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Xia Y, Rao R, Xiong M, He B, Zheng B, Jia Y, Li Y, Yang Y. CRISPR-Powered Strategies for Amplification-Free Diagnostics of Infectious Diseases. Anal Chem 2024; 96:8091-8108. [PMID: 38451204 DOI: 10.1021/acs.analchem.3c04363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Affiliation(s)
- Yupiao Xia
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Key Laboratory of Magnetic Resonance in Biological Systems, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - Wuhan National Laboratory for Optoelectronics, Wuhan 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ruotong Rao
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Key Laboratory of Magnetic Resonance in Biological Systems, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - Wuhan National Laboratory for Optoelectronics, Wuhan 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mengqiu Xiong
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Key Laboratory of Magnetic Resonance in Biological Systems, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - Wuhan National Laboratory for Optoelectronics, Wuhan 430071, China
- Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Bangshun He
- Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Bingxin Zheng
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Key Laboratory of Magnetic Resonance in Biological Systems, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - Wuhan National Laboratory for Optoelectronics, Wuhan 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanwei Jia
- State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau 999078, China
| | - Ying Li
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Key Laboratory of Magnetic Resonance in Biological Systems, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - Wuhan National Laboratory for Optoelectronics, Wuhan 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yunhuang Yang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Key Laboratory of Magnetic Resonance in Biological Systems, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences - Wuhan National Laboratory for Optoelectronics, Wuhan 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Optics Valley Laboratory, Hubei 430074, China
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Iida T, Shinoda H, Watanabe R. SATORI: Amplification-free digital RNA detection method for the diagnosis of viral infections. Biophys Physicobiol 2023; 20:e200031. [PMID: 38124795 PMCID: PMC10728625 DOI: 10.2142/biophysico.bppb-v20.0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 07/10/2023] [Indexed: 12/23/2023] Open
Abstract
With the recent global outbreak of COVID-19, there is an urgent need to establish a versatile diagnostic method for viral infections. Gene amplification test or antigen test are widely used to diagnose viral infections; however, these methods generally have technical drawbacks either in terms of sensitivity, accuracy, or throughput. To address this issue, we recently developed an amplification-free digital RNA detection method (SATORI), which can identify and detect viral genes at the single-molecule level in approximately 9 min, satisfying almost all detection performance requirements for the diagnosis of viral infections. In addition, we also developed practical platforms for SATORI, such as an automated platform (opn-SATORI) and a low-cost compact fluorescence imaging system (COWFISH), with the aim of application in clinical settings. Our latest technologies can be inherently applied to diagnose a variety of RNA viral infections, such as COVID-19 and Influenza A/B, and therefore, we expect that SATORI will be established as a versatile platform for point-of-care testing of a wide range of infectious diseases, thus contributing to the prevention of future epidemics. This article is an extended version of the Japanese article published in the SEIBUTSU BUTSURI Vol. 63, p. 115-118 (2023).
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Affiliation(s)
- Tatsuya Iida
- Molecular Physiology Laboratory, Cluster for Pioneering Research, RIKEN, Wako, Saitama 351-0198, Japan
| | - Hajime Shinoda
- Molecular Physiology Laboratory, Cluster for Pioneering Research, RIKEN, Wako, Saitama 351-0198, Japan
| | - Rikiya Watanabe
- Molecular Physiology Laboratory, Cluster for Pioneering Research, RIKEN, Wako, Saitama 351-0198, Japan
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Li S, Guo W, Xiao M, Chen Y, Luo X, Xu W, Zhou J, Wang J. Rapid and Sensitive Diagnosis of COVID-19 Using an Electricity-Free Self-Testing System. BIOSENSORS 2023; 13:180. [PMID: 36831946 PMCID: PMC9953845 DOI: 10.3390/bios13020180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/13/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Rapid and sensitive detection of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for early diagnosis and effective treatment. Nucleic acid testing has been considered the gold standard method for the diagnosis of COVID-19 for its high sensitivity and specificity. However, the polymerase chain reaction (PCR)-based method in the central lab requires expensive equipment and well-trained personnel, which makes it difficult to be used in resource-limited settings. It highlights the need for a sensitive and simple assay that allows potential patients to detect SARS-CoV-2 by themselves. Here, we developed an electricity-free self-testing system based on reverse transcription loop-mediated isothermal amplification (RT-LAMP) that allows for rapid and accurate detection of SARS-CoV-2. Our system employs a heating bag as the heat source, and a 3D-printed box filled with phase change material (PCM) that successfully regulates the temperature for the RT-LAMP. The colorimetric method could be completed in 40 min and the results could be read out by the naked eye. A ratiometric measurement for exact readout was also incorporated to improve the detection accuracy of the system. This self-testing system is a promising tool for point-of-care testing (POCT) that enables rapid and sensitive diagnosis of SARS-CoV-2 in the real world and will improve the current COVID-19 screening efforts for control and mitigation of the pandemic.
