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Han R, Wang F, Chen W, Ma L. A Fast and Sensitive One-Tube SARS-CoV-2 Detection Platform Based on RTX-PCR and Pyrococcus furiosus Argonaute. BIOSENSORS 2024; 14:245. [PMID: 38785719 PMCID: PMC11118887 DOI: 10.3390/bios14050245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/29/2024] [Accepted: 05/11/2024] [Indexed: 05/25/2024]
Abstract
Since SARS-CoV-2 is a highly transmissible virus, alternative reliable, fast, and cost-effective methods are still needed to prevent virus spread that can be applied in the laboratory and for point-of-care testing. Reverse transcription real-time fluorescence quantitative PCR (RT-qPCR) is currently the gold criteria for detecting RNA viruses, which requires reverse transcriptase to reverse transcribe viral RNA into cDNA, and fluorescence quantitative PCR detection was subsequently performed. The frequently used reverse transcriptase is thermolabile; the detection process is composed of two steps: the reverse transcription reaction at a relatively low temperature, and the qPCR performed at a relatively high temperature, moreover, the RNA to be detected needs to pretreated if they had advanced structure. Here, we develop a fast and sensitive one-tube SARS-CoV-2 detection platform based on Ultra-fast RTX-PCR and Pyrococcus furiosus Argonaute-mediated Nucleic acid Detection (PAND) technology (URPAND). URPAND was achieved ultra-fast RTX-PCR process based on a thermostable RTX (exo-) with both reverse transcriptase and DNA polymerase activity. The URPAND can be completed RT-PCR and PAND to detect nucleic acid in one tube within 30 min. This method can specifically detect SARS-CoV-2 with a low detection limit of 100 copies/mL. The diagnostic results of clinical samples with one-tube URPAND displayed 100% consistence with RT-qPCR test. Moreover, URPAND was also applied to identify SARS-CoV-2 D614G mutant due to its single-nucleotide specificity. The URPAND platform is rapid, accurate, tube closed, one-tube, easy-to-operate and free of large instruments, which provides a new strategy to the detection of SARS-CoV-2 and other RNA viruses.
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Affiliation(s)
- Rui Han
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan 430062, China; (R.H.); (F.W.)
| | - Fei Wang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan 430062, China; (R.H.); (F.W.)
| | - Wanping Chen
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan 430062, China; (R.H.); (F.W.)
- School of Pharmacy, Qingdao University, Qingdao 266071, China
| | - Lixin Ma
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan 430062, China; (R.H.); (F.W.)
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Yang CR, Chang SY, Gong YN, Huang CG, Tung TH, Liu W, Chan TC, Hung KS, Shang HS, Tsai JJ, Kao CL, Wu HL, Daisy Liu LY, Lin WY, Fan YC, King CC, Ku CC. The emergence and successful elimination of SARS-CoV-2 dominant strains with increasing epidemic potential in Taiwan's 2021 outbreak. Heliyon 2023; 9:e22436. [PMID: 38107297 PMCID: PMC10724543 DOI: 10.1016/j.heliyon.2023.e22436] [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: 10/22/2022] [Revised: 11/10/2023] [Accepted: 11/13/2023] [Indexed: 12/19/2023] Open
Abstract
Taiwan's experience with severe acute respiratory syndrome coronavirus (SARS-CoV) in 2003 guided its development of strategies to defend against SARS-CoV-2 in 2020, which enabled the successful control of Coronavirus disease 2019 (COVID-19) cases from 2020 through March 2021. However, in late-April 2021, the imported Alpha variant began to cause COVID-19 outbreaks at an exceptional rate in Taiwan. In this study, we aimed to determine what epidemiological conditions enabled the SARS-CoV-2 Alpha variant strains to become dominant and decline later during a surge in the outbreak. In conjunction with contact-tracing investigations, we used our bioinformatics software, CoVConvert and IniCoV, to analyze whole-genome sequences of 101 Taiwan Alpha strains. Univariate and multivariable regression analyses revealed the epidemiological factors associated with viral dominance. Univariate analysis showed the dominant Alpha strains were preferentially selected in the surge's epicenter (p = 0.0024) through intensive human-to-human contact and maintained their dominance for 1.5 months until the Zero-COVID Policy was implemented. Multivariable regression found that the epidemic periods (p = 0.007) and epicenter (p = 0.001) were two significant factors associated with the dominant virus strains spread in the community. These dominant virus strains emerged at the outbreak's epicenter with frequent human-to-human contact and low vaccination coverage. The Level 3 Restrictions and Zero-COVID policy successfully controlled the outbreak in the community without city lockdowns. Our integrated method can identify the epidemiological conditions for emerging dominant virus with increasing epidemiological potential and support decision makers in rapidly containing outbreaks using public health measures that target fast-spreading virus strains.
