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Vormittag-Nocito E, Sukhanova M, Godley LA. The impact of next-generation sequencing for diagnosis and disease understanding of myeloid malignancies. Expert Rev Mol Diagn 2024; 24:591-600. [PMID: 39054632 DOI: 10.1080/14737159.2024.2383445] [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: 05/15/2024] [Accepted: 07/18/2024] [Indexed: 07/27/2024]
Abstract
INTRODUCTION Defining the chromosomal and molecular changes associated with myeloid neoplasms (MNs) optimizes clinical care through improved diagnosis, prognosis, treatment planning, and patient monitoring. This review will concisely describe the techniques used to profile MNs clinically today, with descriptions of challenges and emerging approaches that may soon become standard-of-care. AREAS COVERED In this review, the authors discuss molecular assessment of MNs using non-sequencing techniques, including conventional cytogenetic analysis, fluorescence in situ hybridization, chromosomal genomic microarray testing; as well as DNA- or RNA-based next-generation sequencing (NGS) assays; and sequential monitoring via digital PCR or measurable residual disease assays. The authors explain why distinguishing somatic from germline alleles is critical for optimal management. Finally, they introduce emerging technologies, such as long-read, whole exome/genome, and single-cell sequencing, which are reserved for research purposes currently but will become clinical tests soon. EXPERT OPINION The authors describe challenges to the adoption of comprehensive genomic tests for those in resource-constrained environments and for inclusion into clinical trials. In the future, all aspects of patient care will likely be influenced by the adaptation of artificial intelligence and mathematical modeling, fueled by rapid advances in telecommunications.
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Affiliation(s)
- Erica Vormittag-Nocito
- Division of Genomics, Department of Pathology and the Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Madina Sukhanova
- Division of Genomics, Department of Pathology and the Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lucy A Godley
- Division of Hematology/Oncology, Department of Medicine and the Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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Akkhasutthikun P, Kaewsapsak P, Nimsamer P, Klomkliew P, Visedthorn S, Chanchaem P, Teerapakpinyo C, Payungporn S, Luangdilok S. Tissue and Plasma-Based Highly Sensitive Blocker Displacement Amplicon Nanopore Sequencing for EGFR Mutations in Lung Cancer. Cancer Res Treat 2024; 56:455-463. [PMID: 37986562 PMCID: PMC11016658 DOI: 10.4143/crt.2023.1108] [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: 10/07/2023] [Accepted: 11/17/2023] [Indexed: 11/22/2023] Open
Abstract
PURPOSE The epidermal growth factor receptor (EGFR) mutation is a widely prevalent oncogene driver in non-small cell lung cancer (NSCLC) in East Asia. The detection of EGFR mutations is a standard biomarker test performed routinely in patients with NSCLC for the selection of targeted therapy. Here, our objective was to develop a portable new technique for detecting EGFR (19Del, T790M, and L858R) mutations based on Nanopore sequencing. MATERIALS AND METHODS The assay employed a blocker displacement amplification (BDA)-based polymerase chain reaction (PCR) technique combined with Nanopore sequencing to detect EGFR mutations. Mutant and wild-type EGFR clones were generated from DNA from H1650 (19Del heterozygous) and H1975 (T790M and L858R heterozygous) lung cancer cell lines. Then, they were mixed to assess the performance of this technique for detecting low variant allele frequencies (VAFs). Subsequently, formalin-fixed, paraffin-embedded (FFPE) tissue and cell-free DNA (cfDNA) from patients with NSCLC were used for clinical validation. RESULTS The assay can detect low VAF at 0.5% mutant mixed in wild-type EGFR. Using FFPE DNA, the concordance rates of EGFR 19Del, T790M, and L858R mutations between our method and Cobas real-time PCR were 98.46%, 100%, and 100%, respectively. For cfDNA, the concordance rates of EGFR 19Del, T790M, and L858R mutations between our method and droplet digital PCR were 94.74%, 100%, and 100%, respectively. CONCLUSION The BDA amplicon Nanopore sequencing is a highly accurate and sensitive method for the detection of EGFR mutations in clinical specimens.
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Affiliation(s)
- Patinya Akkhasutthikun
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Pornchai Kaewsapsak
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Pattaraporn Nimsamer
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Siriraj Long-Read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Pavit Klomkliew
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Suthida Visedthorn
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Pragwalai Chanchaem
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | | | - Sunchai Payungporn
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Sutima Luangdilok
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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3
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Ermini L, Driguez P. The Application of Long-Read Sequencing to Cancer. Cancers (Basel) 2024; 16:1275. [PMID: 38610953 PMCID: PMC11011098 DOI: 10.3390/cancers16071275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 03/20/2024] [Accepted: 03/21/2024] [Indexed: 04/14/2024] Open
Abstract
Cancer is a multifaceted disease arising from numerous genomic aberrations that have been identified as a result of advancements in sequencing technologies. While next-generation sequencing (NGS), which uses short reads, has transformed cancer research and diagnostics, it is limited by read length. Third-generation sequencing (TGS), led by the Pacific Biosciences and Oxford Nanopore Technologies platforms, employs long-read sequences, which have marked a paradigm shift in cancer research. Cancer genomes often harbour complex events, and TGS, with its ability to span large genomic regions, has facilitated their characterisation, providing a better understanding of how complex rearrangements affect cancer initiation and progression. TGS has also characterised the entire transcriptome of various cancers, revealing cancer-associated isoforms that could serve as biomarkers or therapeutic targets. Furthermore, TGS has advanced cancer research by improving genome assemblies, detecting complex variants, and providing a more complete picture of transcriptomes and epigenomes. This review focuses on TGS and its growing role in cancer research. We investigate its advantages and limitations, providing a rigorous scientific analysis of its use in detecting previously hidden aberrations missed by NGS. This promising technology holds immense potential for both research and clinical applications, with far-reaching implications for cancer diagnosis and treatment.
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Affiliation(s)
- Luca Ermini
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, L-1210 Luxembourg, Luxembourg
| | - Patrick Driguez
- Bioscience Core Lab, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
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Xu S, Shiomi H, Yamashita Y, Koyama S, Horie T, Baba O, Kimura M, Nakashima Y, Sowa N, Hasegawa K, Suzuki A, Suzuki Y, Kimura T, Ono K. CRISPR-Cas9-guided amplification-free genomic diagnosis for familial hypercholesterolemia using nanopore sequencing. PLoS One 2024; 19:e0297231. [PMID: 38507394 PMCID: PMC10954175 DOI: 10.1371/journal.pone.0297231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 01/01/2024] [Indexed: 03/22/2024] Open
Abstract
Familial hypercholesterolemia is an inherited disorder that remains underdiagnosed. Conventional genetic testing methods such as next-generation sequencing (NGS) or target PCR are based on the amplification process. Due to the efficiency limits of polymerase and ligase enzymes, these methods usually target short regions and do not detect large mutations straightforwardly. This study combined the long-read nanopore sequencing and CRISPR-Cas9 system to sequence the target DNA molecules without amplification. We originally designed and optimized the CRISPR-RNA panel to target the low-density lipoprotein receptor gene (LDLR) and proprotein convertase subtilisin/kexin type 9 gene (PCSK9) from human genomic DNA followed by nanopore sequencing. The average coverages for LDLR and PCSK9 were 106× and 420×, versus 1.2× for the background genome. Among them, continuous reads were 52x and 307x, respectively, and spanned the entire length of LDLR and PCSK9. We identified pathogenic mutations in both coding and splicing donor regions in LDLR. We also detected an 11,029 bp large deletion in another case. Furthermore, using continuous long reads generated from the benchmark experiment, we demonstrated how a false-positive 670 bp deletion caused by PCR amplification errors was easily eliminated.
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Affiliation(s)
- Sijia Xu
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hiroki Shiomi
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yugo Yamashita
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoshi Koyama
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takahiro Horie
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Osamu Baba
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masahiro Kimura
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yasuhiro Nakashima
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Naoya Sowa
- Division of Translational Research, National Hospital Organization, Kyoto Medical Center, Kyoto, Japan
| | - Koji Hasegawa
- Division of Translational Research, National Hospital Organization, Kyoto Medical Center, Kyoto, Japan
| | - Ayako Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier, Tokyo University, Tokyo, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier, Tokyo University, Tokyo, Japan
| | - Takeshi Kimura
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Koh Ono
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Zhou D, Guo S, Wang Y, Zhao J, Liu H, Zhou F, Huang Y, Gu Y, Jin G, Zhang Y. Functional characteristics of DNA N6-methyladenine modification based on long-read sequencing in pancreatic cancer. Brief Funct Genomics 2024; 23:150-162. [PMID: 37279592 DOI: 10.1093/bfgp/elad021] [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: 02/03/2023] [Revised: 04/18/2023] [Accepted: 05/16/2023] [Indexed: 06/08/2023] Open
Abstract
Abnormalities of DNA modifications are closely related to the pathogenesis and prognosis of pancreatic cancer. The development of third-generation sequencing technology has brought opportunities for the study of new epigenetic modification in cancer. Here, we screened the N6-methyladenine (6mA) and 5-methylcytosine (5mC) modification in pancreatic cancer based on Oxford Nanopore Technologies sequencing. The 6mA levels were lower compared with 5mC and upregulated in pancreatic cancer. We developed a novel method to define differentially methylated deficient region (DMDR), which overlapped 1319 protein-coding genes in pancreatic cancer. Genes screened by DMDRs were more significantly enriched in the cancer genes compared with the traditional differential methylation method (P < 0.001 versus P = 0.21, hypergeometric test). We then identified a survival-related signature based on DMDRs (DMDRSig) that stratified patients into high- and low-risk groups. Functional enrichment analysis indicated that 891 genes were closely related to alternative splicing. Multi-omics data from the cancer genome atlas showed that these genes were frequently altered in cancer samples. Survival analysis indicated that seven genes with high expression (ADAM9, ADAM10, EPS8, FAM83A, FAM111B, LAMA3 and TES) were significantly associated with poor prognosis. In addition, the distinction for pancreatic cancer subtypes was determined using 46 subtype-specific genes and unsupervised clustering. Overall, our study is the first to explore the molecular characteristics of 6mA modifications in pancreatic cancer, indicating that 6mA has the potential to be a target for future clinical treatment.
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Affiliation(s)
- Dianshuang Zhou
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Shiwei Guo
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Second Military Medical University (Naval Medical University), Shanghai 200433, China
| | - Yangyang Wang
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Jiyun Zhao
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Honghao Liu
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Feiyang Zhou
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Yan Huang
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Yue Gu
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Gang Jin
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Second Military Medical University (Naval Medical University), Shanghai 200433, China
| | - Yan Zhang
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
- State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
- College of Pathology, Qiqihar Medical University, Qiqihar 161042, China
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Berkovich AK, Pyshkina OA, Zorina AA, Rodin VA, Panova TV, Sergeev VG, Zvereva ME. Direct Determination of the Structure of Single Biopolymer Molecules Using Nanopore Sequencing. BIOCHEMISTRY. BIOKHIMIIA 2024; 89:S234-S248. [PMID: 38621753 DOI: 10.1134/s000629792414013x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/21/2023] [Accepted: 09/01/2023] [Indexed: 04/17/2024]
Abstract
This review highlights operational principles, features, and modern aspects of the development of third-generation sequencing technology of biopolymers focusing on the nucleic acids analysis, namely the nanopore sequencing system. Basics of the method and technical solutions used for its realization are considered, from the first works showing the possibility of creation of these systems to the easy-to-handle procedure developed by Oxford Nanopore Technologies company. Moreover, this review focuses on applications, which were developed and realized using equipment developed by the Oxford Nanopore Technologies, including assembly of whole genomes, methagenomics, direct analysis of the presence of modified bases.
