1
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Sampad MJN, Saiduzzaman SM, Walker ZJ, Wells TN, Wayment JX, Ong EM, Mdaki SD, Tamhankar MA, Yuzvinsky TD, Patterson JL, Hawkins AR, Schmidt H. Label-free and amplification-free viral RNA quantification from primate biofluids using a trapping-assisted optofluidic nanopore platform. Proc Natl Acad Sci U S A 2024; 121:e2400203121. [PMID: 38598338 PMCID: PMC11032468 DOI: 10.1073/pnas.2400203121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/07/2024] [Indexed: 04/12/2024] Open
Abstract
Viral outbreaks can cause widespread disruption, creating the need for diagnostic tools that provide high performance and sample versatility at the point of use with moderate complexity. Current gold standards such as PCR and rapid antigen tests fall short in one or more of these aspects. Here, we report a label-free and amplification-free nanopore sensor platform that overcomes these challenges via direct detection and quantification of viral RNA in clinical samples from a variety of biological fluids. The assay uses an optofluidic chip that combines optical waveguides with a fluidic channel and integrates a solid-state nanopore for sensing of individual biomolecules upon translocation through the pore. High specificity and low limit of detection are ensured by capturing RNA targets on microbeads and collecting them by optical trapping at the nanopore location where targets are released and rapidly detected. We use this device for longitudinal studies of the viral load progression for Zika and Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infections in marmoset and baboon animal models, respectively. The up to million-fold trapping-based target concentration enhancement enables amplification-free RNA quantification across the clinically relevant concentration range down to the assay limit of RT-qPCR as well as cases in which PCR failed. The assay operates across all relevant biofluids, including semen, urine, and whole blood for Zika and nasopharyngeal and throat swab, rectal swab, and bronchoalveolar lavage for SARS-CoV-2. The versatility, performance, simplicity, and potential for full microfluidic integration of the amplification-free nanopore assay points toward a unique approach to molecular diagnostics for nucleic acids, proteins, and other targets.
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Affiliation(s)
| | - S. M. Saiduzzaman
- School of Engineering, University of California, Santa Cruz, CA95064
| | - Zach J. Walker
- Electrical and Computer Engineering Department, Brigham Young University, Provo, UT84602
| | - Tanner N. Wells
- Electrical and Computer Engineering Department, Brigham Young University, Provo, UT84602
| | - Jesse X. Wayment
- Electrical and Computer Engineering Department, Brigham Young University, Provo, UT84602
| | - Ephraim M. Ong
- Electrical and Computer Engineering Department, Brigham Young University, Provo, UT84602
| | | | | | | | | | - Aaron R. Hawkins
- Electrical and Computer Engineering Department, Brigham Young University, Provo, UT84602
| | - Holger Schmidt
- School of Engineering, University of California, Santa Cruz, CA95064
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2
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Talebian S, Dehghani F, Weiss PS, Conde J. Evolution of CRISPR-enabled biosensors for amplification-free nucleic acid detection. Trends Biotechnol 2024; 42:10-13. [PMID: 37516612 DOI: 10.1016/j.tibtech.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/13/2023] [Accepted: 07/13/2023] [Indexed: 07/31/2023]
Abstract
CRISPR biosensors enable rapid and accurate detection of nucleic acids without resorting to target amplification. Specifically, these systems facilitate the simultaneous detection of multiple nucleic acid targets with single-base specificity. This is an invaluable asset that can ultimately facilitate accurate diagnoses of biologically complex diseases.
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Affiliation(s)
- Sepehr Talebian
- School of Chemical and Biomolecular Engineering, The University of Sydney, Sydney, NSW 2006, Australia; Nano Institute (Sydney Nano), The University of Sydney, Sydney, NSW 2006, Australia.
| | - Fariba Dehghani
- School of Chemical and Biomolecular Engineering, The University of Sydney, Sydney, NSW 2006, Australia; Nano Institute (Sydney Nano), The University of Sydney, Sydney, NSW 2006, Australia
| | - Paul S Weiss
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - João Conde
- ToxOmics, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, 1169-056 Lisbon, Portugal.
