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Samarakoon H, Liyanage K, Ferguson JM, Parameswaran S, Gamaarachchi H, Deveson IW. Interactive visualization of nanopore sequencing signal data with Squigualiser. Bioinformatics 2024; 40:btae501. [PMID: 39137136 PMCID: PMC11335371 DOI: 10.1093/bioinformatics/btae501] [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: 03/05/2024] [Revised: 07/03/2024] [Accepted: 08/11/2024] [Indexed: 08/15/2024] Open
Abstract
MOTIVATION Nanopore sequencing current signal data can be 'basecalled' into sequence information or analysed directly, with the capacity to identify diverse molecular features, such as DNA/RNA base modifications and secondary structures. However, raw signal data is large and complex, and there is a need for improved visualization strategies to facilitate signal analysis, exploration and tool development. RESULTS Squigualiser (Squiggle visualiser) is a toolkit for intuitive, interactive visualization of sequence-aligned signal data, which currently supports both DNA and RNA sequencing data from Oxford Nanopore Technologies instruments. Squigualiser is compatible with a wide range of alternative signal-alignment software packages and enables visualization of both signal-to-read and signal-to-reference aligned data at single-base resolution. Squigualiser generates an interactive signal browser view (HTML file), in which the user can navigate across a genome/transcriptome region and customize the display. Multiple independent reads are integrated into a 'signal pileup' format and different datasets can be displayed as parallel tracks. Although other methods exist, Squigualiser provides the community with a software package purpose-built for raw signal data visualization, incorporating a range of new and existing features into a unified platform. AVAILABILITY AND IMPLEMENTATION Squigualiser is an open-source package under an MIT licence: https://github.com/hiruna72/squigualiser. The software was developed using Python 3.8 and can be installed with pip or bioconda or executed directly using prebuilt binaries provided with each release.
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Affiliation(s)
- Hiruna Samarakoon
- School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children’s Research Institute, Sydney, NSW 2010, Australia
| | - Kisaru Liyanage
- School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children’s Research Institute, Sydney, NSW 2010, Australia
| | - James M Ferguson
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children’s Research Institute, Sydney, NSW 2010, Australia
| | - Sri Parameswaran
- School of Electrical and Information Engineering, University of Sydney, Sydney, NSW 2008, Australia
| | - Hasindu Gamaarachchi
- School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children’s Research Institute, Sydney, NSW 2010, Australia
| | - Ira W Deveson
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children’s Research Institute, Sydney, NSW 2010, Australia
- St Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia
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Dyshlovoy SA, Paigin S, Afflerbach AK, Lobermeyer A, Werner S, Schüller U, Bokemeyer C, Schuh AH, Bergmann L, von Amsberg G, Joosse SA. Applications of Nanopore sequencing in precision cancer medicine. Int J Cancer 2024. [PMID: 39031959 DOI: 10.1002/ijc.35100] [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: 03/09/2024] [Revised: 04/25/2024] [Accepted: 06/25/2024] [Indexed: 07/22/2024]
Abstract
Oxford Nanopore Technologies sequencing, also referred to as Nanopore sequencing, stands at the forefront of a revolution in clinical genetics, offering the potential for rapid, long read, and real-time DNA and RNA sequencing. This technology is currently making sequencing more accessible and affordable. In this comprehensive review, we explore its potential regarding precision cancer diagnostics and treatment. We encompass a critical analysis of clinical cases where Nanopore sequencing was successfully applied to identify point mutations, splice variants, gene fusions, epigenetic modifications, non-coding RNAs, and other pivotal biomarkers that defined subsequent treatment strategies. Additionally, we address the challenges of clinical applications of Nanopore sequencing and discuss the current efforts to overcome them.
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Affiliation(s)
- Sergey A Dyshlovoy
- Department of Oncology, Oxford Molecular Diagnostics Centre, University of Oxford, Level 4, John Radcliffe Hospital, Oxford, UK
- Department of Oncology, Hematology and Bone Marrow Transplantation with Section Pneumology, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefanie Paigin
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Pathology and Neuropathology, University Hospital Tübingen, Tübingen, Germany
| | - Ann-Kristin Afflerbach
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Annabelle Lobermeyer
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Werner
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Schüller
- Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
- Institute for Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Paediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Carsten Bokemeyer
- Department of Oncology, Hematology and Bone Marrow Transplantation with Section Pneumology, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anna H Schuh
- Department of Oncology, Oxford Molecular Diagnostics Centre, University of Oxford, Level 4, John Radcliffe Hospital, Oxford, UK
| | - Lina Bergmann
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gunhild von Amsberg
- Department of Oncology, Hematology and Bone Marrow Transplantation with Section Pneumology, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Martini-Klinik, Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Simon A Joosse
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Mildred Scheel Cancer Career Center HaTriCS4, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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3
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Zhao Q, Yang S, Hao S, Chen Z, Tang L, Wu Z, Wu J, Xu M, Ma Z, Zhou L, Xu J, Qin Q. Identification of transcriptionally-active human papillomavirus integrants through nanopore sequencing reveals viable targets for gene therapy against cervical cancer. J Med Virol 2024; 96:e29769. [PMID: 38932482 DOI: 10.1002/jmv.29769] [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: 04/09/2024] [Revised: 06/13/2024] [Accepted: 06/14/2024] [Indexed: 06/28/2024]
Abstract
Integration of the human papillomavirus (HPV) genome into the cellular genome is a key event that leads to constitutive expression of viral oncoprotein E6/E7 and drives the progression of cervical cancer. However, HPV integration patterns differ on a case-by-case basis among related malignancies. Next-generation sequencing technologies still face challenges for interrogating HPV integration sites. In this study, utilizing Nanopore long-read sequencing, we identified 452 and 108 potential integration sites from the cervical cancer cell lines (CaSki and HeLa) and five tissue samples, respectively. Based on long Nanopore chimeric reads, we were able to analyze the methylation status of the HPV long control region (LCR), which controls oncogene E6/E7 expression, and to identify transcriptionally-active integrants among the numerous integrants. As a proof of concept, we identified an active HPV integrant in between RUNX2 and CLIC5 on chromosome 6 in the CaSki cell line, which was supported by ATAC-seq, H3K27Ac ChIP-seq, and RNA-seq analysis. Knockout of the active HPV integrant, by the CRISPR/Cas9 system, dramatically crippled cell proliferation and induced cell senescence. In conclusion, identifying transcriptionally-active HPV integrants with Nanopore sequencing can provide viable targets for gene therapy against HPV-associated cancers.
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Affiliation(s)
- Qianqian Zhao
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
- Computational Systems Biology Laboratory, Department of Bioinformatics, Shantou University Medical College, Shantou, China
| | - Shuaibing Yang
- Laboratory of Human Virology and Oncology, Shantou University Medical College, Shantou, China
| | - Shijia Hao
- Laboratory of Human Virology and Oncology, Shantou University Medical College, Shantou, China
| | - Zejia Chen
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Lihua Tang
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Zhaoting Wu
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Jiaxin Wu
- Laboratory of Human Virology and Oncology, Shantou University Medical College, Shantou, China
| | - Mingqian Xu
- Laboratory of Human Virology and Oncology, Shantou University Medical College, Shantou, China
| | - Zebiao Ma
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Li Zhou
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Jianzhen Xu
- Computational Systems Biology Laboratory, Department of Bioinformatics, Shantou University Medical College, Shantou, China
| | - Qingsong Qin
- Department of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Human Virology and Oncology, Shantou University Medical College, Shantou, China
- International Science and Technology Collaboration Center for Emerging Infectious Diseases, Shantou University Medical College, Shantou, China
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4
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Szakállas N, Barták BK, Valcz G, Nagy ZB, Takács I, Molnár B. Can long-read sequencing tackle the barriers, which the next-generation could not? A review. Pathol Oncol Res 2024; 30:1611676. [PMID: 38818014 PMCID: PMC11137202 DOI: 10.3389/pore.2024.1611676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 04/30/2024] [Indexed: 06/01/2024]
Abstract
The large-scale heterogeneity of genetic diseases necessitated the deeper examination of nucleotide sequence alterations enhancing the discovery of new targeted drug attack points. The appearance of new sequencing techniques was essential to get more interpretable genomic data. In contrast to the previous short-reads, longer lengths can provide a better insight into the potential health threatening genetic abnormalities. Long-reads offer more accurate variant identification and genome assembly methods, indicating advances in nucleotide deflect-related studies. In this review, we introduce the historical background of sequencing technologies and show their benefits and limits, as well. Furthermore, we highlight the differences between short- and long-read approaches, including their unique advances and difficulties in methodologies and evaluation. Additionally, we provide a detailed description of the corresponding bioinformatics and the current applications.
