1
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Han R, Qi J, Xue Y, Sun X, Zhang F, Gao X, Li G. HycDemux: a hybrid unsupervised approach for accurate barcoded sample demultiplexing in nanopore sequencing. Genome Biol 2023; 24:222. [PMID: 37798751 PMCID: PMC10552309 DOI: 10.1186/s13059-023-03053-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 09/08/2023] [Indexed: 10/07/2023] Open
Abstract
DNA barcodes enable Oxford Nanopore sequencing to sequence multiple barcoded DNA samples on a single flow cell. DNA sequences with the same barcode need to be grouped together through demultiplexing. As the number of samples increases, accurate demultiplexing becomes difficult. We introduce HycDemux, which incorporates a GPU-parallelized hybrid clustering algorithm that uses nanopore signals and DNA sequences for accurate data clustering, alongside a voting-based module to finalize the demultiplexing results. Comprehensive experiments demonstrate that our approach outperforms unsupervised tools in short sequence fragment clustering and performs more robustly than current state-of-the-art demultiplexing tools for complex multi-sample sequencing data.
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Affiliation(s)
- Renmin Han
- Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China
| | - Junhai Qi
- Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China
- BioMap Research, California, USA
| | - Yang Xue
- Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China
| | - Xiujuan Sun
- High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China
| | - Fa Zhang
- School of Medical Technolgoy, Beijing Institute of Technology, Beijing, 100085, China.
| | - Xin Gao
- King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal, 23955, Saudi Arabia.
| | - Guojun Li
- Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China.
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2
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Hook PW, Timp W. Beyond assembly: the increasing flexibility of single-molecule sequencing technology. Nat Rev Genet 2023; 24:627-641. [PMID: 37161088 PMCID: PMC10169143 DOI: 10.1038/s41576-023-00600-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2023] [Indexed: 05/11/2023]
Abstract
The maturation of high-throughput short-read sequencing technology over the past two decades has shaped the way genomes are studied. Recently, single-molecule, long-read sequencing has emerged as an essential tool in deciphering genome structure and function, including filling gaps in the human reference genome, measuring the epigenome and characterizing splicing variants in the transcriptome. With recent technological developments, these single-molecule technologies have moved beyond genome assembly and are being used in a variety of ways, including to selectively sequence specific loci with long reads, measure chromatin state and protein-DNA binding in order to investigate the dynamics of gene regulation, and rapidly determine copy number variation. These increasingly flexible uses of single-molecule technologies highlight a young and fast-moving part of the field that is leading to a more accessible era of nucleic acid sequencing.
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Affiliation(s)
- Paul W Hook
- Department of Biomedical Engineering, Molecular Biology and Genetics, and Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Winston Timp
- Department of Biomedical Engineering, Molecular Biology and Genetics, and Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA.
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3
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Foster JC, Pham B, Pham R, Kim M, Moore MD, Chen M. An Engineered OmpG Nanopore with Displayed Peptide Motifs for Single-Molecule Multiplex Protein Detection. Angew Chem Int Ed Engl 2023; 62:e202214566. [PMID: 36457283 PMCID: PMC9898208 DOI: 10.1002/anie.202214566] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/29/2022] [Accepted: 11/29/2022] [Indexed: 12/05/2022]
Abstract
Molecular detection via nanopore, achieved by monitoring changes in ionic current arising from analyte interaction with the sensor pore, is a promising technology for multiplex sensing development. Outer Membrane Protein G (OmpG), a monomeric porin possessing seven functionalizable loops, has been reported as an effective sensing platform for selective protein detection. Using flow cytometry to screen unfavorable constructs, we identified two OmpG nanopores with unique peptide motifs displayed in either loop 3 or 6, which also exhibited distinct analyte signals in single-channel current recordings. We exploited these motif-displaying loops concurrently to facilitate single-molecule multiplex protein detection in a mixture. We additionally report a strategy to increase sensor sensitivity via avidity motif display. These sensing schemes may be expanded to more sophisticated designs utilizing additional loops to increase multiplicity and sensitivity.