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3
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Yu L, Peng Y, Sheng M, Wang Q, Huang J, Yang X. Sensitive and Amplification-Free Electrochemiluminescence Biosensor for HPV-16 Detection Based on CRISPR/Cas12a and DNA Tetrahedron Nanostructures. ACS Sens 2023; 8:2852-2858. [PMID: 37402133 DOI: 10.1021/acssensors.3c00806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2023]
Abstract
Rapid and accurate detection of biomarkers was very important for early screening and treatment of diseases. Herein, a sensitive and amplification-free electrochemiluminescence (ECL) biosensor based on CRISPR/Cas12a and DNA tetrahedron nanostructures (TDNs) was constructed. Briefly, 3D TDN was self-assembled on the Au nanoparticle-deposited glassy carbon electrode surface to construct the biosensing interface. The presence of the target would activate the trans-cleavage activity of Cas12a-crRNA duplex to cleave the single-stranded DNA signal probe on the vertex of TDN, causing the Ru(bpy)32+ to fall from the electrode surface and weakened the ECL signal. Thus, the CRISPR/Cas12a system transduced the change of target concentration into an ECL signal enabling the detection of HPV-16. The specific recognition of CRISPR/Cas12a to HPV-16 made the biosensor have good selectivity, while the TDN-modified sensing interface could reduce the cleaving steric resistance and improve the cleaving performance of CRISPR/Cas12a. In addition, the pretreated biosensor could complete sample detection within 100 min with a detection limit of 8.86 fM, indicating that the developed biosensor possesses the potential application prospect for fast and sensitive nucleic acid detection.
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Affiliation(s)
- Linying Yu
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei 230026, Anhui, China
| | - Yao Peng
- Department of Chemistry, University of Science and Technology of China, Hefei 230026, Anhui, China
| | - Mengting Sheng
- Department of Chemistry, University of Science and Technology of China, Hefei 230026, Anhui, China
| | - Qian Wang
- Department of Chemistry, University of Science and Technology of China, Hefei 230026, Anhui, China
| | - Jianshe Huang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, P. R. China
| | - Xiurong Yang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, Jilin, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei 230026, Anhui, China
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4
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Wang D, Wang X, Ye F, Zou J, Qu J, Jiang X. An Integrated Amplification-Free Digital CRISPR/Cas-Assisted Assay for Single Molecule Detection of RNA. ACS Nano 2023; 17:7250-7256. [PMID: 37052221 PMCID: PMC10108731 DOI: 10.1021/acsnano.2c10143] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 04/10/2023] [Indexed: 05/09/2023]
Abstract
Conventional nucleic acid detection technologies usually rely on amplification to improve sensitivity, which has drawbacks, such as amplification bias, complicated operation, high requirements for complex instruments, and aerosol pollution. To address these concerns, we developed an integrated assay for the enrichment and single molecule digital detection of nucleic acid based on a CRISPR/Cas13a and microwell array. In our design, magnetic beads capture and concentrate the target from a large volume of sample, which is 100 times larger than reported earlier. The target-induced CRISPR/Cas13a cutting reaction was then dispersed and limited to a million individual femtoliter-sized microwells, thereby enhancing the local signal intensity to achieve single-molecule detection. The limit of this assay for amplification-free detection of SARS-CoV-2 is 2 aM. The implementation of this study will establish a "sample-in-answer-out" single-RNA detection technology without amplification and improve the sensitivity and specificity while shortening the detection time. This research has broad prospects in clinical application.
