miR-Cabiner: A Universal microRNA Sensing Platform Based on Self-Stacking Cascaded Bicyclic DNA Circuit-Mediated CRISPR/Cas12a

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL Analytical Chemistry Pub Date : 2024-12-20 DOI:10.1021/acs.analchem.4c05370
Ruijia Deng, Jing Sheng, Zuowei Xie, Hongzhao Yang, Sha Yang, Shuang Xie, Xiaoqi Tang, Shuang Zhao, Haohao Dong, Ming Chen, Kai Chang
{"title":"miR-Cabiner: A Universal microRNA Sensing Platform Based on Self-Stacking Cascaded Bicyclic DNA Circuit-Mediated CRISPR/Cas12a","authors":"Ruijia Deng, Jing Sheng, Zuowei Xie, Hongzhao Yang, Sha Yang, Shuang Xie, Xiaoqi Tang, Shuang Zhao, Haohao Dong, Ming Chen, Kai Chang","doi":"10.1021/acs.analchem.4c05370","DOIUrl":null,"url":null,"abstract":"CRISPR/Cas12a-based diagnostics have great potential for sensing nucleic acids, but their application is limited by the sequence-dependent property. A platform termed miR-Cabiner (a universal <u>miR</u>NA sensing platform based on self-stacking <u>ca</u>scaded <u>bi</u>cyclic D<u>N</u>A circuit-m<u>e</u>diated C<u>R</u>ISPR/Cas12a) is demonstrated herein that is sensitive and universal for analyzing miRNAs. This platform combines catalytic hairpin assembly (CHA) and hybrid chain reaction (HCR) into a unified circuit and finally cascades to CRISPR/Cas12a. Compared with the CHA–Cas12a and HCR–Cas12a systems, miR-Cabiner exhibits a significantly higher reaction rate. Panels of miRNAs (miR-130a, miR-10b, miR-21, and miR-1285), which are associated with diagnosis, staging, and prognosis of breast cancer, are designed to demonstrate the universality of miR-Cabiner. Four miRNAs can be detected to the fM-level by simply tuning the sequence in CHA components. Additionally, miRNA panel analysis also shows high accuracy in practical samples. This universally applicable platform for detecting miRNA may serve as an excellent tool for clinical diagnosis.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"19 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.4c05370","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

CRISPR/Cas12a-based diagnostics have great potential for sensing nucleic acids, but their application is limited by the sequence-dependent property. A platform termed miR-Cabiner (a universal miRNA sensing platform based on self-stacking cascaded bicyclic DNA circuit-mediated CRISPR/Cas12a) is demonstrated herein that is sensitive and universal for analyzing miRNAs. This platform combines catalytic hairpin assembly (CHA) and hybrid chain reaction (HCR) into a unified circuit and finally cascades to CRISPR/Cas12a. Compared with the CHA–Cas12a and HCR–Cas12a systems, miR-Cabiner exhibits a significantly higher reaction rate. Panels of miRNAs (miR-130a, miR-10b, miR-21, and miR-1285), which are associated with diagnosis, staging, and prognosis of breast cancer, are designed to demonstrate the universality of miR-Cabiner. Four miRNAs can be detected to the fM-level by simply tuning the sequence in CHA components. Additionally, miRNA panel analysis also shows high accuracy in practical samples. This universally applicable platform for detecting miRNA may serve as an excellent tool for clinical diagnosis.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
miR-Cabiner:基于自堆叠级联双环DNA电路介导的CRISPR/Cas12a的通用microRNA传感平台
基于CRISPR/ cas12的诊断在核酸传感方面具有巨大的潜力,但其应用受到序列依赖特性的限制。本文展示了一种名为miR-Cabiner的平台(一种基于自堆叠级联双环DNA电路介导的CRISPR/Cas12a的通用miRNA传感平台),该平台对分析miRNA具有敏感性和通用性。该平台将催化发夹组装(CHA)和混合链式反应(HCR)结合成一个统一的电路,最终级联到CRISPR/Cas12a。与CHA-Cas12a和HCR-Cas12a体系相比,miR-Cabiner表现出明显更高的反应速率。mirna (miR-130a, miR-10b, miR-21和miR-1285)与乳腺癌的诊断,分期和预后相关,旨在证明miR-Cabiner的普遍性。通过简单地调整CHA组分中的序列,可以检测到四种mirna到fm水平。此外,miRNA面板分析在实际样品中也显示出较高的准确性。这种普遍适用的miRNA检测平台可能成为临床诊断的优秀工具。
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 去求助
来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
期刊最新文献
Breathomics-Guided Solid-State Sensor for Noninvasive Point-of-Care Diabetes Screening. Rapid Classification of Pantoea spp. via Raman Flow Cytometry. Nondestructive In-Situ Measurement of Alkaline Phosphatase Activity of Human Intestinal Organoids in Hydrogel Domes Using Scanning Electrochemical Microscopy. A Novel Dual Signal Amplification Strategy Integrating APE1-Assisted DNA Walker with Rolling Circle Amplification for Highly Sensitive, Label-Free Exosomal microRNA Analysis. Exploring the Ultralow Limit of Detection for Aromatic/Hydrophobic Nanoplastics with Ultrasmall Size Enables an LSPR Optical Microfiber.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1