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Affiliation(s)
- Joshua C Foster
- Molecular and Cellular Biology Program, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Bach Pham
- Department of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, USA
- Current address: Department of Chemistry, University of Science, Vietnam National University, Hanoi, Vietnam
| | - Ryan Pham
- Department of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Minji Kim
- Department of Food Science, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Matthew D Moore
- Molecular and Cellular Biology Program, University of Massachusetts Amherst, Amherst, MA 01003, USA
- Department of Food Science, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Min Chen
- Molecular and Cellular Biology Program, University of Massachusetts Amherst, Amherst, MA 01003, USA
- Department of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, USA
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4
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Zhou Y, Wang H. Molecular Dynamics Simulation of a Single Carbon Chain through an Asymmetric Double-Layer Graphene Nanopore for Prolonging the Translocation Time. ACS OMEGA 2022; 7:16422-16429. [PMID: 35601336 PMCID: PMC9118202 DOI: 10.1021/acsomega.2c00438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/13/2022] [Indexed: 06/15/2023]
Abstract
In recent years, sensing technology based on nanopores has become one of the trustworthy options for characterization and even identification of a single biomolecule. In nanopore based DNA sequencing technology, the DNA strand in the electrolyte solution passes through the nanopore under an applied bias electric field. Commonly, the ionic current signals carrying the sequence information are difficult to detect effectively due to the fast translocation speed of the DNA strand, so that slowing down the translocation speed is expected to make the signals easier to distinguish and improve the sequencing accuracy. Modifying the nanopore structure is one of the effective methods. Through all-atom molecular dynamics simulations, we designed an asymmetric double-layer graphene nanopore structure to regulate the translocation speed of a single carbon chain. The structure consists of two nanopores with different sizes located on two layers. The simulation results indicate that the asymmetric nanopore structure will affect the chain's translocation speed and the ionic current value. When the single carbon chain passes from the smaller pore to the larger pore, the translocation time is significantly prolonged, which is about three times as long as the chain passing from the larger pore to the smaller pore. These results provide a new idea for designing more accurate and effective single-molecule solid-state nanopore sensors.
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5
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Marcozzi A, Jager M, Elferink M, Straver R, van Ginkel JH, Peltenburg B, Chen LT, Renkens I, van Kuik J, Terhaard C, de Bree R, Devriese LA, Willems SM, Kloosterman WP, de Ridder J. Accurate detection of circulating tumor DNA using nanopore consensus sequencing. NPJ Genom Med 2021; 6:106. [PMID: 34887408 PMCID: PMC8660781 DOI: 10.1038/s41525-021-00272-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 11/09/2021] [Indexed: 12/26/2022] Open
Abstract
Levels of circulating tumor DNA (ctDNA) in liquid biopsies may serve as a sensitive biomarker for real-time, minimally-invasive tumor diagnostics and monitoring. However, detecting ctDNA is challenging, as much fewer than 5% of the cell-free DNA in the blood typically originates from the tumor. To detect lowly abundant ctDNA molecules based on somatic variants, extremely sensitive sequencing methods are required. Here, we describe a new technique, CyclomicsSeq, which is based on Oxford Nanopore sequencing of concatenated copies of a single DNA molecule. Consensus calling of the DNA copies increased the base-calling accuracy ~60×, enabling accurate detection of TP53 mutations at frequencies down to 0.02%. We demonstrate that a TP53-specific CyclomicsSeq assay can be successfully used to monitor tumor burden during treatment for head-and-neck cancer patients. CyclomicsSeq can be applied to any genomic locus and offers an accurate diagnostic liquid biopsy approach that can be implemented in clinical workflows.
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Affiliation(s)
- Alessio Marcozzi
- Center for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands.,Cyclomics, Utrecht, CG, The Netherlands
| | - Myrthe Jager
- Center for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands
| | - Martin Elferink
- Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands
| | - Roy Straver
- Center for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands
| | - Joost H van Ginkel
- Department of pathology, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands.,Department of Oral and Maxillofacial Surgery, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands
| | - Boris Peltenburg
- Department of Radiotherapy, UMC Utrecht Cancer Center, University Medical Center Utrecht, Utrecht, The Netherlands.,Department of Head and Neck Surgical Oncology, UMC Utrecht Cancer Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Li-Ting Chen
- Center for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands
| | - Ivo Renkens
- Center for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands
| | - Joyce van Kuik
- Department of pathology, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands
| | - Chris Terhaard
- Department of Radiotherapy, UMC Utrecht Cancer Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Remco de Bree
- Department of Head and Neck Surgical Oncology, UMC Utrecht Cancer Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lot A Devriese
- Department of Medical Oncology, UMC Utrecht Cancer Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Stefan M Willems
- Department of pathology, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands.,Department of Pathology and Medical Biology, University Medical Center Groningen, Rijksuniversiteit Groningen, Groningen, GZ, The Netherlands
| | - Wigard P Kloosterman
- Cyclomics, Utrecht, CG, The Netherlands. .,Center for Molecular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands.
| | - Jeroen de Ridder
- Center for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, Utrecht, CX, The Netherlands. .,Cyclomics, Utrecht, CG, The Netherlands.
