Literature DB >> 33434778

DNAzyme cascade circuits in highly integrated DNA nanomachines for sensitive microRNAs imaging in living cells.

Lu-Ying Duan1, Jin-Wen Liu2, Ru-Qin Yu1, Jian-Hui Jiang3.   

Abstract

DNA molecular probes have emerged as powerful tools for fluorescence imaging of microRNAs (miRNAs) in living cells and thus elucidating functions and dynamics of miRNAs. In particular, the highly integrated DNA probes that can be able to address the robustness, sensitivity and consistency issues in a single assay system were highly desired but remained largely unsolved challenge. Herein, we reported for the first time that the development of the novel DNA nanomachines that split-DNAzyme motif was highly integrated in a single DNA triangular prism (DTP) reactor and can undergo target-activated DNAzyme catalytic cascade circuits, allowing amplified sensing and imaging of tumor-related microRNA-21 (miR-21) in living cells. The DNA nanomachines have shown dynamic responses for target miR-21 with excellent sensitivity and selectivity and demonstrated the potential for living cell imaging of miR-21. With the advantages of facile modular design and assembly, high biostability, low cytotoxicity and excellent cellular internalization, the highly integrated DNA nanomachines enabled accurate and effective monitoring of miR-21 expression levels in living cells. Therefore, our developed strategy may afford a reliable and robust nanoplatform for tumor diagnosis and for related biological research.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DNAzyme cascade circuits; Integrated DNA nanomachines; Living cells imaging; MicroRNAs; Split-DNAzyme

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Year:  2021        PMID: 33434778     DOI: 10.1016/j.bios.2021.112976

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  1 in total

1.  Label-Free miRNA-21 Analysis Based on Strand Displacement and Terminal Deoxynucleotidyl Transferase-Assisted Amplification Strategy.

Authors:  Ying Yan; Han Zhao; Yukang Fang; Changbei Ma; Junxiang Chen
Journal:  Biosensors (Basel)       Date:  2022-05-12
  1 in total

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