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Affiliation(s)
- Anna K Berkovich
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia.
| | - Olga A Pyshkina
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Anna A Zorina
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Vladimir A Rodin
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Tatyana V Panova
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Vladimir G Sergeev
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Maria E Zvereva
- Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia
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LoTempio J, Delot E, Vilain E. Benchmarking long-read genome sequence alignment tools for human genomics applications. PeerJ 2023; 11:e16515. [PMID: 38130927 PMCID: PMC10734412 DOI: 10.7717/peerj.16515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/02/2023] [Indexed: 12/23/2023] Open
Abstract
Background The utility of long-read genome sequencing platforms has been shown in many fields including whole genome assembly, metagenomics, and amplicon sequencing. Less clear is the applicability of long reads to reference-guided human genomics, which is the foundation of genomic medicine. Here, we benchmark available platform-agnostic alignment tools on datasets from nanopore and single-molecule real-time platforms to understand their suitability in producing a genome representation. Results For this study, we leveraged publicly-available data from sample NA12878 generated on Oxford Nanopore and sample NA24385 on Pacific Biosciences platforms. We employed state of the art sequence alignment tools including GraphMap2, long-read aligner (LRA), Minimap2, CoNvex Gap-cost alignMents for Long Reads (NGMLR), and Winnowmap2. Minimap2 and Winnowmap2 were computationally lightweight enough for use at scale, while GraphMap2 was not. NGMLR took a long time and required many resources, but produced alignments each time. LRA was fast, but only worked on Pacific Biosciences data. Each tool widely disagreed on which reads to leave unaligned, affecting the end genome coverage and the number of discoverable breakpoints. No alignment tool independently resolved all large structural variants (1,001-100,000 base pairs) present in the Database of Genome Variants (DGV) for sample NA12878 or the truthset for NA24385. Conclusions These results suggest a combined approach is needed for LRS alignments for human genomics. Specifically, leveraging alignments from three tools will be more effective in generating a complete picture of genomic variability. It should be best practice to use an analysis pipeline that generates alignments with both Minimap2 and Winnowmap2 as they are lightweight and yield different views of the genome. Depending on the question at hand, the data available, and the time constraints, NGMLR and LRA are good options for a third tool. If computational resources and time are not a factor for a given case or experiment, NGMLR will provide another view, and another chance to resolve a case. LRA, while fast, did not work on the nanopore data for our cluster, but PacBio results were promising in that those computations completed faster than Minimap2. Due to its significant burden on computational resources and slow run time, Graphmap2 is not an ideal tool for exploration of a whole human genome generated on a long-read sequencing platform.
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Affiliation(s)
- Jonathan LoTempio
- Institute for Clinical and Translational Science, University of California, Irvine, CA, United States of America
- International Research Laboratory (IRL2006) “Epigenetics, Data, Politics (EpiDaPo)”, Centre National de la Recherche Scientifique, Washington, DC, United States of America
| | - Emmanuele Delot
- Center for Genetic Medicine Research, Children’s National Hospital, Washington, DC, United States of America
- Department of Genomics and Precision Medicine, George Washington University, Washington, DC, United States of America
| | - Eric Vilain
- Institute for Clinical and Translational Science, University of California, Irvine, CA, United States of America
- International Research Laboratory (IRL2006) “Epigenetics, Data, Politics (EpiDaPo)”, Centre National de la Recherche Scientifique, Washington, DC, United States of America
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8
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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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Romagnoli S, Bartalucci N, Vannucchi AM. Resolving complex structural variants via nanopore sequencing. Front Genet 2023; 14:1213917. [PMID: 37674481 PMCID: PMC10479017 DOI: 10.3389/fgene.2023.1213917] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 07/26/2023] [Indexed: 09/08/2023] Open
Abstract
The recent development of high-throughput sequencing platforms provided impressive insights into the field of human genetics and contributed to considering structural variants (SVs) as the hallmark of genome instability, leading to the establishment of several pathologic conditions, including neoplasia and neurodegenerative and cognitive disorders. While SV detection is addressed by next-generation sequencing (NGS) technologies, the introduction of more recent long-read sequencing technologies have already been proven to be invaluable in overcoming the inaccuracy and limitations of NGS technologies when applied to resolve wide and structurally complex SVs due to the short length (100-500 bp) of the sequencing read utilized. Among the long-read sequencing technologies, Oxford Nanopore Technologies developed a sequencing platform based on a protein nanopore that allows the sequencing of "native" long DNA molecules of virtually unlimited length (typical range 1-100 Kb). In this review, we focus on the bioinformatics methods that improve the identification and genotyping of known and novel SVs to investigate human pathological conditions, discussing the possibility of introducing nanopore sequencing technology into routine diagnostics.
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Affiliation(s)
| | | | - Alessandro Maria Vannucchi
- CRIMM, Center of Research and Innovation of Myeloproliferative Neoplasms, DENOTHE Excellence Center, Careggi University Hospital and Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
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Oehler JB, Wright H, Stark Z, Mallett AJ, Schmitz U. The application of long-read sequencing in clinical settings. Hum Genomics 2023; 17:73. [PMID: 37553611 PMCID: PMC10410870 DOI: 10.1186/s40246-023-00522-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 08/01/2023] [Indexed: 08/10/2023] Open
Abstract
Long-read DNA sequencing technologies have been rapidly evolving in recent years, and their ability to assess large and complex regions of the genome makes them ideal for clinical applications in molecular diagnosis and therapy selection, thereby providing a valuable tool for precision medicine. In the third-generation sequencing duopoly, Oxford Nanopore Technologies and Pacific Biosciences work towards increasing the accuracy, throughput, and portability of long-read sequencing methods while trying to keep costs low. These trades have made long-read sequencing an attractive tool for use in research and clinical settings. This article provides an overview of current clinical applications and limitations of long-read sequencing and explores its potential for point-of-care testing and health care in remote settings.
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Affiliation(s)
- Josephine B Oehler
- Biomedical Sciences and Molecular Biology, College of Public Health, Medical & Vet Sciences, James Cook University, Townsville, Australia
- College of Medicine and Dentistry, James Cook University, Townsville, Australia
| | - Helen Wright
- Nursing and Midwifery, College of Healthcare Sciences, James Cook University, Townsville, Australia
| | - Zornitza Stark
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia
- University of Melbourne, Melbourne, Australia
- Australian Genomics, Melbourne, Australia
| | - Andrew J Mallett
- College of Medicine and Dentistry, James Cook University, Townsville, Australia
- Department of Renal Medicine, Townsville University Hospital, Townsville, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Ulf Schmitz
- Biomedical Sciences and Molecular Biology, College of Public Health, Medical & Vet Sciences, James Cook University, Townsville, Australia.
- Centre for Tropical Bioinformatics and Molecular Biology, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns, Australia.
- Computational BioMedicine Lab Centenary Institute, The University of Sydney, Camperdown, Australia.
- Faculty of Medicine & Health, The University of Sydney, Camperdown, Australia.
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Kuśmirek W. Estimated Nucleotide Reconstruction Quality Symbols of Basecalling Tools for Oxford Nanopore Sequencing. SENSORS (BASEL, SWITZERLAND) 2023; 23:6787. [PMID: 37571570 PMCID: PMC10422362 DOI: 10.3390/s23156787] [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: 06/29/2023] [Revised: 07/21/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023]
Abstract
Currently, one of the fastest-growing DNA sequencing technologies is nanopore sequencing. One of the key stages involved in processing sequencer data is the basecalling process, where the input sequence of currents measured on the nanopores of the sequencer reproduces the DNA sequences, called DNA reads. Many of the applications dedicated to basecalling, together with the DNA sequence, provide the estimated quality of the reconstruction of a given nucleotide (quality symbols are contained on every fourth line of the FASTQ file; each nucleotide in the FASTQ file corresponds to exactly one estimated nucleotide reconstruction quality symbol). Herein, we compare the estimated nucleotide reconstruction quality symbols (signs from every fourth line of the FASTQ file) reported by other basecallers. The conducted experiments consisted of basecalling the same raw datasets from the nanopore device by other basecallers and comparing the provided quality symbols, denoting the estimated quality of the nucleotide reconstruction. The results show that the estimated quality reported by different basecallers may vary, depending on the tool used, particularly in terms of range and distribution. Moreover, we mapped basecalled DNA reads to reference genomes and calculated matched and mismatched rates for groups of nucleotides with the same quality symbol. Finally, the presented paper shows that the estimated nucleotide reconstruction quality reported in the basecalling process is not used in any investigated tool for processing nanopore DNA reads.
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Affiliation(s)
- Wiktor Kuśmirek
- Institute of Computer Science, Warsaw University of Technology, 00-661 Warsaw, Poland
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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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13
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Chapman R, Jones L, D'Angelo A, Suliman A, Anwar M, Bagby S. Nanopore-Based Metagenomic Sequencing in Respiratory Tract Infection: A Developing Diagnostic Platform. Lung 2023; 201:171-179. [PMID: 37009923 PMCID: PMC10067523 DOI: 10.1007/s00408-023-00612-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 03/14/2023] [Indexed: 04/04/2023]
Abstract
Respiratory tract infection (RTI) remains a significant cause of morbidity and mortality across the globe. The optimal management of RTI relies upon timely pathogen identification via evaluation of respiratory samples, a process which utilises traditional culture-based methods to identify offending microorganisms. This process can be slow and often prolongs the use of broad-spectrum antimicrobial therapy, whilst also delaying the introduction of targeted therapy as a result. Nanopore sequencing (NPS) of respiratory samples has recently emerged as a potential diagnostic tool in RTI. NPS can identify pathogens and antimicrobial resistance profiles with greater speed and efficiency than traditional sputum culture-based methods. Increased speed to pathogen identification can improve antimicrobial stewardship by reducing the use of broad-spectrum antibiotic therapy, as well as improving overall clinical outcomes. This new technology is becoming more affordable and accessible, with some NPS platforms requiring minimal sample preparation and laboratory infrastructure. However, questions regarding clinical utility and how best to implement NPS technology within RTI diagnostic pathways remain unanswered. In this review, we introduce NPS as a technology and as a diagnostic tool in RTI in various settings, before discussing the advantages and limitations of NPS, and finally what the future might hold for NPS platforms in RTI diagnostics.
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Affiliation(s)
- Robert Chapman
- Princess Alexandra Hospital, Hamstel Road, Harlow, CM20 1QX, UK.
| | - Luke Jones
- Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | - Alberto D'Angelo
- Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | - Ahmed Suliman
- Princess Alexandra Hospital, Hamstel Road, Harlow, CM20 1QX, UK
| | - Muhammad Anwar
- Princess Alexandra Hospital, Hamstel Road, Harlow, CM20 1QX, UK
| | - Stefan Bagby
- Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
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14
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Chowdhury T, Cressiot B, Parisi C, Smolyakov G, Thiébot B, Trichet L, Fernandes FM, Pelta J, Manivet P. Circulating Tumor Cells in Cancer Diagnostics and Prognostics by Single-Molecule and Single-Cell Characterization. ACS Sens 2023; 8:406-426. [PMID: 36696289 DOI: 10.1021/acssensors.2c02308] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Circulating tumor cells (CTCs) represent an interesting source of biomarkers for diagnosis, prognosis, and the prediction of cancer recurrence, yet while they are extensively studied in oncobiology research, their diagnostic utility has not yet been demonstrated and validated. Their scarcity in human biological fluids impedes the identification of dangerous CTC subpopulations that may promote metastatic dissemination. In this Perspective, we discuss promising techniques that could be used for the identification of these metastatic cells. We first describe methods for isolating patient-derived CTCs and then the use of 3D biomimetic matrixes in their amplification and analysis, followed by methods for further CTC analyses at the single-cell and single-molecule levels. Finally, we discuss how the elucidation of mechanical and morphological properties using techniques such as atomic force microscopy and molecular biomarker identification using nanopore-based detection could be combined in the future to provide patients and their healthcare providers with a more accurate diagnosis.