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Affiliation(s)
- Dou Wang
- Shenzhen Key Laboratory of Smart Healthcare
Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of
Biomedical Engineering, Southern University of Science and
Technology, No. 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen,
Guangdong 518055, P. R. China
| | - Xuedong Wang
- Shenzhen Key Laboratory of Smart Healthcare
Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of
Biomedical Engineering, Southern University of Science and
Technology, No. 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen,
Guangdong 518055, P. R. China
| | - Feidi Ye
- Department of Clinical Laboratory,
Shenzhen Third People’s Hospital, Second Hospital Affiliated to
Southern University of Science and Technology, National Clinical Research Center for
Infectious Diseases, Guangdong, 518055, P. R.
China
| | - Jin Zou
- Department of Clinical Laboratory,
Shenzhen Third People’s Hospital, Second Hospital Affiliated to
Southern University of Science and Technology, National Clinical Research Center for
Infectious Diseases, Guangdong, 518055, P. R.
China
| | - Jiuxin Qu
- Department of Clinical Laboratory,
Shenzhen Third People’s Hospital, Second Hospital Affiliated to
Southern University of Science and Technology, National Clinical Research Center for
Infectious Diseases, Guangdong, 518055, P. R.
China
| | - Xingyu Jiang
- Shenzhen Key Laboratory of Smart Healthcare
Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of
Biomedical Engineering, Southern University of Science and
Technology, No. 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen,
Guangdong 518055, P. R. China
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5
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Peng C, Wang Y, Chen X, Wang X, Ding L, Xu X, Wei W, Yang L, Wu J, Sun M, Xu J. A Localized CRISPR Assay that Detects Short Nucleic Acid Fragments in Unamplified Genetically Modified Samples. ACS Sens 2023; 8:1054-1063. [PMID: 36802509 DOI: 10.1021/acssensors.2c01955] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
Detecting short genetically modified (GM) nucleic acid fragments in GM crops and associated products is critically important for the global agriculture industry. Although nucleic acid amplification-based technologies have been widely used for genetically modified organism (GMO) detection, they still struggle to amplify and detect these ultra-short nucleic acid fragments in highly processed products. Here, we used a multiple-CRISPR-derived RNA (crRNA) strategy to detect ultra-short nucleic acid fragments. By combining confinement effects on local concentrations, an amplification-free CRISPR-based short nucleic acid (CRISPRsna) system was established to detect the cauliflower mosaic virus 35S promoter in GM samples. Moreover, we demonstrated assay sensitivity, specificity, and reliability by directly detecting nucleic acid samples from GM crops with a wide genomic range. The CRISPRsna assay avoided possible aerosol contamination from nucleic acid amplification and saved time due to an amplification-free approach. Given that our assay displayed distinct advantages over other technologies in detecting ultra-short nucleic acid fragments, it may have wide applications for detecting GM in highly processed products.
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Affiliation(s)
- Cheng Peng
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Yuling Wang
- College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, China
| | - Xiaoyun Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Xiaofu Wang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Lin Ding
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Xiaoli Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Wei Wei
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Lei Yang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Jian Wu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Meihao Sun
- College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, China
| | - Junfeng Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
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6
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Wang Y, Yan T, Mei K, Rao D, Wu W, Chen Y, Peng Y, Wang J, Wu S, Zhang Q. Nanomechanical assay for ultrasensitive and rapid detection of SARS-CoV-2 based on peptide nucleic acid. Nano Res 2023; 16:1183-1195. [PMID: 35610981 PMCID: PMC9118818 DOI: 10.1007/s12274-022-4333-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/14/2022] [Accepted: 03/16/2022] [Indexed: 05/14/2023]
Abstract