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6
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Wang C, Liu H, Wang H, Tao J, Yang T, Chen H, An R, Wang J, Huang N, Gong X, Song Z, Komiyama M, Liang X. Robust Storage of Chinese Language in a Pool of Small Single-Stranded DNA Rings and Its Facile Reading-Out. BULLETIN OF THE CHEMICAL SOCIETY OF JAPAN 2021. [DOI: 10.1246/bcsj.20200201] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Chenru Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, P. R. China
| | - Hongfang Liu
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, P. R. China
| | - Hongyu Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, P. R. China
| | - Jiaojiao Tao
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, P. R. China
| | - Taiwei Yang
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, P. R. China
| | - Hui Chen
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, P. R. China
| | - Ran An
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, P. R. China
- Laboratory for Marine Drugs and Bioproducts, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266235, P. R. China
| | - Jing Wang
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, P. R. China
| | - Ning Huang
- Globt Institute for Biotechnology Research, Qingdao 266109, P. R. China
| | - Xiangyu Gong
- Globt Institute for Biotechnology Research, Qingdao 266109, P. R. China
| | - Zhihao Song
- Globt Institute for Biotechnology Research, Qingdao 266109, P. R. China
| | - Makoto Komiyama
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, P. R. China
| | - Xingguo Liang
- College of Food Science and Engineering, Ocean University of China, Qingdao 266003, P. R. China
- Laboratory for Marine Drugs and Bioproducts, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266235, P. R. China
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7
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Rai P, Kumar BK, Deekshit VK, Karunasagar I, Karunasagar I. Detection technologies and recent developments in the diagnosis of COVID-19 infection. Appl Microbiol Biotechnol 2021; 105:441-455. [PMID: 33394144 PMCID: PMC7780074 DOI: 10.1007/s00253-020-11061-5] [Citation(s) in RCA: 163] [Impact Index Per Article: 54.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 12/07/2020] [Accepted: 12/15/2020] [Indexed: 12/13/2022]
Abstract
COVID-19 is a disease caused by SARS-CoV-2 capable of causing mild to severe infections in humans. Since its first appearance in China in December 2019, the pandemic has spread rapidly throughout the world. Despite considerable efforts made to contain the disease, the virus has continued its prevalence in many countries with varying degrees of clinical manifestations. To contain this pandemic, collaborative approach involving accurate diagnosis, epidemiology, surveillance, and prophylaxis is essential. However, proper diagnosis using rapid technologies plays a crucial role. With increasing incidence of COVID-19 cases, the accurate and early detection of the SARS-CoV-2 is need of the hour for effective prevention and management of COVID-19 cases as well as to curb its spread. RT-qPCR assay is considered to be the gold standard for the early detection of virus, but this protocol has limited application to use as bedside test because of its technical complexity. To address these challenges, several POC assays have been developed to facilitate the COVID-19 diagnosis outside the centralized testing laboratories as well to accelerate the clinical decision making with a least turnaround time. Hence, in this report, we review different nucleic acid-based and serological techniques available for the diagnosis and effective prevention of COVID-19. KEY POINTS : • Provides comprehensive information on the different diagnostic tools available for COVID-19 • Nucleic acid based tests or antigen detection tests are used for diagnostic purpose • Accurate diagnosis is essential for the efficient management of COVID-19.
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Affiliation(s)
- Praveen Rai
- Nitte (Deemed to be University), Division of Infectious Diseases, Nitte University Centre for Science Education and Research (NUCSER), Paneer Campus, Deralakatte, Mangaluru, Karnataka, 575018, India.
| | - Ballamoole Krishna Kumar
- Nitte (Deemed to be University), Division of Infectious Diseases, Nitte University Centre for Science Education and Research (NUCSER), Paneer Campus, Deralakatte, Mangaluru, Karnataka, 575018, India
| | - Vijaya Kumar Deekshit
- Nitte (Deemed to be University), Division of Infectious Diseases, Nitte University Centre for Science Education and Research (NUCSER), Paneer Campus, Deralakatte, Mangaluru, Karnataka, 575018, India
| | - Indrani Karunasagar
- Nitte (Deemed to be University), Division of Infectious Diseases, Nitte University Centre for Science Education and Research (NUCSER), Paneer Campus, Deralakatte, Mangaluru, Karnataka, 575018, India
| | - Iddya Karunasagar
- Nitte (Deemed to be University), University Enclave, Medical Sciences Complex, Deralakatte, Mangaluru, 575018, India.