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Affiliation(s)
- Nikolett Szakállas
- Department of Biological Physics, Faculty of Science, Eötvös Loránd University, Budapest, Hungary
| | - Barbara K. Barták
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Gábor Valcz
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- HUN-REN-SU Translational Extracellular Vesicle Research Group, Budapest, Hungary
| | - Zsófia B. Nagy
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - István Takács
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Béla Molnár
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
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Luo Y, Zhang J, Ni M, Mei Z, Ye Q, Guo B, Fang L, Feng D, Wang L, Yan J, Wang G. Pilot validation of on-field STR typing and human identity testing by MinION nanopore sequencing. Electrophoresis 2024; 45:885-896. [PMID: 38356010 DOI: 10.1002/elps.202300234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/19/2024] [Accepted: 01/24/2024] [Indexed: 02/16/2024]
Abstract
Nanopore sequencing technology has broad application prospects in forensic medicine due to its small size, portability, fast speed, real-time result analysis capabilities, single-molecule sequencing abilities, and simple operation. Here, we demonstrate for the first time that nanopore sequencing platforms can be used to identify individuals in the field. Through scientific and reasonable design, a nanopore MinION MK1B device and other auxiliary devices are integrated into a portable detection box conducive to individual identification at the accident site. Individual identification of 12 samples could be completed within approximately 24 h by jointly detecting 23 short tandem repeat (STR) loci. Through double-blinded experiments, the genotypes of 49 samples were successfully determined, and the accuracy of the STR genotyping was verified by the gold standard. Specifically, the typing success rate for 1150 genotypes was 95.3%, and the accuracy rate was 86.87%. Although this study focused primarily on demonstrating the feasibility of full-process testing, it can be optimistically predicted that further improvements in bioinformatics workflows and nanopore sequencing technology will help enhance the feasibility of Oxford Nanopore Technologies equipment for real-time individual identification at accident sites.
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Affiliation(s)
- Yuan Luo
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Jiarong Zhang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, Shanxi, P. R. China
| | - Ming Ni
- Institute of Health Service and Transfusion Medicine, Beijing, P. R. China
| | - Zhusong Mei
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Qiao Ye
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Bingqian Guo
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Longmei Fang
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Dongyun Feng
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Lu Wang
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, P. R. China
- Shanxi Key Laboratory of Forensic Medicine, Jinzhong, Shanxi, P. R. China
| | - Guangyun Wang
- Laboratory of Clinical Medicine, Air Force Medical Center, Air Force Medical University, PLA, Beijing, P. R. China
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6
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Grasso L, Fonzino A, Manzari C, Leonardi T, Picardi E, Gissi C, Lazzaro F, Pesole G, Muzi-Falconi M. Detection of ribonucleotides embedded in DNA by Nanopore sequencing. Commun Biol 2024; 7:491. [PMID: 38654143 DOI: 10.1038/s42003-024-06077-w] [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: 03/13/2023] [Accepted: 03/20/2024] [Indexed: 04/25/2024] Open
Abstract
Ribonucleotides represent the most common non-canonical nucleotides found in eukaryotic genomes. The sources of chromosome-embedded ribonucleotides and the mechanisms by which unrepaired rNMPs trigger genome instability and human pathologies are not fully understood. The available sequencing technologies only allow to indirectly deduce the genomic location of rNMPs. Oxford Nanopore Technologies (ONT) may overcome such limitation, revealing the sites of rNMPs incorporation in genomic DNA directly from raw sequencing signals. We synthesized two types of DNA molecules containing rNMPs at known or random positions and we developed data analysis pipelines for DNA-embedded ribonucleotides detection by ONT. We report that ONT can identify all four ribonucleotides incorporated in DNA by capturing rNMPs-specific alterations in nucleotide alignment features, current intensity, and dwell time. We propose that ONT may be successfully employed to directly map rNMPs in genomic DNA and we suggest a strategy to build an ad hoc basecaller to analyse native genomes.
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Affiliation(s)
- Lavinia Grasso
- Dipartimento di Bioscienze, Università degli Studi di Milano, Via Celoria 26, 20133, Milano, Italy
| | - Adriano Fonzino
- Dipartimento di Bioscienze, Biotecnologie e Ambiente, Università di Bari A. Moro, Via Orabona 4, 70126, Bari, Italy
| | - Caterina Manzari
- Dipartimento di Bioscienze, Biotecnologie e Ambiente, Università di Bari A. Moro, Via Orabona 4, 70126, Bari, Italy
| | - Tommaso Leonardi
- Center for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia, Via Adamello 16, 20139, Milano, Italy
| | - Ernesto Picardi
- Dipartimento di Bioscienze, Biotecnologie e Ambiente, Università di Bari A. Moro, Via Orabona 4, 70126, Bari, Italy
- Istituto di Biomembrane, Bioenergetica e Biotecnologie Molecolari, Consiglio Nazionale delle Ricerche, Via Amendola 122/O, 70126, Bari, Italy
| | - Carmela Gissi
- Dipartimento di Bioscienze, Biotecnologie e Ambiente, Università di Bari A. Moro, Via Orabona 4, 70126, Bari, Italy
- Istituto di Biomembrane, Bioenergetica e Biotecnologie Molecolari, Consiglio Nazionale delle Ricerche, Via Amendola 122/O, 70126, Bari, Italy
| | - Federico Lazzaro
- Dipartimento di Bioscienze, Università degli Studi di Milano, Via Celoria 26, 20133, Milano, Italy.
| | - Graziano Pesole
- Dipartimento di Bioscienze, Biotecnologie e Ambiente, Università di Bari A. Moro, Via Orabona 4, 70126, Bari, Italy.
- Istituto di Biomembrane, Bioenergetica e Biotecnologie Molecolari, Consiglio Nazionale delle Ricerche, Via Amendola 122/O, 70126, Bari, Italy.
| | - Marco Muzi-Falconi
- Dipartimento di Bioscienze, Università degli Studi di Milano, Via Celoria 26, 20133, Milano, Italy.
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Lee SM. Detecting DNA hydroxymethylation: exploring its role in genome regulation. BMB Rep 2024; 57:135-142. [PMID: 38449301 PMCID: PMC10979348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/15/2024] [Accepted: 02/01/2024] [Indexed: 03/08/2024] Open
Abstract
DNA methylation is one of the most extensively studied epigenetic regulatory mechanisms, known to play crucial roles in various organisms. It has been implicated in the regulation of gene expression and chromatin changes, ranging from global alterations during cell state transitions to locus-specific modifications. 5-hydroxymethylcytosine (5hmC) is produced by a major oxidation, from 5-methylcytosine (5mC), catalyzed by the ten-eleven translocation (TET) enzymes, and is gradually being recognized for its significant role in genome regulation. With the development of state-of-the-art experimental techniques, it has become possible to detect and distinguish 5mC and 5hmC at base resolution. Various techniques have evolved, encompassing chemical and enzymatic approaches, as well as thirdgeneration sequencing techniques. These advancements have paved the way for a thorough exploration of the role of 5hmC across a diverse array of cell types, from embryonic stem cells (ESCs) to various differentiated cells. This review aims to comprehensively report on recent techniques and discuss the emerging roles of 5hmC. [BMB Reports 2024; 57(3): 135-142].
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Affiliation(s)
- Sun-Min Lee
- Department of Physics, Konkuk Univeristy, Seoul 05029, Korea
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8
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Yin C, Wang R, Qiao J, Shi H, Duan H, Jiang X, Teng S, Wei L. NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection. Bioinformatics 2024; 40:btae046. [PMID: 38305428 PMCID: PMC10873575 DOI: 10.1093/bioinformatics/btae046] [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: 02/15/2024] [Revised: 02/15/2024] [Accepted: 01/30/2024] [Indexed: 02/03/2024] Open
Abstract
MOTIVATION 5-Methylcytosine (5mC), a fundamental element of DNA methylation in eukaryotes, plays a vital role in gene expression regulation, embryonic development, and other biological processes. Although several computational methods have been proposed for detecting the base modifications in DNA like 5mC sites from Nanopore sequencing data, they face challenges including sensitivity to noise, and ignoring the imbalanced distribution of methylation sites in real-world scenarios. RESULTS Here, we develop NanoCon, a deep hybrid network coupled with contrastive learning strategy to detect 5mC methylation sites from Nanopore reads. In particular, we adopted a contrastive learning module to alleviate the issues caused by imbalanced data distribution in nanopore sequencing, offering a more accurate and robust detection of 5mC sites. Evaluation results demonstrate that NanoCon outperforms existing methods, highlighting its potential as a valuable tool in genomic sequencing and methylation prediction. In addition, we also verified the effectiveness of our representation learning ability on two datasets by visualizing the dimension reduction of the features of methylation and nonmethylation sites from our NanoCon. Furthermore, cross-species and cross-5mC methylation motifs experiments indicated the robustness and the ability to perform transfer learning of our model. We hope this work can contribute to the community by providing a powerful and reliable solution for 5mC site detection in genomic studies. AVAILABILITY AND IMPLEMENTATION The project code is available at https://github.com/Challis-yin/NanoCon.
