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Sousa TASL, Almeida NBF, Santos FA, Filgueiras PS, Corsini CA, Lacerda CMS, Silva TG, Grenfell RFQ, Plentz F. Ultrafast and highly sensitive detection of SARS-CoV-2 spike protein by field-effect transistor graphene-based biosensors. NANOTECHNOLOGY 2024; 35:425503. [PMID: 39059417 DOI: 10.1088/1361-6528/ad67e8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 07/26/2024] [Indexed: 07/28/2024]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), etiological agent for the coronavirus disease 2019 (COVID-19), has resulted in over 775 million global infections. Early diagnosis remains pivotal for effective epidemiological surveillance despite the availability of vaccines. Antigen-based assays are advantageous for early COVID-19 detection due to their simplicity, cost-effectiveness, and suitability for point-of-care testing (PoCT). This study introduces a graphene field-effect transistor-based biosensor designed for high sensitivity and rapid response to the SARS-CoV-2 spike protein. By functionalizing graphene with monoclonal antibodies and applying short-duration gate voltage pulses, we achieve selective detection of the viral spike protein in human serum within 100 µs and at concentrations as low as 1 fg ml-1, equivalent to 8 antigen molecules perµl of blood. Furthermore, the biosensor estimates spike protein concentrations in serum from COVID-19 patients. Our platform demonstrates potential for next-generation PoCT antigen assays, promising fast and sensitive diagnostics for COVID-19 and other infectious diseases.
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Affiliation(s)
- Thiago A S L Sousa
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
- DTU Physics, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Nathalie B F Almeida
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
- Instituto René Rachou-Fundação Oswaldo Cruz, Avenida Augusto de Lima 1715, Belo Horizonte, Minas Gerais 30190-002, Brazil
| | - Fabrício A Santos
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Priscilla S Filgueiras
- Instituto René Rachou-Fundação Oswaldo Cruz, Avenida Augusto de Lima 1715, Belo Horizonte, Minas Gerais 30190-002, Brazil
| | - Camila A Corsini
- Instituto René Rachou-Fundação Oswaldo Cruz, Avenida Augusto de Lima 1715, Belo Horizonte, Minas Gerais 30190-002, Brazil
| | - Camila M S Lacerda
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Thais G Silva
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Rafaella F Q Grenfell
- Instituto René Rachou-Fundação Oswaldo Cruz, Avenida Augusto de Lima 1715, Belo Horizonte, Minas Gerais 30190-002, Brazil
| | - Flavio Plentz
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
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2
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Sun A, Vopařilová P, Liu X, Kou B, Řezníček T, Lednický T, Ni S, Kudr J, Zítka O, Fohlerová Z, Pajer P, Zhang H, Neužil P. An integrated microfluidic platform for nucleic acid testing. MICROSYSTEMS & NANOENGINEERING 2024; 10:66. [PMID: 38784376 PMCID: PMC11111744 DOI: 10.1038/s41378-024-00677-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/30/2023] [Accepted: 01/07/2024] [Indexed: 05/25/2024]
Abstract
This study presents a rapid and versatile low-cost sample-to-answer system for SARS-CoV-2 diagnostics. The system integrates the extraction and purification of nucleic acids, followed by amplification via either reverse transcription-quantitative polymerase chain reaction (RT-qPCR) or reverse transcription loop-mediated isothermal amplification (RT-LAMP). By meeting diverse diagnostic and reagent needs, the platform yields testing results that closely align with those of commercial RT-LAMP and RT‒qPCR systems. Notable advantages of our system include its speed and cost-effectiveness. The assay is completed within 28 min, including sample loading (5 min), ribonucleic acid (RNA) extraction (3 min), and RT-LAMP (20 min). The cost of each assay is ≈ $9.5, and this pricing is competitive against that of Food and Drug Administration (FDA)-approved commercial alternatives. Although some RNA loss during on-chip extraction is observed, the platform maintains a potential limit of detection lower than 297 copies. Portability makes the system particularly useful in environments where centralized laboratories are either unavailable or inconveniently located. Another key feature is the platform's versatility, allowing users to choose between RT‒qPCR or RT‒LAMP tests based on specific requirements.