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Affiliation(s)
- Chin-Rur Yang
- Graduate Institute of Immunology, College of Medicine, National Taiwan University, 1 Jen-Ai Road Section 1, Taipei, 10051, Taiwan, ROC
| | - Sui-Yuan Chang
- Department (Dept.) of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 10051, Taiwan, ROC
- Dept. of Laboratory Medicine, National Taiwan University Hospital, Taipei, 10051, Taiwan, ROC
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, 33302, Taiwan, ROC
- Dept. of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 33302, Taiwan, ROC
| | - Chung-Guei Huang
- Dept. of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 33302, Taiwan, ROC
- Dept. of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, 33302, Taiwan, ROC
| | - Tsung-Hua Tung
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
- Dept. of Health, Taipei City Government, Taipei, Taiwan, ROC
| | - Wei Liu
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
| | - Ta-Chien Chan
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, 11529, Taiwan, ROC
| | - Kuo-Sheng Hung
- Center for Precision Medicine and Genomics, Tri-Service General Hospital, National Defense Medical Center, Taipei, 11490, Taiwan, ROC
| | - Hung-Sheng Shang
- Division of Clinical Pathology, Dept. of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, 11490, Taiwan, ROC
| | - Jih-Jin Tsai
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan, ROC
- Tropical Medicine Center, Kaohsiung Medical University Hospital, Kaohsiung, 80756, Taiwan, ROC
- Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, 80756, Taiwan, ROC
| | - Chuan-Liang Kao
- Department (Dept.) of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 10051, Taiwan, ROC
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
| | - Hui-Lin Wu
- Hepatitis Research Center, National Taiwan University Hospital, Taipei, 10051, Taiwan, ROC
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 10051, Taiwan, ROC
| | - Li-Yu Daisy Liu
- Division of Biometry, Department of Agronomy, National Taiwan University, Taipei, 10617, Taiwan, ROC
| | - Wan-Yu Lin
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
| | - Yi-Chin Fan
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
| | - Chwan-Chuen King
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, NTU 17 Xu-Zhou Road, Taipei, 10055, Taiwan, ROC
| | - Chia-Chi Ku
- Graduate Institute of Immunology, College of Medicine, National Taiwan University, 1 Jen-Ai Road Section 1, Taipei, 10051, Taiwan, ROC
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Haars J, Palanisamy N, Wallin F, Mölling P, Lindh J, Sundqvist M, Ellström P, Kaden R, Lennerstrand J. Prevalence of SARS-CoV-2 Omicron Sublineages and Spike Protein Mutations Conferring Resistance against Monoclonal Antibodies in a Swedish Cohort during 2022-2023. Microorganisms 2023; 11:2417. [PMID: 37894075 PMCID: PMC10609123 DOI: 10.3390/microorganisms11102417] [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: 09/08/2023] [Revised: 09/22/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023] Open
Abstract
Monoclonal antibodies (mAbs) are an important treatment option for COVID-19 caused by SARS-CoV-2, especially in immunosuppressed patients. However, this treatment option can become ineffective due to mutations in the SARS-CoV-2 genome, mainly in the receptor binding domain (RBD) of the spike (S) protein. In the present study, 7950 SARS-CoV-2 positive samples from the Uppsala and Örebro regions of central Sweden, collected between March 2022 and May 2023, were whole-genome sequenced using amplicon-based sequencing methods on Oxford Nanopore GridION, Illumina MiSeq, Illumina HiSeq, or MGI DNBSEQ-G400 instruments. Pango lineages were determined and all single nucleotide polymorphism (SNP) mutations that occurred in these samples were identified. We found that the dominant sublineages changed over time, and mutations conferring resistance to currently available mAbs became common. Notable ones are R346T and K444T mutations in the RBD that confer significant resistance against tixagevimab and cilgavimab mAbs. Further, mutations conferring a high-fold resistance to bebtelovimab, such as the K444T and V445P mutations, were also observed in the samples. This study highlights that resistance mutations have over time rendered currently available mAbs ineffective against SARS-CoV-2 in most patients. Therefore, there is a need for continued surveillance of resistance mutations and the development of new mAbs that target more conserved regions of the RBD.