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Affiliation(s)
- Chenglin Yin
- School of Software, Shandong University, Jinan, China
- Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China
| | - Ruheng Wang
- School of Software, Shandong University, Jinan, China
- Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China
| | - Jianbo Qiao
- School of Software, Shandong University, Jinan, China
- Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China
| | - Hua Shi
- School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, China
| | - Hongliang Duan
- Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China
| | - Xinbo Jiang
- School of Qilu Transportation, Shandong University, Jinan, China
| | - Saisai Teng
- School of Software, Shandong University, Jinan, China
- Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China
| | - Leyi Wei
- School of Software, Shandong University, Jinan, China
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9
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Zhu C, Hao Z, Liu D. Reshaping the Landscape of the Genome: Toolkits for Precise DNA Methylation Manipulation and Beyond. JACS AU 2024; 4:40-57. [PMID: 38274248 PMCID: PMC10806789 DOI: 10.1021/jacsau.3c00671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 11/26/2023] [Accepted: 12/01/2023] [Indexed: 01/27/2024]
Abstract
DNA methylation plays a pivotal role in various biological processes and is highly related to multiple diseases. The exact functions of DNA methylation are still puzzling due to its uneven distribution, dynamic conversion, and complex interactions with other substances. Current methods such as chemical- and enzyme-based sequencing techniques have enabled us to pinpoint DNA methylation at single-base resolution, which necessitated the manipulation of DNA methylation at comparable resolution to precisely illustrate the correlations and causal relationships between the functions of DNA methylation and its spatiotemporal patterns. Here a perspective on the past, recent process, and future of precise DNA methylation tools is provided. Specifically, genome-wide and site-specific manipulation of DNA methylation methods is discussed, with an emphasis on their principles, limitations, applications, and future developmental directions.
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Affiliation(s)
- Chenyou Zhu
- Engineering
Research Center of Advanced Rare Earth Materials, Ministry of Education,
Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Ziyang Hao
- School
of Pharmaceutical Sciences, Capital Medical
University, Beijing, 100069, PR China
| | - Dongsheng Liu
- Engineering
Research Center of Advanced Rare Earth Materials, Ministry of Education,
Department of Chemistry, Tsinghua University, Beijing 100084, China
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10
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Deng L, Kumar J, Rose R, McIntyre W, Fabris D. Analyzing RNA posttranscriptional modifications to decipher the epitranscriptomic code. MASS SPECTROMETRY REVIEWS 2024; 43:5-38. [PMID: 36052666 DOI: 10.1002/mas.21798] [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: 02/14/2022] [Revised: 05/23/2022] [Accepted: 05/27/2022] [Indexed: 06/15/2023]
Abstract
The discovery of RNA silencing has revealed that non-protein-coding sequences (ncRNAs) can cover essential roles in regulatory networks and their malfunction may result in severe consequences on human health. These findings have prompted a general reassessment of the significance of RNA as a key player in cellular processes. This reassessment, however, will not be complete without a greater understanding of the distribution and function of the over 170 variants of the canonical ribonucleotides, which contribute to the breathtaking structural diversity of natural RNA. This review surveys the analytical approaches employed for the identification, characterization, and detection of RNA posttranscriptional modifications (rPTMs). The merits of analyzing individual units after exhaustive hydrolysis of the initial biopolymer are outlined together with those of identifying their position in the sequence of parent strands. Approaches based on next generation sequencing and mass spectrometry technologies are covered in depth to provide a comprehensive view of their respective merits. Deciphering the epitranscriptomic code will require not only mapping the location of rPTMs in the various classes of RNAs, but also assessing the variations of expression levels under different experimental conditions. The fact that no individual platform is currently capable of meeting all such demands implies that it will be essential to capitalize on complementary approaches to obtain the desired information. For this reason, the review strived to cover the broadest possible range of techniques to provide readers with the fundamental elements necessary to make informed choices and design the most effective possible strategy to accomplish the task at hand.
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Affiliation(s)
- L Deng
- Department of Chemistry, University of Connecticut, Storrs, Connecticut, USA
| | - J Kumar
- Department of Chemistry, University of Connecticut, Storrs, Connecticut, USA
| | - R Rose
- Department of Advanced Research Technologies, New York University Langone Health Center, New York, USA
| | - W McIntyre
- Department of Chemistry, University of Connecticut, Storrs, Connecticut, USA
| | - Daniele Fabris
- Department of Chemistry, University of Connecticut, Storrs, Connecticut, USA
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11
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Chiou CS, Chen BH, Wang YW, Kuo NT, Chang CH, Huang YT. Correcting modification-mediated errors in nanopore sequencing by nucleotide demodification and reference-based correction. Commun Biol 2023; 6:1215. [PMID: 38030695 PMCID: PMC10687267 DOI: 10.1038/s42003-023-05605-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 11/17/2023] [Indexed: 12/01/2023] Open
Abstract
The accuracy of Oxford Nanopore Technology (ONT) sequencing has significantly improved thanks to new flowcells, sequencing kits, and basecalling algorithms. However, novel modification types untrained in the basecalling models can seriously reduce the quality. Here we reports a set of ONT-sequenced genomes with unexpected low quality due to novel modification types. Demodification by whole-genome amplification significantly improved the quality but lost the epigenome. We also developed a reference-based method, Modpolish, for correcting modification-mediated errors while retaining the epigenome when a sufficient number of closely-related genomes is publicly available (default: top 20 genomes with at least 95% identity). Modpolish not only significantly improved the quality of in-house sequenced genomes but also public datasets sequenced by R9.4 and R10.4 (simplex). Our results suggested that novel modifications are prone to ONT systematic errors. Nevertheless, these errors are correctable by nucleotide demodification or Modpolish without prior knowledge of modifications.
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Affiliation(s)
| | - Bo-Han Chen
- Centers for Disease Control, Taichung, Taiwan
| | | | - Nang-Ting Kuo
- Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan
| | - Chih-Hsiang Chang
- Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan
| | - Yao-Ting Huang
- Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan.
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12
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Hartstock K, Kueck NA, Spacek P, Ovcharenko A, Hüwel S, Cornelissen NV, Bollu A, Dieterich C, Rentmeister A. MePMe-seq: antibody-free simultaneous m 6A and m 5C mapping in mRNA by metabolic propargyl labeling and sequencing. Nat Commun 2023; 14:7154. [PMID: 37935679 PMCID: PMC10630376 DOI: 10.1038/s41467-023-42832-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 10/23/2023] [Indexed: 11/09/2023] Open
Abstract
Internal modifications of mRNA have emerged as widespread and versatile regulatory mechanism to control gene expression at the post-transcriptional level. Most of these modifications are methyl groups, making S-adenosyl-L-methionine (SAM) a central metabolic hub. Here we show that metabolic labeling with a clickable metabolic precursor of SAM, propargyl-selenohomocysteine (PSH), enables detection and identification of various methylation sites. Propargylated A, C, and G nucleosides form at detectable amounts via intracellular generation of the corresponding SAM analogue. Integration into next generation sequencing enables mapping of N6-methyladenosine (m6A) and 5-methylcytidine (m5C) sites in mRNA with single nucleotide precision (MePMe-seq). Analysis of the termination profiles can be used to distinguish m6A from 2'-O-methyladenosine (Am) and N1-methyladenosine (m1A) sites. MePMe-seq overcomes the problems of antibodies for enrichment and sequence-motifs for evaluation, which was limiting previous methodologies. Metabolic labeling via clickable SAM facilitates the joint evaluation of methylation sites in RNA and potentially DNA and proteins.