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8
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Wang M, Fu A, Hu B, Tong Y, Liu R, Liu Z, Gu J, Xiang B, Liu J, Jiang W, Shen G, Zhao W, Men D, Deng Z, Yu L, Wei W, Li Y, Liu T. Nanopore Targeted Sequencing for the Accurate and Comprehensive Detection of SARS-CoV-2 and Other Respiratory Viruses. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2020; 16:e2002169. [PMID: 32578378 PMCID: PMC7361204 DOI: 10.1002/smll.202002169] [Citation(s) in RCA: 126] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 05/27/2020] [Indexed: 05/17/2023]
Abstract
The ongoing global novel coronavirus pneumonia COVID-19 outbreak has engendered numerous cases of infection and death. COVID-19 diagnosis relies upon nucleic acid detection; however, currently recommended methods exhibit high false-negative rates and are unable to identify other respiratory virus infections, thereby resulting in patient misdiagnosis and impeding epidemic containment. Combining the advantages of targeted amplification and long-read, real-time nanopore sequencing, herein, nanopore targeted sequencing (NTS) is developed to detect SARS-CoV-2 and other respiratory viruses simultaneously within 6-10 h, with a limit of detection of ten standard plasmid copies per reaction. Compared with its specificity for five common respiratory viruses, the specificity of NTS for SARS-CoV-2 reaches 100%. Parallel testing with approved real-time reverse transcription-polymerase chain reaction kits for SARS-CoV-2 and NTS using 61 nucleic acid samples from suspected COVID-19 cases show that NTS identifies more infected patients (22/61) as positive, while also effectively monitoring for mutated nucleic acid sequences, categorizing types of SARS-CoV-2, and detecting other respiratory viruses in the test sample. NTS is thus suitable for COVID-19 diagnosis; moreover, this platform can be further extended for diagnosing other viruses and pathogens.
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Affiliation(s)
- Ming Wang
- Department of Clinical LaboratoryRenmin Hospital of Wuhan UniversityWuhan430060China
| | - Aisi Fu
- Key Laboratory of Combinatorial Biosynthesis and Drug DiscoveryMinistry of Education and Wuhan University School of Pharmaceutical SciencesWuhan430071China
| | - Ben Hu
- Key Laboratory of Combinatorial Biosynthesis and Drug DiscoveryMinistry of Education and Wuhan University School of Pharmaceutical SciencesWuhan430071China
| | - Yongqing Tong
- Department of Clinical LaboratoryRenmin Hospital of Wuhan UniversityWuhan430060China
| | - Ran Liu
- Key Laboratory of Combinatorial Biosynthesis and Drug DiscoveryMinistry of Education and Wuhan University School of Pharmaceutical SciencesWuhan430071China
| | - Zhen Liu
- CAS Key Laboratory of Computational BiologyCAS‐MPG Partner Institute for Computational BiologyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Jiashuang Gu
- Wuhan Dgensee Clinical Laboratory Co., Ltd.Wuhan430075China
| | - Bin Xiang
- CAS Key Laboratory of Computational BiologyCAS‐MPG Partner Institute for Computational BiologyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Jianghao Liu
- Wuhan Dgensee Clinical Laboratory Co., Ltd.Wuhan430075China
| | - Wen Jiang
- Wuhan Dgensee Clinical Laboratory Co., Ltd.Wuhan430075China
| | - Gaigai Shen
- Key Laboratory of Combinatorial Biosynthesis and Drug DiscoveryMinistry of Education and Wuhan University School of Pharmaceutical SciencesWuhan430071China
| | - Wanxu Zhao
- Key Laboratory of Combinatorial Biosynthesis and Drug DiscoveryMinistry of Education and Wuhan University School of Pharmaceutical SciencesWuhan430071China
| | - Dong Men
- Wuhan Institute of VirologyChinese Academy of SciencesWuhan430071China
| | - Zixin Deng
- Key Laboratory of Combinatorial Biosynthesis and Drug DiscoveryMinistry of Education and Wuhan University School of Pharmaceutical SciencesWuhan430071China
| | - Lilei Yu
- Department of Internal MedicineRenmin Hospital of Wuhan UniversityWuhan430060China
| | - Wu Wei
- CAS Key Laboratory of Computational BiologyCAS‐MPG Partner Institute for Computational BiologyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
- Center for Biomedical InformaticsShanghai Engineering Research Center for Big Data in Pediatric Precision MedicineShanghai Children's HospitalShanghai Jiao Tong UniversityShanghai200040China
| | - Yan Li
- Department of Clinical LaboratoryRenmin Hospital of Wuhan UniversityWuhan430060China
| | - Tiangang Liu
- Key Laboratory of Combinatorial Biosynthesis and Drug DiscoveryMinistry of Education and Wuhan University School of Pharmaceutical SciencesWuhan430071China
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9