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Affiliation(s)
- Jonathan Haars
- Department of Medical Sciences, Section for Clinical Microbiology and Hospital Hygiene Uppsala University, Akademiska Sjukhuset Entrance 40 Floor 5, 751 85 Uppsala, Sweden; (J.H.); (J.L.); (P.E.); (R.K.)
| | | | - Frans Wallin
- Department of Laboratory Medicine, Clinical Microbiology, Örebro University Hospital, Södra Grev Rosengatan, 701 85 Örebro, Sweden;
| | - Paula Mölling
- Department of Laboratory Medicine, Clinical Microbiology, Faculty of Medicine and Health, Örebro University, 701 82 Örebro, Sweden; (P.M.); (M.S.)
| | - Johan Lindh
- Department of Medical Sciences, Section for Clinical Microbiology and Hospital Hygiene Uppsala University, Akademiska Sjukhuset Entrance 40 Floor 5, 751 85 Uppsala, Sweden; (J.H.); (J.L.); (P.E.); (R.K.)
| | - Martin Sundqvist
- Department of Laboratory Medicine, Clinical Microbiology, Faculty of Medicine and Health, Örebro University, 701 82 Örebro, Sweden; (P.M.); (M.S.)
| | - Patrik Ellström
- Department of Medical Sciences, Section for Clinical Microbiology and Hospital Hygiene Uppsala University, Akademiska Sjukhuset Entrance 40 Floor 5, 751 85 Uppsala, Sweden; (J.H.); (J.L.); (P.E.); (R.K.)
| | - René Kaden
- Department of Medical Sciences, Section for Clinical Microbiology and Hospital Hygiene Uppsala University, Akademiska Sjukhuset Entrance 40 Floor 5, 751 85 Uppsala, Sweden; (J.H.); (J.L.); (P.E.); (R.K.)
- SciLifeLab, Clinical Genomics Uppsala, Husargatan 3, 752 37 Uppsala, Sweden
| | - Johan Lennerstrand
- Department of Medical Sciences, Section for Clinical Microbiology and Hospital Hygiene Uppsala University, Akademiska Sjukhuset Entrance 40 Floor 5, 751 85 Uppsala, Sweden; (J.H.); (J.L.); (P.E.); (R.K.)
