Enhanced DNA Entropy-Driven Circuit by Locked Nucleic Acids and Simulation-Guided Localization

DNA 核酸 材料科学 生物传感器 熵(时间箭头) 锁核酸 信号(编程语言) 生物系统 纳米技术 生物物理学 计算机科学 化学 生物 生物化学 寡核苷酸 物理 量子力学 程序设计语言
作者
Qiaoni Kou,Jiarui Yang,Lei Wang,Hongyang Zhao,Linghao Zhang,Xin Su
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:15 (40): 47415-47424 被引量:8
标识
DOI:10.1021/acsami.3c11189
摘要

Signal amplification methods based on DNA molecular interactions are promising tools for detecting various biomarkers in low abundance. The entropy-driven circuit (EDC), as an enzyme-free signal amplification method, has been used in detecting and imaging a variety of biomarkers. The localization strategy can effectively increase the local concentration of the DNA reaction modules to improve the signal amplification effect. However, the localization strategy may also amplify the leak reaction of the EDC, and effective signal amplification can be limited by the unclear structure–function relationship. Herein, we utilized locked nucleic acid (LNA) modification to enhance the stability of the localized entropy-driven circuit (LEDC), which suppressed a 94.6% leak signal. The coarse-grained model molecular simulation was used to guide the structure design of the LEDC, and the influence of critical factors such as the localized distance and spacer length was analyzed at the molecular level to obtain the best reaction performance. The sensitivities of miR-21 and miR-141 detected by a simulation-guided optimal LEDC probe were 17.45 and 65 pM, 1345 and 521 times higher than free-EDC, respectively. The LEDC was further employed for the fluorescence imaging of miRNA in cancer cells, showing excellent specificity and sensitivity. This work utilizes LNA and molecular simulations to comprehensively improve the performance of a localized DNA signal amplification circuit, providing an advanced DNA probe design strategy for biosensing and imaging as well as valuable information for the designers of DNA-based probes.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
安之于数发布了新的文献求助10
刚刚
zhao完成签到,获得积分10
3秒前
zixi完成签到,获得积分10
3秒前
Nacsion完成签到,获得积分10
4秒前
4秒前
小蘑菇应助后叶忽安采纳,获得10
5秒前
explorer发布了新的文献求助30
6秒前
Damy完成签到,获得积分10
7秒前
FashionBoy应助夏蕊采纳,获得20
8秒前
叮当发布了新的文献求助30
10秒前
如意的垣完成签到 ,获得积分10
11秒前
LabRat完成签到 ,获得积分10
11秒前
11秒前
dryao完成签到,获得积分10
12秒前
彭于晏应助jessie采纳,获得10
13秒前
13秒前
14秒前
刘小七完成签到,获得积分10
14秒前
16秒前
16秒前
Horizon完成签到,获得积分10
17秒前
GG完成签到,获得积分10
17秒前
17秒前
tanlpp发布了新的文献求助10
18秒前
18秒前
18秒前
石南风完成签到,获得积分10
18秒前
月亮完成签到,获得积分20
19秒前
19秒前
19秒前
20秒前
20秒前
英姑应助魔幻的雁兰采纳,获得10
21秒前
111完成签到,获得积分10
21秒前
21秒前
打打应助笙木采纳,获得10
22秒前
水悟子完成签到,获得积分10
23秒前
沐雨发布了新的文献求助10
23秒前
宜醉宜游宜睡应助susu采纳,获得10
23秒前
24秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Foreign Policy of the French Second Empire: A Bibliography 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
Classics in Total Synthesis IV 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3146022
求助须知:如何正确求助?哪些是违规求助? 2797382
关于积分的说明 7824093
捐赠科研通 2453743
什么是DOI,文献DOI怎么找? 1305846
科研通“疑难数据库(出版商)”最低求助积分说明 627593
版权声明 601491