DNA分子的自组装:迈向生物医学应用的DNA纳米机器人

IF 10.5 Q1 ENGINEERING, BIOMEDICAL Cyborg and bionic systems (Washington, D.C.) Pub Date : 2021-10-19 DOI:10.34133/2021/9807520
Yong Hu
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引用次数: 21

摘要

DNA纳米技术将DNA分子从其生物背景中分离出来,构建纳米结构,这些纳米结构已进入机器人领域,从而为半机械人和仿生系统增加了一个维度。在DNA分子类似弹簧的特性的刺激下,组装的纳米机器人可以通过精心设计来调整,使其能够进行有限的机械运动。DNA纳米机器人可以通过编程结合几个独特的特征,如组织穿透、定位、刺激反应和货物装载,这使它们成为精准医疗生物医学机器人的理想候选人。尽管DNA纳米机器人能够在体外和体内通过多种基于DNA的相互作用检测目标分子并决定细胞命运,但在DNA纳米机器人的实际应用道路上仍然存在主要障碍。控制纳米机器人的稳定性、装载和释放、分析物结合和动态切换是生物医学DNA纳米机器人目前面临的最突出的挑战。同时,在CMC和GMP标准下,以低成本扩大DNA纳米机器人的规模是临床转化的其他相关挑战。然而,DNA纳米机器人无疑将成为改善人类健康的强大工具箱,一旦使用可扩展且经济有效的方法解决这些挑战。
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Self-Assembly of DNA Molecules: Towards DNA Nanorobots for Biomedical Applications
DNA nanotechnology takes DNA molecule out of its biological context to build nanostructures that have entered the realm of robots and thus added a dimension to cyborg and bionic systems. Spurred by spring-like properties of DNA molecule, the assembled nanorobots can be tuned to enable restricted, mechanical motion by deliberate design. DNA nanorobots can be programmed with a combination of several unique features, such as tissue penetration, site-targeting, stimuli responsiveness, and cargo-loading, which makes them ideal candidates as biomedical robots for precision medicine. Even though DNA nanorobots are capable of detecting target molecule and determining cell fate via a variety of DNA-based interactions both in vitro and in vivo, major obstacles remain on the path to real-world applications of DNA nanorobots. Control over nanorobot's stability, cargo loading and release, analyte binding, and dynamic switching both independently and simultaneously represents the most eminent challenge that biomedical DNA nanorobots currently face. Meanwhile, scaling up DNA nanorobots with low-cost under CMC and GMP standards represents other pertinent challenges regarding the clinical translation. Nevertheless, DNA nanorobots will undoubtedly be a powerful toolbox to improve human health once those remained challenges are addressed by using a scalable and cost-efficient method.
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来源期刊
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
21 weeks
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