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Affiliation(s)
- Antao Sun
- Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace; School of Mechanical Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an, Shaanxi 710072 P. R. China
| | - Petra Vopařilová
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemědělská 1, 61300 Brno, Czech Republic
| | - Xiaocheng Liu
- Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace; School of Mechanical Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an, Shaanxi 710072 P. R. China
| | - Bingqian Kou
- Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace; School of Mechanical Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an, Shaanxi 710072 P. R. China
| | - Tomáš Řezníček
- ITD Tech s.r.o, Osvoboditelů 1005, 735 81 Bohumín, Czech Republic
| | - Tomáš Lednický
- Central European Institute of Technology, Brno University of Technology, Purkyňova 123, Brno, 61200 Czech Republic
| | - Sheng Ni
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Jiří Kudr
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemědělská 1, 61300 Brno, Czech Republic
| | - Ondřej Zítka
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemědělská 1, 61300 Brno, Czech Republic
| | - Zdenka Fohlerová
- Department of Microelectronics, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technická 3058/10, Brno, 61600 Czech Republic
| | - Petr Pajer
- Military Health Institute, U Vojenské nemocnice 1200, 16200 Praha 6, Czech Republic
| | - Haoqing Zhang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049 P. R. China
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an, 710049 P. R. China
| | - Pavel Neužil
- Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace; School of Mechanical Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an, Shaanxi 710072 P. R. China
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3
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Koirala D, Dalbec F, May J, Hamal K, Allen PB, Cheng IF. Biosensing with Polymerase Chain Reaction-Stable DNA-Functionalized Magnetically Susceptible Carbon-Iron Microparticles. Anal Chem 2023; 95:16631-16638. [PMID: 37904495 DOI: 10.1021/acs.analchem.3c02978] [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: 11/01/2023]
Abstract
We demonstrate a rapid and sensitive method for DNA detection without the need for fluorescence. This is based on carbon-coated magnetic iron (Fe) microparticles with a covalent surface attachment of DNA. We show that these magnetic microparticles can capture complementary DNA. Significantly, the DNA covalent surface bonds are robust to high temperatures and can be included in a sample during polymerase chain reaction (PCR). This method is employed for the detection of targeted DNA sequences (40-50 bp). Hybridization probes on the surface of the magnetically susceptible Fe microparticle recognize the target DNA sequence-specifically. The double-stranded DNA (dsDNA) microparticles are then quickly captured with a magnet from the sample matrix. This foregoes postpurification processes, such as electrophoresis, which make our technique time- and cost-effective. Captured dsDNA can be detected with intercalating dyes such as ethidium bromide through a loss in the UV absorption signal with a limit of detection (LOD) of 24 nM within 15 min. Likewise, surface-bound DNA can act as a primer in PCR to decrease the LOD to 5 pM within 2 h. This is the first instance of a nucleotide-modified magnetically susceptible carbon substrate that is PCR-compatible. Besides DNA capture, this strategy can eventually be applied to sequence-specific nucleic acid purification and enrichment, PCR cleanup, and single-strand generation. The DNA-coated particles are stable under PCR conditions (unlike commonly used polystyrene or gold particles).
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Affiliation(s)
- Dipak Koirala
- Department of Chemistry, University of Idaho, 875 Perimeter Dr, MS 2343, Moscow, Idaho 83844, United States
| | - Forrest Dalbec
- Department of Chemistry, University of Idaho, 875 Perimeter Dr, MS 2343, Moscow, Idaho 83844, United States
| | - Jeremy May
- Department of Chemistry, University of Idaho, 875 Perimeter Dr, MS 2343, Moscow, Idaho 83844, United States
| | - Kailash Hamal
- Department of Chemistry, University of Idaho, 875 Perimeter Dr, MS 2343, Moscow, Idaho 83844, United States
| | - Peter B Allen
- Department of Chemistry, University of Idaho, 875 Perimeter Dr, MS 2343, Moscow, Idaho 83844, United States
| | - I Francis Cheng
- Department of Chemistry, University of Idaho, 875 Perimeter Dr, MS 2343, Moscow, Idaho 83844, United States
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4
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Tarakanov R, Ignatov A, Evseev P, Chebanenko S, Ignatyeva I, Miroshnikov K, Dzhalilov F. Development of a multiplex real-time PCR method for the detection of Pseudomonas savastanoi pv. glycinea and Curtobacterium flaccumfaciens pv. flaccumfaciens in soybean seeds. BRAZ J BIOL 2023; 83:e275505. [PMID: 37909592 DOI: 10.1590/1519-6984.275505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 08/23/2023] [Indexed: 11/03/2023] Open
Abstract
Multiplex real-time PCR with TaqMan® probes has been developed for the simultaneous detection of soybean pathogens Pseudomonas savastanoi pv. glycinea and Curtobacterium flaccumfaciens pv. flaccumfaciens. The method specificity has been confirmed using 25 strains of target bacteria and 18 strains of other bacteria common to soybean seeds as endophytes. The multiplex real-time PCR developed has been shown to have high sensitivity - a positive result was achieved at 0.01 ng/µl of DNA for both target organisms, and at 100 CFU/ml of bacteria in soybean seed homogenate. The robustness of the multiplex real-time PCR developed has been verified by the detection of the pathogens in 25 commercial seed stocks, in comparison with previously published PCR protocols. In all tests, three seed stocks were positive and 22 were negative. The multiplex real-time PCR can be applied in diagnostic practice for the simultaneous detection of two important pathogens of leguminous plants.