UNLABELLED The massive global spread of the COVID-19 pandemic makes the development of more effective and easily popularized assays critical. Here, we developed an ultrasensitive nanomechanical method based on microcantilever array and peptide nucleic acid (PNA) for the detection of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) RNA. The method has an extremely low detection limit of 0.1 fM (105 copies/mL) for N-gene specific sequence (20 bp). Interestingly, it was further found that the detection limit of N gene (pharyngeal swab sample) was even lower, reaching 50 copies/mL. The large size of the N gene dramatically enhances the sensitivity of the nanomechanical sensor by up to three orders of magnitude. The detection limit of this amplification-free assay method is an order of magnitude lower than RT-PCR (500 copies/mL) that requires amplification. The non-specific signal in the assay is eliminated by the in-situ comparison of the array, reducing the false-positive misdiagnosis rate. The method is amplification-free and label-free, allowing for accurate diagnosis within 1 h. The strong specificity and ultra-sensitivity allow single base mutations in viruses to be distinguished even at very low concentrations. Also, the method remains sensitive to fM magnitude lung cancer marker (miRNA-155). Therefore, this ultrasensitive, amplification-free and inexpensive assay is expected to be used for the early diagnosis of COVID-19 patients and to be extended as a broad detection tool. ELECTRONIC SUPPLEMENTARY MATERIAL Supplementary material (experimental section, N gene sequences and all nucleic acid sequences used in the study, Figs. S1-S6, and Tables S1-S3) is available in the online version of this article at 10.1007/s12274-022-4333-3.
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Affiliation(s)
- Yu Wang
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027 China
| | - Tianhao Yan
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027 China
| | - Kainan Mei
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027 China
| | - Depeng Rao
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027 China
| | - Wenjie Wu
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027 China
| | - Ye Chen
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027 China
| | - Yongpei Peng
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027 China
| | - Jianye Wang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, First Affiliated Hospital of Anhui Medical University, Hefei, 230022 China
| | - Shangquan Wu
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027 China
| | - Qingchuan Zhang
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027 China
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7
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Li J, Tang L, Li T, Li K, Zhang Y, Ni W, Xiao MM, Zhao Y, Zhang ZY, Zhang GJ. Tandem Cas13a/crRNA-Mediated CRISPR-FET Biosensor: A One-for-All Check Station for Virus without Amplification. ACS Sens 2022; 7:2680-2690. [PMID: 36073895 DOI: 10.1021/acssensors.2c01200] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
The path toward field-effect transistor (FET) application from laboratory to clinic has delivered a compelling push in the biomedical domain, yet ultrasensitive and timely pathogen identification without PCR remains a long-lasting challenge. Herein, we create a generic check station termed "CRISPR-FET", first incorporating the CRISPR/Cas13a system within the FET modality, for accelerated and unamplified detection of viral RNA. Unlike conventional FETs bearing target-specific receptors, this sensor holds three unique advancements: (i) an ingenious sensing mechanism is used, which converts the signal of a large-sized analyte into an on-chip cleavage response of an immobilized CRISPR reporter, enabling signal generation events to occur all within the Debye length; (ii) the multipurpose inspection of the CoV ORF1ab, CoV N gene, and HCV RNA unveils the potential for "one-for-all" scalable FET-based molecular diagnostics; and (iii) it is shown that Cas13a-crRNAs targeting different sites of the viral genome can be deployed in tandem to amplify the FET response, empowering the detection limit down to 1.56 aM, which is a world-record level of sensitivity in the FET for direct viral gene sensing. Notably, a brilliant clinical applicability was made in distinguishing HCV-infected patients from normal controls. Overall, this study sheds new insights into FET-based nucleic acid sensing technology and invokes a vision for its possible future roles in diagnosis of various viral diseases.
