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Luo Y, Zhang J, Ni M, Mei Z, Ye Q, Guo B, Fang L, Feng D, Wang L, Yan J, Wang G. Pilot validation of on-field STR typing and human identity testing by MinION nanopore sequencing. Electrophoresis 2024; 45:885-896. [PMID: 38356010 DOI: 10.1002/elps.202300234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/19/2024] [Accepted: 01/24/2024] [Indexed: 02/16/2024]
Abstract
Nanopore sequencing technology has broad application prospects in forensic medicine due to its small size, portability, fast speed, real-time result analysis capabilities, single-molecule sequencing abilities, and simple operation. Here, we demonstrate for the first time that nanopore sequencing platforms can be used to identify individuals in the field. Through scientific and reasonable design, a nanopore MinION MK1B device and other auxiliary devices are integrated into a portable detection box conducive to individual identification at the accident site. Individual identification of 12 samples could be completed within approximately 24 h by jointly detecting 23 short tandem repeat (STR) loci. Through double-blinded experiments, the genotypes of 49 samples were successfully determined, and the accuracy of the STR genotyping was verified by the gold standard. Specifically, the typing success rate for 1150 genotypes was 95.3%, and the accuracy rate was 86.87%. Although this study focused primarily on demonstrating the feasibility of full-process testing, it can be optimistically predicted that further improvements in bioinformatics workflows and nanopore sequencing technology will help enhance the feasibility of Oxford Nanopore Technologies equipment for real-time individual identification at accident sites.
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Affiliation(s)
- Yuan Luo
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Jiarong Zhang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, Shanxi, P. R. China
| | - Ming Ni
- Institute of Health Service and Transfusion Medicine, Beijing, P. R. China
| | - Zhusong Mei
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Qiao Ye
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Bingqian Guo
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Longmei Fang
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Dongyun Feng
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Lu Wang
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, Shanxi, P. R. China
| | - Guangyun Wang
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
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Garcia-Calvo E, García-García A, Rodríguez S, Martín R, García T. Unraveling the Properties of Phage Display Fab Libraries and Their Use in the Selection of Gliadin-Specific Probes by Applying High-Throughput Nanopore Sequencing. Viruses 2024; 16:686. [PMID: 38793567 PMCID: PMC11126117 DOI: 10.3390/v16050686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/19/2024] [Accepted: 04/25/2024] [Indexed: 05/26/2024] Open
Abstract
Directed evolution is a pivotal strategy for new antibody discovery, which allowed the generation of high-affinity Fabs against gliadin from two antibody libraries in our previous studies. One of the libraries was exclusively derived from celiac patients' mRNA (immune library) while the other was obtained through a protein engineering approach (semi-immune library). Recent advances in high-throughput DNA sequencing techniques are revolutionizing research across genomics, epigenomics, and transcriptomics. In the present work, an Oxford Nanopore in-lab sequencing device was used to comprehensively characterize the composition of the constructed libraries, both at the beginning and throughout the phage-mediated selection processes against gliadin. A customized analysis pipeline was used to select high-quality reads, annotate chain distribution, perform sequence analysis, and conduct statistical comparisons between the different selection rounds. Some immunological attributes of the most representative phage variants after the selection process were also determined. Sequencing results revealed the successful transfer of the celiac immune response features to the immune library and the antibodies derived from it, suggesting the crucial role of these features in guiding the selection of high-affinity recombinant Fabs against gliadin. In summary, high-throughput DNA sequencing has improved our understanding of the selection processes aimed at generating molecular binders against gliadin.
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Affiliation(s)
| | - Aina García-García
- Department of Nutrition and Food Sciences, School of Veterinary Sciences, Universidad Complutense de Madrid, 28040 Madrid, Spain; (E.G.-C.); (S.R.); (R.M.); (T.G.)
