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Ci Q, He Y, Chen J. Novel Anti-CRISPR-Assisted CRISPR Biosensor for Exclusive Detection of Single-Stranded DNA (ssDNA). ACS Sens 2024; 9:1162-1167. [PMID: 38442486 PMCID: PMC10964243 DOI: 10.1021/acssensors.4c00201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/26/2024] [Accepted: 03/01/2024] [Indexed: 03/07/2024]
Abstract
Nucleic acid analysis plays an important role in disease diagnosis and treatment. The discovery of CRISPR technology has provided novel and versatile approaches to the detection of nucleic acids. However, the most widely used CRISPR-Cas12a detection platforms lack the capability to distinguish single-stranded DNA (ssDNA) from double-stranded DNA (dsDNA). To overcome this limitation, we first employed an anti-CRISPR protein (AcrVA1) to develop a novel CRISPR biosensor to detect ssDNA exclusively. In this sensing strategy, AcrVA1 cut CRISPR guide RNA (crRNA) to inhibit the cleavage activity of the CRISPR-Cas12a system. Only ssDNA has the ability to recruit the cleaved crRNA fragment to recover the detection ability of the CRISPR-Cas12 biosensor, but dsDNA cannot accomplish this. By measuring the recovered cleavage activity of the CRISPR-Cas12a biosensor, our developed AcrVA1-assisted CRISPR biosensor is capable of distinguishing ssDNA from dsDNA, providing a simple and reliable method for the detection of ssDNA. Furthermore, we demonstrated our developed AcrVA1-assisted CRISPR biosensor to monitor the enzymatic activity of helicase and screen its inhibitors.
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Affiliation(s)
- Qiaoqiao Ci
- Department
of Biological Systems Engineering, Virginia
Tech, Blacksburg, Virginia 24061, United States
| | - Yawen He
- Department
of Biological Systems Engineering, Virginia
Tech, Blacksburg, Virginia 24061, United States
| | - Juhong Chen
- Department
of Biological Systems Engineering, Virginia
Tech, Blacksburg, Virginia 24061, United States
- Department
of Bioengineering, University of California,
Riverside, Riverside, California 92521, United States
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2
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Lu Y, Yang H, Bai J, He Q, Deng R. CRISPR-Cas based molecular diagnostics for foodborne pathogens. Crit Rev Food Sci Nutr 2022; 64:5269-5289. [PMID: 36476134 DOI: 10.1080/10408398.2022.2153792] [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: 12/13/2022]
Abstract
Foodborne pathogenic infection has brought multifaceted issues to human life, leading to an urgent demand for advanced detection technologies. CRISPR/Cas-based biosensors have the potential to address various challenges that exist in conventional assays such as insensitivity, long turnaround time and complex pretreatments. In this perspective, we review the relevant strategies of CRISPR/Cas-assisted diagnostics on foodborne pathogens, focusing on biosensing platforms for foodborne pathogens based on fluorescence, colorimetric, (electro)chemiluminescence, electrochemical, and surface-enhanced Raman scattering detection. It summarizes their detection principles by the clarification of foodborne pathogenic bacteria, fungi, and viruses. Finally, we discuss the current challenges or technical barriers of these methods against broad application, and put forward alternative solutions to improve CRISPR/Cas potential for food safety.
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Affiliation(s)
- Yunhao Lu
- College of Food and Biological Engineering, Chengdu University, Chengdu, P.R. China
| | - Hao Yang
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, P.R. China
| | - Jinrong Bai
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, P.R. China
| | - Qiang He
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, P.R. China
| | - Ruijie Deng
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, P.R. China
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3
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Zhang W, Sun H, He S, Chen X, Yao L, Zhou L, Wang Y, Wang P, Hong W. Compound Raman microscopy for rapid diagnosis and antimicrobial susceptibility testing of pathogenic bacteria in urine. Front Microbiol 2022; 13:874966. [PMID: 36090077 PMCID: PMC9449455 DOI: 10.3389/fmicb.2022.874966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 08/05/2022] [Indexed: 11/23/2022] Open
Abstract
Rapid identification and antimicrobial susceptibility testing (AST) of bacteria are key interventions to curb the spread and emergence of antimicrobial resistance. The current gold standard identification and AST methods provide comprehensive diagnostic information but often take 3 to 5 days. Here, a compound Raman microscopy (CRM), which integrates Raman spectroscopy and stimulated Raman scattering microscopy in one system, is presented and demonstrated for rapid identification and AST of pathogens in urine. We generated an extensive bacterial Raman spectral dataset and applied deep learning to identify common clinical bacterial pathogens. In addition, we employed stimulated Raman scattering microscopy to quantify bacterial metabolic activity to determine their antimicrobial susceptibility. For proof-of-concept, we demonstrated an integrated assay to diagnose urinary tract infection pathogens, S. aureus and E. coli. Notably, the CRM system has the unique ability to provide Gram-staining classification and AST results within ~3 h directly from urine samples and shows great potential for clinical applications.