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Affiliation(s)
- Katja Hartstock
- Institute of Biochemistry, Faculty of Chemistry and Pharmacy, University of Münster, Corrensstraße 36, 48149, Münster, Germany
| | - Nadine A Kueck
- Institute of Biochemistry, Faculty of Chemistry and Pharmacy, University of Münster, Corrensstraße 36, 48149, Münster, Germany
| | - Petr Spacek
- Institute of Biochemistry, Faculty of Chemistry and Pharmacy, University of Münster, Corrensstraße 36, 48149, Münster, Germany
| | - Anna Ovcharenko
- Institute of Biochemistry, Faculty of Chemistry and Pharmacy, University of Münster, Corrensstraße 36, 48149, Münster, Germany
| | - Sabine Hüwel
- Institute of Biochemistry, Faculty of Chemistry and Pharmacy, University of Münster, Corrensstraße 36, 48149, Münster, Germany
| | - Nicolas V Cornelissen
- Institute of Biochemistry, Faculty of Chemistry and Pharmacy, University of Münster, Corrensstraße 36, 48149, Münster, Germany
| | - Amarnath Bollu
- Institute of Biochemistry, Faculty of Chemistry and Pharmacy, University of Münster, Corrensstraße 36, 48149, Münster, Germany
| | - Christoph Dieterich
- Section of Bioinformatics and Systems Cardiology, Klaus Tschira Institute for Integrative Computational Cardiology, Heidelberg, Germany
- Department of Internal Medicine III (Cardiology, Angiology, and Pneumology), University Hospital Heidelberg, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Berlin, Germany
| | - Andrea Rentmeister
- Institute of Biochemistry, Faculty of Chemistry and Pharmacy, University of Münster, Corrensstraße 36, 48149, Münster, Germany.
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13
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Shen S, Zhang LS. The regulation of antiviral innate immunity through non-m 6A RNA modifications. Front Immunol 2023; 14:1286820. [PMID: 37915585 PMCID: PMC10616867 DOI: 10.3389/fimmu.2023.1286820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 10/04/2023] [Indexed: 11/03/2023] Open
Abstract
The post-transcriptional RNA modifications impact the dynamic regulation of gene expression in diverse biological and physiological processes. Host RNA modifications play an indispensable role in regulating innate immune responses against virus infection in mammals. Meanwhile, the viral RNAs can be deposited with RNA modifications to interfere with the host immune responses. The N6-methyladenosine (m6A) has boosted the recent emergence of RNA epigenetics, due to its high abundance and a transcriptome-wide widespread distribution in mammalian cells, proven to impact antiviral innate immunity. However, the other types of RNA modifications are also involved in regulating antiviral responses, and the functional roles of these non-m6A RNA modifications have not been comprehensively summarized. In this Review, we conclude the regulatory roles of 2'-O-methylation (Nm), 5-methylcytidine (m5C), adenosine-inosine editing (A-to-I editing), pseudouridine (Ψ), N1-methyladenosine (m1A), N7-methylguanosine (m7G), N6,2'-O-dimethyladenosine (m6Am), and N4-acetylcytidine (ac4C) in antiviral innate immunity. We provide a systematic introduction to the biogenesis and functions of these non-m6A RNA modifications in viral RNA, host RNA, and during virus-host interactions, emphasizing the biological functions of RNA modification regulators in antiviral responses. Furthermore, we discussed the recent research progress in the development of antiviral drugs through non-m6A RNA modifications. Collectively, this Review conveys knowledge and inspiration to researchers in multiple disciplines, highlighting the challenges and future directions in RNA epitranscriptome, immunology, and virology.
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Affiliation(s)
- Shenghai Shen
- Division of Life Science, The Hong Kong University of Science and Technology (HKUST), Kowloon, Hong Kong SAR, China
| | - Li-Sheng Zhang
- Division of Life Science, The Hong Kong University of Science and Technology (HKUST), Kowloon, Hong Kong SAR, China
- Department of Chemistry, The Hong Kong University of Science and Technology (HKUST), Kowloon, Hong Kong SAR, China
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14
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Vermeulen C, Pagès-Gallego M, Kester L, Kranendonk MEG, Wesseling P, Verburg N, de Witt Hamer P, Kooi EJ, Dankmeijer L, van der Lugt J, van Baarsen K, Hoving EW, Tops BBJ, de Ridder J. Ultra-fast deep-learned CNS tumour classification during surgery. Nature 2023; 622:842-849. [PMID: 37821699 PMCID: PMC10600004 DOI: 10.1038/s41586-023-06615-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 09/06/2023] [Indexed: 10/13/2023]
Abstract
Central nervous system tumours represent one of the most lethal cancer types, particularly among children1. Primary treatment includes neurosurgical resection of the tumour, in which a delicate balance must be struck between maximizing the extent of resection and minimizing risk of neurological damage and comorbidity2,3. However, surgeons have limited knowledge of the precise tumour type prior to surgery. Current standard practice relies on preoperative imaging and intraoperative histological analysis, but these are not always conclusive and occasionally wrong. Using rapid nanopore sequencing, a sparse methylation profile can be obtained during surgery4. Here we developed Sturgeon, a patient-agnostic transfer-learned neural network, to enable molecular subclassification of central nervous system tumours based on such sparse profiles. Sturgeon delivered an accurate diagnosis within 40 minutes after starting sequencing in 45 out of 50 retrospectively sequenced samples (abstaining from diagnosis of the other 5 samples). Furthermore, we demonstrated its applicability in real time during 25 surgeries, achieving a diagnostic turnaround time of less than 90 min. Of these, 18 (72%) diagnoses were correct and 7 did not reach the required confidence threshold. We conclude that machine-learned diagnosis based on low-cost intraoperative sequencing can assist neurosurgical decision-making, potentially preventing neurological comorbidity and avoiding additional surgeries.
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Affiliation(s)
- C Vermeulen
- Oncode Institute, Utrecht, The Netherlands
- Center for Molecular Medicine, UMC Utrecht, Utrecht, The Netherlands
| | - M Pagès-Gallego
- Oncode Institute, Utrecht, The Netherlands
- Center for Molecular Medicine, UMC Utrecht, Utrecht, The Netherlands
| | - L Kester
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - M E G Kranendonk
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - P Wesseling
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Department of Pathology, Amsterdam University Medical Centers/VUmc, Amsterdam, The Netherlands
| | - N Verburg
- Department of Neurosurgery, Amsterdam University Medical Centers/VUmc, Amsterdam, The Netherlands
| | - P de Witt Hamer
- Department of Neurosurgery, Amsterdam University Medical Centers/VUmc, Amsterdam, The Netherlands
| | - E J Kooi
- Department of Pathology, Amsterdam University Medical Centers/VUmc, Amsterdam, The Netherlands
| | - L Dankmeijer
- Department of Pathology, Amsterdam University Medical Centers/VUmc, Amsterdam, The Netherlands
- Department of Neurosurgery, Amsterdam University Medical Centers/VUmc, Amsterdam, The Netherlands
| | - J van der Lugt
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - K van Baarsen
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - E W Hoving
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - B B J Tops
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
| | - J de Ridder
- Oncode Institute, Utrecht, The Netherlands.
- Center for Molecular Medicine, UMC Utrecht, Utrecht, The Netherlands.
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15
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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: 18] [Impact Index Per Article: 18.0] [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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16
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Zheng P, Zhou C, Ding Y, Liu B, Lu L, Zhu F, Duan S. Nanopore sequencing technology and its applications. MedComm (Beijing) 2023; 4:e316. [PMID: 37441463 PMCID: PMC10333861 DOI: 10.1002/mco2.316] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 07/15/2023] Open
Abstract
Since the development of Sanger sequencing in 1977, sequencing technology has played a pivotal role in molecular biology research by enabling the interpretation of biological genetic codes. Today, nanopore sequencing is one of the leading third-generation sequencing technologies. With its long reads, portability, and low cost, nanopore sequencing is widely used in various scientific fields including epidemic prevention and control, disease diagnosis, and animal and plant breeding. Despite initial concerns about high error rates, continuous innovation in sequencing platforms and algorithm analysis technology has effectively addressed its accuracy. During the coronavirus disease (COVID-19) pandemic, nanopore sequencing played a critical role in detecting the severe acute respiratory syndrome coronavirus-2 virus genome and containing the pandemic. However, a lack of understanding of this technology may limit its popularization and application. Nanopore sequencing is poised to become the mainstream choice for preventing and controlling COVID-19 and future epidemics while creating value in other fields such as oncology and botany. This work introduces the contributions of nanopore sequencing during the COVID-19 pandemic to promote public understanding and its use in emerging outbreaks worldwide. We discuss its application in microbial detection, cancer genomes, and plant genomes and summarize strategies to improve its accuracy.
