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Li B, Zhai G, Dong Y, Wang L, Ma P. Recent progress on the CRISPR/Cas system in optical biosensors. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:798-816. [PMID: 38259224 DOI: 10.1039/d3ay02147e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated (Cas) protein systems are adaptive immune systems unique to archaea and bacteria, with the characteristics of targeted recognition and gene editing to resist the invasion of foreign nucleic acids. Biosensors combined with the CRISPR/Cas system and optical detection technology have attracted much attention in medical diagnoses, food safety, agricultural progress, and environmental monitoring owing to their good sensitivity, high selectivity, and fast detection efficiency. In this review, we introduce the mechanism of CRISPR/Cas systems and developments in this area, followed by summarizing recent progress on CRISPR/Cas system-based optical biosensors combined with colorimetric, fluorescence, electrochemiluminescence and surface-enhanced Raman scattering optical techniques in various fields. Finally, we discuss the challenges and future perspectives of CRISPR/Cas systems in optical biosensors.
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Affiliation(s)
- Bingqian Li
- School of Special Education and Rehabilitation, Binzhou Medical University, Yantai 264003, China.
| | - Guangyu Zhai
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Yaru Dong
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Lan Wang
- School of Special Education and Rehabilitation, Binzhou Medical University, Yantai 264003, China.
| | - Peng Ma
- School of Basic Medicine, Binzhou Medical University, Yantai 264003, China.
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Yu Y, Li Q, Shi W, Yang Y, He H, Dai J, Mao G, Ma Y. Programmable Aptasensor for Regulating CRISPR/Cas12a Activity. ACS Sens 2024; 9:244-250. [PMID: 38085648 DOI: 10.1021/acssensors.3c01881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
CRISPR-mediated aptasensors have gained prevalence for detecting non-nucleic acid targets. However, there is an urgent need to develop an easily customizable design to improve the signal-to-noise ratio, enhance universality, and expand the detection range. In this article, we report a CRISPR-mediated programmable aptasensor (CPAS) platform. The platform includes single-stranded DNA comprising the aptamer sequence, locker DNA, and a crRNA recognition region, forming a hairpin structure through complementary hybridization. With T4 DNA polymerase, the crRNA recognition region was transformed into a complete double-stranded DNA through stem-loop extension, thereby activating the trans-cleavage activity of Cas 12a and generating fluorescence signals. The specific binding between the target molecule and aptamer disrupted the formation of the hairpin structure, altering the fluorescence signals. Notably, the CPAS platform allows for easy customization by simply changing the aptamer sequence and locker DNA, without entailing adjustments to the crRNA. The optimal number of bases in the locker DNA was determined to be seven nucleotides for the SARS-CoV-2 spike (S) protein and four nucleotides for ATP. The CPAS platform exhibited high sensitivity for S protein and ATP detection. Integration with a lateral flow assay enabled sensitive detection within 1 h, revealing its excellent potential for portable analysis.
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Affiliation(s)
- Yao Yu
- College of Chemistry & Pharmacy, Northwest A&F University Yangling, Shaanxi 712100, China
| | - Qiaoyu Li
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Wen Shi
- College of Chemistry & Pharmacy, Northwest A&F University Yangling, Shaanxi 712100, China
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yuxin Yang
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Hongpeng He
- College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Junbiao Dai
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Guobin Mao
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yingxin Ma
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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Yu H, Jia ZS, Xu PF, Liu Y, Xu DD, Li YY, Tang HW. Multiple miRNA Detection through a Suspended Microbead Array Encoded by Triple-Color Upconversion Luminescent Nanotags via Bi-Beam Splitter Hybrid-Multitrap Optical Tweezers. Anal Chem 2023; 95:14086-14093. [PMID: 37665143 DOI: 10.1021/acs.analchem.3c02842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
In recent years, optical tweezers have become a novel tool for biodetection, and to improve the inefficiency of a single trap, the development of multitraps is required. Herein, we constructed a set of hybrid multitrap optical tweezers with the balance of stability and flexibility by the combination of two different beam splitters, a diffraction optical element (DOE) and galvano mirrors (GMs), to capture polystyrene (PS) microbeads in aqueous solutions to create an 18-trap suspended array. A sandwich hybridization strategy of DNA-miRNA-DNA was adopted to detect three kinds of target miRNAs associated with triple negative breast cancer (TNBC), in which different upconversion nanoparticles (UCNPs) with red, green, and blue emissions were applied as luminescent tags to encode the carrier PS microbeads to further indicate the levels of the targets. With encoded luminescent microbeads imaged by a three-channel microscopic system, the biodetection displayed high sensitivity with low limits of detection (LODs) of 0.27, 0.32, and 0.33 fM and exceptional linear ranges of 0.5 fM to 1 nM, 0.7 fM to 1 nM, and 1 fM to 1 nM for miR-343-3p, miR-155, and miR-199a-5p, respectively. In addition, this bead-based assay method was demonstrated to have the potential for being applied in patients' serum by satisfactory standard addition recovery experiment results.
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Affiliation(s)
- He Yu
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, People's Republic of China
| | - Zeng-Shuai Jia
- School of Information Management, Wuhan University, Wuhan 430072, People's Republic of China
| | - Peng-Fei Xu
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, People's Republic of China
| | - Yang Liu
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, People's Republic of China
| | - Da-Di Xu
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, People's Republic of China
| | - Yu-Yao Li
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, People's Republic of China
| | - Hong-Wu Tang
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, People's Republic of China
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