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Luo Z, Ang MJY, Chan SY, Yi Z, Goh YY, Yan S, Tao J, Liu K, Li X, Zhang H, Huang W, Liu X. Combating the Coronavirus Pandemic: Early Detection, Medical Treatment, and a Concerted Effort by the Global Community. RESEARCH (WASHINGTON, D.C.) 2020; 2020:6925296. [PMID: 32607499 PMCID: PMC7315394 DOI: 10.34133/2020/6925296] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Accepted: 04/20/2020] [Indexed: 01/08/2023]
Abstract
The World Health Organization (WHO) has declared the outbreak of 2019 novel coronavirus, known as 2019-nCoV, a pandemic, as the coronavirus has now infected over 2.6 million people globally and caused more than 185,000 fatalities as of April 23, 2020. Coronavirus disease 2019 (COVID-19) causes a respiratory illness with symptoms such as dry cough, fever, sudden loss of smell, and, in more severe cases, difficulty breathing. To date, there is no specific vaccine or treatment proven effective against this viral disease. Early and accurate diagnosis of COVID-19 is thus critical to curbing its spread and improving health outcomes. Reverse transcription-polymerase chain reaction (RT-PCR) is commonly used to detect the presence of COVID-19. Other techniques, such as recombinase polymerase amplification (RPA), loop-mediated isothermal amplification (LAMP), clustered regularly interspaced short palindromic repeats (CRISPR), and microfluidics, have allowed better disease diagnosis. Here, as part of the effort to expand screening capacity, we review advances and challenges in the rapid detection of COVID-19 by targeting nucleic acids, antigens, or antibodies. We also summarize potential treatments and vaccines against COVID-19 and discuss ongoing clinical trials of interventions to reduce viral progression.
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Affiliation(s)
- Zichao Luo
- Department of Chemistry, National University of Singapore, Singapore 117543, Singapore
| | - Melgious Jin Yan Ang
- Department of Chemistry, National University of Singapore, Singapore 117543, Singapore
- NUS Graduate School for Integrative Sciences and Engineering, Singapore 117456, Singapore
| | - Siew Yin Chan
- Frontiers Science Center for Flexible Electronics & Shaanxi Institute of Flexible Electronics, Northwestern Polytechnical University, Xi'an 710072, China
| | - Zhigao Yi
- Department of Chemistry, National University of Singapore, Singapore 117543, Singapore
| | - Yi Yiing Goh
- Department of Chemistry, National University of Singapore, Singapore 117543, Singapore
- NUS Graduate School for Integrative Sciences and Engineering, Singapore 117456, Singapore
| | - Shuangqian Yan
- Department of Chemistry, National University of Singapore, Singapore 117543, Singapore
| | - Jun Tao
- Sports Medical Centre, The Second Affiliated Hospital of Nanchang University, Nanchang 330000, China
| | - Kai Liu
- State Key Laboratory of Rare Earth Resource Utilization, Chang Chun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
| | - Xiaosong Li
- Department of Oncology, The Fourth Medical Center of Chinese People's Liberation Army General Hospital, Beijing 100048, China
| | - Hongjie Zhang
- State Key Laboratory of Rare Earth Resource Utilization, Chang Chun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Wei Huang
- Frontiers Science Center for Flexible Electronics & Shaanxi Institute of Flexible Electronics, Northwestern Polytechnical University, Xi'an 710072, China
- Key Laboratory of Flexible Electronics & Institute of Advanced Materials, Nanjing Tech University, Nanjing 211816, China
| | - Xiaogang Liu
- Department of Chemistry, National University of Singapore, Singapore 117543, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore
- Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Fuzhou 350807, China
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10
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Wei S, Levy B, Hoffman N, Cujar C, Rodney-Sandy R, Wapner R, D'Alton M, Williams Z. A rapid and simple bead-bashing-based method for genomic DNA extraction from mammalian tissue. Biotechniques 2020; 68:240-244. [PMID: 32054310 PMCID: PMC7252492 DOI: 10.2144/btn-2019-0172] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 01/24/2020] [Indexed: 11/23/2022] Open
Abstract
Conventional genomic DNA (gDNA) extraction methods can take hours to complete, may require fume hoods and represent the most time-consuming step in many gDNA-based molecular assays. We systematically optimized a bead bashing-based (BBB) approach for rapid gDNA extraction without the need for a fume hood. Human tissue specimens (n = 34) subjected to the 12-min BBB method yielded 0.40 ± 0.17 (mean ± SD) μg of gDNA per milligram of tissue, sufficient for many downstream applications, and 3- and 6-min extensions resulted in an additional 0.43 ± 0.23 μg and 0.48 ± 0.43 μg per milligram of tissue, respectively. The BBB method provides a simple and rapid method for gDNA extraction from mammalian tissue that is applicable to time-sensitive clinical applications.