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Affiliation(s)
- Peijie Zheng
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Chuntao Zhou
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Yuemin Ding
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
| | - Bin Liu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Liuyi Lu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Feng Zhu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Shiwei Duan
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
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17
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Pyrak E, Kowalczyk A, Weyher JL, Nowicka AM, Kudelski A. Influence of sandwich-type DNA construction strategy and plasmonic metal on signal generated by SERS DNA sensors. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 295:122606. [PMID: 36934597 DOI: 10.1016/j.saa.2023.122606] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/26/2023] [Accepted: 03/06/2023] [Indexed: 06/18/2023]
Abstract
The DNA biosensors are powerful tools in the gene mutation or pathogens detection. That is why there are a lot of DNA detection strategies and methods. Here we present the insight on a slightly overlooked DNA detection technique, surface-enhanced Raman scattering (SERS). The present work is a summary of the influence of the plasmonic metal of the SERS substrate and strategy of the sandwich-type biosensor construction, simply the placement of the Raman reporter and mismatches, on the SERS signal enhancement. We found that, although in general there is an increase in the intensity of the SERS signal when the distance between the Raman scatterer and the SERS-active surface decreases, for this type of DNA SERS sensor a greater intensity of the measured Raman signal is usually observed when the Raman reporter is farther away from the plasmonic substrate. This is probably caused by a significant change in the hybridisation efficiency for the different structures of the sensor analysed due to some steric hindrances.
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Affiliation(s)
- Edyta Pyrak
- Faculty of Chemistry, University of Warsaw, Pasteura 1 Str., PL 02-093 Warsaw, Poland; Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteura 3 St., 02-093 Warsaw, Poland
| | - Agata Kowalczyk
- Faculty of Chemistry, University of Warsaw, Pasteura 1 Str., PL 02-093 Warsaw, Poland
| | - Jan L Weyher
- Institute of High Pressure Physics of the Polish Academy of Science, Sokolowska 29/37 Str., PL 01-142 Warsaw, Poland
| | - Anna M Nowicka
- Faculty of Chemistry, University of Warsaw, Pasteura 1 Str., PL 02-093 Warsaw, Poland
| | - Andrzej Kudelski
- Faculty of Chemistry, University of Warsaw, Pasteura 1 Str., PL 02-093 Warsaw, Poland.
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18
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Pierattini B, D’Agostino S, Bon C, Peruzzo O, Alendar A, Codino A, Ros G, Persichetti F, Sanges R, Carninci P, Santoro C, Espinoza S, Valentini P, Pandolfini L, Gustincich S. SINEUP non-coding RNA activity depends on specific N6-methyladenosine nucleotides. MOLECULAR THERAPY. NUCLEIC ACIDS 2023; 32:402-414. [PMID: 37187707 PMCID: PMC10176434 DOI: 10.1016/j.omtn.2023.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 04/04/2023] [Indexed: 05/17/2023]
Abstract
SINEUPs are natural and synthetic antisense long non-coding RNAs (lncRNAs) selectively enhancing target mRNAs translation by increasing their association with polysomes. This activity requires two RNA domains: an embedded inverted SINEB2 element acting as effector domain, and an antisense region, the binding domain, conferring target selectivity. SINEUP technology presents several advantages to treat genetic (haploinsufficiencies) and complex diseases restoring the physiological activity of diseased genes and of compensatory pathways. To streamline these applications to the clinic, a better understanding of the mechanism of action is needed. Here we show that natural mouse SINEUP AS Uchl1 and synthetic human miniSINEUP-DJ-1 are N6-methyladenosine (m6A) modified by METTL3 enzyme. Then, we map m6A-modified sites along SINEUP sequence with Nanopore direct RNA sequencing and a reverse transcription assay. We report that m6A removal from SINEUP RNA causes the depletion of endogenous target mRNA from actively translating polysomes, without altering SINEUP enrichment in ribosomal subunit-associated fractions. These results prove that SINEUP activity requires an m6A-dependent step to enhance translation of target mRNAs, providing a new mechanism for m6A translation regulation and strengthening our knowledge of SINEUP-specific mode of action. Altogether these new findings pave the way to a more effective therapeutic application of this well-defined class of lncRNAs.
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Affiliation(s)
- Bianca Pierattini
- Area of Neuroscience, International School for Advanced Studies (SISSA), Trieste, Italy
- Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Sabrina D’Agostino
- Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Carlotta Bon
- Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Omar Peruzzo
- Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Andrej Alendar
- The Gurdon Institute and Department of Pathology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Azzurra Codino
- Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Gloria Ros
- Department of Health Sciences and Research Center on Autoimmune and Allergic Diseases (CAAD), University of Piemonte Orientale (UPO), Novara, Italy
| | - Francesca Persichetti
- Department of Health Sciences and Research Center on Autoimmune and Allergic Diseases (CAAD), University of Piemonte Orientale (UPO), Novara, Italy
| | - Remo Sanges
- Area of Neuroscience, International School for Advanced Studies (SISSA), Trieste, Italy
- Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), Genova, Italy
| | - Piero Carninci
- RIKEN Center for Integrative Medical Sciences (IMS), Yokohama 230-0045, Japan
- Human Technopole, 20157 Milan, Italy
| | - Claudio Santoro
- Department of Health Sciences and Research Center on Autoimmune and Allergic Diseases (CAAD), University of Piemonte Orientale (UPO), Novara, Italy
| | - Stefano Espinoza
- Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), Genova, Italy
- Department of Health Sciences and Research Center on Autoimmune and Allergic Diseases (CAAD), University of Piemonte Orientale (UPO), Novara, Italy
| | - Paola Valentini
- Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), Genova, Italy
- Corresponding author: Paola Valentini, Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), via Melen 83, 16152 Genova, Italy.
| | - Luca Pandolfini
- Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), Genova, Italy
- Corresponding author: Luca Pandolfini, Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), via Melen 83, 16152 Genova, Italy.
| | - Stefano Gustincich
- Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), Genova, Italy
- Corresponding author: Stefano Gustincich, Central RNA Laboratory, Istituto Italiano di Tecnologia (IIT), via Melen 83, 16152 Genova, Italy.
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19
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Kong Y, Mead EA, Fang G. Navigating the pitfalls of mapping DNA and RNA modifications. Nat Rev Genet 2023; 24:363-381. [PMID: 36653550 PMCID: PMC10722219 DOI: 10.1038/s41576-022-00559-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/21/2022] [Indexed: 01/19/2023]
Abstract
Chemical modifications to nucleic acids occur across the kingdoms of life and carry important regulatory information. Reliable high-resolution mapping of these modifications is the foundation of functional and mechanistic studies, and recent methodological advances based on next-generation sequencing and long-read sequencing platforms are critical to achieving this aim. However, mapping technologies may have limitations that sometimes lead to inconsistent results. Some of these limitations are technical in nature and specific to certain types of technology. Here, however, we focus on common (yet not always widely recognized) pitfalls that are shared among frequently used mapping technologies and discuss strategies to help technology developers and users mitigate their effects. Although the emphasis is primarily on DNA modifications, RNA modifications are also discussed.
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Affiliation(s)
- Yimeng Kong
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Edward A Mead
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gang Fang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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20
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Liu M, Li J, Tan CS. Unlocking the Power of Nanopores: Recent Advances in Biosensing Applications and Analog Front-End. BIOSENSORS 2023; 13:598. [PMID: 37366963 DOI: 10.3390/bios13060598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/24/2023] [Accepted: 05/29/2023] [Indexed: 06/28/2023]
Abstract
The biomedical field has always fostered innovation and the development of various new technologies. Beginning in the last century, demand for picoampere-level current detection in biomedicine has increased, leading to continuous breakthroughs in biosensor technology. Among emerging biomedical sensing technologies, nanopore sensing has shown great potential. This paper reviews nanopore sensing applications, such as chiral molecules, DNA sequencing, and protein sequencing. However, the ionic current for different molecules differs significantly, and the detection bandwidths vary as well. Therefore, this article focuses on current sensing circuits, and introduces the latest design schemes and circuit structures of different feedback components of transimpedance amplifiers mainly used in nanopore DNA sequencing.
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Affiliation(s)
- Miao Liu
- Medical College, Tianjin University, Tianjin 300072, China
| | - Junyang Li
- Medical College, Tianjin University, Tianjin 300072, China
| | - Cherie S Tan
- Medical College, Tianjin University, Tianjin 300072, China
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21
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Prall W, Ganguly DR, Gregory BD. The covalent nucleotide modifications within plant mRNAs: What we know, how we find them, and what should be done in the future. THE PLANT CELL 2023; 35:1801-1816. [PMID: 36794718 PMCID: PMC10226571 DOI: 10.1093/plcell/koad044] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/16/2022] [Accepted: 01/09/2023] [Indexed: 05/30/2023]
Abstract
Although covalent nucleotide modifications were first identified on the bases of transfer RNAs (tRNAs) and ribosomal RNAs (rRNAs), a number of these epitranscriptome marks have also been found to occur on the bases of messenger RNAs (mRNAs). These covalent mRNA features have been demonstrated to have various and significant effects on the processing (e.g. splicing, polyadenylation, etc.) and functionality (e.g. translation, transport, etc.) of these protein-encoding molecules. Here, we focus our attention on the current understanding of the collection of covalent nucleotide modifications known to occur on mRNAs in plants, how they are detected and studied, and the most outstanding future questions of each of these important epitranscriptomic regulatory signals.