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Affiliation(s)
- Weifeng Zhang
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Hongyi Sun
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Shipei He
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Xun Chen
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- School of Engineering Medicine, Beihang University, Beijing, China
| | - Lin Yao
- Department of Urology, Peking University First Hospital, Beijing, China
- Lin Yao,
| | - Liqun Zhou
- Department of Urology, Peking University First Hospital, Beijing, China
| | - Yi Wang
- Department of Clinical Laboratory, China Rehabilitation Research Center, Capital Medical University, Beijing, China
| | - Pu Wang
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- *Correspondence: Pu Wang,
| | - Weili Hong
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Weili Hong,
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4
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Li H, Yang J, Wu G, Weng Z, Song Y, Zhang Y, Vanegas JA, Avery L, Gao Z, Sun H, Chen Y, Dieckhaus KD, Gao X, Zhang Y. Amplification-Free Detection of SARS-CoV-2 and Respiratory Syncytial Virus Using CRISPR Cas13a and Graphene Field-Effect Transistors. Angew Chem Int Ed Engl 2022; 61:e202203826. [PMID: 35559592 PMCID: PMC9347639 DOI: 10.1002/anie.202203826] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Indexed: 12/26/2022]
Abstract
The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) systems have recently received notable attention for their applications in nucleic acid detection. Despite many attempts, the majority of current CRISPR-based biosensors in infectious respiratory disease diagnostic applications still require target preamplifications. This study reports a new biosensor for amplification-free nucleic acid detection via harnessing the trans-cleavage mechanism of Cas13a and ultrasensitive graphene field-effect transistors (gFETs). CRISPR Cas13a-gFET achieves the detection of SARS-CoV-2 and respiratory syncytial virus (RSV) genome down to 1 attomolar without target preamplifications. Additionally, we validate the detection performance using clinical SARS-CoV-2 samples, including those with low viral loads (Ct value >30). Overall, these findings establish our CRISPR Cas13a-gFET among the most sensitive amplification-free nucleic acid diagnostic platforms to date.
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Affiliation(s)
- Huijie Li
- Department of Biomedical EngineeringUniversity of ConnecticutStorrsCT 06269USA
- Institute of Materials ScienceUniversity of ConnecticutStorrsCT 06269USA
| | - Jie Yang
- Department of Chemical and Biomolecular EngineeringRice UniversityHoustonTX 77005USA
| | - Guangfu Wu
- Department of Biomedical EngineeringUniversity of ConnecticutStorrsCT 06269USA
- Institute of Materials ScienceUniversity of ConnecticutStorrsCT 06269USA
| | - Zhengyan Weng
- Department of Biomedical EngineeringUniversity of ConnecticutStorrsCT 06269USA
- Institute of Materials ScienceUniversity of ConnecticutStorrsCT 06269USA
| | - Yang Song
- Department of Biomedical EngineeringUniversity of ConnecticutStorrsCT 06269USA
- Institute of Materials ScienceUniversity of ConnecticutStorrsCT 06269USA
| | - Yuxuan Zhang
- Department of Biomedical EngineeringUniversity of ConnecticutStorrsCT 06269USA
- Institute of Materials ScienceUniversity of ConnecticutStorrsCT 06269USA
| | - Jeffrey A. Vanegas
- Department of Chemical and Biomolecular EngineeringRice UniversityHoustonTX 77005USA
| | - Lori Avery
- Department of Pathology and Laboratory MedicineUConn HealthFarmingtonCT 06030USA
| | - Zan Gao
- Department of Biomedical EngineeringUniversity of ConnecticutStorrsCT 06269USA
- Institute of Materials ScienceUniversity of ConnecticutStorrsCT 06269USA
| | - He Sun
- Department of Biomedical EngineeringUniversity of ConnecticutStorrsCT 06269USA
- Institute of Materials ScienceUniversity of ConnecticutStorrsCT 06269USA
| | - Yupeng Chen
- Department of Biomedical EngineeringUniversity of ConnecticutStorrsCT 06269USA
| | - Kevin D. Dieckhaus
- Division of Infectious DiseasesDepartment of MedicineUConn HealthFarmingtonCT 06030USA
| | - Xue Gao
- Department of Chemical and Biomolecular EngineeringRice UniversityHoustonTX 77005USA
- Department of BioengineeringRice UniversityHoustonTX 77005USA
- Department of ChemistryRice UniversityHoustonTX 77005USA
| | - Yi Zhang
- Department of Biomedical EngineeringUniversity of ConnecticutStorrsCT 06269USA
- Institute of Materials ScienceUniversity of ConnecticutStorrsCT 06269USA
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5