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Affiliation(s)
- Shan Wei
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Brynn Levy
- Department of Pathology & Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
- Clinical Cytogenetics Laboratory, Columbia University Medical Center & the New York Presbyterian Hospital, New York, NY 10032, USA
| | - Nataly Hoffman
- Clinical Cytogenetics Laboratory, Columbia University Medical Center & the New York Presbyterian Hospital, New York, NY 10032, USA
| | - Claudia Cujar
- Department of Pathology & Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Reunet Rodney-Sandy
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Ronald Wapner
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Mary D'Alton
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Zev Williams
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, New York, NY 10032, USA
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11
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Butt SL, Erwood EC, Zhang J, Sellers HS, Young K, Lahmers KK, Stanton JB. Real-time, MinION-based, amplicon sequencing for lineage typing of infectious bronchitis virus from upper respiratory samples. J Vet Diagn Invest 2020; 33:179-190. [PMID: 32133932 PMCID: PMC7201198 DOI: 10.1177/1040638720910107] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Infectious bronchitis (IB) causes significant economic losses in the global poultry industry. Control of IB is hindered by the genetic diversity of the causative agent, infectious bronchitis virus (IBV), which has led to the emergence of several serotypes that lack complete serologic cross-protection. Although serotyping requires immunologic characterization, genotyping is an efficient means to identify IBVs detected in samples. Sanger sequencing of the S1 subunit of the spike gene is currently used to genotype IBV; however, the universal S1 PCR was created to work from cultured IBV, and it is inefficient at detecting multiple viruses in a single sample. We describe herein a MinION-based, amplicon-based sequencing (AmpSeq) method that genetically categorized IBV from clinical samples, including samples with multiple IBVs. Total RNA was extracted from 15 tracheal scrapings and choanal cleft swab samples, randomly reverse transcribed, and PCR amplified using modified S1-targeted primers. Amplicons were barcoded to allow for pooling of samples, processed per manufacturer’s instructions into a 1D MinION sequencing library, and then sequenced on the MinION. The AmpSeq method detected IBV in 13 of 14 IBV-positive samples. AmpSeq accurately detected and genotyped both IBV lineages in 3 of 5 samples containing 2 IBV lineages. Additionally, 1 sample contained 3 IBV lineages, and AmpSeq accurately detected 2 of the 3 lineages. Strain identification, including detection of different IBVs from the same lineage, was also possible with this AmpSeq method. Our results demonstrate the feasibility of using MinION-based AmpSeq for rapid and accurate identification and lineage typing of IBV from oral swab samples.
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Affiliation(s)
- Salman L Butt
- Department of Pathology, University of Georgia, Athens, GA
| | - Eric C Erwood
- Department of Pathology, University of Georgia, Athens, GA
| | - Jian Zhang
- Department of Pathology, University of Georgia, Athens, GA
| | - Holly S Sellers
- Poultry Diagnostic & Research Center, Department of Population Health, University of Georgia, Athens, GA
| | - Kelsey Young
- Department of Pathology, University of Georgia, Athens, GA
| | - Kevin K Lahmers
- Department of Biomedical Sciences & Pathobiology, VA-MD College of Veterinary Medicine, Virginia Polytechnical Institute and State University, Blacksburg, VA.,College of Veterinary Medicine, University of Georgia, Athens, GA
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Grädel C, Terrazos Miani MA, Barbani MT, Leib SL, Suter-Riniker F, Ramette A. Rapid and Cost-Efficient Enterovirus Genotyping from Clinical Samples Using Flongle Flow Cells. Genes (Basel) 2019; 10:genes10090659. [PMID: 31470607 PMCID: PMC6770998 DOI: 10.3390/genes10090659] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 08/21/2019] [Accepted: 08/26/2019] [Indexed: 01/22/2023] Open
Abstract
Enteroviruses affect millions of people worldwide and are of significant clinical importance. The standard method for enterovirus identification and genotyping still relies on Sanger sequencing of short diagnostic amplicons. In this study, we assessed the feasibility of nanopore sequencing using the new flow cell “Flongle” for fast, cost-effective, and accurate genotyping of human enteroviruses from clinical samples. PCR amplification of partial VP1 gene was performed from multiple patient samples, which were multiplexed together after barcoding PCR and sequenced multiple times on Flongle flow cells. The nanopore consensus sequences obtained from mapping reads to a reference database were compared to their Sanger sequence counterparts. Using clinical specimens sampled over different years, we were able to correctly identify enterovirus species and genotypes for all tested samples, even when doubling the number of barcoded samples on one flow cell. Average sequence identity across sequencing runs was >99.7%. Phylogenetic analysis showed that the consensus sequences achieved with Flongle delivered accurate genotyping. We conclude that the new Flongle-based assay with its fast turnover time, low cost investment, and low cost per sample represents an accurate, reproducible, and cost-effective platform for enterovirus identification and genotyping.
