous analysis of intracellular telomerase and microRNAs including miR‐21 and miR‐31. These three biomolecules can trigger respective DNA strand displacement recycling reactions for signal amplification. They are visualized by fluorescence imaging, and their signal outputs are encoded as multi‐bit binary codes for different cell types. The results can discriminate non‐tumorigenic, malignant and metastatic breast cells as well as respective tumors. This DNA computing circuit is further performed in a microfluidic chip to differentiate rare co‐cultured cells, which holds a potential for the analysis of clinical samples.
Keywords:DNA nanotechnology  enzyme and RNA  microfluidic chip  molecular computing  tumor discrimination
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