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构建具有内置 DNA 计算核心的智能原细胞以消除外源挑战。

Constructing Smart Protocells with Built-In DNA Computational Core to Eliminate Exogenous Challenge.

机构信息

Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Life sciences, Aptamer Engineering Center of Hunan Province , Hunan University , Changsha , Hunan 410082 , China.

Institute of Molecular Medicine, Renji Hospital, School of Medicine and College of Chemistry and Chemical Engineering , Shanghai Jiao Tong University , Shanghai 200240 , PR China.

出版信息

J Am Chem Soc. 2018 Jun 6;140(22):6912-6920. doi: 10.1021/jacs.8b01960. Epub 2018 May 24.

Abstract

A DNA reaction network is like a biological algorithm that can respond to "molecular input signals", such as biological molecules, while the artificial cell is like a microrobot whose function is powered by the encapsulated DNA reaction network. In this work, we describe the feasibility of using a DNA reaction network as the computational core of a protocell, which will perform an artificial immune response in a concise way to eliminate a mimicked pathogenic challenge. Such a DNA reaction network (RN)-powered protocell can realize the connection of logical computation and biological recognition due to the natural programmability and biological properties of DNA. Thus, the biological input molecules can be easily involved in the molecular computation and the computation process can be spatially isolated and protected by artificial bilayer membrane. We believe the strategy proposed in the current paper, i.e., using DNA RN to power artificial cells, will lay the groundwork for understanding the basic design principles of DNA algorithm-based nanodevices which will, in turn, inspire the construction of artificial cells, or protocells, that will find a place in future biomedical research.

摘要

DNA 反应网络类似于一种生物算法,可以对“分子输入信号”(如生物分子)做出响应,而人工细胞则类似于一种微机器人,其功能由封装的 DNA 反应网络提供动力。在这项工作中,我们描述了使用 DNA 反应网络作为原细胞计算核心的可行性,该原细胞将以简洁的方式执行人工免疫反应,以消除模拟的致病挑战。由于 DNA 的自然可编程性和生物特性,这种由 DNA 反应网络(RN)驱动的原细胞可以实现逻辑计算和生物识别的连接。因此,生物输入分子可以很容易地参与分子计算,并且计算过程可以通过人工双层膜进行空间隔离和保护。我们相信,当前论文中提出的使用 DNA RN 为人工细胞提供动力的策略,将为理解基于 DNA 算法的纳米器件的基本设计原则奠定基础,这反过来又将启发人工细胞或原细胞的构建,这些细胞将在未来的生物医学研究中找到一席之地。

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本文引用的文献

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