Resettable and enzyme-free molecular logic devices for the intelligent amplification detection of multiple miRNAs via catalyzed hairpin assembly
Resettable and enzyme-free molecular logic devices for the intelligent amplification detection of multiple miRNAs via catalyzed hairpin assembly
复制标题
可复位且无酶的分子逻辑装置，用于通过催化发夹组装智能扩增检测多个 miRNA
DOI：
10.1039/c8nr10103e
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发表时间：
2019
期刊：
影响因子：
6.7
通讯作者：
Xu Jing Juan
中科院分区：
文献类型：
--
作者：
Zhang Siqi;Li Kai Bin;Shi Wei;Zhang Jie;Han De Man;Xu Jing Juan
用于生物诊断的多级DNA逻辑门的集成还远未完全实现。特别是，简化逻辑分析以实现高级逻辑诊断仍然是DNA计算和生物电子学的关键挑战。在这里，我们开发了一个磁珠/DNA系统来构建一个逻辑门库，从而能够感知多个靶标miRNAs。在本实验中，miRNA催化的发夹组件(CHA)被成功地应用于构建具有良好专一性的两/三输入级联逻辑电路，从而设计出高灵敏度的多重检测系统。值得注意的是，基于CHA的多重检测系统可以在逻辑功能控制下区分单个目标miRNAs(如miR-21、miR-155和miR let-7a)，这在快速智能检测的发展中具有广阔的应用前景。另一个新颖的特点是，可以通过加热输出系统和计算模块的磁分离来重置多路检测系统。总体而言，所提出的高放大效率的逻辑诊断具有简单、快速、低成本和可重置的特点，在生物计算、多参数传感和智能疾病诊断的发展中具有广阔的前景。
The integration of multi-level DNA logic gates for biological diagnosis is far from being fully realized. In particular, the simplification of logical analysis to implement advanced logic diagnoses is still a critical challenge for DNA computing and bioelectronics. Here, we developed a magnetic bead/DNA system to construct a library of logic gates, enabling the sensing of multiplex target miRNAs. In this assay, the miRNA-catalyzed hairpin assembly (CHA) was successfully applied to construct two/three-input concatenated logic circuits with excellent specificity extended to design a highly sensitive multiplex detection system. Significantly, the CHA-based multiplex detection system can distinguish individual target miRNAs (such as miR-21, miR-155, and miR let-7a) under a logic function control, which presents great applications in the development of rapid and intelligent detection. Another novel feature is that the multiplex detection system can be reset by heating the output system and the magnetic separation of the computing modules. Overall, the proposed logic diagnostics with high amplification efficiency is simple, fast, low-cost, and resettable, and holds great promise in the development of biocomputing, multiparameter sensing, and intelligent disease diagnostics.