Multiplexed Nucleic Acid Detection Using Sequence-Specific Cleavage Mediated by Repair Endonucleases

IF 10.9 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Padric M. Garden,Yudan Li,Vel Murugan,Alexander A. Green
{"title":"Multiplexed Nucleic Acid Detection Using Sequence-Specific Cleavage Mediated by Repair Endonucleases","authors":"Padric M. Garden,Yudan Li,Vel Murugan,Alexander A. Green","doi":"10.1021/acssensors.6c02339","DOIUrl":null,"url":null,"abstract":"Rapid, portable detection of multiple nucleic acid targets is essential for infectious disease surveillance and precision oncology. CRISPR-based diagnostics have set a high bar for sensitivity and single-base specificity, yet their reliance on collateral nuclease activity complicates multiplexing, integration with amplification, and point-of-care deployment. Here, we present TIMBER (templated incision mediated by endonucleases of repair), a non-CRISPR platform that achieves comparable performance without nonspecific nuclease activity. TIMBER uses a repair endonuclease to cleave probes containing abasic sites only when they are hybridized to a matched target. The system exhibits strong specificity, enabling single-nucleotide polymorphism discrimination. TIMBER provides an analytical limit of detection of 12 pM without preamplification or one copy per μL (1.6 aM) with preamplification through RT-PCR or RT-LAMP, with results observable by visual fluorescence or on lateral flow. We deploy TIMBER to detect SARS-CoV-2 in clinical saliva samples and further demonstrate multiplex detection of four targets, enabling identification of EGFR mutations in lung cancer samples. This approach offers a flexible, rapid, and low-instrument-ready solution for diverse nucleic acid diagnostics, from viral detection to cancer genotyping.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"56 1","pages":""},"PeriodicalIF":10.9000,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Sensors","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acssensors.6c02339","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Rapid, portable detection of multiple nucleic acid targets is essential for infectious disease surveillance and precision oncology. CRISPR-based diagnostics have set a high bar for sensitivity and single-base specificity, yet their reliance on collateral nuclease activity complicates multiplexing, integration with amplification, and point-of-care deployment. Here, we present TIMBER (templated incision mediated by endonucleases of repair), a non-CRISPR platform that achieves comparable performance without nonspecific nuclease activity. TIMBER uses a repair endonuclease to cleave probes containing abasic sites only when they are hybridized to a matched target. The system exhibits strong specificity, enabling single-nucleotide polymorphism discrimination. TIMBER provides an analytical limit of detection of 12 pM without preamplification or one copy per μL (1.6 aM) with preamplification through RT-PCR or RT-LAMP, with results observable by visual fluorescence or on lateral flow. We deploy TIMBER to detect SARS-CoV-2 in clinical saliva samples and further demonstrate multiplex detection of four targets, enabling identification of EGFR mutations in lung cancer samples. This approach offers a flexible, rapid, and low-instrument-ready solution for diverse nucleic acid diagnostics, from viral detection to cancer genotyping.

Abstract Image

修复内切酶介导的序列特异性切割的多路核酸检测
快速、便携地检测多种核酸靶点对于传染病监测和精确肿瘤学至关重要。基于crispr的诊断在灵敏度和单碱基特异性方面设置了很高的标准,但它们对侧支核酸酶活性的依赖使多路复用、与扩增的整合和护理点部署变得复杂。在这里,我们提出了TIMBER(由修复内切酶介导的模板切口),这是一种非crispr平台,在没有非特异性核酸酶活性的情况下实现了类似的性能。TIMBER使用一种修复内切酶来切割含有基本位点的探针,只有当它们与匹配的靶标杂交时。该系统具有很强的特异性,能够进行单核苷酸多态性的鉴别。TIMBER提供了未经预扩增的12 pM的分析检出限,或通过RT-PCR或RT-LAMP预扩增的每μL (1.6 aM) 1个拷贝,结果可通过视觉荧光或侧流观察到。我们利用TIMBER检测临床唾液样本中的SARS-CoV-2,并进一步证明了四种靶点的多重检测,从而能够识别肺癌样本中的EGFR突变。这种方法为从病毒检测到癌症基因分型的多种核酸诊断提供了灵活、快速和低仪器准备的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书