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Affiliation(s)
- Tafsir Chowdhury
- Centre de Ressources Biologiques Biobank Lariboisière (BB-0033-00064), DMU BioGem, AP-HP, 75010 Paris, France
| | | | - Cleo Parisi
- Centre de Ressources Biologiques Biobank Lariboisière (BB-0033-00064), DMU BioGem, AP-HP, 75010 Paris, France.,Sorbonne Université, UMR 7574, Laboratoire de Chimie de la Matière Condensée de Paris, 75005 Paris, France
| | - Georges Smolyakov
- Centre de Ressources Biologiques Biobank Lariboisière (BB-0033-00064), DMU BioGem, AP-HP, 75010 Paris, France
| | | | - Léa Trichet
- Sorbonne Université, UMR 7574, Laboratoire de Chimie de la Matière Condensée de Paris, 75005 Paris, France
| | - Francisco M Fernandes
- Sorbonne Université, UMR 7574, Laboratoire de Chimie de la Matière Condensée de Paris, 75005 Paris, France
| | - Juan Pelta
- CY Cergy Paris Université, CNRS, LAMBE, 95000 Cergy, France.,Université Paris-Saclay, Université d'Evry, CNRS, LAMBE, 91190 Evry, France
| | - Philippe Manivet
- Centre de Ressources Biologiques Biobank Lariboisière (BB-0033-00064), DMU BioGem, AP-HP, 75010 Paris, France.,Université Paris Cité, Inserm, NeuroDiderot, F-75019 Paris, France
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15
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Gilpatrick T, Wang JZ, Weiss D, Norris AL, Eshleman J, Timp W. IVT generation of guideRNAs for Cas9-enrichment Nanopore Sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.07.527484. [PMID: 36798399 PMCID: PMC9934585 DOI: 10.1101/2023.02.07.527484] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
Generating high-coverage sequencing coverage at select genomic loci has extensive applications in both research science and genetic medicine. Long-read sequencing technologies (e.g. nanopore sequencing) have expanded our ability to generate sequencing data in regions (e.g. repetitive elements) that are difficult to interrogate with short-read sequencing methods. In work presented here, we expand on our previous work using CRISPR/Cas9 for targeted nanopore sequencing by using in vitro transcribed guideRNAs, with 1100 guideRNAs in a single experiment. This approach decreases the cost per guideRNA, increases the number of guideRNAs that can be multiplexed in a single experiment, and provides a way to rapidly screen numerous guideRNAs for cutting efficiency. We apply this strategy in multiple patient-derived pancreatic cancer cell lines, demonstrating its ability to unveil structural variation in "deletion hotspots" around the tumor suppressor genes p16 (CDKN2A), and SMAD4.
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Affiliation(s)
- Timothy Gilpatrick
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | | | - David Weiss
- Agilent Technologies, Santa Clara, California, USA
| | - Alexis L Norris
- Departments of Pathology and Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - James Eshleman
- Departments of Pathology and Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Winston Timp
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Molecular Biology and Genetics, Department of Medicine, Division of Infectious Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA
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16
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Gilpatrick T, Wang JZ, Weiss D, Norris AL, Eshleman J, Timp W. IVT generation of guideRNAs for Cas9-enrichment Nanopore Sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.07.527484. [PMID: 36798399 DOI: 10.1101/2023.02.07.527484v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Generating high-coverage sequencing coverage at select genomic loci has extensive applications in both research science and genetic medicine. Long-read sequencing technologies (e.g. nanopore sequencing) have expanded our ability to generate sequencing data in regions (e.g. repetitive elements) that are difficult to interrogate with short-read sequencing methods. In work presented here, we expand on our previous work using CRISPR/Cas9 for targeted nanopore sequencing by using in vitro transcribed guideRNAs, with 1100 guideRNAs in a single experiment. This approach decreases the cost per guideRNA, increases the number of guideRNAs that can be multiplexed in a single experiment, and provides a way to rapidly screen numerous guideRNAs for cutting efficiency. We apply this strategy in multiple patient-derived pancreatic cancer cell lines, demonstrating its ability to unveil structural variation in "deletion hotspots" around the tumor suppressor genes p16 ( CDKN2A ), and SMAD4 .
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17
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Chen P, Sun Z, Wang J, Liu X, Bai Y, Chen J, Liu A, Qiao F, Chen Y, Yuan C, Sha J, Zhang J, Xu LQ, Li J. Portable nanopore-sequencing technology: Trends in development and applications. Front Microbiol 2023; 14:1043967. [PMID: 36819021 PMCID: PMC9929578 DOI: 10.3389/fmicb.2023.1043967] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/03/2023] [Indexed: 02/04/2023] Open
Abstract
Sequencing technology is the most commonly used technology in molecular biology research and an essential pillar for the development and applications of molecular biology. Since 1977, when the first generation of sequencing technology opened the door to interpreting the genetic code, sequencing technology has been developing for three generations. It has applications in all aspects of life and scientific research, such as disease diagnosis, drug target discovery, pathological research, species protection, and SARS-CoV-2 detection. However, the first- and second-generation sequencing technology relied on fluorescence detection systems and DNA polymerization enzyme systems, which increased the cost of sequencing technology and limited its scope of applications. The third-generation sequencing technology performs PCR-free and single-molecule sequencing, but it still depends on the fluorescence detection device. To break through these limitations, researchers have made arduous efforts to develop a new advanced portable sequencing technology represented by nanopore sequencing. Nanopore technology has the advantages of small size and convenient portability, independent of biochemical reagents, and direct reading using physical methods. This paper reviews the research and development process of nanopore sequencing technology (NST) from the laboratory to commercially viable tools; discusses the main types of nanopore sequencing technologies and their various applications in solving a wide range of real-world problems. In addition, the paper collates the analysis tools necessary for performing different processing tasks in nanopore sequencing. Finally, we highlight the challenges of NST and its future research and application directions.
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Affiliation(s)
- Pin Chen
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Zepeng Sun
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China
| | - Jiawei Wang
- School of Computer Science and Technology, Southeast University, Nanjing, China
| | - Xinlong Liu
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China
| | - Yun Bai
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Jiang Chen
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Anna Liu
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Feng Qiao
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China
| | - Yang Chen
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Chenyan Yuan
- Clinical Laboratory, Southeast University Zhongda Hospital, Nanjing, China
| | - Jingjie Sha
- School of Mechanical Engineering, Southeast University, Nanjing, China
| | - Jinghui Zhang
- School of Computer Science and Technology, Southeast University, Nanjing, China
| | - Li-Qun Xu
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China,*Correspondence: Li-Qun Xu, ✉
| | - Jian Li
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China,Jian Li, ✉
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18
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Park SH, Cao M, Pan Y, Davis TH, Saxena L, Deshmukh H, Fu Y, Treangen T, Sheehan VA, Bao G. Comprehensive analysis and accurate quantification of unintended large gene modifications induced by CRISPR-Cas9 gene editing. SCIENCE ADVANCES 2022; 8:eabo7676. [PMID: 36269834 PMCID: PMC9586483 DOI: 10.1126/sciadv.abo7676] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 09/02/2022] [Indexed: 05/23/2023]
Abstract
Most genome editing analyses to date are based on quantifying small insertions and deletions. Here, we show that CRISPR-Cas9 genome editing can induce large gene modifications, such as deletions, insertions, and complex local rearrangements in different primary cells and cell lines. We analyzed large deletion events in hematopoietic stem and progenitor cells (HSPCs) using different methods, including clonal genotyping, droplet digital polymerase chain reaction, single-molecule real-time sequencing with unique molecular identifier, and long-amplicon sequencing assay. Our results show that large deletions of up to several thousand bases occur with high frequencies at the Cas9 on-target cut sites on the HBB (11.7 to 35.4%), HBG (14.3%), and BCL11A (13.2%) genes in HSPCs and the PD-1 (15.2%) gene in T cells. Our findings have important implications to advancing genome editing technologies for treating human diseases, because unintended large gene modifications may persist, thus altering the biological functions and reducing the available therapeutic alleles.
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Affiliation(s)
- So Hyun Park
- Department of Bioengineering, Rice University, Houston, TX 77030, USA
| | - Mingming Cao
- Department of Bioengineering, Rice University, Houston, TX 77030, USA
| | - Yidan Pan
- Department of Bioengineering, Rice University, Houston, TX 77030, USA
| | - Timothy H. Davis
- Department of Bioengineering, Rice University, Houston, TX 77030, USA
| | - Lavanya Saxena
- Department of Bioengineering, Rice University, Houston, TX 77030, USA
| | | | - Yilei Fu
- Department of Computer Science, Rice University, Houston, TX 77005, USA
| | - Todd Treangen
- Department of Computer Science, Rice University, Houston, TX 77005, USA
| | | | - Gang Bao
- Department of Bioengineering, Rice University, Houston, TX 77030, USA
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19
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Typical Enhancers, Super-Enhancers, and Cancers. Cancers (Basel) 2022; 14:cancers14184375. [PMID: 36139535 PMCID: PMC9496678 DOI: 10.3390/cancers14184375] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 08/29/2022] [Accepted: 09/05/2022] [Indexed: 11/21/2022] Open
Abstract
Simple Summary The cancer genome has been exhaustively studied upon the advent of Next-Generation Sequencing technologies. Coding and non-coding sequences have been defined as hotspots of genomic variations that affect the naïve gene expression programs established in normal cells, thus working as endogenous drivers of carcinogenesis. In this review, we comprehensively summarize fundamental aspects of gene expression regulation, with emphasis on the impact of sequence and structural variations mapped across non-coding cis-acting elements of genes encoding for tumor-related transcription factors. Chromatin architecture, epigenome reprogramming, transcriptional enhancers and Super-enhancers, oncogene regulation, cutting-edge technologies, and pharmacological treatment are substantially highlighted. Abstract Non-coding segments of the human genome are enriched in cis-regulatory modules that constitute functional elements, such as transcriptional enhancers and Super-enhancers. A hallmark of cancer pathogenesis is the dramatic dysregulation of the “archetype” gene expression profiles of normal human cells. Genomic variations can promote such deficiencies when occurring across enhancers and Super-enhancers, since they affect their mechanistic principles, their functional capacity and specificity, and the epigenomic features of the chromatin microenvironment across which these regulatory elements reside. Here, we comprehensively describe: fundamental mechanisms of gene expression dysregulation in cancers that involve genomic abnormalities within enhancers’ and Super-enhancers’ (SEs) sequences, which alter the expression of oncogenic transcription factors (TFs); cutting-edge technologies applied for the analysis of variation-enriched hotspots of the cancer genome; and pharmacological approaches for the treatment of Super-enhancers’ aberrant function. Finally, we provide an intratumor meta-analysis, which highlights that genomic variations in transcription-factor-driven tumors are accompanied overexpression of genes, a portion of which encodes for additional cancer-related transcription factors.
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20
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Long read genome assemblies complemented by single cell RNA-sequencing reveal genetic and cellular mechanisms underlying the adaptive evolution of yak. Nat Commun 2022; 13:4887. [PMID: 36068211 PMCID: PMC9448747 DOI: 10.1038/s41467-022-32164-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/20/2022] [Indexed: 12/04/2022] Open
Abstract
Wild yak (Bos mutus) and domestic yak (Bos grunniens) are adapted to high altitude environment and have ecological, economic, and cultural significances on the Qinghai-Tibetan Plateau (QTP). Currently, the genetic and cellular bases underlying adaptations of yak to extreme conditions remains elusive. In the present study, we assembled two chromosome-level genomes, one each for wild yak and domestic yak, and screened structural variants (SVs) through the long-read data of yak and taurine cattle. The results revealed that 6733 genes contained high-FST SVs. 127 genes carrying special type of SVs were differentially expressed in lungs of the taurine cattle and yak. We then constructed the first single-cell gene expression atlas of yak and taurine cattle lung tissues and identified a yak-specific endothelial cell subtype. By integrating SVs and single-cell transcriptome data, we revealed that the endothelial cells expressed the highest proportion of marker genes carrying high-FST SVs in taurine cattle lungs. Furthermore, we identified pathways which were related to the medial thickness and formation of elastic fibers in yak lungs. These findings provide new insights into the high-altitude adaptation of yak and have important implications for understanding the physiological and pathological responses of large mammals and humans to hypoxia. The genetic bases of yak adaptations to extreme conditions remains elusive. This study compares yak and cattle at a genomic and transcriptomic level, revealing a new type of endothelial cell and candidate genes related with elastic fiber formation in yak lungs that might contribute to high altitude adaptation.