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Affiliation(s)
- R Tarakanov
- Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russia
| | - A Ignatov
- Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russia
- People's Friendship University of Russia - RUDN University, Moscow, Russia
| | - P Evseev
- Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
| | - S Chebanenko
- Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russia
| | - I Ignatyeva
- All-Russian Plant Quarantine Centre, Moscow region, Russia
| | - K Miroshnikov
- Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
| | - F Dzhalilov
- Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russia
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5
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Tokamani M, Figgou E, Papamichail L, Sakka E, Toros A, Bouchorikou A, Giannakakis A, Matthaiou EI, Sandaltzopoulos R. A Multiplex PCR Melting-Curve-Analysis-Based Detection Method for the Discrimination of Five Aspergillus Species. J Fungi (Basel) 2023; 9:842. [PMID: 37623613 PMCID: PMC10455196 DOI: 10.3390/jof9080842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 08/07/2023] [Accepted: 08/07/2023] [Indexed: 08/26/2023] Open
Abstract
Aspergillus mold is a ubiquitously found, airborne pathogen that can cause a variety of diseases from mild to life-threatening in severity. Limitations in diagnostic methods combined with anti-fungal resistance render Aspergillus a global emerging pathogen. In industry, Aspergilli produce toxins, such as aflatoxins, which can cause food spoilage and pose public health risk issues. Here, we report a multiplex qPCR method for the detection and identification of the five most common pathogenic Aspergillus species, Aspergillus fumigatus, Aspergillus flavus, Aspergillus niger, Aspergillus terreus, and Aspergillus nidulans. Our approach exploits species-specific nucleotide polymorphisms within their ITS genomic regions. This novel assay combines multiplex single-color real time qPCR and melting curve analysis and provides a straight-forward, rapid, and cost-effective detection method that can identify five Aspergillus species simultaneously in a single reaction using only six unlabeled primers. Due to their unique fragment lengths, the resulting amplicons are directly linked to certain Aspergillus species like fingerprints, following either electrophoresis or melting curve analysis. Our method is characterized by high analytical sensitivity and specificity, so it may serve as a useful and inexpensive tool for Aspergillus diagnostic applications both in health care and the food industry.
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Affiliation(s)
- Maria Tokamani
- Department of Molecular Biology and Genetics, Faculty of Health Sciences, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (M.T.); (E.F.); (L.P.); (E.S.); (A.T.); (A.B.); (A.G.)
| | - Eleftheria Figgou
- Department of Molecular Biology and Genetics, Faculty of Health Sciences, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (M.T.); (E.F.); (L.P.); (E.S.); (A.T.); (A.B.); (A.G.)
| | - Lito Papamichail
- Department of Molecular Biology and Genetics, Faculty of Health Sciences, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (M.T.); (E.F.); (L.P.); (E.S.); (A.T.); (A.B.); (A.G.)
| | - Eleni Sakka
- Department of Molecular Biology and Genetics, Faculty of Health Sciences, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (M.T.); (E.F.); (L.P.); (E.S.); (A.T.); (A.B.); (A.G.)
| | - Athanasios Toros
- Department of Molecular Biology and Genetics, Faculty of Health Sciences, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (M.T.); (E.F.); (L.P.); (E.S.); (A.T.); (A.B.); (A.G.)
| | - Anastasia Bouchorikou
- Department of Molecular Biology and Genetics, Faculty of Health Sciences, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (M.T.); (E.F.); (L.P.); (E.S.); (A.T.); (A.B.); (A.G.)
| | - Antonis Giannakakis
- Department of Molecular Biology and Genetics, Faculty of Health Sciences, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (M.T.); (E.F.); (L.P.); (E.S.); (A.T.); (A.B.); (A.G.)
| | - Efthymia Iliana Matthaiou
- Department of Medicine, Division of Pulmonary Allergy and Critical Care Medicine, School of Medicine, Stanford University, Stanford, CA 94305, USA;
| | - Raphael Sandaltzopoulos
- Department of Molecular Biology and Genetics, Faculty of Health Sciences, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (M.T.); (E.F.); (L.P.); (E.S.); (A.T.); (A.B.); (A.G.)