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Anand U, Pal T, Zanoletti A, Sundaramurthy S, Varjani S, Rajapaksha AU, Barceló D, Bontempi E. The spread of the omicron variant: Identification of knowledge gaps, virus diffusion modelling, and future research needs. ENVIRONMENTAL RESEARCH 2023; 225:115612. [PMID: 36871942 PMCID: PMC9985523 DOI: 10.1016/j.envres.2023.115612] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 06/11/2023]
Abstract
The World Health Organization (WHO) recognised variant B.1.1.529 of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) as a variant of concern, termed "Omicron", on November 26, 2021. Its diffusion was attributed to its several mutations, which allow promoting its ability to diffuse worldwide and its capability in immune evasion. As a consequence, some additional serious threats to public health posed the risk to undermine the global efforts made in the last two years to control the pandemic. In the past, several works were devoted to discussing a possible contribution of air pollution to the SARS-CoV-2 spread. However, to the best of the authors' knowledge, there are still no works dealing with the Omicron variant diffusion mechanisms. This work represents a snapshot of what we know right now, in the frame of an analysis of the Omicron variant spread. The paper proposes the use of a single indicator, commercial trade data, to model the virus spread. It is proposed as a surrogate of the interactions occurring between humans (the virus transmission mechanism due to human-to-human contacts) and could be considered for other diseases. It allows also to explain the unexpected increase in infection cases in China, detected at beginning of 2023. The air quality data are also analyzed to evaluate for the first time the role of air particulate matter (PM) as a carrier of the Omicron variant diffusion. Due to emerging concerns associated with other viruses (such as smallpox-like virus diffusion in Europe and America), the proposed approach seems to be promising to model the virus spreading.
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Affiliation(s)
- Uttpal Anand
- Zuckerberg Institute for Water Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, 8499000, Israel
| | - Tarun Pal
- Zuckerberg Institute for Water Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion, 8499000, Israel
| | - Alessandra Zanoletti
- INSTM and Chemistry for Technologies Laboratory, Department of Mechanical and Industrial Engineering, University of Brescia, Via Branze, 38, 25123, Brescia, Italy
| | - Suresh Sundaramurthy
- Department of Chemical Engineering, Maulana Azad National Institute of Technology, Bhopal, 462003, Madhya Pradesh, India
| | - Sunita Varjani
- School of Energy and Environment, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong; Sustainability Cluster, School of Engineering, University of Petroleum and Energy Studies, Dehradun, 248007, Uttarakhand, India
| | - Anushka Upamali Rajapaksha
- Ecosphere Resilience Research Center, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, CO, 10250, Sri Lanka; Instrument Center, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, 10250, Sri Lanka
| | - Damià Barceló
- Catalan Institute for Water Research (ICRA-CERCA), H2O Building, Scientific and Technological Park of the University of Girona, Emili Grahit 101, Girona, 17003, Spain; Water and Soil Quality Research Group, Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), JordiGirona, 1826, Barcelona, 08034, Spain
| | - Elza Bontempi
- INSTM and Chemistry for Technologies Laboratory, Department of Mechanical and Industrial Engineering, University of Brescia, Via Branze, 38, 25123, Brescia, Italy.
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Jeong S, Kim JS, Lee SK, Cho EJ, Hyun J, Song W, Kim HS. Tracking the Genomic Evolution of SARS-CoV-2 for 29 Months in South Korea. Viruses 2023; 15:873. [PMID: 37112852 PMCID: PMC10142693 DOI: 10.3390/v15040873] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/24/2023] [Accepted: 03/28/2023] [Indexed: 04/29/2023] Open
Abstract
The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has continued, with the persistent emergence of variants of concern (VOCs). Therefore, this study aimed to track the genomic evolution of SARS-CoV-2 strains by sequencing the spike protein for 29 months, which accounted for the majority of the COVID-19 pandemic period. A total of 109 swabs from patients with confirmed coronavirus disease 2019 (COVID-19) infection were randomly collected between March 2020 and July 2022. After genomic sequencing, we analyzed the naming systems and phylogenetic trees. Five surge peaks of COVID-19 cases have been reported in South Korea, resulting in 14,000,000 cumulative confirmed cases and 17,000 deaths. Among the sequenced samples, 34 wild-type strains and 75 VOCs, including 4 Alpha, 33 Delta, 2 Epsilon, and 36 Omicron VOCs, were identified. Omicron strains were comprised of 8 BA.1.1 (21 K), 27 BA.2 (21 L), and 1 BA.2.12.1 (22C). Phylogenetic analysis of the identified isolates and representative sequences of SARS-CoV-2 strains revealed clusters that presented the WHO VOCs. Specific or unique mutations for each VOC waxed and waned according to the variant waves. Our findings allowed recognition of the overall trends of SARS-CoV-2 isolates, which implicated replication advantage, immune evasion, and disease management.