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21
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Lin YC, Chang YH, Chiu FPC, Akiyama M, Hsu CK. Application of nanopore sequencing in identifying null mutations and intragenic copy number variations (CNVs) in FLG. J Dermatol Sci 2022; 108:48-50. [DOI: 10.1016/j.jdermsci.2022.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/24/2022] [Accepted: 09/11/2022] [Indexed: 12/13/2022]
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22
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Ahmed YW, Alemu BA, Bekele SA, Gizaw ST, Zerihun MF, Wabalo EK, Teklemariam MD, Mihrete TK, Hanurry EY, Amogne TG, Gebrehiwot AD, Berga TN, Haile EA, Edo DO, Alemu BD. Epigenetic tumor heterogeneity in the era of single-cell profiling with nanopore sequencing. Clin Epigenetics 2022; 14:107. [PMID: 36030244 PMCID: PMC9419648 DOI: 10.1186/s13148-022-01323-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 08/12/2022] [Indexed: 11/29/2022] Open
Abstract
Nanopore sequencing has brought the technology to the next generation in the science of sequencing. This is achieved through research advancing on: pore efficiency, creating mechanisms to control DNA translocation, enhancing signal-to-noise ratio, and expanding to long-read ranges. Heterogeneity regarding epigenetics would be broad as mutations in the epigenome are sensitive to cause new challenges in cancer research. Epigenetic enzymes which catalyze DNA methylation and histone modification are dysregulated in cancer cells and cause numerous heterogeneous clones to evolve. Detection of this heterogeneity in these clones plays an indispensable role in the treatment of various cancer types. With single-cell profiling, the nanopore sequencing technology could provide a simple sequence at long reads and is expected to be used soon at the bedside or doctor's office. Here, we review the advancements of nanopore sequencing and its use in the detection of epigenetic heterogeneity in cancer.
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Affiliation(s)
- Yohannis Wondwosen Ahmed
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia.
| | - Berhan Ababaw Alemu
- Department of Medical Biochemistry, School of Medicine, St. Paul's Hospital, Millennium Medical College, Addis Ababa, Ethiopia
| | - Sisay Addisu Bekele
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Solomon Tebeje Gizaw
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Muluken Fekadie Zerihun
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Endriyas Kelta Wabalo
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Maria Degef Teklemariam
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Tsehayneh Kelemu Mihrete
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Endris Yibru Hanurry
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Tensae Gebru Amogne
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Assaye Desalegne Gebrehiwot
- Department of Medical Anatomy, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Tamirat Nida Berga
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Ebsitu Abate Haile
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Dessiet Oma Edo
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Bizuwork Derebew Alemu
- Department of Statistics, College of Natural and Computational Sciences, Mizan Tepi University, Tepi, Ethiopia
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23
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Ogaji YO, Lee RC, Sawbridge TI, Cocks BG, Daetwyler HD, Kaur S. De Novo Long-Read Whole-Genome Assemblies and the Comparative Pan-Genome Analysis of Ascochyta Blight Pathogens Affecting Field Pea. J Fungi (Basel) 2022; 8:884. [PMID: 36012871 PMCID: PMC9410150 DOI: 10.3390/jof8080884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/12/2022] [Accepted: 08/15/2022] [Indexed: 11/16/2022] Open
Abstract
Ascochyta Blight (AB) is a major disease of many cool-season legumes globally. In field pea, three fungal pathogens have been identified to be responsible for this disease in Australia, namely Peyronellaea pinodes, Peyronellaea pinodella and Phoma koolunga. Limited genomic resources for these pathogens have been generated, which has hampered the implementation of effective management strategies and breeding for resistant cultivars. Using Oxford Nanopore long-read sequencing, we report the first high-quality, fully annotated, near-chromosome-level nuclear and mitochondrial genome assemblies for 18 isolates from the Australian AB complex. Comparative genome analysis was performed to elucidate the differences and similarities between species and isolates using phylogenetic relationships and functional diversity. Our data indicated that P. pinodella and P. koolunga are heterothallic, while P. pinodes is homothallic. More homology and orthologous gene clusters are shared between P. pinodes and P. pinodella compared to P. koolunga. The analysis of the repetitive DNA content showed differences in the transposable repeat composition in the genomes and their expression in the transcriptomes. Significant repeat expansion in P. koolunga's genome was seen, with strong repeat-induced point mutation (RIP) activity being evident. Phylogenetic analysis revealed that genetic diversity can be exploited for species marker development. This study provided the much-needed genetic resources and characterization of the AB species to further drive research in key areas such as disease epidemiology and host-pathogen interactions.
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Affiliation(s)
- Yvonne O. Ogaji
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Melbourne, VIC 3083, Australia
- School of Applied Systems Biology, La Trobe University, Melbourne, VIC 3086, Australia
| | - Robert C. Lee
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
| | - Tim I. Sawbridge
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Melbourne, VIC 3083, Australia
- School of Applied Systems Biology, La Trobe University, Melbourne, VIC 3086, Australia
| | - Benjamin G. Cocks
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Melbourne, VIC 3083, Australia
- School of Applied Systems Biology, La Trobe University, Melbourne, VIC 3086, Australia
| | - Hans D. Daetwyler
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Melbourne, VIC 3083, Australia
- School of Applied Systems Biology, La Trobe University, Melbourne, VIC 3086, Australia
| | - Sukhjiwan Kaur
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Melbourne, VIC 3083, Australia
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24
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Athanasopoulou K, Adamopoulos PG, Scorilas A. Structural characterization and expression analysis of novel MAPK1 transcript variants with the development of a multiplexed targeted nanopore sequencing approach. Int J Biochem Cell Biol 2022; 150:106272. [PMID: 35878809 DOI: 10.1016/j.biocel.2022.106272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 06/17/2022] [Accepted: 07/21/2022] [Indexed: 11/27/2022]
Abstract
Mitogen-activated protein kinases (MAPKs) represent a protein family firmly involved in many signaling cascades, regulating a vast spectrum of stimulated cellular processes. Studies have shown that alternatively spliced isoforms of MAPKs play a crucial role in determining the desired cell fate in response to specific stimulations. Although the implication of most MAPKs transcript variants in the MAPK signaling cascades has been clarified, the transcriptional profile of a pivotal member, MAPK1, has not been investigated for the existence of additional isoforms. In the current study we developed and implemented targeted long-read and short-read sequencing approaches to identify novel MAPK1 splice variants. The combination of nanopore sequencing and NGS enabled the implementation of a long-read polishing pipeline using error-rate correction algorithms, which empowered the high accuracy of the results and increased the sequencing efficiency. The utilized multiplexing option in the nanopore sequencing approach allowed not only the identification of novel MAPK1 mRNAs, but also elucidated their expression profile in multiple human malignancies and non-cancerous cell lines. Our study highlights for the first time the existence of ten previously undescribed MAPK1 mRNAs (MAPK1 v.3 - v.12) and evaluates their relative expression levels in comparison to the main MAPK1 v.1. The optimization and employment of qPCR assays revealed that MAPK1 v.3 - v.12 can be quantified in a wide spectrum of human cell lines with notable specificity. Finally, our findings suggest that the novel protein-coding mRNAs are highly expected to participate in the regulation of MAPK pathways, demonstrating differential localizations and functionalities.
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Affiliation(s)
- Konstantina Athanasopoulou
- Department of Biochemistry and Molecular Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis G Adamopoulos
- Department of Biochemistry and Molecular Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Andreas Scorilas
- Department of Biochemistry and Molecular Biology, National and Kapodistrian University of Athens, Athens, Greece.
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25
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Hamdan A, Ewing A. Unravelling the tumour genome: The evolutionary and clinical impacts of structural variants in tumourigenesis. J Pathol 2022; 257:479-493. [PMID: 35355264 PMCID: PMC9321913 DOI: 10.1002/path.5901] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/16/2022] [Accepted: 03/28/2022] [Indexed: 11/15/2022]
Abstract
Structural variants (SVs) represent a major source of aberration in tumour genomes. Given the diversity in the size and type of SVs present in tumours, the accurate detection and interpretation of SVs in tumours is challenging. New classes of complex structural events in tumours are discovered frequently, and the definitions of the genomic consequences of complex events are constantly being refined. Detailed analyses of short-read whole-genome sequencing (WGS) data from large tumour cohorts facilitate the interrogation of SVs at orders of magnitude greater scale and depth. However, the inherent technical limitations of short-read WGS prevent us from accurately detecting and investigating the impact of all the SVs present in tumours. The expanded use of long-read WGS will be critical for improving the accuracy of SV detection, and in fully resolving complex SV events, both of which are crucial for determining the impact of SVs on tumour progression and clinical outcome. Despite the present limitations, we demonstrate that SVs play an important role in tumourigenesis. In particular, SVs contribute significantly to late-stage tumour development and to intratumoural heterogeneity. The evolutionary trajectories of SVs represent a window into the clonal dynamics in tumours, a comprehensive understanding of which will be vital for influencing patient outcomes in the future. Recent findings have highlighted many clinical applications of SVs in cancer, from early detection to biomarkers for treatment response and prognosis. As the methods to detect and interpret SVs improve, elucidating the full breadth of the complex SV landscape and determining how these events modulate tumour evolution will improve our understanding of cancer biology and our ability to capitalise on the utility of SVs in the clinical management of cancer patients. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Alhafidz Hamdan
- MRC Human Genetics Unit, Institute of Genetics and CancerUniversity of EdinburghEdinburghUK
- Cancer Research UK Edinburgh Centre, Institute of Genetics and CancerUniversity of EdinburghEdinburghUK
| | - Ailith Ewing
- MRC Human Genetics Unit, Institute of Genetics and CancerUniversity of EdinburghEdinburghUK
- Cancer Research UK Edinburgh Centre, Institute of Genetics and CancerUniversity of EdinburghEdinburghUK
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26
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Tanimoto IMF, Cressiot B, Greive SJ, Le Pioufle B, Bacri L, Pelta J. Focus on using nanopore technology for societal health, environmental, and energy challenges. NANO RESEARCH 2022; 15:9906-9920. [PMID: 35610982 PMCID: PMC9120803 DOI: 10.1007/s12274-022-4379-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/11/2022] [Accepted: 03/30/2022] [Indexed: 06/15/2023]
Abstract
With an increasing global population that is rapidly ageing, our society faces challenges that impact health, environment, and energy demand. With this ageing comes an accumulation of cellular changes that lead to the development of diseases and susceptibility to infections. This impacts not only the health system, but also the global economy. As the population increases, so does the demand for energy and the emission of pollutants, leading to a progressive degradation of our environment. This in turn impacts health through reduced access to arable land, clean water, and breathable air. New monitoring approaches to assist in environmental control and minimize the impact on health are urgently needed, leading to the development of new sensor technologies that are highly sensitive, rapid, and low-cost. Nanopore sensing is a new technology that helps to meet this purpose, with the potential to provide rapid point-of-care medical diagnosis, real-time on-site pollutant monitoring systems to manage environmental health, as well as integrated sensors to increase the efficiency and storage capacity of renewable energy sources. In this review we discuss how the powerful approach of nanopore based single-molecule, or particle, electrical promises to overcome existing and emerging societal challenges, providing new opportunities and tools for personalized medicine, localized environmental monitoring, and improved energy production and storage systems.