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Affiliation(s)
- Jiahao Li
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P.R. China
| | - Lina Tang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P.R. China
| | - Tingxian Li
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P.R. China
| | - Kun Li
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P.R. China
| | - Yulin Zhang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P.R. China
| | - Wei Ni
- Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan 430061, China
| | - Meng-Meng Xiao
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan 411105, P. R. China
| | - Youyun Zhao
- Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan 430061, China
| | - Zhi-Yong Zhang
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan 411105, P. R. China
| | - Guo-Jun Zhang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P.R. China
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8
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Elliott CI, Stotesbury TE, Shafer ABA. Using total RNA quality metrics for time since deposition estimates in degrading bloodstains. J Forensic Sci 2022; 67:1776-1785. [PMID: 35665927 DOI: 10.1111/1556-4029.15072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/15/2022] [Accepted: 05/24/2022] [Indexed: 12/23/2022]
Abstract
The physicochemical changes occurring in biomolecules in degrading bloodstains can be used to approximate the time since deposition (TSD) of bloodstains. This would provide forensic scientists with critical information regarding the timeline of the events involving bloodshed. Our study aims to quantify the timewise degradation trends and temperature dependence found in total RNA from bloodstains without the use of amplification, expanding the scope of the RNA TSD research which has traditionally targeted mRNA and miRNA. Bovine blood with ACD-A anticoagulant was deposited and stored in plastic microcentrifuge tubes at 21 or 4°C and tested over different timepoints spanning 1 week. Total RNA was extracted from each sample and analyzed using automated high sensitivity gel electrophoresis. Nine RNA metrics were visually assessed and quantified using linear and mixed models. The RNA Integrity Number equivalent (RINe) and DV200 were not influenced by the addition of anticoagulant and demonstrated strong negative trends over time. The RINe model fit was high (R2 = 0.60), and while including the biological replicate as a random effect increased the fit for all RNA metrics, no significant differences were found between biological replicates stored at the same temperature for the RINe and DV200. This suggests that these standardized metrics can be directly compared between scenarios and individuals, with DV200 having an inflection point at approximately 28 h. This study provides a novel approach for blood TSD research, revealing metrics that are not affected by inter-individual variation, and improving our understanding of the rapid RNA degradation occurring in bloodstains.
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Affiliation(s)
- Colin I Elliott
- Department of Forensic Science, Trent University, Peterborough, Ontario, Canada.,Applied Bioscience Graduate Program, Faculty of Science, Ontario Tech University, Oshawa, Ontario, Canada
| | - Theresa E Stotesbury
- Faculty of Science, Forensic Science, Ontario Tech University, Oshawa, Ontario, Canada
| | - Aaron B A Shafer
- Department of Forensic Science, Trent University, Peterborough, Ontario, Canada.,Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
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9
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Zhang J, Lv H, Li L, Chen M, Gu D, Wang J, Xu Y. Recent Improvements in CRISPR-Based Amplification-Free Pathogen Detection. Front Microbiol 2021; 12:751408. [PMID: 34659186 PMCID: PMC8515055 DOI: 10.3389/fmicb.2021.751408] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 09/09/2021] [Indexed: 12/26/2022] Open
Abstract
Molecular diagnostic (MDx) methods directly detect target nucleic acid sequences and are therefore an important approach for precise diagnosis of pathogen infection. In comparison with traditional MDx techniques such as PCR, the recently developed CRISPR-based diagnostic technologies, which employ the single-stranded nucleic acid trans-cleavage activities of either Cas12 or Cas13, show merits in both sensitivity and specificity and therefore have great potential in both pathogen detection and beyond. With more and more efforts in improving both the CRISPR trans-cleavage efficiencies and the signal detection sensitivities, CRISPR-based direct detection of target nucleic acids without preamplification can be a possibility. Here in this mini-review, we summarize recent research progresses of amplification-free CRISPR-Dx systems and explore the potential changes they will lead to pathogen diagnosis. In addition, discussion of the challenges for both detection sensitivity and cost of the amplification-free systems will also be covered.