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3
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Deng CH, Naithani S, Kumari S, Cobo-Simón I, Quezada-Rodríguez EH, Skrabisova M, Gladman N, Correll MJ, Sikiru AB, Afuwape OO, Marrano A, Rebollo I, Zhang W, Jung S. Genotype and phenotype data standardization, utilization and integration in the big data era for agricultural sciences. Database (Oxford) 2023; 2023:baad088. [PMID: 38079567 PMCID: PMC10712715 DOI: 10.1093/database/baad088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 10/17/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023]
Abstract
Large-scale genotype and phenotype data have been increasingly generated to identify genetic markers, understand gene function and evolution and facilitate genomic selection. These datasets hold immense value for both current and future studies, as they are vital for crop breeding, yield improvement and overall agricultural sustainability. However, integrating these datasets from heterogeneous sources presents significant challenges and hinders their effective utilization. We established the Genotype-Phenotype Working Group in November 2021 as a part of the AgBioData Consortium (https://www.agbiodata.org) to review current data types and resources that support archiving, analysis and visualization of genotype and phenotype data to understand the needs and challenges of the plant genomic research community. For 2021-22, we identified different types of datasets and examined metadata annotations related to experimental design/methods/sample collection, etc. Furthermore, we thoroughly reviewed publicly funded repositories for raw and processed data as well as secondary databases and knowledgebases that enable the integration of heterogeneous data in the context of the genome browser, pathway networks and tissue-specific gene expression. Based on our survey, we recommend a need for (i) additional infrastructural support for archiving many new data types, (ii) development of community standards for data annotation and formatting, (iii) resources for biocuration and (iv) analysis and visualization tools to connect genotype data with phenotype data to enhance knowledge synthesis and to foster translational research. Although this paper only covers the data and resources relevant to the plant research community, we expect that similar issues and needs are shared by researchers working on animals. Database URL: https://www.agbiodata.org.
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Affiliation(s)
- Cecilia H Deng
- Molecular and Digital Breeding, New Cultivar Innovation, The New Zealand Institute for Plant and Food Research Limited, 120 Mt Albert Road, Auckland 1025, New Zealand
| | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Sunita Kumari
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, New York, NY 11724, USA
| | - Irene Cobo-Simón
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
- Institute of Forest Science (ICIFOR-INIA, CSIC), Madrid, Spain
| | - Elsa H Quezada-Rodríguez
- Departamento de Producción Agrícola y Animal, Universidad Autónoma Metropolitana-Xochimilco, Ciudad de México, México
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Maria Skrabisova
- Department of Biochemistry, Faculty of Science, Palacky University, Olomouc, Czech Republic
| | - Nick Gladman
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, New York, NY 11724, USA
- U.S. Department of Agriculture-Agricultural Research Service, NEA Robert W. Holley Center for Agriculture and Health, Cornell University, Ithaca, NY 14853, USA
| | - Melanie J Correll
- Agricultural and Biological Engineering Department, University of Florida, 1741 Museum Rd, Gainesville, FL 32611, USA
| | | | | | - Annarita Marrano
- Phoenix Bioinformatics, 39899 Balentine Drive, Suite 200, Newark, CA 94560, USA
| | | | - Wentao Zhang
- National Research Council Canada, 110 Gymnasium Pl, Saskatoon, Saskatchewan S7N 0W9, Canada
| | - Sook Jung
- Department of Horticulture, Washington State University, 303c Plant Sciences Building, Pullman, WA 99164-6414, USA
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Salazar-Ardiles C, Asserella-Rebollo L, Cornejo C, Arias D, Vasquez-Muñoz M, Toledo C, Andrade DC. Molecular diagnostic approaches for SARS-CoV-2 detection and pathophysiological consequences. Mol Biol Rep 2023; 50:10367-10382. [PMID: 37817022 DOI: 10.1007/s11033-023-08844-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/25/2023] [Indexed: 10/12/2023]
Abstract
SARS-CoV-2, a novel coronavirus within the Coronaviridae family, is the causative agent behind the respiratory ailment referred to as COVID-19. Operating on a global scale, COVID-19 has led to a substantial number of fatalities, exerting profound effects on both public health and the global economy. The most frequently reported symptoms encompass fever, cough, muscle or body aches, loss of taste or smell, headaches, and fatigue. Furthermore, a subset of individuals may manifest more severe symptoms, including those consistent with viral pneumonitis, which can be so profound as to result in fatalities. Consequently, this situation has spurred the rapid advancement of disease diagnostic technologies worldwide. Predominantly employed in diagnosing COVID-19, the real-time quantitative reverse transcription PCR has been the foremost diagnostic method, effectively detecting SARS-CoV-2 viral RNA. As the pandemic has evolved, antigen and serological tests have emerged as valuable diagnostic tools. Antigen tests pinpoint specific viral proteins of SARS-CoV-2, offering swift results, while serological tests identify the presence of antibodies in blood samples. Additionally, there have been notable strides in sample collection methods, notably with the introduction of saliva-based tests, presenting a non-invasive substitute to nasopharyngeal swabs. Given the ongoing mutations in SARS-CoV-2, there has been a continuous need for genomic surveillance, encompassing full genome sequencing and the identification of new variants through Illumina technology and, more recently, nanopore metagenomic sequencing (SMTN). Consequently, while diagnostic testing methods for COVID-19 have experienced remarkable progress, no test is flawless, and there exist limitations with each technique, including sensitivity, specificity, sample collection, and the minimum viral load necessary for accurate detection. These aspects are comprehensively addressed within this current review.