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Affiliation(s)
- Carole Grädel
- Institute for Infectious Diseases, University of Bern, CH-3012 Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, CH-3012 Bern, Switzerland
| | | | - Maria Teresa Barbani
- Institute for Infectious Diseases, University of Bern, CH-3012 Bern, Switzerland
| | - Stephen L Leib
- Institute for Infectious Diseases, University of Bern, CH-3012 Bern, Switzerland
| | | | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, CH-3012 Bern, Switzerland.
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Abstract
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Nanopore
sequencing offers a portable and affordable alternative
to sequencing-by-synthesis methods but suffers from lower accuracy
and cannot sequence ultrashort DNA. This puts applications such as
molecular diagnostics based on the analysis of cell-free DNA or single-nucleotide
variants (SNVs) out of reach. To overcome these limitations, we report
a nanopore-based sequencing strategy in which short target sequences
are first circularized and then amplified via rolling-circle amplification
to produce long stretches of concatemeric repeats. After sequencing
on the Oxford Nanopore Technologies MinION platform, the resulting
repeat sequences can be aligned to produce a highly accurate consensus
that reduces the high error-rate present in the individual repeats.
Using this approach, we demonstrate for the first time the ability
to obtain unbiased and accurate nanopore data for target DNA sequences
<100 bp. Critically, this approach is sensitive enough to achieve
SNV discrimination in mixtures of sequences and even enables quantitative
detection of specific variants present at ratios of <10%. Our method
is simple, cost-effective, and only requires well-established processes.
It therefore expands the utility of nanopore sequencing for molecular
diagnostics and other applications, especially in resource-limited
settings.
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Affiliation(s)
- Brandon D Wilson
- Department of Chemical Engineering , Stanford University , Stanford , California 94305 , United States
| | - Michael Eisenstein
- Department of Electrical Engineering , Stanford University , Stanford , California 94305 , United States.,Department of Radiology , Stanford University , Stanford , California 94305 , United States
| | - H Tom Soh
- Department of Electrical Engineering , Stanford University , Stanford , California 94305 , United States.,Department of Radiology , Stanford University , Stanford , California 94305 , United States.,Chan Zuckerberg Biohub , San Francisco , California 94158 , United States
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14
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Butt SL, Taylor TL, Volkening JD, Dimitrov KM, Williams-Coplin D, Lahmers KK, Miller PJ, Rana AM, Suarez DL, Afonso CL, Stanton JB. Rapid virulence prediction and identification of Newcastle disease virus genotypes using third-generation sequencing. Virol J 2018; 15:179. [PMID: 30466441 PMCID: PMC6251111 DOI: 10.1186/s12985-018-1077-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 10/10/2018] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Newcastle disease (ND) outbreaks are global challenges to the poultry industry. Effective management requires rapid identification and virulence prediction of the circulating Newcastle disease viruses (NDV), the causative agent of ND. However, these diagnostics are hindered by the genetic diversity and rapid evolution of NDVs. METHODS An amplicon sequencing (AmpSeq) workflow for virulence and genotype prediction of NDV samples using a third-generation, real-time DNA sequencing platform is described here. 1D MinION sequencing of barcoded NDV amplicons was performed using 33 egg-grown isolates, (15 NDV genotypes), and 15 clinical swab samples collected from field outbreaks. Assembly-based data analysis was performed in a customized, Galaxy-based AmpSeq workflow. MinION-based results were compared to previously published sequences and to sequences obtained using a previously published Illumina MiSeq workflow. RESULTS For all egg-grown isolates, NDV was detected and virulence and genotype were accurately predicted. For clinical samples, NDV was detected in ten of eleven NDV samples. Six of the clinical samples contained two mixed genotypes as determined by MiSeq, of which the MinION method detected both genotypes in four samples. Additionally, testing a dilution series of one NDV isolate resulted in NDV detection in a dilution as low as 101 50% egg infectious dose per milliliter. This was accomplished in as little as 7 min of sequencing time, with a 98.37% sequence identity compared to the expected consensus obtained by MiSeq. CONCLUSION The depth of sequencing, fast sequencing capabilities, accuracy of the consensus sequences, and the low cost of multiplexing allowed for effective virulence prediction and genotype identification of NDVs currently circulating worldwide. The sensitivity of this protocol was preliminary tested using only one genotype. After more extensive evaluation of the sensitivity and specificity, this protocol will likely be applicable to the detection and characterization of NDV.
