Precise Capture and Direct Quantification of Tumor Exosomes via a Highly Efficient Dual-Aptamer Recognition-Assisted Ratiometric Immobilization-Free Electrochemical Strategy

微泡 适体 化学 DNA 组合化学 对偶(语法数字) 微乳液 生物物理学 纳米技术 小RNA 分子生物学 生物化学 材料科学 艺术 文学类 生物 基因 肺表面活性物质
作者
Limin Yang,Xuehan Yin,Bin An,Feng Li
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:93 (3): 1709-1716 被引量:253
标识
DOI:10.1021/acs.analchem.0c04308
摘要

Tumor exosomes are promising biomarkers for early cancer diagnosis in a noninvasive manner. However, precise capture and direct analysis of tumor-specific exosomes in complex biological samples are still challenging. Herein, we present a highly efficient dual-aptamer recognition system for precisely isolating and quantifying tumor exosomes from the complex biological environment based on hyperbranched DNA superstructure-facilitated signal amplification and ratiometric dual-signal strategies. When tumor exosomes were captured by the dual-aptamer recognition system, the cholesterol-modified DNA probe was anchored on the surface of the exosomes, activating DNA tetrahedron-based hyperbranched hybridization chain reaction to generate a sandwich complex. Then, the sandwich complex could bind a large number of Ru(NH3)63+ (Ru(III)), leading to a small amount of unbound Ru(III) left in the supernatant after magnetic separation. Hence, the redox reaction between Ru(II) and [Fe(CN)6]3- (Fe(III)) was significantly prevented, causing an obviously enhanced IFe(III)/IRu(III) value. Consequently, highly sensitive detection of tumor exosomes was achieved. The developed approach successfully realized direct isolation and analysis of tumor exosomes in complex sample media and human serum samples as well. More significantly, this ratiometric dual-signal mode and immobilization-free strategy effectively circumvented the systematic errors caused by external factors and the tedious probe immobilization processes, thus displaying the excellent performances of high reliability, improved accuracy, and easy manipulation. Overall, this approach is expected to offer novel ways for nondestructive early cancer 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
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
张凌霄完成签到 ,获得积分10
刚刚
1秒前
英姑应助xiaowang采纳,获得10
1秒前
蚂蚁飞飞完成签到,获得积分10
3秒前
4秒前
wayne发布了新的文献求助10
6秒前
秋秋完成签到,获得积分10
6秒前
Orange应助科研通管家采纳,获得30
7秒前
唐同学发布了新的文献求助10
8秒前
嘻嘻完成签到,获得积分10
9秒前
LOU德华发布了新的文献求助10
10秒前
11秒前
踏实的硬币给踏实的硬币的求助进行了留言
14秒前
所所应助嘻嘻采纳,获得10
14秒前
兰先生完成签到,获得积分10
14秒前
悬铃木完成签到,获得积分10
15秒前
Jally完成签到 ,获得积分10
17秒前
yangyangyang完成签到 ,获得积分10
17秒前
清爽朋友完成签到,获得积分10
19秒前
22秒前
天天玩完成签到,获得积分10
22秒前
菜鸟学习完成签到 ,获得积分0
25秒前
27秒前
allensune完成签到,获得积分10
27秒前
33发布了新的文献求助30
27秒前
28秒前
蜀山刀客完成签到,获得积分10
28秒前
livy完成签到 ,获得积分10
29秒前
wayne发布了新的文献求助50
31秒前
王萌萌完成签到 ,获得积分10
32秒前
gudujian870928完成签到,获得积分10
32秒前
荼白完成签到 ,获得积分10
32秒前
sanvva应助Language采纳,获得200
34秒前
唐同学完成签到,获得积分10
36秒前
辣条机会有限完成签到 ,获得积分10
40秒前
上官若男应助33采纳,获得30
43秒前
贤惠的咖啡完成签到,获得积分10
44秒前
TheDing完成签到,获得积分10
44秒前
46秒前
47秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Atlas of Aligner Treatment and Planning A Case-Based Approach 1000
Rocket Propulsion Elements, 10th Edition 800
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7440915
求助须知:如何正确求助?哪些是违规求助? 9041862
关于积分的说明 19270209
捐赠科研通 7065693
什么是DOI,文献DOI怎么找? 3238077
关于科研通互助平台的介绍 2401853
邀请新用户注册赠送积分活动 2221994