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Affiliation(s)
- Wil Prall
- Department of Biology, University of Pennsylvania, School of Arts and Sciences, 433 S. University Ave., Philadelphia, PA 19104, USA
| | - Diep R Ganguly
- Department of Biology, University of Pennsylvania, School of Arts and Sciences, 433 S. University Ave., Philadelphia, PA 19104, USA
| | - Brian D Gregory
- Department of Biology, University of Pennsylvania, School of Arts and Sciences, 433 S. University Ave., Philadelphia, PA 19104, USA
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22
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Gonzalez-Garcia L, Guevara-Barrientos D, Lozano-Arce D, Gil J, Díaz-Riaño J, Duarte E, Andrade G, Bojacá JC, Hoyos-Sanchez MC, Chavarro C, Guayazan N, Chica LA, Buitrago Acosta MC, Bautista E, Trujillo M, Duitama J. New algorithms for accurate and efficient de novo genome assembly from long DNA sequencing reads. Life Sci Alliance 2023; 6:e202201719. [PMID: 36813568 PMCID: PMC9946810 DOI: 10.26508/lsa.202201719] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 02/10/2023] [Accepted: 02/13/2023] [Indexed: 02/24/2023] Open
Abstract
Building de novo genome assemblies for complex genomes is possible thanks to long-read DNA sequencing technologies. However, maximizing the quality of assemblies based on long reads is a challenging task that requires the development of specialized data analysis techniques. We present new algorithms for assembling long DNA sequencing reads from haploid and diploid organisms. The assembly algorithm builds an undirected graph with two vertices for each read based on minimizers selected by a hash function derived from the k-mer distribution. Statistics collected during the graph construction are used as features to build layout paths by selecting edges, ranked by a likelihood function. For diploid samples, we integrated a reimplementation of the ReFHap algorithm to perform molecular phasing. We ran the implemented algorithms on PacBio HiFi and Nanopore sequencing data taken from haploid and diploid samples of different species. Our algorithms showed competitive accuracy and computational efficiency, compared with other currently used software. We expect that this new development will be useful for researchers building genome assemblies for different species.
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Affiliation(s)
- Laura Gonzalez-Garcia
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | | | - Daniela Lozano-Arce
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Juanita Gil
- Department of Entomology and Plant Pathology, University of Arkansas, Fayetteville, AR, USA
| | - Jorge Díaz-Riaño
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Erick Duarte
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Germán Andrade
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Juan Camilo Bojacá
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | | | - Christian Chavarro
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Natalia Guayazan
- Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia
| | - Luis Alberto Chica
- Research Group on Computational Biology and Microbial Ecology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia
- Max Planck Tandem Group in Computational Biology, Universidad de los Andes, Bogotá, Colombia
| | | | - Edwin Bautista
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Miller Trujillo
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Jorge Duitama
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
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23
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Chen L, Ou L, Jing X, Kong Y, Xie B, Zhang N, Shi H, Qin H, Li X, Hao P. DeepEdit: single-molecule detection and phasing of A-to-I RNA editing events using nanopore direct RNA sequencing. Genome Biol 2023; 24:75. [PMID: 37069604 PMCID: PMC10108526 DOI: 10.1186/s13059-023-02921-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/28/2023] [Indexed: 04/19/2023] Open
Abstract
Single-molecule detection and phasing of A-to-I RNA editing events remain an unresolved problem. Long-read and PCR-free nanopore native RNA sequencing offers a great opportunity for direct RNA editing detection. Here, we develop a neural network model, DeepEdit, that not only recognizes A-to-I editing events in single reads of Oxford Nanopore direct RNA sequencing, but also resolves the phasing of RNA editing events on transcripts. We illustrate the robustness of DeepEdit by applying it to Schizosaccharomyces pombe and Homo sapiens transcriptome data. We anticipate DeepEdit to be a powerful tool for the study of RNA editing from a new perspective.
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Affiliation(s)
- Longxian Chen
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Liang Ou
- Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China
| | - Xinyun Jing
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Yimeng Kong
- Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bingran Xie
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Niubing Zhang
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Han Shi
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hang Qin
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Xuan Li
- Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Pei Hao
- Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
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24
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Searle B, Müller M, Carell T, Kellett A. Third-Generation Sequencing of Epigenetic DNA. Angew Chem Int Ed Engl 2023; 62:e202215704. [PMID: 36524852 DOI: 10.1002/anie.202215704] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022]
Abstract
The discovery of epigenetic bases has revolutionised the understanding of disease and development. Among the most studied epigenetic marks are cytosines covalently modified at the 5 position. In order to gain insight into their biological significance, the ability to determine their spatiotemporal distribution within the genome is essential. Techniques for sequencing on "next-generation" platforms often involve harsh chemical treatments leading to sample degradation. Third-generation sequencing promises to further revolutionise the field by providing long reads, enabling coverage of highly repetitive regions of the genome or structural variants considered unmappable by next generation sequencing technology. While the ability of third-generation platforms to directly detect epigenetic modifications is continuously improving, at present chemical or enzymatic derivatisation presents the most convenient means of enhancing reliability. This Review presents techniques available for the detection of cytosine modifications on third-generation platforms.
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Affiliation(s)
- Bethany Searle
- SSPC, the SFI Research Centre for Pharmaceuticals, School of Chemical Sciences, Dublin City University, Glasnevin, Dublin 9, Dublin, Ireland
| | - Markus Müller
- Department of Chemistry, Ludwig-Maximilians Universität München, Butenandtstr. 5-13, 81377, Munich, Germany
| | - Thomas Carell
- Department of Chemistry, Ludwig-Maximilians Universität München, Butenandtstr. 5-13, 81377, Munich, Germany
| | - Andrew Kellett
- SSPC, the SFI Research Centre for Pharmaceuticals, School of Chemical Sciences, Dublin City University, Glasnevin, Dublin 9, Dublin, Ireland
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25
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Hamim I, Sekine KT, Komatsu K. How do emerging long-read sequencing technologies function in transforming the plant pathology research landscape? PLANT MOLECULAR BIOLOGY 2022; 110:469-484. [PMID: 35962900 DOI: 10.1007/s11103-022-01305-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 07/26/2022] [Indexed: 06/15/2023]
Abstract
Long-read sequencing technologies are revolutionizing the sequencing and analysis of plant and pathogen genomes and transcriptomes, as well as contributing to emerging areas of interest in plant-pathogen interactions, disease management techniques, and the introduction of new plant varieties or cultivars. Long-read sequencing (LRS) technologies are progressively being implemented to study plants and pathogens of agricultural importance, which have substantial economic effects. The variability and complexity of the genome and transcriptome affect plant growth, development and pathogen responses. Overcoming the limitations of second-generation sequencing, LRS technology has significantly increased the length of a single contiguous read from a few hundred to millions of base pairs. Because of the longer read lengths, new analysis methods and tools have been developed for plant and pathogen genomics and transcriptomics. LRS technologies enable faster, more efficient, and high-throughput ultralong reads, allowing direct sequencing of genomes that would be impossible or difficult to investigate using short-read sequencing approaches. These benefits include genome assembly in repetitive areas, creating more comprehensive and exact genome determinations, assembling full-length transcripts, and detecting DNA and RNA alterations. Furthermore, these technologies allow for the identification of transcriptome diversity, significant structural variation analysis, and direct epigenetic mark detection in plant and pathogen genomic regions. LRS in plant pathology is found efficient for identifying and characterization of effectors in plants as well as known and unknown plant pathogens. In this review, we investigate how these technologies are transforming the landscape of determination and characterization of plant and pathogen genomes and transcriptomes efficiently and accurately. Moreover, we highlight potential areas of interest offered by LRS technologies for future study into plant-pathogen interactions, disease control strategies, and the development of new plant varieties or cultivars.
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Affiliation(s)
- Islam Hamim
- Laboratory of Plant Pathology, Graduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Japan
- International Research Fellow of Japan Society for the Promotion of Science, Tokyo, Japan
- Department of Plant Pathology, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Ken-Taro Sekine
- Faculty of Agriculture, University of the Ryukyus, Okinawa, Japan
| | - Ken Komatsu
- Laboratory of Plant Pathology, Graduate School of Agriculture, Tokyo University of Agriculture and Technology, Fuchu, Japan.
