Exponential amplification reaction-based fluorescent sensor for the sensitive detection of tumor biomarker flap endonuclease 1

核酸酶 生物传感器 荧光 分子生物学 DNA 核酸内切酶 生物 检出限 化学 色谱法 生物化学 量子力学 物理
作者
Bin Zhou,Lei Lin,Bingzhi Li
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:346: 130457-130457 被引量:40
标识
DOI:10.1016/j.snb.2021.130457
摘要

Flap endonuclease 1 (FEN1) is a nuclease overexpressed in cells with a high replicate rate, which has been recognized as a potential biomarker in the molecular diagnosis of cancers. In this work, we developed a fluorescent biosensor based on exponential amplification reaction (EXPAR) to realize the rapid and sensitive detection of FEN1. A DNA probe specific for FEN1 is used for the generation of reporter DNA (rDNA), and then the rDNA hybridizes with a template, triggering EXPAR to produce substantial rDNA exponentially. However, when no FEN1 is in the system, the EXPAR will not be initiated because of the lack of rDNA. Derived from the high amplification efficiency of EXPAR, the rapid quantification of FEN1 with a limit of detection (LOD) of 0.5 fM was realized. It is also revealed that this biosensor exhibits good selectivity towards FEN1 under the challenge from real samples including extracts of cells and solid tumors. Furthermore, this sensor was reengineered for the analysis of FEN1 inhibitors, which shows promise in the screening and evaluation of potential drugs targeting FEN1. This work integrates EXPAR into the biosensing of FEN1 for the first time, which provides a promising tool for FEN1-related biomedical investigations.

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
hhhhhhan616完成签到,获得积分10
刚刚
立菠萝完成签到,获得积分10
刚刚
xyysee完成签到,获得积分10
刚刚
gankLei完成签到,获得积分10
刚刚
笨笨烨华完成签到 ,获得积分10
刚刚
nonory完成签到,获得积分10
刚刚
哆啦猫完成签到,获得积分10
刚刚
NexusExplorer应助马少洋采纳,获得10
1秒前
风很大完成签到,获得积分10
1秒前
杳杳完成签到 ,获得积分10
2秒前
compchem发布了新的文献求助10
2秒前
212774发布了新的文献求助10
3秒前
3秒前
3秒前
做科研的小施同学完成签到,获得积分10
5秒前
Owen应助天水张家辉采纳,获得10
5秒前
朴实的母鸡完成签到,获得积分10
5秒前
cc完成签到,获得积分10
6秒前
英俊的铭应助叶子采纳,获得10
6秒前
燕不留声完成签到 ,获得积分10
6秒前
万能图书馆应助流水采纳,获得10
6秒前
7秒前
欣喜谷槐完成签到,获得积分10
7秒前
7秒前
mensa完成签到,获得积分10
8秒前
十二平均律完成签到,获得积分10
8秒前
感动的荠发布了新的文献求助20
8秒前
8秒前
8秒前
1121发布了新的文献求助20
8秒前
vina关注了科研通微信公众号
8秒前
9秒前
renovel完成签到,获得积分10
9秒前
lb完成签到,获得积分10
9秒前
10秒前
compchem完成签到,获得积分10
10秒前
11秒前
12秒前
NexusExplorer应助TianBa123采纳,获得20
12秒前
漂亮的芒果完成签到,获得积分10
12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
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
Electrode Potentials 550
Handbook Of Synthetic Methodologies And Protocols Of Nanomaterials 500
Trees of tropical Asia : an illustrated guide to diversity 500
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 光电子学 物理化学 电极 基因 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 6990579
求助须知:如何正确求助?哪些是违规求助? 8667470
关于积分的说明 18375299
捐赠科研通 6461224
什么是DOI,文献DOI怎么找? 3096797
关于科研通互助平台的介绍 2157914
邀请新用户注册赠送积分活动 2073145