Interfacial DNA Framework-Enhanced Background-to-Signal Transition for Ultrasensitive and Specific Micro-RNA Detection

DNA 生物传感器 材料科学 信号(编程语言) 核酸 聚苯胺 生物物理学 检出限 杂交探针 纳米技术 化学 生物 生物化学 计算机科学 聚合物 色谱法 复合材料 聚合 程序设计语言
作者
Tongtong Guo,Yuanhang Xiang,Hao Lü,Minmin Huang,Fengfei Liu,Min Fang,Jia Liu,Yujin Tang,Xinchun Li,Fan Yang
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:14 (16): 18209-18218 被引量:21
标识
DOI:10.1021/acsami.2c03075
摘要

Interfacial DNA self-assembly is fundamental to solid nucleic acid biosensors, whereas how to improve the signal-to-noise ratio has always been a challenge, especially in the charge-based electrochemical DNA sensors because of the large noise from the negatively charged DNA capture probes. Here, we report a DNA framework-reversed signal-gain strategy through background-to-signal transition for ultrasensitive and highly specific electrical detection of microRNAs (miRNAs) in blood. By using a model of enzyme-catalyzed deposition of conductive molecules (polyaniline) targeting to DNA, we observed the highest signal contribution per unit area by the highly charged three-dimensional (3D) tetrahedral DNA framework probe, relative to the modest of two-dimensional (2D) polyA probe and the lowest of one-dimensional (1D) single-stranded (ss)DNA probe, suggesting the positive correlation of background DNA charge with signal enhancement. Using such an effective signal-transition design, the DNA framework-based electrochemical sensor achieves ultrasensitive miRNAs detection with sensitivity up to 0.29 fM (at least 10-fold higher than that with 1D ssDNA or 2D polyA probes) and high specificity with single-base resolution. More importantly, this high-performance sensor allows for a generalized sandwich detection of tumor-associated miRNAs in the complex matrices (multiple cell lysates and blood serum) and further distinguishes the tumor patients (e.g., breast, lung, and liver cancer) from the normal individuals. These advantages signify the promise of this miRNA sensor as a versatile tool in precision diagnosis.
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
lilac完成签到,获得积分10
刚刚
研友_VZG7GZ应助桔子不笑采纳,获得10
1秒前
乐乐应助xl采纳,获得10
1秒前
1秒前
2秒前
zhengj发布了新的文献求助30
3秒前
Foremelon发布了新的文献求助10
3秒前
PAD完成签到,获得积分10
3秒前
多喝水我发布了新的文献求助10
3秒前
fengqicyclo完成签到,获得积分10
4秒前
科研通AI2S应助一升采纳,获得30
5秒前
大模型应助摆烂昊采纳,获得10
5秒前
宁静致远发布了新的文献求助10
7秒前
奋斗慕凝完成签到 ,获得积分10
7秒前
虚幻忆南完成签到,获得积分10
7秒前
7秒前
8秒前
笨笨石头应助hihi采纳,获得10
8秒前
pps发布了新的文献求助10
8秒前
甜美白昼完成签到,获得积分20
8秒前
9秒前
11秒前
13秒前
14秒前
14秒前
14秒前
可爱的函函应助Lin采纳,获得10
15秒前
CodeCraft应助含糊的金鱼采纳,获得10
16秒前
张渔歌完成签到,获得积分10
16秒前
17秒前
薰衣草发布了新的文献求助10
17秒前
安静的乐松完成签到,获得积分10
17秒前
fengqicyclo发布了新的文献求助30
17秒前
CipherSage应助研友_nEoEy8采纳,获得10
17秒前
18秒前
18秒前
摆烂昊发布了新的文献求助10
19秒前
20秒前
武理发布了新的文献求助10
21秒前
汉堡包应助zhangling采纳,获得10
22秒前
高分求助中
Evolution 10000
ISSN 2159-8274 EISSN 2159-8290 1000
Becoming: An Introduction to Jung's Concept of Individuation 600
Ore genesis in the Zambian Copperbelt with particular reference to the northern sector of the Chambishi basin 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
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 3160802
求助须知:如何正确求助?哪些是违规求助? 2811883
关于积分的说明 7893940
捐赠科研通 2470842
什么是DOI,文献DOI怎么找? 1315775
科研通“疑难数据库(出版商)”最低求助积分说明 631003
版权声明 602053