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6
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Cao C, You M, Tong H, Xue Z, Liu C, He W, Peng P, Yao C, Li A, Xu X, Xu F. Similar color analysis based on deep learning (SCAD) for multiplex digital PCR via a single fluorescent channel. LAB ON A CHIP 2022; 22:3837-3847. [PMID: 36073361 DOI: 10.1039/d2lc00637e] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Digital PCR (dPCR) has recently attracted great interest due to its high sensitivity and accuracy. However, the existing dPCR depends on multicolor fluorescent dyes and multiple fluorescent channels to achieve multiplex detection, resulting in increased detection cost and limited detection throughput. Here, we developed a deep learning-based similar color analysis method, namely SCAD, to achieve multiplex dPCR in a single fluorescent channel. As a demonstration, we designed a microwell chip-based diplex dPCR system for detecting two genes (blaNDM and blaVIM) with two kinds of green fluorescent probes, whose emission colors are difficult to discriminate by traditional fluorescence intensity-based methods. To verify the possibility of deep learning algorithms to distinguish the similar colors, we first applied t-distributed stochastic neighbor embedding (tSNE) to make a clustering map for the microwells with similar fluorescence. Then, we trained a Vision Transformer (ViT) model on 10 000 microwells with two similar colors and tested it with 262 202 microwells. Lastly, the trained model was proven to have highly accurate classification ability (>98% for both the training set and the test set) and precise quantification ability on both blaNDM and blaVIM (ratio difference <0.10). We envision that the developed SCAD method would significantly expand the detection throughput of dPCR without the need for other auxiliary equipment.
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Affiliation(s)
- Chaoyu Cao
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China
| | - Minli You
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China
| | - Haoyang Tong
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China
| | - Zhenrui Xue
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China
- Department of Transfusion Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, P.R. China
| | - Chang Liu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China
| | - Wanghong He
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Ping Peng
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China
- Department of Transfusion Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, P.R. China
| | - Chunyan Yao
- Department of Transfusion Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, P.R. China
| | - Ang Li
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China
| | - Xiayu Xu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China
| | - Feng Xu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an 710049, P.R. China
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7
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Shin M, Kang JW, Kang DH. A study on antibiotic resistance gene degradation in fresh produce using peracetic acid combined with an ultraviolet-C light-emitting-diode. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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8
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Zhang H, Laššáková S, Yan Z, Wang X, Šenkyřík P, Gaňová M, Chang H, Korabecna M, Neuzil P. Digital polymerase chain reaction duplexing method in a single fluorescence channel. Anal Chim Acta 2022; 1238:340243. [DOI: 10.1016/j.aca.2022.340243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 07/28/2022] [Accepted: 08/02/2022] [Indexed: 11/24/2022]
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9
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Hernandez MM, Banu R, Gonzalez-Reiche AS, Gray B, Shrestha P, Cao L, Chen F, Shi H, Hanna A, Ramírez JD, van de Guchte A, Sebra R, Gitman MR, Nowak MD, Cordon-Cardo C, Schutzbank TE, Simon V, van Bakel H, Sordillo EM, Paniz-Mondolfi AE. RT-PCR and Matrix-Assisted Laser Desorption-Ionization Time-of-Flight Mass Spectrometry Diagnostic Target Performance Reflects Circulating Severe Acute Respiratory Syndrome Coronavirus 2 Variant Diversity in New York City. J Mol Diagn 2022; 24:738-749. [PMID: 35525388 PMCID: PMC9067105 DOI: 10.1016/j.jmoldx.2022.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 03/07/2022] [Accepted: 04/06/2022] [Indexed: 12/20/2022] Open
Abstract
As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to circulate, multiple variants of concern have emerged. New variants pose challenges for diagnostic platforms because sequence diversity can alter primer/probe-binding sites (PBSs), causing false-negative results. The Agena MassARRAY SARS-CoV-2 Panel (Agena Bioscience) uses RT-PCR and mass spectrometry to detect five multiplex targets across N and ORF1ab genes. Herein, we use a data set of 256 SARS-CoV-2-positive specimens collected between April 11, 2021, and August 28, 2021, to evaluate target performance with paired sequencing data. During this time frame, two targets in the N gene (N2 and N3) were subject to the greatest sequence diversity. In specimens with N3 dropout, 69% harbored the Alpha-specific A28095U polymorphism that introduces a 3'-mismatch to the N3 forward PBS and increases risk of target dropout relative to specimens with 28095A (relative risk, 20.02; 95% CI, 11.36 to 35.72; P < 0.0001). Furthermore, among specimens with N2 dropout, 90% harbored the Delta-specific G28916U polymorphism that creates a 3'-mismatch to the N2 probe PBS and increases target dropout risk (relative risk, 11.92; 95% CI, 8.17 to 14.06; P < 0.0001). These findings highlight the robust capability of Agena MassARRAY SARS-CoV-2 Panel target results to reveal circulating virus diversity, and they underscore the power of multitarget design to capture variants of concern.
