Controllable crRNA Self-Transcription Aided Dual-Amplified CRISPR-Cas12a Strategy for Highly Sensitive Biosensing of FEN1 Activity

反式激活crRNA 清脆的 计算生物学 核酸酶 生物传感器 DNA 生物 多路复用 底漆延伸 核酸内切酶 遗传学 基因组编辑 生物物理学 化学 基因 生物化学 基序列
作者
Yang Song,Ke Gao,Xiaoying Cai,Wei Cheng,Shijia Ding,Decai Zhang,Shixiong Deng
出处
期刊:ACS Synthetic Biology [American Chemical Society]
卷期号:11 (11): 3847-3854 被引量:17
标识
DOI:10.1021/acssynbio.2c00420
摘要

A controllable crRNA self-transcription aided dual-amplified CRISPR-Cas12a strategy (termed CST-Cas12a) was developed for highly sensitive and specific biosensing of flap endonuclease 1 (FEN1), a structure-selective nuclease in eukaryotic cells. In this strategy, a branched DNA probe with a 5′ overhanging flap was designed to serve as a hydrolysis substrate of FEN1. The flap cut by FEN1 was annealed with a template probe and functioned as a primer for an extension reaction to produce a double-stranded DNA (dsDNA) containing a T7 promoter and crRNA transcription template. Assisting the T7 RNA polymerase, abundant crRNA was generated and assembled with Cas12a to form a Cas12a/crRNA complex, which can be activated by a dsDNA trigger and unlock the indiscriminate fluorophore–quencher reporter cleavage. The highly efficient dual signal amplification and near-zero background enabled CST-Cas12a with extraordinarily high sensitivity. Under optimized conditions, this method allowed highly sensitive biosensing of FEN1 activity in the range of 1 × 10–5 U μL–1 to 5 × 10–2 U μL–1 with a detection limit of 5.2 × 10–6 U μL–1 and achieved excellent specificity for FEN1 in the presence of other interfering enzymes. The inhibitory capabilities of chemicals on FEN1 were also investigated. Further, the newly established CST-Cas12a strategy was successfully applied to FEN1 biosensing in complex biological samples, which might be a reliable biosensing platform for highly sensitive and specific detection of FEN1 activity in clinical applications.
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
张欢馨应助Kevin采纳,获得10
1秒前
1秒前
sagitar应助陶醉的念之采纳,获得10
1秒前
2秒前
雪白书萱应助麻薯蛋挞采纳,获得10
2秒前
forever完成签到 ,获得积分10
2秒前
张欢馨应助布灵布灵采纳,获得10
3秒前
科研通AI6.4应助流月飞星采纳,获得10
5秒前
CipherSage应助佳丽采纳,获得10
6秒前
隐形曼青应助煜琪采纳,获得10
6秒前
6秒前
7秒前
8秒前
科研通AI6.4应助金刚大王采纳,获得10
9秒前
10秒前
JayL完成签到,获得积分10
10秒前
赖茜完成签到,获得积分10
11秒前
火星上火完成签到,获得积分10
11秒前
12秒前
13秒前
幸运完成签到 ,获得积分10
13秒前
xxl完成签到,获得积分10
13秒前
13秒前
14秒前
汉堡包应助卓妮采纳,获得10
16秒前
16秒前
Taozhi完成签到,获得积分10
16秒前
瘦小哈发布了新的文献求助30
16秒前
靓丽雨梅发布了新的文献求助10
17秒前
无花果应助122采纳,获得20
17秒前
敏er好学发布了新的文献求助10
17秒前
苏腾耀发布了新的文献求助10
17秒前
烂漫过客发布了新的文献求助10
17秒前
烟花应助苦逼的科研汪采纳,获得10
18秒前
19秒前
19秒前
开朗的尔琴完成签到,获得积分10
20秒前
21秒前
21秒前
21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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
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 7631551
求助须知:如何正确求助?哪些是违规求助? 9205993
关于积分的说明 19743286
捐赠科研通 7200805
什么是DOI,文献DOI怎么找? 3274614
关于科研通互助平台的介绍 2436554
邀请新用户注册赠送积分活动 2271245