Yujin Yang , Xingyu Li , Xiaobo Wang, Zongji Wang, Shaohua Gong
{"title":"基于 CRISPR-Cas 的核酸比色检测策略","authors":"Yujin Yang , Xingyu Li , Xiaobo Wang, Zongji Wang, Shaohua Gong","doi":"10.1016/j.trac.2024.118058","DOIUrl":null,"url":null,"abstract":"<div><div>Accurate and facile detection of nucleic acids is significant for diagnosis and prognosis of diseases. Compared with traditional methods, CRISPR-based diagnosis shows high sensitivity and specificity, hopefully becoming the next-generation molecular diagnosis approach. Various signal output modes have been integrated with CRISPR-Cas to achieve ultrasensitive detection of nucleic acid biomarkers. Among these signal modes, colorimetric signal attracts great attention due to its simplicity, which will contribute to the point-of-care testing of nucleic acid biomarkers. Therefore, different CRISPR-based colorimetric strategies have been designed, aiming to realize facile and ultrasensitive nucleic acid biomarkers detection. In this review, the working mechanism of four CRISPR-Cas systems is first introduced, followed by summarizing the research progress of CRISPR-Cas-based colorimetric strategies, including UV/blue light-based colorimetry, lateral flow strip-based colorimetry, AuNPs-based colorimetry in solution and enzyme-based colorimetry. Furthermore, the challenges and perspectives in this field are discussed to promote the development of CRISPR-Cas-based colorimetry in practical application.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"182 ","pages":"Article 118058"},"PeriodicalIF":11.8000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CRISPR-Cas-based colorimetric strategies for nucleic acids detection\",\"authors\":\"Yujin Yang , Xingyu Li , Xiaobo Wang, Zongji Wang, Shaohua Gong\",\"doi\":\"10.1016/j.trac.2024.118058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Accurate and facile detection of nucleic acids is significant for diagnosis and prognosis of diseases. Compared with traditional methods, CRISPR-based diagnosis shows high sensitivity and specificity, hopefully becoming the next-generation molecular diagnosis approach. Various signal output modes have been integrated with CRISPR-Cas to achieve ultrasensitive detection of nucleic acid biomarkers. Among these signal modes, colorimetric signal attracts great attention due to its simplicity, which will contribute to the point-of-care testing of nucleic acid biomarkers. Therefore, different CRISPR-based colorimetric strategies have been designed, aiming to realize facile and ultrasensitive nucleic acid biomarkers detection. In this review, the working mechanism of four CRISPR-Cas systems is first introduced, followed by summarizing the research progress of CRISPR-Cas-based colorimetric strategies, including UV/blue light-based colorimetry, lateral flow strip-based colorimetry, AuNPs-based colorimetry in solution and enzyme-based colorimetry. Furthermore, the challenges and perspectives in this field are discussed to promote the development of CRISPR-Cas-based colorimetry in practical application.</div></div>\",\"PeriodicalId\":439,\"journal\":{\"name\":\"Trends in Analytical Chemistry\",\"volume\":\"182 \",\"pages\":\"Article 118058\"},\"PeriodicalIF\":11.8000,\"publicationDate\":\"2024-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in Analytical Chemistry\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0165993624005417\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Analytical Chemistry","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165993624005417","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
CRISPR-Cas-based colorimetric strategies for nucleic acids detection
Accurate and facile detection of nucleic acids is significant for diagnosis and prognosis of diseases. Compared with traditional methods, CRISPR-based diagnosis shows high sensitivity and specificity, hopefully becoming the next-generation molecular diagnosis approach. Various signal output modes have been integrated with CRISPR-Cas to achieve ultrasensitive detection of nucleic acid biomarkers. Among these signal modes, colorimetric signal attracts great attention due to its simplicity, which will contribute to the point-of-care testing of nucleic acid biomarkers. Therefore, different CRISPR-based colorimetric strategies have been designed, aiming to realize facile and ultrasensitive nucleic acid biomarkers detection. In this review, the working mechanism of four CRISPR-Cas systems is first introduced, followed by summarizing the research progress of CRISPR-Cas-based colorimetric strategies, including UV/blue light-based colorimetry, lateral flow strip-based colorimetry, AuNPs-based colorimetry in solution and enzyme-based colorimetry. Furthermore, the challenges and perspectives in this field are discussed to promote the development of CRISPR-Cas-based colorimetry in practical application.
期刊介绍:
TrAC publishes succinct and critical overviews of recent advancements in analytical chemistry, designed to assist analytical chemists and other users of analytical techniques. These reviews offer excellent, up-to-date, and timely coverage of various topics within analytical chemistry. Encompassing areas such as analytical instrumentation, biomedical analysis, biomolecular analysis, biosensors, chemical analysis, chemometrics, clinical chemistry, drug discovery, environmental analysis and monitoring, food analysis, forensic science, laboratory automation, materials science, metabolomics, pesticide-residue analysis, pharmaceutical analysis, proteomics, surface science, and water analysis and monitoring, these critical reviews provide comprehensive insights for practitioners in the field.