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Affiliation(s)
- Jian Zhang
- Department of Clinical Laboratory, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.,Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hailong Lv
- Department of Clinical Laboratory, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.,Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Department of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, China
| | - Linxian Li
- Department of Clinical Laboratory, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Minjie Chen
- Department of Clinical Laboratory, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Dayong Gu
- Department of Clinical Laboratory, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Jin Wang
- Department of Clinical Laboratory, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.,Guangdong Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Yong Xu
- Department of Clinical Laboratory, Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
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10
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Abstract
Detection of nucleic acid without amplification can avoid problems associated with thermal cycling such as labor-intensiveness and aerosol pollution. Here we develop a droplet-based digital microfluidic hybridization assay for nucleic acid detection with attomolar sensitivity. This assay provides a clinically useful sensitivity for detecting human papillomavirus (HPV) without amplification. The sensitivity is accomplished using femtoliter-sized droplet microfluidics for concentrating enzyme-catalyzed fluorescent products into a detectable signal and magnetic beads for accelerating reaction time. Meanwhile, using magnetic beads and droplet microfluidic chips, we can improve the sampling efficiency over conventional methods. We characterized the sensitivity, selectivity, detection range, stability, and accuracy of our assay. Our assay is 50-fold more sensitive than the traditional hybrid capture assay. The assay without amplification avoids problems of complex handling procedures and aerosol pollution. The direct and sensitive detection of nucleic acid using a droplet microfluidic system provides an early disease diagnosis tool.
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Affiliation(s)
- Lei Mou
- Department of Clinical Laboratory, Third Affiliated Hospital of Guangzhou Medical University, No. 63 Duobao Road, Liwan District, Guangzhou, Guangdong 510150, P. R. China
- Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
| | - Honghai Hong
- Department of Clinical Laboratory, Third Affiliated Hospital of Guangzhou Medical University, No. 63 Duobao Road, Liwan District, Guangzhou, Guangdong 510150, P. R. China
| | - Xiaojian Xu
- Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
| | - Yong Xia
- Department of Clinical Laboratory, Third Affiliated Hospital of Guangzhou Medical University, No. 63 Duobao Road, Liwan District, Guangzhou, Guangdong 510150, P. R. China
| | - Xingyu Jiang
- Department of Clinical Laboratory, Third Affiliated Hospital of Guangzhou Medical University, No. 63 Duobao Road, Liwan District, Guangzhou, Guangdong 510150, P. R. China
- Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
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Qin P, Park M, Alfson KJ, Tamhankar M, Carrion R, Patterson JL, Griffiths A, He Q, Yildiz A, Mathies R, Du K. Rapid and Fully Microfluidic Ebola Virus Detection with CRISPR-Cas13a. ACS Sens 2019; 4:1048-1054. [PMID: 30860365 DOI: 10.1021/acssensors.9b00239] [Citation(s) in RCA: 161] [Impact Index Per Article: 32.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Highly infectious illness caused by pathogens is endemic especially in developing nations where there is limited laboratory infrastructure and trained personnel. Rapid point-of-care (POC) serological assays with minimal sample manipulation and low cost are desired in clinical practice. In this study, we report an automated POC system for Ebola RNA detection with RNA-guided RNA endonuclease Cas13a, utilizing its collateral RNA degradation after its activation. After automated microfluidic mixing and hybridization, nonspecific cleavage products of Cas13a are immediately measured by a custom integrated fluorometer which is small in size and convenient for in-field diagnosis. Within 5 min, a detection limit of 20 pfu/mL (5.45 × 107 copies/mL) of purified Ebola RNA is achieved. This isothermal and fully solution-based diagnostic method is rapid, amplification-free, simple, and sensitive, thus establishing a key technology toward a useful POC diagnostic platform.