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Affiliation(s)
- Sheng Li
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Wenlong Guo
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Minmin Xiao
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Yulin Chen
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Xinyi Luo
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Wenfei Xu
- Zhejiang Provincial Key Laboratory of Applied Enzymology, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, China
| | - Jianhua Zhou
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Jiasi Wang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
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Wang X, Chen Y, Cheng X, Wang SQ, Hu Y, Feng Y, Jin R, Zhou K, Liu T, Wang J, Pan K, Liu B, Xiang J, Wang Y, Zhou Q, Zhang Y, Pan W, Li W. CDetection.v2: One-pot assay for the detection of SARS-CoV-2. Front Microbiol 2023; 14:1158163. [PMID: 37032875 PMCID: PMC10076661 DOI: 10.3389/fmicb.2023.1158163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 03/06/2023] [Indexed: 04/11/2023] Open
Abstract
Introduction The ongoing 2019 coronavirus disease pandemic (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its variants, is a global public health threat. Early diagnosis and identification of SARS-CoV-2 and its variants plays a critical role in COVID-19 prevention and control. Currently, the most widely used technique to detect SARS-CoV-2 is quantitative reverse transcription real-time quantitative PCR (RT-qPCR), which takes nearly 1 hour and should be performed by experienced personnel to ensure the accuracy of results. Therefore, the development of a nucleic acid detection kit with higher sensitivity, faster detection and greater accuracy is important. Methods Here, we optimized the system components and reaction conditions of our previous detection approach by using RT-RAA and Cas12b. Results We developed a Cas12b-assisted one-pot detection platform (CDetection.v2) that allows rapid detection of SARS-CoV-2 in 30 minutes. This platform was able to detect up to 5,000 copies/ml of SARS-CoV-2 without cross-reactivity with other viruses. Moreover, the sensitivity of this CRISPR system was comparable to that of RT-qPCR when tested on 120 clinical samples. Discussion The CDetection.v2 provides a novel one-pot detection approach based on the integration of RT-RAA and CRISPR/Cas12b for detecting SARS-CoV-2 and screening of large-scale clinical samples, offering a more efficient strategy for detecting various types of viruses.
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Affiliation(s)
- Xinge Wang
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
- Bejing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Chinese Academy of Sciences, Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Yangcan Chen
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
- Bejing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Chinese Academy of Sciences, Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Xuejia Cheng
- Beijing SynsorBio Technology Co., Ltd., Beijing, China
| | - Si-Qi Wang
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
- Bejing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Chinese Academy of Sciences, Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Yanping Hu
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
- Bejing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Chinese Academy of Sciences, Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Yingmei Feng
- Department of Science and Technology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Ronghua Jin
- Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Kangping Zhou
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Ti Liu
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Jianxing Wang
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Kai Pan
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Bing Liu
- Tonghua Central Hospital, Tonghua, Jilin, China
| | - Jie Xiang
- Tongji Medical College of Huazhang, Wuhan Jinyintan Hospital, University of Science and Technology, Wuhan, China
| | - Yanping Wang
- Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China
| | - Qi Zhou
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
- Bejing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Chinese Academy of Sciences, Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Ying Zhang
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
- Bejing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Chinese Academy of Sciences, Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Weiye Pan
- Beijing SynsorBio Technology Co., Ltd., Beijing, China
- Weiye Pan,
| | - Wei Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Chinese Academy of Sciences, Institute of Zoology, Beijing, China
- Bejing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Chinese Academy of Sciences, Institute for Stem Cell and Regenerative Medicine, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Wei Li,
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