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Affiliation(s)
- Camila Salazar-Ardiles
- Exercise Applied Physiology Laboratory, Centro de Investigación en Fisiología y Medicina de Altura (FIMEDALT), Biomedical Department, Faculty of Health Sciences, Universidad de Antofagasta, Av. Universidad de Antofagasta #02800, Antofagasta, Chile
| | | | - Carlos Cornejo
- Exercise Applied Physiology Laboratory, Centro de Investigación en Fisiología y Medicina de Altura (FIMEDALT), Biomedical Department, Faculty of Health Sciences, Universidad de Antofagasta, Av. Universidad de Antofagasta #02800, Antofagasta, Chile
| | - Dayana Arias
- Exercise Applied Physiology Laboratory, Centro de Investigación en Fisiología y Medicina de Altura (FIMEDALT), Biomedical Department, Faculty of Health Sciences, Universidad de Antofagasta, Av. Universidad de Antofagasta #02800, Antofagasta, Chile
| | - Manuel Vasquez-Muñoz
- Dirección de Docencia de Especialidades Médicas, Dirección de Postgrado, Facultad de Medicina y Ciencias de la Salud, Universidad Mayor, Santiago, Chile
| | - Camilo Toledo
- Laboratory of Cardiorespiratory and Sleep Physiology, Institute of Physiology, Faculty of Medicine, Universidad Austral de Chile, Valdivia, Chile
| | - David C Andrade
- Exercise Applied Physiology Laboratory, Centro de Investigación en Fisiología y Medicina de Altura (FIMEDALT), Biomedical Department, Faculty of Health Sciences, Universidad de Antofagasta, Av. Universidad de Antofagasta #02800, Antofagasta, Chile.
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Erendereg M, Tumurbaatar S, Byambaa O, Enebish G, Burged N, Khurelsukh T, Baatar N, Munkhjin B, Ulziijargal J, Gantumur A, Altanbayar O, Batjargal O, Altangerel D, Tulgaa K, Ganbold S, Tundev O, Jigjidsuren S, Nyamdorj T, Tsedenbal N, Batmunkh B, Jantsansengee B, Lkhagvaa B, Tsolmon B, Enebish O, Tsevegmid E, Sereejav E, Nyamdavaa K, Erkhembayar R, Chimeddorj B. Molecular epidemiology of SARS-CoV-2 in Mongolia, first experience with nanopore sequencing in lower- and middle-income countries setting. Immun Inflamm Dis 2023; 11:e1095. [PMID: 38156392 PMCID: PMC10716720 DOI: 10.1002/iid3.1095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 09/30/2023] [Accepted: 11/09/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Coronavirus disease (COVID-19) has had a significant impact globally, and extensive genomic research has been conducted on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage patterns and its variants. Mongolia's effective response resulted in low prevalence until vaccinations became available. However, due to the lack of systematically collected data and absence of whole genome sequencing capabilities, we conducted a two-stepped, nationally representative molecular epidemiologic study of SARS-CoV-2 in Mongolia for 2020 and 2021. METHODS We used retrospective analysis of stored biological samples from November 2020 to October 2021 and a variant-specific real-time reverse transcription polymerase chain reaction (RT-PCR) test to detect SARS-CoV-2 variants, followed by whole genome sequencing by Nanopore technology. Samples were retrieved from different sites and stored at -70°C deep freezer, and tests were performed on samples with cycle threshold <30. RESULTS Out of 4879 nucleic acid tests, 799 whole genome sequencing had been carried out. Among the stored samples of earlier local transmission, we found the 20B (B.1.1.46) variant predominated in the earlier local transmission period. A slower introduction and circulation of alpha and delta variants were observed compared to global dynamics in 2020 and 2021. Beta or Gamma variants were not detected between November 2020 and September 2021 in Mongolia. CONCLUSIONS SARS-CoV-2 variants of concerns including alpha and delta were delayed in circulation potentially due to public health stringencies in Mongolia. We are sharing our initial experience with whole genome sequencing of SARS-CoV-2 from Mongolia, where sequencing data is sparse.