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Affiliation(s)
- Peiwu Qin
- Department of Physics, University of California, Berkeley, Berkeley, California 94720, United States
- Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
| | - Myeongkee Park
- Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, United States
- Department of Chemistry, Dong-A University, Busan 49315, Republic of Korea
| | - Kendra J. Alfson
- Department of Virology and Immunology, Texas Biomedical Research Institute, San Antonio, Texas 78227, United States
| | - Manasi Tamhankar
- Department of Virology and Immunology, Texas Biomedical Research Institute, San Antonio, Texas 78227, United States
| | - Ricardo Carrion
- Department of Virology and Immunology, Texas Biomedical Research Institute, San Antonio, Texas 78227, United States
| | - Jean L. Patterson
- Department of Virology and Immunology, Texas Biomedical Research Institute, San Antonio, Texas 78227, United States
| | - Anthony Griffiths
- Department of Virology and Immunology, Texas Biomedical Research Institute, San Antonio, Texas 78227, United States
- Department of Microbiology and National Emerging Infectious Diseases Laboratories, Boston University, Boston, Massachusetts 02118, United States
| | - Qian He
- Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, China
- Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, New York 14623, United States
| | - Ahmet Yildiz
- Department of Physics, University of California, Berkeley, Berkeley, California 94720, United States
| | - Richard Mathies
- Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, United States
| | - Ke Du
- Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, United States
- Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, New York 14623, United States
- Department of Microsystems Engineering, Rochester Institute of Technology, Rochester, New York 14623, United States
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12
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Yen TM, Zhang T, Chen PW, Ku TH, Chiu YJ, Lian I, Lo YH. Self-Assembled Pico-Liter Droplet Microarray for Ultrasensitive Nucleic Acid Quantification. ACS Nano 2015; 9:10655-63. [PMID: 26435065 DOI: 10.1021/acsnano.5b03848] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Nucleic acid detection and quantification technologies have made remarkable progress in recent years. Among existing platforms, hybridization-based assays have the advantages of being amplification free, low instrument cost, and high throughput, but are generally less sensitive compared to sequencing and PCR assays. To bridge this performance gap, we developed a quantitative physical model for the hybridization-based assay to guide the experimental design, which leads to a pico-liter droplet environment with drastically enhanced performance and detection limit several order above any current microarray platform. The pico-liter droplet hybridization platform is further coupled with the on-chip enrichment technique to yield ultrahigh sensitivity both in terms of target concentration and copy number. Our physical model, taking into account of molecular transport, electrostatic intermolecular interactions, reaction kinetics, suggests that reducing liquid height and optimizing target concentration will maximize the hybridization efficiency, and both conditions can be satisfied in a highly parallel, self-assembled pico-liter droplet microarray that produces a detection limit as low as 570 copies and 50 aM. The pico-liter droplet array device is realized with a micropatterned superhydrophobic black silicon surface that allows enrichment of nucleic acid samples by position-defined evaporation. With on-chip enrichment and oil encapsulated pico-liter droplet arrays, we have demonstrated a record high sensitivity, wide dynamic range (6 orders of magnitude), and marked reduction of hybridization time from >10 h to <5 min in a highly repeatable fashion, benefiting from the physics-driven design and nanofeatures of the device. The design principle and technology can contribute to biomedical sensing and point-of-care clinical applications such as pathogen detection and cancer diagnosis and prognosis.
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Affiliation(s)
- Tony M Yen
- Department of Bioengineering, University of California San Diego , La Jolla, California 92093-0412, United States
| | - Tiantian Zhang
- Materials Science and Engineering Program, University of California San Diego , La Jolla, California 92093-0418, United States
| | - Ping-Wei Chen
- Chemical Engineering Program, University of California San Diego , La Jolla, California 92093-0448, United States
| | - Ti-Hsuan Ku
- Department of Electrical and Computer Engineering, University of California San Diego , La Jolla, California 92093-0407, United States
| | - Yu-Jui Chiu
- Materials Science and Engineering Program, University of California San Diego , La Jolla, California 92093-0418, United States
| | - Ian Lian
- Department of Biology, Lamar University , Beaumont, Texas 77710, United States
| | - Yu-Hwa Lo
- Department of Electrical and Computer Engineering, University of California San Diego , La Jolla, California 92093-0407, United States
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