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Li H, Yang J, Wu G, Weng Z, Song Y, Zhang Y, Vanegas JA, Avery L, Gao Z, Sun H, Chen Y, Dieckhaus KD, Gao X, Zhang Y. Amplification‐Free Detection of SARS‐CoV‐2 and Respiratory Syncytial Virus Using CRISPR Cas13a and Graphene Field‐Effect Transistors. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202203826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Huijie Li
- University of Connecticut Biomedical Engineering 97 N Eagleville Rd Unit 3137 06269-7012 Storrs Mansfield UNITED STATES
| | - Jie Yang
- Rice University Chemical and Biomolecular Engineering UNITED STATES
| | - Guangfu Wu
- University of Connecticut Biomedical Engineering UNITED STATES
| | - Zhengyan Weng
- University of Connecticut Biomedical Engineering UNITED STATES
| | - Yang Song
- University of Connecticut Biomedical Engineering UNITED STATES
| | - Yuxuan Zhang
- University of Connecticut Biomedical Engineering UNITED STATES
| | | | - Lori Avery
- University of Connecticut Health Center: UConn Health Pathology and Laboratory Medicine UNITED STATES
| | - Zan Gao
- University of Connecticut Biomedical Engineering UNITED STATES
| | - He Sun
- University of Connecticut Biomedical Engineering 97 N Eagleville Rd Unit 3137 06269-7012 Storrs Mansfield UNITED STATES
| | - Yupeng Chen
- University of Connecticut Biomedical Engineering UNITED STATES
| | - Kevin D. Dieckhaus
- University of Connecticut Health Center: UConn Health Medicine UNITED STATES
| | - Xue Gao
- Rice University Chemical and Biomolecular Engineering UNITED STATES
| | - Yi Zhang
- University of Connecticut 97 N Eagleville Rd Unit 3137 06269 Storrs UNITED STATES
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6
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Mao Z, Chen R, Wang X, Zhou Z, Peng Y, Li S, Han D, Li S, Wang Y, Han T, Liang J, Ren S, Gao Z. CRISPR/Cas12a-based technology: A powerful tool for biosensing in food safety. Trends Food Sci Technol 2022; 122:211-222. [PMID: 35250172 PMCID: PMC8885088 DOI: 10.1016/j.tifs.2022.02.030] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 02/21/2022] [Accepted: 02/25/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND In the context of the current pandemic caused by the novel coronavirus, molecular detection is not limited to the clinical laboratory, but also faces the challenge of the complex and variable real-time detection fields. A series of novel coronavirus events were detected in the process of food cold chain packaging and transportation, making the application of molecular diagnosis in food processing, packaging, transportation, and other links urgent. There is an urgent need for a rapid detection technology that can adapt to the diversity and complexity of food safety. SCOPE AND APPROACH This review introduces a new molecular diagnostic technology-biosensor analysis technology based on CRISPR-Cas12a. Systematic clarification of its development process and detection principles. It summarizes and systematically organizes its applications in viruses, food-borne pathogenic bacteria, small molecule detection, etc. In the past four years, which provides a brand-new and comprehensive solution for food detection. Finally, this article puts forward the challenges and the prospects for food safety. KEY FINDINGS AND CONCLUSIONS The novel coronavirus hazards infiltrated every step of the food industry, from processing to packaging to transportation. The biosensor analytical technology based on CRISPR-Cas12a has great potential in the qualitative and quantitative analysis of infectious pathogens. CRISPR-Cas12a can effectively identify the presence of the specific nucleic acid targets and the small changes in sequences, which is particularly important for nucleic acid identification and pathogen detection. In addition, the CRISPR-Cas12a method can be adjusted and reconfigured within days to detect other viruses, providing equipment for nucleic acid diagnostics in the field of food safety. The future work will focus on the development of portable microfluidic devices for multiple detection. Shao et al. employed physical separation methods to separate Cas proteins in different microfluidic channels to achieve multiple detection, and each channel simultaneously detected different targets by adding crRNA with different spacer sequences. Although CRISPR-Cas12a technology has outstanding advantages in detection, there are several technical barriers in the transformation from emerging technologies to practical applications. The newly developed CRISPR-Cas12a-based applications and methods promote the development of numerous diagnostic and detection solutions, and have great potential in medical diagnosis, environmental monitoring, and especially food detection.