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Affiliation(s)
- Munkhtuya Erendereg
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
- Intermed HospitalUlaanbaatarMongolia
| | - Suvd Tumurbaatar
- Institute of Biomedical SciencesMongolian National University of Medical SciencesUlaanbaatarMongolia
| | - Otgonjargal Byambaa
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
| | - Gerelmaa Enebish
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
| | | | | | | | - Badmaarag Munkhjin
- Division for Science and TechnologyMongolian National University of Medical SciencesUlaanbaatarMongolia
| | | | - Anuujin Gantumur
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
| | - Oyunbaatar Altanbayar
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
| | - Ochbadrakh Batjargal
- Institute of Biomedical SciencesMongolian National University of Medical SciencesUlaanbaatarMongolia
| | | | - Khosbayar Tulgaa
- Institute of Biomedical SciencesMongolian National University of Medical SciencesUlaanbaatarMongolia
| | | | - Odgerel Tundev
- National Center for Communicable DiseasesUlaanbaatarMongolia
| | | | | | | | | | | | - Battur Lkhagvaa
- National Center for Communicable DiseasesUlaanbaatarMongolia
| | - Bilegtsaikhan Tsolmon
- Institute of Biomedical SciencesMongolian National University of Medical SciencesUlaanbaatarMongolia
- National Center for Communicable DiseasesUlaanbaatarMongolia
| | | | | | | | | | - Ryenchindorj Erkhembayar
- International Cyber Education Center, Graduate SchoolMongolian National University of Medical SciencesUlaanbaatarMongolia
- Department of Global Health and PopulationHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Battogtokh Chimeddorj
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
- Institute of Biomedical SciencesMongolian National University of Medical SciencesUlaanbaatarMongolia
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Shapey IM, Summers A, O'Sullivan J, Fullwood C, Hanley NA, Casey J, Forbes S, Rosenthal M, Johnson PRV, Choudhary P, Bushnell J, Shaw JAM, Neiman D, Shemer R, Glaser B, Dor Y, Augustine T, Rutter MK, van Dellen D. Beta-cell death and dysfunction drives hyperglycaemia in organ donors. Diabetes Obes Metab 2023; 25:3529-3537. [PMID: 37646197 PMCID: PMC10947469 DOI: 10.1111/dom.15248] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 07/27/2023] [Accepted: 07/27/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Donor hyperglycaemia following brain death has been attributed to reversible insulin resistance. However, our islet and pancreas transplant data suggest that other mechanisms may be predominant. We aimed to determine the relationships between donor insulin use and markers of beta-cell death and beta-cell function in pancreas donors after brain death. METHODS In pancreas donors after brain death, we compared clinical and biochemical data in 'insulin-treated' and 'not insulin-treated donors' (IT vs. not-IT). We measured plasma glucose, C-peptide and levels of circulating unmethylated insulin gene promoter cell-free DNA (INS-cfDNA) and microRNA-375 (miR-375), as measures of beta-cell death. Relationships between markers of beta-cell death and islet isolation outcomes and post-transplant function were also evaluated. RESULTS Of 92 pancreas donors, 40 (43%) required insulin. Glycaemic control and beta-cell function were significantly poorer in IT donors versus not-IT donors [median (IQR) peak glucose: 8 (7-11) vs. 6 (6-8) mmol/L, p = .016; C-peptide: 3280 (3159-3386) vs. 3195 (2868-3386) pmol/L, p = .046]. IT donors had significantly higher levels of INS-cfDNA [35 (18-52) vs. 30 (8-51) copies/ml, p = .035] and miR-375 [1.050 (0.19-1.95) vs. 0.73 (0.32-1.10) copies/nl, p = .05]. Circulating donor miR-375 was highly predictive of recipient islet graft failure at 3 months [adjusted receiver operator curve (SE) = 0.813 (0.149)]. CONCLUSIONS In pancreas donors, hyperglycaemia requiring IT is strongly associated with beta-cell death. This provides an explanation for the relationship of donor IT with post-transplant beta-cell dysfunction in transplant recipients.