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Affiliation(s)
- Seri Jeong
- Department of Laboratory Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea
| | - Jae-Seok Kim
- Department of Laboratory Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea
| | - Su Kyung Lee
- Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea
| | - Eun-Jung Cho
- Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea
| | - Jungwon Hyun
- Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea
| | - Wonkeun Song
- Department of Laboratory Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea
| | - Hyun Soo Kim
- Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea
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Abavisani M, Rahimian K, Mahdavi B, Tokhanbigli S, Mollapour Siasakht M, Farhadi A, Kodori M, Mahmanzar M, Meshkat Z. Mutations in SARS-CoV-2 structural proteins: a global analysis. Virol J 2022; 19:220. [PMID: 36528612 PMCID: PMC9759450 DOI: 10.1186/s12985-022-01951-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Emergence of new variants mainly variants of concerns (VOC) is caused by mutations in main structural proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, we aimed to investigate the mutations among structural proteins of SARS-CoV-2 globally. METHODS We analyzed samples of amino-acid sequences (AASs) for envelope (E), membrane (M), nucleocapsid (N), and spike (S) proteins from the declaration of the coronavirus 2019 (COVID-19) as pandemic to January 2022. The presence and location of mutations were then investigated by aligning the sequences to the reference sequence and categorizing them based on frequency and continent. Finally, the related human genes with the viral structural genes were discovered, and their interactions were reported. RESULTS The results indicated that the most relative mutations among the E, M, N, and S AASs occurred in the regions of 7 to 14, 66 to 88, 164 to 205, and 508 to 635 AAs, respectively. The most frequent mutations in E, M, N, and S proteins were T9I, I82T, R203M/R203K, and D614G. D614G was the most frequent mutation in all six geographical areas. Following D614G, L18F, A222V, E484K, and N501Y, respectively, were ranked as the most frequent mutations in S protein globally. Besides, A-kinase Anchoring Protein 8 Like (AKAP8L) was shown as the linkage unit between M, E, and E cluster genes. CONCLUSION Screening the structural protein mutations can help scientists introduce better drug and vaccine development strategies.
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Affiliation(s)
- Mohammad Abavisani
- grid.411583.a0000 0001 2198 6209Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran ,grid.411583.a0000 0001 2198 6209Department of Microbiology and Virology, School of Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Karim Rahimian
- grid.46072.370000 0004 0612 7950Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran
| | - Bahar Mahdavi
- grid.417689.5Department of Molecular Biotechnology, Cell Science Research Center, Royan Institute for Biotechnology, ACECR, Isfahan, Iran
| | - Samaneh Tokhanbigli
- grid.411463.50000 0001 0706 2472Department of Molecular and Cellular Sciences, Faculty of Advanced Sciences and Technology, Pharmaceutical Sciences Branch, Islamic Azad University, Tehran, Iran
| | - Mahsa Mollapour Siasakht
- grid.5645.2000000040459992XDepartment of Biochemistry, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Amin Farhadi
- grid.412462.70000 0000 8810 3346Department of Biology, Payame Noor University, Tehran, Iran
| | - Mansoor Kodori
- grid.510756.00000 0004 4649 5379Non Communicable Diseases Research Center, Bam University of Medical Sciences, Bam, Iran
| | - Mohammadamin Mahmanzar
- grid.46072.370000 0004 0612 7950Department of Bioinformatics, Kish International Campus University of Tehran, Kish, Iran
| | - Zahra Meshkat
- grid.411583.a0000 0001 2198 6209Department of Microbiology and Virology, School of Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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