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Affiliation(s)
- Zefeng Mao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China,State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin, 300457, China
| | - Ruipeng Chen
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China,State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin, 300457, China
| | - Xiaojuan Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China,State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin, 300457, China
| | - Zixuan Zhou
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Yuan Peng
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Shuang Li
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Dianpeng Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Sen Li
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Yu Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Tie Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China
| | - Jun Liang
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin, 300457, China,Corresponding author
| | - Shuyue Ren
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China,Corresponding author
| | - Zhixian Gao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, China,Corresponding author
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7
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Zhang W, Chen X, Zhang J, Chen X, Zhou L, Wang P, Hong W. Rapid antimicrobial susceptibility testing for mixed bacterial infection in urine by AI-stimulated Raman scattering metabolic imaging. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2022. [DOI: 10.1016/j.medntd.2022.100132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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8
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Qian J, Huang D, Ni D, Zhao J, Shi Z, Fang M, Xu Z. A portable CRISPR Cas12a based lateral flow platform for sensitive detection of Staphylococcus aureus with double insurance. Food Control 2022. [DOI: 10.1016/j.foodcont.2021.108485] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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9
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Liu R, He Y, Lan T, Zhang J. Installing CRISPR-Cas12a sensors in a portable glucose meter for point-of-care detection of analytes. Analyst 2021; 146:3114-3120. [PMID: 33999055 DOI: 10.1039/d1an00008j] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Integrating CRISPR-Cas12a sensors with a portable glucose meter (PGM) was developed based on the target-induced activation of the collateral cleavage activity of Cas12a. Considering the portability, low cost and facile incorporation of the PGM system with suitable Cas12a sensors to recognize many targets, the CRISPR/Cas12a-PGM system demonstrated here paves a way to further broaden the POC applications of CRISPR-based diagnostics.
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Affiliation(s)
- Ran Liu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing 210023, China.
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10
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Shi Y, Fu X, Yin Y, Peng F, Yin X, Ke G, Zhang X. CRISPR-Cas12a System for Biosensing and Gene Regulation. Chem Asian J 2021; 16:857-867. [PMID: 33638271 DOI: 10.1002/asia.202100043] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 02/26/2021] [Indexed: 12/14/2022]
Abstract
Clustered regularly interspaced short palindromic repeats (CRISPR) is a promising technology in the biological world. As one of the CRISPR-associated (Cas) proteins, Cas12a is an RNA-guided nuclease in the type V CRISPR-Cas system, which has been a robust tool for gene editing. In addition, due to the discovery of target-binding-induced indiscriminate single-stranded DNase activity of Cas12a, CRISPR-Cas12a also exhibits great promise in biosensing. This minireview not only gives a brief introduction to the mechanism of CRISPR-Cas12a but also highlights the recent developments and applications in biosensing and gene regulation. Finally, future prospects of the CRISPR-Cas12a system are also discussed. We expect this minireview will inspire innovative work on the CRISPR-Cas12a system by making full use of its features and advantages.
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Affiliation(s)
- Yuyan Shi
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, P. R. China
| | - Xiaoyi Fu
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, P. R. China
| | - Yao Yin
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, P. R. China
| | - Fangqi Peng
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, P. R. China
| | - Xia Yin
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, P. R. China
| | - Guoliang Ke
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, P. R. China
| | - Xiaobing Zhang
- Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, P. R. China
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11
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Huang D, Shi Z, Qian J, Bi K, Fang M, Xu Z. A CRISPR-Cas12a-derived biosensor enabling portable personal glucose meter readout for quantitative detection of SARS-CoV-2. Biotechnol Bioeng 2021; 118:1587-1596. [PMID: 33410130 DOI: 10.1002/bit.27673] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 01/05/2021] [Accepted: 01/05/2021] [Indexed: 12/18/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly throughout the whole world and caused significant difficulties in the prevention and control of the epidemic. In this case, several detection methods have been established based on nucleic acid diagnostic techniques and immunoassays to achieve sensitive and specific detection of SARS-CoV-2. However, most methods are still largely dependent on professional instruments, highly trained operators, and centralized laboratories. These limitations gravely diminish their practicality and portability. Herein, a clustered regularly interspaced short palindromic repeats (CRISPR) Cas12a based assay was developed for portable, rapid and sensitive of SARS-CoV-2. In this assay, samples were quickly pretreated and amplified by reverse transcription recombinase-aided amplification under mild conditions. Then, by combining the CRISPR Cas12a system and a glucose-producing reaction, the signal of the virus was converted to that of glucose, which can be quantitatively read by a personal glucose meter in a few seconds. Nucleocapsid protein gene was tested as a model target, and the sensitivity for quantitative detection was as low as 10 copies/μl, which basically meet the needs of clinical diagnosis. In addition, with the advantages of lower material cost, shorter detection time, and no requirement for professional instrument in comparison with quantitative reverse transcription-polymerase chain reaction, this assay is expected to provide a powerful technical support for the early diagnosis and intervention during epidemic prevention and control.
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Affiliation(s)
- Di Huang
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.,Institute of Biological Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Zhuwei Shi
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.,Institute of Biological Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Jiajie Qian
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.,Institute of Biological Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Ke Bi
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.,Institute of Biological Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Mengjun Fang
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.,Institute of Biological Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
| | - Zhinan Xu
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.,Institute of Biological Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China
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