期刊
CHEMBIOCHEM
卷 20, 期 9, 页码 1139-1144出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/cbic.201800761
关键词
DNA aptamers; DNA prisms; nanostructures; self-assembly; therapeutics
资金
- National Natural Science Foundation of China [31700863]
- China Joint Research Fund for Overseas Chinese, Hong Kong and Macao Scholars [81429001]
- China Postdoctoral Science Foundation [2017M613346]
- Chongqing Research Program of Basic Science and Frontier Technology [cstc2017jcyjA1289]
- Clinical Research Projects of Xinqiao Hospital, Third Military Medical University [2016YLC09, 2016YXKJC07]
Programmable DNA nanostructures are a new class of biocompatible, nontoxic nanomaterials. Nevertheless, their application in the field of biomedical research is still in its infancy, especially as drug delivery vehicles for gene therapy. In this study, a GTPase Rab26 was investigated as a new potential therapeutic target using a precisely tailored DNA nanoprism for targeted lung cancer therapy. Specifically, a DNA nanoprism platform with tunable targeting and siRNA loading capability is designed and synthesized. The as-prepared DNA prisms were decorated with two functional units: a Rab26 siRNA as the drug and MUC-1 aptamers as a targeting moiety for non-small cell lung cancer. The number and position of both siRNA and MUC-1 aptamers can be readily tuned by switching two short, single-stranded DNA. Native polyacrylamide gel electrophoresis (PAGE) and dynamic light scattering technique (DLS) demonstrate that all nanoprisms with different functionalities are self-assembled with high yield. It is also found that the cellular uptake of DNA prisms is proportional to the aptamer number on each nanoprism, and the as-prepared DNA nanoprism show excellent anti-cancer activities and targeting capability. This study suggests that by careful design, self-assembled DNA nanostructures are highly promising, customizable, multifunctional nanoplatforms for potential biomedical applications, such as personalized precision therapy.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据