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Affiliation(s)
- Izadora Mayumi Fujinami Tanimoto
- LAMBE, CNRS, Univ Evry, Université Paris-Saclay, 91025 Evry-Courcouronnes, France
- LuMIn, CNRS, Institut d’Alembert, ENS Paris-Saclay, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | | | | | - Bruno Le Pioufle
- LuMIn, CNRS, Institut d’Alembert, ENS Paris-Saclay, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Laurent Bacri
- LAMBE, CNRS, Univ Evry, Université Paris-Saclay, 91025 Evry-Courcouronnes, France
| | - Juan Pelta
- LAMBE, CNRS, Univ Evry, Université Paris-Saclay, 91025 Evry-Courcouronnes, France
- LAMBE, CNRS, CY Cergy Paris Université, 95000 Cergy, France
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Third-Generation Cytogenetic Analysis: Diagnostic Application of Long-Read Sequencing. J Mol Diagn 2022; 24:711-718. [PMID: 35526834 DOI: 10.1016/j.jmoldx.2022.03.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 02/23/2022] [Accepted: 03/25/2022] [Indexed: 11/21/2022] Open
Abstract
Copy number variants (CNVs) play important roles in the pathogenesis of several genetic syndromes. Traditional and molecular karyotyping are considered the first-tier diagnostic tests to detect macroscopic and cryptic deletions/duplications. However, their time-consuming and laborious experimental protocols protract diagnostic times from 3 to 15 days. Nanopore sequencing has the ability to reduce time to results for the detection of CNVs with the same resolution of current state-of-the-art diagnostic tests. Nanopore sequencing was compared to molecular karyotyping for the detection of pathogenic CNVs of seven patients with previously diagnosed causative CNVs of different sizes and cellular fractions. Larger chromosomal anomalies included trisomy 21 and mosaic tetrasomy 12p. Among smaller CNVs, two genomic imbalances of 1.3 Mb, a small deletion of 170 kb, and two mosaic deletions (1.2 Mb and 408 kb) were tested. DNA was sequenced and data generated during runs were analyzed in online mode. All pathogenic CNVs were identified with detection time inversely proportional to size and cellular fraction. Aneuploidies were called after only 30 minutes of sequencing, whereas 30 hours were needed to call small CNVs. These results demonstrate the clinical utility of our approach that allows the molecular diagnosis of genomic disorders within a 30-minute to 30-hour time frame and its easy implementation as a routinary diagnostic tool.
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28
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Nanodevices for Biological and Medical Applications: Development of Single-Molecule Electrical Measurement Method. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12031539] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
A comprehensive detection of a wide variety of diagnostic markers is required for the realization of personalized medicine. As a sensor to realize such personalized medicine, a single molecule electrical measurement method using nanodevices is currently attracting interest for its comprehensive simultaneous detection of various target markers for use in biological and medical application. Single-molecule electrical measurement using nanodevices, such as nanopore, nanogap, or nanopipette devices, has the following features:; high sensitivity, low-cost, high-throughput detection, easy-portability, low-cost availability by mass production technologies, and the possibility of integration of various functions and multiple sensors. In this review, I focus on the medical applications of single- molecule electrical measurement using nanodevices. This review provides information on the current status and future prospects of nanodevice-based single-molecule electrical measurement technology, which is making a full-scale contribution to realizing personalized medicine in the future. Future prospects include some discussion on of the current issues on the expansion of the application requirements for single-mole-cule measurement.
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Wu YC, Chen CI, Chen PY, Kuo CH, Hung YH, Peng KY, Wu VC, Tsai-Wu JJ, Hsu CL. GRAde: a long-read sequencing approach to efficiently identifying the CYP11B1/CYP11B2 chimeric form in patients with glucocorticoid-remediable aldosteronism. BMC Bioinformatics 2022; 22:613. [PMID: 35012455 PMCID: PMC8750845 DOI: 10.1186/s12859-022-04561-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 01/03/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Glucocorticoid-remediable aldosteronism (GRA) is a form of heritable hypertension caused by a chimeric fusion resulting from unequal crossing over between 11β-hydroxylase (CYP11B1) and aldosterone synthase (CYP11B2), which are two genes with similar sequences. Different crossover patterns of the CYP11B1 and CYP11B2 chimeric genes may be associated with a variety of clinical presentations. It is therefore necessary to develop an efficient approach for identifying the differences between the hybrid genes of a patient with GRA. RESULTS We developed a long-read analysis pipeline named GRAde (GRA deciphering), which utilizes the nonidentical bases in the CYP11B1 and CYP11B2 genomic sequences to identify and visualize the chimeric form. We sequenced the polymerase chain reaction (PCR) products of the CYP11B1/CYP11B2 chimeric gene from 36 patients with GRA using the Nanopore MinION device and analyzed the sequences using GRAde. Crossover events were identified for 30 out of the 36 samples. The crossover sites appeared in the region exhibiting high sequence similarity between CYP11B1 and CYP11B2, and 53.3% of the cases were identified as having a gene conversion in intron 2. More importantly, there were six cases for whom the PCR products indicated a chimeric gene, but the GRAde results revealed no crossover pattern. The crossover regions were further verified by Sanger sequencing analysis. CONCLUSIONS PCR-based target enrichment followed by long-read sequencing is an efficient and precise approach to dissecting complex genomic regions, such as those involved in GRA mutations, which could be directly applied to clinical diagnosis. The scripts of GRAde are available at https://github.com/hsu-binfo/GRAde .
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Affiliation(s)
- Yu-Ching Wu
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Chia-I Chen
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Peng-Ying Chen
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chun-Hung Kuo
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Yi-Hsuan Hung
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Kang-Yung Peng
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Vin-Cent Wu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Jyy-Jih Tsai-Wu
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Chia-Lang Hsu
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
- Graduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei, Taiwan
| | - TAIPAI group
- TAIPAI, Taiwan Primary Aldosteronism Investigator Group and TSA, Taiwan Society of Aldosteronism, Taipei, Taiwan
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Lamb HJ, Hayes BJ, Randhawa IAS, Nguyen LT, Ross EM. Genomic prediction using low-coverage portable Nanopore sequencing. PLoS One 2021; 16:e0261274. [PMID: 34910782 PMCID: PMC8673642 DOI: 10.1371/journal.pone.0261274] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 11/26/2021] [Indexed: 11/18/2022] Open
Abstract
Most traits in livestock, crops and humans are polygenic, that is, a large number of loci contribute to genetic variation. Effects at these loci lie along a continuum ranging from common low-effect to rare high-effect variants that cumulatively contribute to the overall phenotype. Statistical methods to calculate the effect of these loci have been developed and can be used to predict phenotypes in new individuals. In agriculture, these methods are used to select superior individuals using genomic breeding values; in humans these methods are used to quantitatively measure an individual’s disease risk, termed polygenic risk scores. Both fields typically use SNP array genotypes for the analysis. Recently, genotyping-by-sequencing has become popular, due to lower cost and greater genome coverage (including structural variants). Oxford Nanopore Technologies’ (ONT) portable sequencers have the potential to combine the benefits genotyping-by-sequencing with portability and decreased turn-around time. This introduces the potential for in-house clinical genetic disease risk screening in humans or calculating genomic breeding values on-farm in agriculture. Here we demonstrate the potential of the later by calculating genomic breeding values for four traits in cattle using low-coverage ONT sequence data and comparing these breeding values to breeding values calculated from SNP arrays. At sequencing coverages between 2X and 4X the correlation between ONT breeding values and SNP array-based breeding values was > 0.92 when imputation was used and > 0.88 when no imputation was used. With an average sequencing coverage of 0.5x the correlation between the two methods was between 0.85 and 0.92 using imputation, depending on the trait. This suggests that ONT sequencing has potential for in clinic or on-farm genomic prediction, however, further work to validate these findings in a larger population still remains.
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Affiliation(s)
- Harrison J. Lamb
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
- * E-mail:
| | - Ben J. Hayes
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
| | - Imtiaz A. S. Randhawa
- School of Veterinary Science, The University of Queensland, Brisbane, QLD, Australia
| | - Loan T. Nguyen
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
| | - Elizabeth M. Ross
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
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Chen Z, He X. Application of third-generation sequencing in cancer research. MEDICAL REVIEW (BERLIN, GERMANY) 2021; 1:150-171. [PMID: 37724303 PMCID: PMC10388785 DOI: 10.1515/mr-2021-0013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/09/2021] [Indexed: 09/20/2023]
Abstract
In the past several years, nanopore sequencing technology from Oxford Nanopore Technologies (ONT) and single-molecule real-time (SMRT) sequencing technology from Pacific BioSciences (PacBio) have become available to researchers and are currently being tested for cancer research. These methods offer many advantages over most widely used high-throughput short-read sequencing approaches and allow the comprehensive analysis of transcriptomes by identifying full-length splice isoforms and several other posttranscriptional events. In addition, these platforms enable structural variation characterization at a previously unparalleled resolution and direct detection of epigenetic marks in native DNA and RNA. Here, we present a comprehensive summary of important applications of these technologies in cancer research, including the identification of complex structure variants, alternatively spliced isoforms, fusion transcript events, and exogenous RNA. Furthermore, we discuss the impact of the newly developed nanopore direct RNA sequencing (RNA-Seq) approach in advancing epitranscriptome research in cancer. Although the unique challenges still present for these new single-molecule long-read methods, they will unravel many aspects of cancer genome complexity in unprecedented ways and present an encouraging outlook for continued application in an increasing number of different cancer research settings.
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Affiliation(s)
- Zhiao Chen
- Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xianghuo He
- Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
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32
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Evaluation of copy number variants for genetic hearing loss: a review of current approaches and recent findings. Hum Genet 2021; 141:387-400. [PMID: 34811589 DOI: 10.1007/s00439-021-02365-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 09/02/2021] [Indexed: 01/22/2023]
Abstract
Structural variation includes a change in copy number, orientation, or location of a part of the genome. Copy number variants (CNVs) are a common cause of genetic hearing loss, comprising nearly 20% of diagnosed cases. While large deletions involving the gene STRC are the most common pathogenic CNVs, a significant proportion of known hearing loss genes also contain pathogenic CNVs. In this review, we provide an overview of currently used methods for detection of CNVs in genes known to cause hearing loss including molecular techniques such as multiplex ligation probe amplification (MLPA) and digital droplet polymerase chain reaction (ddPCR), array-CGH and single-nucleotide polymorphism (SNP) arrays, as well as techniques for detection of CNVs using next-generation sequencing data analysis including targeted gene panel, exome, and genome sequencing data. In addition, in this review, we compile published data on pathogenic hearing loss CNVs to provide an up-to-date overview. We show that CNVs have been identified in 29 different non-syndromic hearing loss genes. An understanding of the contribution of CNVs to genetic hearing loss is critical to the current diagnosis of hearing loss and is crucial for future gene therapies. Thus, evaluation for CNVs is required in any modern pipeline for genetic diagnosis of hearing loss.
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Wang Y, Zhao Y, Bollas A, Wang Y, Au KF. Nanopore sequencing technology, bioinformatics and applications. Nat Biotechnol 2021; 39:1348-1365. [PMID: 34750572 PMCID: PMC8988251 DOI: 10.1038/s41587-021-01108-x] [Citation(s) in RCA: 512] [Impact Index Per Article: 170.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 09/22/2021] [Indexed: 12/13/2022]
Abstract
Rapid advances in nanopore technologies for sequencing single long DNA and RNA molecules have led to substantial improvements in accuracy, read length and throughput. These breakthroughs have required extensive development of experimental and bioinformatics methods to fully exploit nanopore long reads for investigations of genomes, transcriptomes, epigenomes and epitranscriptomes. Nanopore sequencing is being applied in genome assembly, full-length transcript detection and base modification detection and in more specialized areas, such as rapid clinical diagnoses and outbreak surveillance. Many opportunities remain for improving data quality and analytical approaches through the development of new nanopores, base-calling methods and experimental protocols tailored to particular applications.
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Affiliation(s)
- Yunhao Wang
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Yue Zhao
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
- Biomedical Informatics Shared Resources, The Ohio State University, Columbus, OH, USA
| | - Audrey Bollas
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Yuru Wang
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Kin Fai Au
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
- Biomedical Informatics Shared Resources, The Ohio State University, Columbus, OH, USA.
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Sakamoto Y, Zaha S, Suzuki Y, Seki M, Suzuki A. Application of long-read sequencing to the detection of structural variants in human cancer genomes. Comput Struct Biotechnol J 2021; 19:4207-4216. [PMID: 34527193 PMCID: PMC8350331 DOI: 10.1016/j.csbj.2021.07.030] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 07/20/2021] [Accepted: 07/25/2021] [Indexed: 01/02/2023] Open
Abstract
In recent years, the so-called long-read sequencing technology has had a substantial impact on various aspects of genome sciences. Here, we introduce recent studies of cancerous structural variants (SVs) using long-read sequencing technologies, namely Pacific Biosciences (PacBio) sequencers, Oxford Nanopore Technologies (ONT) sequencers, and linked-read methods. By taking advantage of long-read lengths, these technologies have enabled the precise detection of SVs, including long insertions by transposable elements, such as LINE-1. In addition to SV detection, the epigenome status (including DNA methylation and haplotype information) surrounding SV loci has also been unveiled by long-read sequencing technologies, to identify the effects of SVs. Among the various research fields in which long-read sequencing has been applied, cancer genomics has shown the most remarkable advances. In fact, many studies are beginning to shed light on the detection of SVs and the elucidation of their complex structures in various types of cancer. In the particular case of cancers, we summarize the technical limitations of the application of this technology to the analysis of clinical samples. We will introduce recent achievements from this viewpoint. However, a similar approach will be started for other applications in the near future. Therefore, by complementing the current short-read sequencing analysis, long-read sequencing should reveal the complex nature of human genomes in their healthy and disease states, which will open a new opportunity for a better understanding of disease development and for a novel strategy for drug development.