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Affiliation(s)
- Iestyn M. Shapey
- Faculty of Medicine, Biology and HealthUniversity of ManchesterManchesterUK
- Department of Renal and Pancreatic TransplantationManchester University NHS Foundation Trust, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research CentreManchesterUK
| | - Angela Summers
- Faculty of Medicine, Biology and HealthUniversity of ManchesterManchesterUK
- Department of Renal and Pancreatic TransplantationManchester University NHS Foundation Trust, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research CentreManchesterUK
| | - James O'Sullivan
- Manchester Centre for Genomic MedicineManchester University NHS Foundation TrustManchesterUK
| | - Catherine Fullwood
- Faculty of Medicine, Biology and HealthUniversity of ManchesterManchesterUK
- Department of Research and Innovation (medical statistics)Manchester University NHS Foundation Trust, Manchester Academic Health Science CentreManchesterUK
| | - Neil A. Hanley
- Faculty of Medicine, Biology and HealthUniversity of ManchesterManchesterUK
| | - John Casey
- Transplant Unit, Royal Infirmary of EdinburghEdinburghUK
| | - Shareen Forbes
- Transplant Unit, Royal Infirmary of EdinburghEdinburghUK
- Endocrinology Unit, University of EdinburghEdinburghUK
| | | | - Paul R. V. Johnson
- Oxford Centre for Diabetes, Endocrinology and MetabolismUniversity of OxfordOxfordUK
| | | | | | | | - Daniel Neiman
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel‐CanadaThe Hebrew University‐Hadassah Medical SchoolJerusalemIsrael
| | - Ruth Shemer
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel‐CanadaThe Hebrew University‐Hadassah Medical SchoolJerusalemIsrael
| | - Benjamin Glaser
- Department of Endocrinology and Metabolism, Hadassah Medical Center and Faculty of MedicineHebrew University of JerusalemJerusalemIsrael
| | - Yuval Dor
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel‐CanadaThe Hebrew University‐Hadassah Medical SchoolJerusalemIsrael
| | - Titus Augustine
- Faculty of Medicine, Biology and HealthUniversity of ManchesterManchesterUK
- Department of Renal and Pancreatic TransplantationManchester University NHS Foundation Trust, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research CentreManchesterUK
| | - Martin K. Rutter
- Faculty of Medicine, Biology and HealthUniversity of ManchesterManchesterUK
- Diabetes, Endocrinology and Metabolism CentreManchester University NHS Foundation Trust, Manchester Academic Health Science CentreManchesterUK
| | - David van Dellen
- Faculty of Medicine, Biology and HealthUniversity of ManchesterManchesterUK
- Department of Renal and Pancreatic TransplantationManchester University NHS Foundation Trust, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research CentreManchesterUK
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Chen J, Xu F. Application of Nanopore Sequencing in the Diagnosis and Treatment of Pulmonary Infections. Mol Diagn Ther 2023; 27:685-701. [PMID: 37563539 PMCID: PMC10590290 DOI: 10.1007/s40291-023-00669-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/18/2023] [Indexed: 08/12/2023]
Abstract
This review provides an in-depth discussion of the development, principles and utility of nanopore sequencing technology and its diverse applications in the identification of various pulmonary pathogens. We examined the emergence and advancements of nanopore sequencing as a significant player in this field. We illustrate the challenges faced in diagnosing mixed infections and further scrutinize the use of nanopore sequencing in the identification of single pathogens, including viruses (with a focus on its use in epidemiology, outbreak investigation, and viral resistance), bacteria (emphasizing 16S targeted sequencing, rare bacterial lung infections, and antimicrobial resistance studies), fungi (employing internal transcribed spacer sequencing), tuberculosis, and atypical pathogens. Furthermore, we discuss the role of nanopore sequencing in metagenomics and its potential for unbiased detection of all pathogens in a clinical setting, emphasizing its advantages in sequencing genome repeat areas and structural variant regions. We discuss the limitations in dealing with host DNA removal, the inherent high error rate of nanopore sequencing technology, along with the complexity of operation and processing, while acknowledging the possibilities provided by recent technological improvements. We compared nanopore sequencing with the BioFire system, a rapid molecular diagnostic system based on polymerase chain reaction. Although the BioFire system serves well for the rapid screening of known and common pathogens, it falls short in the identification of unknown or rare pathogens and in providing comprehensive genome analysis. As technological advancements continue, it is anticipated that the role of nanopore sequencing technology in diagnosing and treating lung infections will become increasingly significant.