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26
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Nossent AY. The epitranscriptome: RNA modifications in vascular remodelling. Atherosclerosis 2022:S0021-9150(22)01500-3. [DOI: 10.1016/j.atherosclerosis.2022.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/13/2022] [Accepted: 11/03/2022] [Indexed: 11/10/2022]
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White LK, Hesselberth JR. Modification mapping by nanopore sequencing. Front Genet 2022; 13:1037134. [PMID: 36386798 PMCID: PMC9650216 DOI: 10.3389/fgene.2022.1037134] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 10/07/2022] [Indexed: 06/26/2024] Open
Abstract
Next generation sequencing (NGS) has provided biologists with an unprecedented view into biological processes and their regulation over the past 2 decades, fueling a wave of development of high throughput methods based on short read DNA and RNA sequencing. For nucleic acid modifications, NGS has been coupled with immunoprecipitation, chemical treatment, enzymatic treatment, and/or the use of reverse transcriptase enzymes with fortuitous activities to enrich for and to identify covalent modifications of RNA and DNA. However, the majority of nucleic acid modifications lack commercial monoclonal antibodies, and mapping techniques that rely on chemical or enzymatic treatments to manipulate modification signatures add additional technical complexities to library preparation. Moreover, such approaches tend to be specific to a single class of RNA or DNA modification, and generate only indirect readouts of modification status. Third generation sequencing technologies such as the commercially available "long read" platforms from Pacific Biosciences and Oxford Nanopore Technologies are an attractive alternative for high throughput detection of nucleic acid modifications. While the former can indirectly sense modified nucleotides through changes in the kinetics of reverse transcription reactions, nanopore sequencing can in principle directly detect any nucleic acid modification that produces a signal distortion as the nucleic acid passes through a nanopore sensor embedded within a charged membrane. To date, more than a dozen endogenous DNA and RNA modifications have been interrogated by nanopore sequencing, as well as a number of synthetic nucleic acid modifications used in metabolic labeling, structure probing, and other emerging applications. This review is intended to introduce the reader to nanopore sequencing and key principles underlying its use in direct detection of nucleic acid modifications in unamplified DNA or RNA samples, and outline current approaches for detecting and quantifying nucleic acid modifications by nanopore sequencing. As this technology matures, we anticipate advances in both sequencing chemistry and analysis methods will lead to rapid improvements in the identification and quantification of these epigenetic marks.
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Affiliation(s)
| | - Jay R. Hesselberth
- Department of Biochemistry and Molecular Genetics, RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, CO, United States
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28
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Punthambaker S. Detection of modified RNA with an engineered nanopore. NATURE NANOTECHNOLOGY 2022; 17:1044-1045. [PMID: 36056209 DOI: 10.1038/s41565-022-01210-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Sukanya Punthambaker
- Department of Genetics, Harvard Medical School and Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
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29
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Tounsi WA, Lenis VP, Tammi SM, Sainio S, Haimila K, Avent ND, Madgett TE. Rh Blood Group D Antigen Genotyping Using a Portable Nanopore-based Sequencing Device: Proof of Principle. Clin Chem 2022; 68:1196-1201. [PMID: 35652461 DOI: 10.1093/clinchem/hvac075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 04/13/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND Nanopore sequencing is direct sequencing of a single-stranded DNA molecule using biological pores. A portable nanopore-based sequencing device from Oxford Nanopore Technologies (MinION) depends on driving a DNA molecule through nanopores embedded in a membrane using a voltage. Changes in current are then measured by a sensor, thousands of times per second and translated to nucleobases. METHODS Genomic DNA (gDNA) samples (n = 13) were tested for Rh blood group D antigen (RHD) gene zygosity using droplet digital PCR. The RHD gene was amplified in 6 overlapping amplicons using long-range PCR. Amplicons were purified, and the sequencing library was prepared following the 1D Native barcoding gDNA protocol. Sequencing was carried out with 1D flow cells R9 version. Data analysis included basecalling, aligning to the RHD reference sequence, and calling variants. Variants detected were compared to the results acquired previously by the Ion Personal Genome Machine (Ion PGM). RESULTS Up to 500× sequence coverage across the RHD gene allowed accurate variant calling. Exonic changes in the RHD gene allowed RHD allele determination for all samples sequenced except 1 RHD homozygous sample, where 2 heterozygous RHD variant alleles are suspected. There were 3 known variant RHD alleles (RHD*01W.02, RHD*11, and RHD*15) and 6 novel RHD variant alleles, as previously seen in Ion PGM sequencing data for these samples. CONCLUSIONS MinION was effective in blood group genotyping, provided enough sequencing data to achieve high coverage of the RHD gene, and enabled confident calling of variants and RHD allele determination.
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Affiliation(s)
- Wajnat A Tounsi
- Faculty of Applied Medical Sciences, Department of Medical Laboratory Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
- School of Biomedical Sciences, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Vasileios P Lenis
- School of Biomedical Sciences, Faculty of Health, University of Plymouth, Plymouth, UK
- School of Health and Life Sciences, Teesside University, Middlesbrough, Tees Valley, UK
| | - Silja M Tammi
- Research and Development, Finnish Red Cross Blood Service, Helsinki, Finland
| | - Susanna Sainio
- Blood Group Unit, Finnish Red Cross Blood Service, Helsinki, Finland
| | - Katri Haimila
- Blood Group Unit, Finnish Red Cross Blood Service, Helsinki, Finland
| | - Neil D Avent
- School of Biomedical Sciences, Faculty of Health, University of Plymouth, Plymouth, UK
| | - Tracey E Madgett
- School of Biomedical Sciences, Faculty of Health, University of Plymouth, Plymouth, UK
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30
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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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31
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Vogeley C, Nguyen T, Woeste S, Krutmann J, Haarmann-Stemmann T, Rossi A. Rapid and simple analysis of short and long sequencing reads using DuesselporeTM. Front Genet 2022; 13:931996. [PMID: 36035127 PMCID: PMC9403543 DOI: 10.3389/fgene.2022.931996] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/28/2022] [Indexed: 12/11/2022] Open
Abstract
Transcriptome analysis experiments enable researchers to gain extensive insights into the molecular mechanisms underlying cell physiology and disease. Oxford Nanopore Technologies (ONT) has recently been developed as a fast, miniaturized, portable, and cost-effective alternative to next-generation sequencing (NGS). However, RNA-Seq data analysis software that exploits ONT portability and allows scientists to easily analyze ONT data everywhere without bioinformatics expertise is not widely available. We developed DuesselporeTM, an easy-to-follow deep sequencing workflow that runs as a local webserver and allows the analysis of ONT data everywhere without requiring additional bioinformatics tools or internet connection. DuesselporeTM output includes differentially expressed genes and further downstream analyses, such as variance heatmap, disease and gene ontology plots, gene concept network plots, and exports customized pathways for different cellular processes. We validated DuesselporeTM by analyzing the transcriptomic changes induced by PCB126, a dioxin-like PCB, and a potent aryl hydrocarbon receptor (AhR) agonist in human HaCaT keratinocytes, a well-characterized model system. DuesselporeTM was specifically developed to analyze ONT data, but we also implemented NGS data analysis. DuesselporeTM is compatible with Linux, Microsoft, and Mac operating systems and allows convenient, reliable, and cost-effective analysis of ONT and NGS data.
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32
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Sun K, Liu Y, Zhou X, Yin C, Zhang P, Yang Q, Mao L, Shentu X, Yu X. Nanopore sequencing technology and its application in plant virus diagnostics. Front Microbiol 2022; 13:939666. [PMID: 35958160 PMCID: PMC9358452 DOI: 10.3389/fmicb.2022.939666] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 07/05/2022] [Indexed: 11/13/2022] Open
Abstract
Plant viruses threaten crop yield and quality; thus, efficient and accurate pathogen diagnostics are critical for crop disease management and control. Recent advances in sequencing technology have revolutionized plant virus research. Metagenomics sequencing technology, represented by next-generation sequencing (NGS), has greatly enhanced the development of virus diagnostics research because of its high sensitivity, high throughput and non-sequence dependence. However, NGS-based virus identification protocols are limited by their high cost, labor intensiveness, and bulky equipment. In recent years, Oxford Nanopore Technologies and advances in third-generation sequencing technology have enabled direct, real-time sequencing of long DNA or RNA reads. Oxford Nanopore Technologies exhibit versatility in plant virus detection through their portable sequencers and flexible data analyses, thus are wildly used in plant virus surveillance, identification of new viruses, viral genome assembly, and evolution research. In this review, we discuss the applications of nanopore sequencing in plant virus diagnostics, as well as their limitations.