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Affiliation(s)
- Salman L. Butt
- Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA 30605 USA
- Department of Pathology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602 USA
| | - Tonya L. Taylor
- Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA 30605 USA
| | | | - Kiril M. Dimitrov
- Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA 30605 USA
| | - Dawn Williams-Coplin
- Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA 30605 USA
| | - Kevin K. Lahmers
- Department of Biomedical Sciences & Pathobiology,VA-MD College of Veterinary Medicine, Virginia Tech, Blacksburg, VA USA
| | - Patti J. Miller
- Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA 30605 USA
- Department of Population Health, College of Veterinary Medicine, 953 College Station Road, Athens, GA 30602 USA
| | - Asif M. Rana
- Hivet Animal Health Business, 667-P, Johar Town, Lahore, Pakistan
| | - David L. Suarez
- Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA 30605 USA
| | - Claudio L. Afonso
- Southeast Poultry Research Laboratory, US National Poultry Research Center, Agricultural Research Service, USDA, 934 College Station Road, Athens, GA 30605 USA
| | - James B. Stanton
- Department of Pathology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602 USA
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Wei S, Weiss ZR, Gaur P, Forman E, Williams Z. Rapid preimplantation genetic screening using a handheld, nanopore-based DNA sequencer. Fertil Steril 2018; 110:910-916.e2. [PMID: 30316437 PMCID: PMC8756381 DOI: 10.1016/j.fertnstert.2018.06.014] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 06/01/2018] [Accepted: 06/08/2018] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To determine if a handheld, nanopore-based DNA sequencer can be used for rapid preimplantation genetic screening (PGS). DESIGN Laboratory study. SETTING Academic medical center. PATIENT(S) Amplified genomic DNA from euploid and aneuploid trophectoderm biopsy samples (n=9) that was also tested using traditional next generation sequencing (NGS). INTERVENTION(S) Short-read DNA library preparation and nanopore-based sequencing using a hand-held MinION sequencer. MAIN OUTCOME MEASURE(S) Comparison of cytogenetic testing result from NGS and nanopore-based sequencing and the time required for library preparation and sequencing. RESULT(S) Multiplexed short-read DNA library preparation was completed in 45 minutes. Sequencing on a single sample was completed within 20 minutes and 5 samples were simultaneously sequenced in under 2 hours. Whole-chromosome aneuploidy screening results obtained from nanopore-based sequencing were identical to those obtained using NGS. CONCLUSION(S) Here we report the first application of nanopore-based sequencing for PGS on trophectoderm biopsy samples using a novel rapid multiplxed short-read nanopore sequencing library preparation protocol. Sequencing for aneuploidy screening could be performed on a single sample in 20 minutes and on 5 samples, simultaneously, within 2 hours. Overall, nanopore sequencing is a promising tool to perform rapid PGS onsite, enabling same day testing and embryo transfer, thus obviating the need for complex, large and expensive DNA sequencers or embryo freezing.
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Affiliation(s)
- Shan Wei
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York; Columbia University Fertility Center, New York, New York
| | - Zachary R Weiss
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York
| | - Pallavi Gaur
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York
| | - Eric Forman
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York
| | - Zev Williams
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York; Columbia University Fertility Center, New York, New York.
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Rosenwaks Z, Handyside AH, Fiorentino F, Gleicher N, Paulson RJ, Schattman GL, Scott RT, Summers MC, Treff NR, Xu K. The pros and cons of preimplantation genetic testing for aneuploidy: clinical and laboratory perspectives. Fertil Steril 2018; 110:353-361. [DOI: 10.1016/j.fertnstert.2018.06.002] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 06/01/2018] [Indexed: 12/01/2022]
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