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Intracellular Entropy‐Driven Multi‐Bit DNA Computing for Tumor Progression Discrimination
Author(s) -
Bai Min,
Chen Feng,
Cao Xiaowen,
Zhao Yue,
Xue Jing,
Yu Xu,
Fan Chunhai,
Zhao Yongxi
Publication year - 2020
Publication title -
angewandte chemie
Language(s) - English
Resource type - Journals
eISSN - 1521-3757
pISSN - 0044-8249
DOI - 10.1002/ange.202001598
Subject(s) - dna , intracellular , biomolecule , microfluidics , computational biology , chemistry , microrna , nanotechnology , biophysics , computer science , biology , microbiology and biotechnology , materials science , biochemistry , gene
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.