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Affiliation(s)
- Matthew M Hernandez
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
| | - Radhika Banu
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ana S Gonzalez-Reiche
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Brandon Gray
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Paras Shrestha
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Liyong Cao
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Feng Chen
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Huanzhi Shi
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ayman Hanna
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Juan David Ramírez
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
| | - Adriana van de Guchte
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Sema4, a Mount Sinai venture, Stamford, Connecticut
| | - Melissa R Gitman
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Michael D Nowak
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Carlos Cordon-Cardo
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Viviana Simon
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York; Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; The Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Harm van Bakel
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Emilia Mia Sordillo
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Alberto E Paniz-Mondolfi
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
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Yan Z, Zhang H, Wang X, Gaňová M, Lednický T, Zhu H, Liu X, Korabečná M, Chang H, Neužil P. An image-to-answer algorithm for fully automated digital PCR image processing. LAB ON A CHIP 2022; 22:1333-1343. [PMID: 35258048 DOI: 10.1039/d1lc01175h] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The digital polymerase chain reaction (dPCR) is an irreplaceable variant of PCR techniques due to its capacity for absolute quantification and detection of rare deoxyribonucleic acid (DNA) sequences in clinical samples. Image processing methods, including micro-chamber positioning and fluorescence analysis, determine the reliability of the dPCR results. However, typical methods demand high requirements for the chip structure, chip filling, and light intensity uniformity. This research developed an image-to-answer algorithm with single fluorescence image capture and known image-related error removal. We applied the Hough transform to identify partitions in the images of dPCR chips, the 2D Fourier transform to rotate the image, and the 3D projection transformation to locate and correct the positions of all partitions. We then calculated each partition's average fluorescence amplitudes and generated a 3D fluorescence intensity distribution map of the image. We subsequently corrected the fluorescence non-uniformity between partitions based on the map and achieved statistical results of partition fluorescence intensities. We validated the proposed algorithms using different contents of the target DNA. The proposed algorithm is independent of the dPCR chip structure damage and light intensity non-uniformity. It also provides a reliable alternative to analyze the results of chip-based dPCR systems.
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Affiliation(s)
- Zhiqiang Yan
- School of Mechanical Engineering, Department of Microsystem Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, P.R. China.
| | - Haoqing Zhang
- School of Mechanical Engineering, Department of Microsystem Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, P.R. China.
| | - Xinlu Wang
- School of Mechanical Engineering, Department of Microsystem Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, P.R. China.
| | - Martina Gaňová
- Central European Institute of Technology, Brno University of Technology, Purkyňova 656/123, 612 00, Brno, Czech Republic
| | - Tomáš Lednický
- Central European Institute of Technology, Brno University of Technology, Purkyňova 656/123, 612 00, Brno, Czech Republic
| | - Hanliang Zhu
- School of Mechanical Engineering, Department of Microsystem Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, P.R. China.
| | - Xiaocheng Liu
- School of Mechanical Engineering, Department of Microsystem Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, P.R. China.
| | - Marie Korabečná
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Albertov 4, 128 00 Prague, Czech Republic
| | - Honglong Chang
- School of Mechanical Engineering, Department of Microsystem Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, P.R. China.
| | - Pavel Neužil
- School of Mechanical Engineering, Department of Microsystem Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, P.R. China.
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