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Affiliation(s)
- Yoshitaka Sakamoto
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan
| | - Suzuko Zaha
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan
| | - Masahide Seki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan
| | - Ayako Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan
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35
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Rodriguez PD, Mariani M, Gay J, Hogan TC, Amiel E, Deming PB, Frietze S. A guided-inquiry investigation of genetic variants using Oxford nanopore sequencing for an undergraduate molecular biology laboratory course. BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION : A BIMONTHLY PUBLICATION OF THE INTERNATIONAL UNION OF BIOCHEMISTRY AND MOLECULAR BIOLOGY 2021; 49:588-597. [PMID: 33939256 PMCID: PMC8356555 DOI: 10.1002/bmb.21514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 02/24/2021] [Accepted: 03/30/2021] [Indexed: 06/12/2023]
Abstract
Next Generation Sequencing (NGS) has become an important tool in the biological sciences and has a growing number of applications across medical fields. Currently, few undergraduate programs provide training in the design and implementation of NGS applications. Here, we describe an inquiry-based laboratory exercise for a college-level molecular biology laboratory course that uses real-time MinION deep sequencing and bioinformatics to investigate characteristic genetic variants found in cancer cell-lines. The overall goal for students was to identify non-small cell lung cancer (NSCLC) cell-lines based on their unique genomic profiles. The units described in this laboratory highlight core principles in multiplex PCR primer design, real-time deep sequencing, and bioinformatics analysis for genetic variants. We found that the MinION device is an appropriate, feasible tool that provides a comprehensive, hands-on NGS experience for undergraduates. Student evaluations demonstrated increased confidence in using molecular techniques and enhanced understanding of NGS concepts. Overall, this exercise provides a pedagogical tool for incorporating NGS approaches in the teaching laboratory as way of enhancing students' comprehension of genomic sequence analysis. Further, this NGS lab module can easily be added to a variety of lab-based courses to help undergraduate students learn current DNA sequencing methods with limited effort and cost.
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Affiliation(s)
- Princess D. Rodriguez
- Department of Biomedical and Health SciencesUniversity of VermontBurlingtonVermontUSA
- Cellular Molecular Biomedical Sciences ProgramUniversity of VermontBurlingtonVermontUSA
| | - Michael Mariani
- Department of Biomedical and Health SciencesUniversity of VermontBurlingtonVermontUSA
- Cellular Molecular Biomedical Sciences ProgramUniversity of VermontBurlingtonVermontUSA
| | - Jamie Gay
- Department of Biomedical and Health SciencesUniversity of VermontBurlingtonVermontUSA
| | - Tyler C. Hogan
- Department of Biomedical and Health SciencesUniversity of VermontBurlingtonVermontUSA
| | - Eyal Amiel
- Department of Biomedical and Health SciencesUniversity of VermontBurlingtonVermontUSA
- Cellular Molecular Biomedical Sciences ProgramUniversity of VermontBurlingtonVermontUSA
| | - Paula B. Deming
- Department of Biomedical and Health SciencesUniversity of VermontBurlingtonVermontUSA
- Cellular Molecular Biomedical Sciences ProgramUniversity of VermontBurlingtonVermontUSA
- The University of Vermont Cancer CenterBurlingtonVermontUSA
| | - Seth Frietze
- Department of Biomedical and Health SciencesUniversity of VermontBurlingtonVermontUSA
- Cellular Molecular Biomedical Sciences ProgramUniversity of VermontBurlingtonVermontUSA
- The University of Vermont Cancer CenterBurlingtonVermontUSA
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36
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Lin B, Hui J, Mao H. Nanopore Technology and Its Applications in Gene Sequencing. BIOSENSORS-BASEL 2021; 11:bios11070214. [PMID: 34208844 PMCID: PMC8301755 DOI: 10.3390/bios11070214] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/22/2021] [Accepted: 06/25/2021] [Indexed: 12/14/2022]
Abstract
In recent years, nanopore technology has become increasingly important in the field of life science and biomedical research. By embedding a nano-scale hole in a thin membrane and measuring the electrochemical signal, nanopore technology can be used to investigate the nucleic acids and other biomacromolecules. One of the most successful applications of nanopore technology, the Oxford Nanopore Technology, marks the beginning of the fourth generation of gene sequencing technology. In this review, the operational principle and the technology for signal processing of the nanopore gene sequencing are documented. Moreover, this review focuses on the applications using nanopore gene sequencing technology, including the diagnosis of cancer, detection of viruses and other microbes, and the assembly of genomes. These applications show that nanopore technology is promising in the field of biological and biomedical sensing.
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Affiliation(s)
- Bo Lin
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; (B.L.); (J.H.)
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianan Hui
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; (B.L.); (J.H.)
| | - Hongju Mao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China; (B.L.); (J.H.)
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence: ; Tel.: +86-21-62511070-8707
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37
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Chmel M, Bartoš O, Beran O, Pajer P, Dresler J, Čurdová M, Holub M. Salmonella Paratyphi Infection: Use of Nanopore Sequencing as a Vivid Alternative for the Identification of Invading Bacteria. Prague Med Rep 2021; 122:96-105. [PMID: 34137685 DOI: 10.14712/23362936.2021.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
In our study we present an overview of the use of Oxford Nanopore Technologies (ONT) sequencing technology on the background of Enteric fever. Unlike traditional methods (e.g., qPCR, serological tests), the nanopore sequencing technology enables virtually real-time data generation and highly accurate pathogen identification and characterization. Blood cultures were obtained from a 48-year-old female patient suffering from a high fever, headache and diarrhea. Nevertheless, both the initial serological tests and stool culture appeared to be negative. Therefore, the bacterial isolate from blood culture was used for nanopore sequencing (ONT). This technique in combination with subsequent bioinformatic analyses allowed for prompt identification of the disease-causative agent as Salmonella enterica subsp. enterica serovar Paratyphi A. The National Reference Laboratory for Salmonella (NIPH) independently reported this isolate also as serovar Paratyphi A on the basis of results of biochemical and agglutination tests. Therefore, our results are in concordance with certified standards. Furthermore, the data enabled us to assess some basic questions concerning the comparative genomics, i.e., to describe whether the isolated strain differs from the formerly published ones or not. Quite surprisingly, these results indicate that we have detected a novel and so far, unknown variety of this bacteria.
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Affiliation(s)
- Martin Chmel
- Department of Infectious Diseases, First Faculty of Medicine, Charles University and Military University Hospital Prague, Prague, Czech Republic. .,Military Health Institute, Military Medical Agency, Prague, Czech Republic.
| | - Oldřich Bartoš
- Institute of Animal Physiology and Genetics, Laboratory of Fish Genetics, The Czech Academy of Sciences, Liběchov, Czech Republic.,Military Health Institute, Military Medical Agency, Prague, Czech Republic
| | - Ondřej Beran
- Department of Infectious Diseases, First Faculty of Medicine, Charles University and Military University Hospital Prague, Prague, Czech Republic
| | - Petr Pajer
- Military Health Institute, Military Medical Agency, Prague, Czech Republic
| | - Jiří Dresler
- Military Health Institute, Military Medical Agency, Prague, Czech Republic
| | - Martina Čurdová
- Department of Clinical Microbiology, Military University Hospital Prague, Prague, Czech Republic
| | - Michal Holub
- Department of Infectious Diseases, First Faculty of Medicine, Charles University and Military University Hospital Prague, Prague, Czech Republic
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Gu W, Zhou A, Wang L, Sun S, Cui X, Zhu D. SVLR: Genome Structural Variant Detection Using Long-Read Sequencing Data. J Comput Biol 2021; 28:774-788. [PMID: 33973820 DOI: 10.1089/cmb.2021.0048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Genome structural variants (SVs) have great impacts on human phenotype and diversity, and have been linked to numerous diseases. Long-read sequencing technologies arise to make it possible to find SVs of as long as 10,000 nucleotides. Thus, long read-based SV detection has been drawing attention of many recent research projects, and many tools have been developed for long reads to detect SVs recently. In this article, we present a new method, called SVLR, to detect SVs based on long-read sequencing data. Comparing with existing methods, SVLR can detect three new kinds of SVs: block replacements, block interchanges, and translocations. Although these new SVs are structurally more complicated, SVLR achieves accuracies that are comparable with those of the classic SVs. Moreover, for the classic SVs that can be detected by state-of-the-art methods (e.g., SVIM and Sniffles), our experiments demonstrate recall improvements of up to 38% without harming the precisions (i.e., >78%). We also point out three directions to further improve SV detection in the future. Source codes: https://github.com/GWYSDU/SVLR.
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Affiliation(s)
- Wenyan Gu
- School of Computer Science and Technology, Shandong University, Qindao, China
| | - Aizhong Zhou
- School of Computer Science and Technology, Shandong University, Qindao, China
| | - Lusheng Wang
- Department of Computer Science, City University of Hong Kong, Hong Kong, China
| | - Shiwei Sun
- Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
| | - Xuefeng Cui
- School of Computer Science and Technology, Shandong University, Qindao, China
| | - Daming Zhu
- School of Computer Science and Technology, Shandong University, Qindao, China
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39
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Ito Y, Terao Y, Noma S, Tagami M, Yoshida E, Hayashizaki Y, Itoh M, Kawaji H. Nanopore sequencing reveals TACC2 locus complexity and diversity of isoforms transcribed from an intronic promoter. Sci Rep 2021; 11:9355. [PMID: 33931666 PMCID: PMC8087818 DOI: 10.1038/s41598-021-88018-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 04/07/2021] [Indexed: 12/12/2022] Open
Abstract
Gene expression is controlled at the transcriptional and post-transcriptional levels. The TACC2 gene was known to be associated with tumors but the control of its expression is unclear. We have reported that activity of the intronic promoter p10 of TACC2 in primary lesion of endometrial cancer is indicative of lymph node metastasis among a low-risk patient group. Here, we analyze the intronic promoter derived isoforms in JHUEM-1 endometrial cancer cells, and primary tissues of endometrial cancers and normal endometrium. Full-length cDNA amplicons are produced by long-range PCR and subjected to nanopore sequencing followed by computational error correction. We identify 16 stable, 4 variable, and 9 rare exons including 3 novel exons validated independently. All variable and rare exons reside N-terminally of the TACC domain and contribute to isoform variety. We found 240 isoforms as high-confidence, supported by more than 20 reads. The large number of isoforms produced from one minor promoter indicates the post-transcriptional complexity coupled with transcription at the TACC2 locus in cancer and normal cells.