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Affiliation(s)
- Jie Chen
- Department of Infectious Diseases, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Feng Xu
- Department of Infectious Diseases, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
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Zheng P, Zhou C, Ding Y, Liu B, Lu L, Zhu F, Duan S. Nanopore sequencing technology and its applications. MedComm (Beijing) 2023; 4:e316. [PMID: 37441463 PMCID: PMC10333861 DOI: 10.1002/mco2.316] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 07/15/2023] Open
Abstract
Since the development of Sanger sequencing in 1977, sequencing technology has played a pivotal role in molecular biology research by enabling the interpretation of biological genetic codes. Today, nanopore sequencing is one of the leading third-generation sequencing technologies. With its long reads, portability, and low cost, nanopore sequencing is widely used in various scientific fields including epidemic prevention and control, disease diagnosis, and animal and plant breeding. Despite initial concerns about high error rates, continuous innovation in sequencing platforms and algorithm analysis technology has effectively addressed its accuracy. During the coronavirus disease (COVID-19) pandemic, nanopore sequencing played a critical role in detecting the severe acute respiratory syndrome coronavirus-2 virus genome and containing the pandemic. However, a lack of understanding of this technology may limit its popularization and application. Nanopore sequencing is poised to become the mainstream choice for preventing and controlling COVID-19 and future epidemics while creating value in other fields such as oncology and botany. This work introduces the contributions of nanopore sequencing during the COVID-19 pandemic to promote public understanding and its use in emerging outbreaks worldwide. We discuss its application in microbial detection, cancer genomes, and plant genomes and summarize strategies to improve its accuracy.
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Affiliation(s)
- Peijie Zheng
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Chuntao Zhou
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Yuemin Ding
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
| | - Bin Liu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Liuyi Lu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Feng Zhu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Shiwei Duan
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
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9
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Șoldănescu I, Lobiuc A, Covașă M, Dimian M. Detection of Biological Molecules Using Nanopore Sensing Techniques. Biomedicines 2023; 11:1625. [PMID: 37371721 PMCID: PMC10295350 DOI: 10.3390/biomedicines11061625] [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: 05/16/2023] [Revised: 05/28/2023] [Accepted: 05/29/2023] [Indexed: 06/29/2023] Open
Abstract
Modern biomedical sensing techniques have significantly increased in precision and accuracy due to new technologies that enable speed and that can be tailored to be highly specific for markers of a particular disease. Diagnosing early-stage conditions is paramount to treating serious diseases. Usually, in the early stages of the disease, the number of specific biomarkers is very low and sometimes difficult to detect using classical diagnostic methods. Among detection methods, biosensors are currently attracting significant interest in medicine, for advantages such as easy operation, speed, and portability, with additional benefits of low costs and repeated reliable results. Single-molecule sensors such as nanopores that can detect biomolecules at low concentrations have the potential to become clinically relevant. As such, several applications have been introduced in this field for the detection of blood markers, nucleic acids, or proteins. The use of nanopores has yet to reach maturity for standardization as diagnostic techniques, however, they promise enormous potential, as progress is made into stabilizing nanopore structures, enhancing chemistries, and improving data collection and bioinformatic analysis. This review offers a new perspective on current biomolecule sensing techniques, based on various types of nanopores, challenges, and approaches toward implementation in clinical settings.