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Affiliation(s)
- Yosuke Ito
- Faculty of Medicine, Department of Obstetrics and Gynecology, Juntendo University, 2-1-1 Hongo, Bunkyo, Tokyo, 113-8421, Japan.,Preventive Medicine and Applied Genomics Unit, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi, Yokohama, Kanagawa, 230-0045, Japan
| | - Yasuhisa Terao
- Faculty of Medicine, Department of Obstetrics and Gynecology, Juntendo University, 2-1-1 Hongo, Bunkyo, Tokyo, 113-8421, Japan.
| | - Shohei Noma
- Laboratory for Comprehensive Genomic Analysis, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi, Yokohama, Kanagawa, 230-0045, Japan
| | - Michihira Tagami
- Laboratory for Comprehensive Genomic Analysis, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi, Yokohama, Kanagawa, 230-0045, Japan
| | - Emiko Yoshida
- Faculty of Medicine, Department of Obstetrics and Gynecology, Juntendo University, 2-1-1 Hongo, Bunkyo, Tokyo, 113-8421, Japan.,RIKEN Center for Integrative Medical Sciences, Nucleic Acid Diagnostic System Development Unit, 1-7-22 Suehiro-cho, Tsurumi, Yokohama, Kanagawa, 230-0045, Japan.,Diagnostics and Therapeutics of Intractable Diseases, Intractable Disease Research Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yoshihide Hayashizaki
- RIKEN Preventive Medicine and Diagnosis Innovation Program, 2-1 Hirosawa, Wako, Yokohama, Saitama, 351-0198, Japan
| | - Masayoshi Itoh
- RIKEN Preventive Medicine and Diagnosis Innovation Program, 2-1 Hirosawa, Wako, Yokohama, Saitama, 351-0198, Japan.,Laboratory for Advanced Genomics Circuit, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi, Yokohama, Kanagawa, 230-0045, Japan
| | - Hideya Kawaji
- Preventive Medicine and Applied Genomics Unit, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi, Yokohama, Kanagawa, 230-0045, Japan. .,RIKEN Preventive Medicine and Diagnosis Innovation Program, 2-1 Hirosawa, Wako, Yokohama, Saitama, 351-0198, Japan. .,Research Center for Genome & Medical Sciences, Tokyo Metropolitan Institute of Medical Science, 2-1-6 Kamikitazawa, Setagaya-ku, Tokyo, 156-8506, Japan.
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40
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Mc Cartney AM, Mahmoud M, Jochum M, Agustinho DP, Zorman B, Al Khleifat A, Dabbaghie F, K Kesharwani R, Smolka M, Dawood M, Albin D, Aliyev E, Almabrazi H, Arslan A, Balaji A, Behera S, Billingsley K, L Cameron D, Daw J, T. Dawson E, De Coster W, Du H, Dunn C, Esteban R, Jolly A, Kalra D, Liao C, Liu Y, Lu TY, M Havrilla J, M Khayat M, Marin M, Monlong J, Price S, Rafael Gener A, Ren J, Sagayaradj S, Sapoval N, Sinner C, C. Soto D, Soylev A, Subramaniyan A, Syed N, Tadimeti N, Tater P, Vats P, Vaughn J, Walker K, Wang G, Zeng Q, Zhang S, Zhao T, Kille B, Biederstedt E, Chaisson M, English A, Kronenberg Z, J. Treangen T, Hefferon T, Chin CS, Busby B, J Sedlazeck F. An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates. F1000Res 2021; 10:246. [PMID: 34621504 PMCID: PMC8479851 DOI: 10.12688/f1000research.51477.2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/23/2021] [Indexed: 11/20/2022] Open
Abstract
In October 2020, 62 scientists from nine nations worked together remotely in the Second Baylor College of Medicine & DNAnexus hackathon, focusing on different related topics on Structural Variation, Pan-genomes, and SARS-CoV-2 related research. The overarching focus was to assess the current status of the field and identify the remaining challenges. Furthermore, how to combine the strengths of the different interests to drive research and method development forward. Over the four days, eight groups each designed and developed new open-source methods to improve the identification and analysis of variations among species, including humans and SARS-CoV-2. These included improvements in SV calling, genotyping, annotations and filtering. Together with advancements in benchmarking existing methods. Furthermore, groups focused on the diversity of SARS-CoV-2. Daily discussion summary and methods are available publicly at https://github.com/collaborativebioinformatics provides valuable insights for both participants and the research community.
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Affiliation(s)
| | | | | | | | | | | | - Fawaz Dabbaghie
- Institute for Medical Biometry and Bioinformatics, Düsseldorf, Germany
| | | | | | | | | | | | | | - Ahmed Arslan
- Stanford University School of Medicine, California, USA
| | | | | | | | - Daniel L Cameron
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
| | - Joyjit Daw
- NVIDIA Corporation, Santa Clara, California, USA
| | | | | | - Haowei Du
- Baylor College of Medicine, Houston, USA
| | | | | | | | | | | | | | | | | | | | | | - Jean Monlong
- UC Santa Cruz Genomics Institute, Santa Cruz, USA
| | | | | | | | | | | | | | | | - Arda Soylev
- Konya Food and Agriculture University, Konya, Turkey
| | | | | | | | | | - Pankaj Vats
- NVIDIA Corporation, Santa Clara, California, USA
| | | | | | | | - Qiandong Zeng
- Laboratory Corporation of America Holdings, Westborough, USA
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41
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Mc Cartney AM, Mahmoud M, Jochum M, Agustinho DP, Zorman B, Al Khleifat A, Dabbaghie F, K Kesharwani R, Smolka M, Dawood M, Albin D, Aliyev E, Almabrazi H, Arslan A, Balaji A, Behera S, Billingsley K, L Cameron D, Daw J, T. Dawson E, De Coster W, Du H, Dunn C, Esteban R, Jolly A, Kalra D, Liao C, Liu Y, Lu TY, M Havrilla J, M Khayat M, Marin M, Monlong J, Price S, Rafael Gener A, Ren J, Sagayaradj S, Sapoval N, Sinner C, C. Soto D, Soylev A, Subramaniyan A, Syed N, Tadimeti N, Tater P, Vats P, Vaughn J, Walker K, Wang G, Zeng Q, Zhang S, Zhao T, Kille B, Biederstedt E, Chaisson M, English A, Kronenberg Z, J. Treangen T, Hefferon T, Chin CS, Busby B, J Sedlazeck F. An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates. F1000Res 2021; 10:246. [PMID: 34621504 PMCID: PMC8479851 DOI: 10.12688/f1000research.51477.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/04/2021] [Indexed: 11/08/2023] Open
Abstract
In October 2020, 62 scientists from nine nations worked together remotely in the Second Baylor College of Medicine & DNAnexus hackathon, focusing on different related topics on Structural Variation, Pan-genomes, and SARS-CoV-2 related research. The overarching focus was to assess the current status of the field and identify the remaining challenges. Furthermore, how to combine the strengths of the different interests to drive research and method development forward. Over the four days, eight groups each designed and developed new open-source methods to improve the identification and analysis of variations among species, including humans and SARS-CoV-2. These included improvements in SV calling, genotyping, annotations and filtering. Together with advancements in benchmarking existing methods. Furthermore, groups focused on the diversity of SARS-CoV-2. Daily discussion summary and methods are available publicly at https://github.com/collaborativebioinformatics provides valuable insights for both participants and the research community.
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Affiliation(s)
| | | | | | | | | | | | - Fawaz Dabbaghie
- Institute for Medical Biometry and Bioinformatics, Düsseldorf, Germany
| | | | | | | | | | | | | | - Ahmed Arslan
- Stanford University School of Medicine, California, USA
| | | | | | | | - Daniel L Cameron
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
| | - Joyjit Daw
- NVIDIA Corporation, Santa Clara, California, USA
| | | | | | - Haowei Du
- Baylor College of Medicine, Houston, USA
| | | | | | | | | | | | | | | | | | | | | | - Jean Monlong
- UC Santa Cruz Genomics Institute, Santa Cruz, USA
| | | | | | | | | | | | | | | | - Arda Soylev
- Konya Food and Agriculture University, Konya, Turkey
| | | | | | | | | | - Pankaj Vats
- NVIDIA Corporation, Santa Clara, California, USA
| | | | | | | | - Qiandong Zeng
- Laboratory Corporation of America Holdings, Westborough, USA
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42
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Sun X, Song L, Yang W, Zhang L, Liu M, Li X, Tian G, Wang W. Nanopore Sequencing and Its Clinical Applications. Methods Mol Biol 2021; 2204:13-32. [PMID: 32710311 DOI: 10.1007/978-1-0716-0904-0_2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Nanopore sequencing is a method for determining the order and modifications of DNA/RNA nucleotides by detecting the electric current variations when DNA/RNA oligonucleotides pass through the nanometer-sized hole (nanopore). Nanopore-based DNA analysis techniques have been commercialized by Oxford Nanopore Technologies, NabSys, and Sequenom, and widely used in scientific researches recently including human genomics, cancer, metagenomics, plant sciences, etc., moreover, it also has potential applications in the field of healthcare due to its fast turn-around time, portable and real-time data analysis. Those features make it a promising technology for the point-of-care testing (POCT) and its potential clinical applications are briefly discussed in this chapter.
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Affiliation(s)
- Xue Sun
- Geneis (Beijing) Co., Ltd., Beijing, People's Republic of China
| | - Lei Song
- Geneis (Beijing) Co., Ltd., Beijing, People's Republic of China
| | - Wenjuan Yang
- Geneis (Beijing) Co., Ltd., Beijing, People's Republic of China
| | - Lili Zhang
- Geneis (Beijing) Co., Ltd., Beijing, People's Republic of China
| | - Meng Liu
- Geneis (Beijing) Co., Ltd., Beijing, People's Republic of China
| | - Xiaoshuang Li
- Geneis (Beijing) Co., Ltd., Beijing, People's Republic of China
| | - Geng Tian
- Geneis (Beijing) Co., Ltd., Beijing, People's Republic of China
| | - Weiwei Wang
- Geneis (Beijing) Co., Ltd., Beijing, People's Republic of China.
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43
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Keller L, Belloum Y, Wikman H, Pantel K. Clinical relevance of blood-based ctDNA analysis: mutation detection and beyond. Br J Cancer 2021; 124:345-358. [PMID: 32968207 PMCID: PMC7852556 DOI: 10.1038/s41416-020-01047-5] [Citation(s) in RCA: 216] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 06/22/2020] [Accepted: 08/19/2020] [Indexed: 12/13/2022] Open
Abstract
Cell-free DNA (cfDNA) derived from tumours is present in the plasma of cancer patients. The majority of currently available studies on the use of this circulating tumour DNA (ctDNA) deal with the detection of mutations. The analysis of cfDNA is often discussed in the context of the noninvasive detection of mutations that lead to resistance mechanisms and therapeutic and disease monitoring in cancer patients. Indeed, substantial advances have been made in this area, with the development of methods that reach high sensitivity and can interrogate a large number of genes. Interestingly, however, cfDNA can also be used to analyse different features of DNA, such as methylation status, size fragment patterns, transcriptomics and viral load, which open new avenues for the analysis of liquid biopsy samples from cancer patients. This review will focus on the new perspectives and challenges of cfDNA analysis from mutation detection in patients with solid malignancies.
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Affiliation(s)
- Laura Keller
- University Medical Center Hamburg-Eppendorf, Institute of Tumor Biology, Martinistrasse 52, Building N27, 20246, Hamburg, Germany
| | - Yassine Belloum
- University Medical Center Hamburg-Eppendorf, Institute of Tumor Biology, Martinistrasse 52, Building N27, 20246, Hamburg, Germany
| | - Harriet Wikman
- University Medical Center Hamburg-Eppendorf, Institute of Tumor Biology, Martinistrasse 52, Building N27, 20246, Hamburg, Germany
| | - Klaus Pantel
- University Medical Center Hamburg-Eppendorf, Institute of Tumor Biology, Martinistrasse 52, Building N27, 20246, Hamburg, Germany.
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44
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Lamb HJ, Hayes BJ, Nguyen LT, Ross EM. The Future of Livestock Management: A Review of Real-Time Portable Sequencing Applied to Livestock. Genes (Basel) 2020; 11:E1478. [PMID: 33317066 PMCID: PMC7763041 DOI: 10.3390/genes11121478] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 11/10/2020] [Accepted: 12/01/2020] [Indexed: 12/12/2022] Open
Abstract
Oxford Nanopore Technologies' MinION has proven to be a valuable tool within human and microbial genetics. Its capacity to produce long reads in real time has opened up unique applications for portable sequencing. Examples include tracking the recent African swine fever outbreak in China and providing a diagnostic tool for disease in the cassava plant in Eastern Africa. Here we review the current applications of Oxford Nanopore sequencing in livestock, then focus on proposed applications in livestock agriculture for rapid diagnostics, base modification detection, reference genome assembly and genomic prediction. In particular, we propose a future application: 'crush-side genotyping' for real-time on-farm genotyping for extensive industries such as northern Australian beef production. An initial in silico experiment to assess the feasibility of crush-side genotyping demonstrated promising results. SNPs were called from simulated Nanopore data, that included the relatively high base call error rate that is characteristic of the data, and calling parameters were varied to understand the feasibility of SNP calling at low coverages in a heterozygous population. With optimised genotype calling parameters, over 85% of the 10,000 simulated SNPs were able to be correctly called with coverages as low as 6×. These results provide preliminary evidence that Oxford Nanopore sequencing has potential to be used for real-time SNP genotyping in extensive livestock operations.
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Affiliation(s)
- Harrison J. Lamb
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD 4067, Australia; (B.J.H.); (L.T.N.); (E.M.R.)
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45
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Fatima N, Petri A, Gyllensten U, Feuk L, Ameur A. Evaluation of Single-Molecule Sequencing Technologies for Structural Variant Detection in Two Swedish Human Genomes. Genes (Basel) 2020; 11:E1444. [PMID: 33266238 PMCID: PMC7760597 DOI: 10.3390/genes11121444] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 11/24/2020] [Accepted: 11/26/2020] [Indexed: 01/23/2023] Open
Abstract
Long-read single molecule sequencing is increasingly used in human genomics research, as it allows to accurately detect large-scale DNA rearrangements such as structural variations (SVs) at high resolution. However, few studies have evaluated the performance of different single molecule sequencing platforms for SV detection in human samples. Here we performed Oxford Nanopore Technologies (ONT) whole-genome sequencing of two Swedish human samples (average 32× coverage) and compared the results to previously generated Pacific Biosciences (PacBio) data for the same individuals (average 66× coverage). Our analysis inferred an average of 17k and 23k SVs from the ONT and PacBio data, respectively, with a majority of them overlapping with an available multi-platform SV dataset. When comparing the SV calls in the two Swedish individuals, we find a higher concordance between ONT and PacBio SVs detected in the same individual as compared to SVs detected by the same technology in different individuals. Downsampling of PacBio reads, performed to obtain similar coverage levels for all datasets, resulted in 17k SVs per individual and improved overlap with the ONT SVs. Our results suggest that ONT and PacBio have a similar performance for SV detection in human whole genome sequencing data, and that both technologies are feasible for population-scale studies.
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Affiliation(s)
- Nazeefa Fatima
- Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, 752 36 Uppsala, Sweden; (N.F.); (A.P.); (U.G.); (L.F.)
| | - Anna Petri
- Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, 752 36 Uppsala, Sweden; (N.F.); (A.P.); (U.G.); (L.F.)
| | - Ulf Gyllensten
- Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, 752 36 Uppsala, Sweden; (N.F.); (A.P.); (U.G.); (L.F.)
| | - Lars Feuk
- Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, 752 36 Uppsala, Sweden; (N.F.); (A.P.); (U.G.); (L.F.)
| | - Adam Ameur
- Science for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, 752 36 Uppsala, Sweden; (N.F.); (A.P.); (U.G.); (L.F.)
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Clayton, VIC 3800, Australia
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46
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Lecompte L, Peterlongo P, Lavenier D, Lemaitre C. SVJedi: genotyping structural variations with long reads. Bioinformatics 2020; 36:4568-4575. [PMID: 32437523 DOI: 10.1093/bioinformatics/btaa527] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 03/27/2020] [Accepted: 05/18/2020] [Indexed: 12/19/2022] Open
Abstract
MOTIVATION Studies on structural variants (SVs) are expanding rapidly. As a result, and thanks to third generation sequencing technologies, the number of discovered SVs is increasing, especially in the human genome. At the same time, for several applications such as clinical diagnoses, it is important to genotype newly sequenced individuals on well-defined and characterized SVs. Whereas several SV genotypers have been developed for short read data, there is a lack of such dedicated tool to assess whether known SVs are present or not in a new long read sequenced sample, such as the one produced by Pacific Biosciences or Oxford Nanopore Technologies. RESULTS We present a novel method to genotype known SVs from long read sequencing data. The method is based on the generation of a set of representative allele sequences that represent the two alleles of each structural variant. Long reads are aligned to these allele sequences. Alignments are then analyzed and filtered out to keep only informative ones, to quantify and estimate the presence of each SV allele and the allele frequencies. We provide an implementation of the method, SVJedi, to genotype SVs with long reads. The tool has been applied to both simulated and real human datasets and achieves high genotyping accuracy. We show that SVJedi obtains better performances than other existing long read genotyping tools and we also demonstrate that SV genotyping is considerably improved with SVJedi compared to other approaches, namely SV discovery and short read SV genotyping approaches. AVAILABILITY AND IMPLEMENTATION https://github.com/llecompte/SVJedi.git. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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47
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Sakamoto Y, Xu L, Seki M, Yokoyama TT, Kasahara M, Kashima Y, Ohashi A, Shimada Y, Motoi N, Tsuchihara K, Kobayashi SS, Kohno T, Shiraishi Y, Suzuki A, Suzuki Y. Long-read sequencing for non-small-cell lung cancer genomes. Genome Res 2020; 30:1243-1257. [PMID: 32887687 PMCID: PMC7545141 DOI: 10.1101/gr.261941.120] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 04/09/2020] [Indexed: 12/23/2022]
Abstract
Here, we report the application of a long-read sequencer, PromethION, for analyzing human cancer genomes. We first conducted whole-genome sequencing on lung cancer cell lines. We found that it is possible to genotype known cancerous mutations, such as point mutations. We also found that long-read sequencing is particularly useful for precisely identifying and characterizing structural aberrations, such as large deletions, gene fusions, and other chromosomal rearrangements. In addition, we identified several medium-sized structural aberrations consisting of complex combinations of local duplications, inversions, and microdeletions. These complex mutations occurred even in key cancer-related genes, such as STK11, NF1, SMARCA4, and PTEN. The biological relevance of those mutations was further revealed by epigenome, transcriptome, and protein analyses of the affected signaling pathways. Such structural aberrations were also found in clinical lung adenocarcinoma specimens. Those structural aberrations were unlikely to be reliably detected by conventional short-read sequencing. Therefore, long-read sequencing may contribute to understanding the molecular etiology of patients for whom causative cancerous mutations remain unknown and therapeutic strategies are elusive.
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Affiliation(s)
- Yoshitaka Sakamoto
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Liu Xu
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Masahide Seki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Toshiyuki T Yokoyama
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Masahiro Kasahara
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Yukie Kashima
- Division of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan.,Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Akihiro Ohashi
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Yoko Shimada
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Noriko Motoi
- Department of Pathology, National Cancer Center Hospital, Tokyo 104-0045, Japan
| | - Katsuya Tsuchihara
- Division of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Susumu S Kobayashi
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Yuichi Shiraishi
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Ayako Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan.,Division of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
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48
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Compton A, Sharakhov IV, Tu Z. Recent advances and future perspectives in vector-omics. CURRENT OPINION IN INSECT SCIENCE 2020; 40:94-103. [PMID: 32650287 PMCID: PMC8041138 DOI: 10.1016/j.cois.2020.05.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 05/07/2020] [Accepted: 05/18/2020] [Indexed: 06/11/2023]
Abstract
We have reviewed recent progress and the remaining challenges in vector-omics. We have highlighted several technologies and applications that facilitate novel biological insights beyond achieving a reference-quality genome assembly. Among other topics, we have discussed the applications of chromatin conformation capture, chromatin accessibility assays, optical mapping, full-length RNA sequencing, single cell RNA analysis, proteomics, and population genomics. We anticipate that we will witness a great expansion in vector-omics research not only in its application in a broad range of species, but also its ability to uncover novel genetic elements and tackle previously inaccessible regions of the genome. It is our hope that the continued innovation in device portability, cost reduction, and informatics support will in the foreseeable future bring vector-omics to every vector laboratory and field station in the world, which will have an unparalleled impact on basic research and the control of vector-borne infectious diseases.
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Affiliation(s)
- Austin Compton
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, United States; Fralin Life Science Institute, Virginia Tech, Blacksburg, VA 24061, United States
| | - Igor V Sharakhov
- Fralin Life Science Institute, Virginia Tech, Blacksburg, VA 24061, United States; Department of Entomology, Virginia Tech, Blacksburg, VA 24061, United States; The Interdisciplinary PhD Program in Genetics, Bioinformatics, and Computational Biology, Virginia Tech, Blacksburg, VA 24061, United States; Department of Genetics and Cell Biology, Tomsk State University, Tomsk 634050, Russia
| | - Zhijian Tu
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, United States; Department of Entomology, Virginia Tech, Blacksburg, VA 24061, United States; The Interdisciplinary PhD Program in Genetics, Bioinformatics, and Computational Biology, Virginia Tech, Blacksburg, VA 24061, United States.
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49
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Miyamoto S, Aoto K, Hiraide T, Nakashima M, Takabayashi S, Saitsu H. Nanopore sequencing reveals a structural alteration of mirror-image duplicated genes in a genome-editing mouse line. Congenit Anom (Kyoto) 2020; 60:120-125. [PMID: 31837184 DOI: 10.1111/cga.12364] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 11/22/2019] [Accepted: 12/08/2019] [Indexed: 02/04/2023]
Abstract
CRISPR-Cas9 technology has been used in various studies; however, it has also been found to introduce unexpected structural alternations. In this study, we used nanopore sequencing to characterize an unexpected structural alteration of mirror-image duplicated genes in a mouse line, in which we aimed to delete a part of the duplicated genes using genome editing. We removed low-molecular-weight DNA fragments and increased the input, which led to improved sequence performance. With 14.9 Gb input for whole-genome analysis, we detected a complex structural alteration involving inversion and deletion, which appears to be difficult to characterize with short-read sequencers. Therefore, our study clearly showed the utility of nanopore sequencing for characterizing unexpected complex structural alterations caused by genome editing.
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Affiliation(s)
- Sachiko Miyamoto
- Department of Biochemistry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Kazushi Aoto
- Department of Biochemistry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Takuya Hiraide
- Department of Biochemistry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Mitsuko Nakashima
- Department of Biochemistry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Shuji Takabayashi
- Laboratory Animal Facilities & Services, Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Hirotomo Saitsu
- Department of Biochemistry, Hamamatsu University School of Medicine, Hamamatsu, Japan
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50
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Host genotype and exercise exhibit species-level selection for members of the gut bacterial communities in the mouse digestive system. Sci Rep 2020; 10:8984. [PMID: 32488198 PMCID: PMC7265280 DOI: 10.1038/s41598-020-65740-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 05/07/2020] [Indexed: 12/18/2022] Open
Abstract
The mammalian gut microbiome can potentially impact host health and disease state. It is known that the mouse-genome, eating-behavior, and exercise-status promotes higher taxonomic rank-level alterations (e.g. family to phyla-level) of the gut microbiota. Here, host genotype or activity status was investigated to determine if selection of individual bacterial species or strains could be discerned within the murine digestive system. For this study, the fecal bacterial community of adenylyl cyclase 5 knock-out (AC5KO, n = 7) mice or their wild-type (WT, n = 10) littermates under exercise or sedentary conditions were profiled by sequencing rRNA operons. AC5KO mice were chosen since this genotype displays enhanced longevity/exercise capacity and protects against cardiovascular/metabolic disease. Profiling of rRNA operons using the Oxford MinION yielded 65,706 2-D sequences (after size selection of 3.7-5.7 kb) which were screened against an NCBI 16S rRNA gene database. These sequences were binned into 1,566 different best BLAST hits (BBHs) and counted for each mouse sample. Non-metric multidimensional scaling (NMDS) of the gut microbial community demonstrated clustering by physical activity (p = 0.001) but not by host genotype. Additionally, sequence similarity and phylogenetic analysis demonstrated that different bacterial species (closely related to Muribaculum intestinale and Parasutterella excrementihominis) inhabit AC5KO or WT mice depending on activity status. Other bacterial species of the gut microbiota did not follow such patterning (e.g. Turicibacter sanguinis and Turicimonas muris). Our results support the need of improved taxonomic resolution for better characterization of bacterial communities to deepen our understanding of the role of the gut microbiome on host health.
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