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Affiliation(s)
- Iuliana Șoldănescu
- Integrated Center for Research, Development and Innovation for Advanced Materials, Nanotechnologies, Manufacturing and Control Distributed Systems (MANSiD), Stefan cel Mare University of Suceava, 720229 Suceava, Romania; (I.Ș.); (M.D.)
| | - Andrei Lobiuc
- Department of Biomedical Sciences, Stefan cel Mare University of Suceava, 720229 Suceava, Romania
| | - Mihai Covașă
- Department of Biomedical Sciences, Stefan cel Mare University of Suceava, 720229 Suceava, Romania
| | - Mihai Dimian
- Integrated Center for Research, Development and Innovation for Advanced Materials, Nanotechnologies, Manufacturing and Control Distributed Systems (MANSiD), Stefan cel Mare University of Suceava, 720229 Suceava, Romania; (I.Ș.); (M.D.)
- Department of Computer, Electronics and Automation, Stefan cel Mare University of Suceava, 720229 Suceava, Romania
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Hatfield RG, Ryder D, Tidy AM, Hartnell DM, Dean KJ, Batista FM. Combining Nanopore Sequencing with Recombinase Polymerase Amplification Enables Identification of Dinoflagellates from the Alexandrium Genus, Providing a Rapid, Field Deployable Tool. Toxins (Basel) 2023; 15:372. [PMID: 37368673 DOI: 10.3390/toxins15060372] [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: 04/26/2023] [Revised: 05/24/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
The armoured dinoflagellate Alexandrium can be found throughout many of the world's temperate and tropical marine environments. The genus has been studied extensively since approximately half of its members produce a family of potent neurotoxins, collectively called saxitoxin. These compounds represent a significant threat to animal and environmental health. Moreover, the consumption of bivalve molluscs contaminated with saxitoxin poses a threat to human health. The identification of Alexandrium cells collected from sea water samples using light microscopy can provide early warnings of a toxic event, giving harvesters and competent authorities time to implement measures that safeguard consumers. However, this method cannot reliably resolve Alexandrium to a species level and, therefore, is unable to differentiate between toxic and non-toxic variants. The assay outlined in this study uses a quick recombinase polymerase amplification and nanopore sequencing method to first target and amplify a 500 bp fragment of the ribosomal RNA large subunit and then sequence the amplicon so that individual species from the Alexandrium genus can be resolved. The analytical sensitivity and specificity of the assay was assessed using seawater samples spiked with different Alexandrium species. When using a 0.22 µm membrane to capture and resuspend cells, the assay was consistently able to identify a single cell of A. minutum in 50 mL of seawater. Phylogenetic analysis showed the assay could identify the A. catenella, A. minutum, A. tamutum, A. tamarense, A. pacificum, and A. ostenfeldii species from environmental samples, with just the alignment of the reads being sufficient to provide accurate, real-time species identification. By using sequencing data to qualify when the toxic A. catenella species was present, it was possible to improve the correlation between cell counts and shellfish toxicity from r = 0.386 to r = 0.769 (p ≤ 0.05). Furthermore, a McNemar's paired test performed on qualitative data highlighted no statistical differences between samples confirmed positive or negative for toxic species of Alexandrium by both phylogenetic analysis and real time alignment with the presence or absence of toxins in shellfish. The assay was designed to be deployed in the field for the purposes of in situ testing, which required the development of custom tools and state-of-the-art automation. The assay is rapid and resilient to matrix inhibition, making it suitable as a potential alternative detection method or a complementary one, especially when applying regulatory controls.
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Affiliation(s)
- Robert G Hatfield
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
| | - David Ryder
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
| | - Annabel M Tidy
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
| | - David M Hartnell
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
| | - Karl J Dean
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
| | - Frederico M Batista
- Centre for Environment Fisheries and Aquaculture Science, Weymouth DT48UB, UK
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