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Affiliation(s)
- Kai Sun
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Yi Liu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Xin Zhou
- Ausper Biopharma, Hangzhou, China
| | - Chuanlin Yin
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Pengjun Zhang
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Qianqian Yang
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Lingfeng Mao
- Hangzhou Baiyi Technology Co., Ltd., Hangzhou, China
| | - Xuping Shentu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
- *Correspondence: Xuping Shentu,
| | - Xiaoping Yu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection and Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
- Xiaoping Yu,
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Silva C, Machado M, Ferrão J, Sebastião Rodrigues A, Vieira L. Whole human genome 5'-mC methylation analysis using long read nanopore sequencing. Epigenetics 2022; 17:1961-1975. [PMID: 35856633 DOI: 10.1080/15592294.2022.2097473] [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: 11/03/2022] Open
Abstract
Methylation microarray and bisulphite sequencing are often used to study 5'-methylcytosine (5'-mC) modification of CpG dinucleotides in the human genome. Although both technologies produce trustworthy results, the evaluation of the methylation status of CpG sites suffers from the potential side effects of DNA modification by bisulphite and/or the ambiguity of mapping short reads in repetitive and highly homologous genomic regions, respectively. Nanopore sequencing is an attractive alternative for the study of 5'-mC since it allows sequencing of native DNA molecules, whereas the long reads produced by this technology help to increase the resolution of those genomic regions. In this work, we show that nanopore sequencing with 10X coverage depth, using DNA from a human cell line, produces 5'-mC methylation frequencies consistent with those obtained by 450k microarray, digital restriction enzyme analysis of methylation, and reduced representation bisulphite sequencing. High correlation between methylation frequencies obtained by nanopore sequencing and the other methodologies was also noticeable in either low or high GC content regions, including CpG islands and transcription start sites. We also showed that a minimum of five reads per CpG yields strong correlations (>0.89) in replicate nanopore sequencing runs and an almost uniform linearity of the methylation frequency variation between zero and one. Furthermore, nanopore sequencing was able to correctly display methylation frequency patterns based on genomic annotations of CpG regions. These results demonstrate that nanopore sequencing is a fast, robust, and reliable approach to the study of 5'-mC in the human genome with low coverage depth.
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Affiliation(s)
- Catarina Silva
- Inovação, Departamento de Genética Humana, Instituto Nacional de Saúde Doutor Ricardo JorgeUnidade de Tecnologia e , Lisboa, Portugal.,Saúde Humana (ToxOmics), NOVA Medical School
- Faculdade de Ciências Médicas, Universidade Nova de LisboaCentro de Toxicogenómica e , Lisboa, Portugal
| | - Miguel Machado
- Inovação, Departamento de Genética Humana, Instituto Nacional de Saúde Doutor Ricardo JorgeUnidade de Tecnologia e , Lisboa, Portugal
| | - José Ferrão
- Inovação, Departamento de Genética Humana, Instituto Nacional de Saúde Doutor Ricardo JorgeUnidade de Tecnologia e , Lisboa, Portugal
| | - António Sebastião Rodrigues
- Saúde Humana (ToxOmics), NOVA Medical School
- Faculdade de Ciências Médicas, Universidade Nova de LisboaCentro de Toxicogenómica e , Lisboa, Portugal
| | - Luís Vieira
- Inovação, Departamento de Genética Humana, Instituto Nacional de Saúde Doutor Ricardo JorgeUnidade de Tecnologia e , Lisboa, Portugal.,Saúde Humana (ToxOmics), NOVA Medical School
- Faculdade de Ciências Médicas, Universidade Nova de LisboaCentro de Toxicogenómica e , Lisboa, Portugal
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Li W, Wang Y, Xiao Y, Li M, Liu Q, Liang L, Xie W, Wang D, Guan X, Wang L. Simultaneous Dual-Site Identification of 5 mC/8 oG in DNA Triplex Using a Nanopore Sensor. ACS APPLIED MATERIALS & INTERFACES 2022; 14:32948-32959. [PMID: 35816657 DOI: 10.1021/acsami.2c08478] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
DNA triplex participates in delivering site-specific epigenetic modifications critical for the regulation of gene expression. Among these marks, 5mC with 8oG functions comprehensively on gene expression. Recently, few research studies have emphasized the necessity of incorporation detection of 5mC with 8oG using one DNA triplex at the same time. Herein, DNA triplex structure was designed and tailored for the site-specific identification of 5mC with 8oG by means of nanopore electroanalysis. The identification was associated with the distinguishable current modulation types caused by DNA unzipping through the nanopore in an electrical field. Results demonstrated that the epigenetic modification proximity to the latch zone or constriction area of the nanopore enables differentiation of modification series at single nucleotide resolution in one DNA triplex, at both physiological and mildly acidic environment. In addition, our nanopore method enables the kinetic and thermodynamic studies to calculate the free energy of modified DNA triplex with applied potentials. Gibbs' energy provided the direct evidence that the DNA triplex with these epigenetic modifications is more stable in acidic environment. Considering modified DNA functions significantly in gene expression, the presented method may provide future opportunities to understand incorporating epigenetic mechanisms of many dysregulated biological processes on the basis of accurate detection.
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Affiliation(s)
- Wei Li
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Key Laboratory of Intelligent Medicine Engineering for Hepatopancreatobiliary Diseases, University of Chinese Academy of Sciences, Chongqing 401147, China
| | - Yunjiao Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Yicen Xiao
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Key Laboratory of Intelligent Medicine Engineering for Hepatopancreatobiliary Diseases, University of Chinese Academy of Sciences, Chongqing 401147, China
| | - Minghan Li
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Key Laboratory of Intelligent Medicine Engineering for Hepatopancreatobiliary Diseases, University of Chinese Academy of Sciences, Chongqing 401147, China
| | - Qianshan Liu
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Key Laboratory of Intelligent Medicine Engineering for Hepatopancreatobiliary Diseases, University of Chinese Academy of Sciences, Chongqing 401147, China
| | - Liyuan Liang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Wanyi Xie
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Deqiang Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
| | - Xiyun Guan
- Department of Chemistry, Illinois Institute of Technology, Chicago, Illinois 60616, United States
| | - Liang Wang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China
- Chongqing Key Laboratory of Intelligent Medicine Engineering for Hepatopancreatobiliary Diseases, University of Chinese Academy of Sciences, Chongqing 401147, China
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Pai SS, Ranjan S, Mathew AR, Anindya R, Meur G. Analysis of the long-read sequencing data using computational tools confirms the presence of 5-methylcytosine in the Saccharomyces cerevisiae genome. Access Microbiol 2022; 4:acmi000363. [PMID: 36004362 PMCID: PMC9394670 DOI: 10.1099/acmi.0.000363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 04/27/2022] [Indexed: 11/18/2022] Open
Abstract
Modification of DNA bases plays important roles in the epigenetic regulation of eukaryotic gene expression. Among the different types of DNA methylation, 5-methylcytosine (5mC) is common in higher eukaryotes. Although bisulfite sequencing is the established detection method for this modification, newer methods, such as Oxford nanopore sequencing, have been developed as quick and reliable alternatives. An earlier study using sensitive liquid chromatography tandem mass spectrometry (LC-MS/MS) indicated the presence of 5mC at very low concentration in Saccharomyces cerevisiae. More recently, a comprehensive study of the yeast genome found 40 5mC sites using the computational tool Nanopolish on nanopore sequencing output raw data. In the present study, we are trying to validate the prediction of the 5mC modifications in yeast with Nanopolish and two other nanopore software tools, Tombo and DeepSignal. Using publicly available genome sequencing data, we compared the open-access computational tools, including Tombo, Nanopolish and DeepSignal, for predicting 5mC. Our results suggest that these tools are indeed capable of predicting DNA 5mC modifications at a specific location from Oxford nanopore sequencing data. We also predicted that 5mC present in the S. cerevisiae genome might be located predominantly at the RDN locus of chromosome 12.
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Affiliation(s)
- Shruta Sandesh Pai
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy-502284, India
| | - Saumya Ranjan
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy-502284, India
| | - Aimee Rachel Mathew
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy-502284, India
| | - Roy Anindya
- Department of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Sangareddy-502284, India
| | - Gargi Meur
- National Institute of Nutrition, Hyderabad-500007, India
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Barozzi C, Zacchini F, Asghar S, Montanaro L. Ribosomal RNA Pseudouridylation: Will Newly Available Methods Finally Define the Contribution of This Modification to Human Ribosome Plasticity? Front Genet 2022; 13:920987. [PMID: 35719370 PMCID: PMC9198423 DOI: 10.3389/fgene.2022.920987] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 05/09/2022] [Indexed: 12/05/2022] Open
Abstract
In human rRNA, at least 104 specific uridine residues are modified to pseudouridine. Many of these pseudouridylation sites are located within functionally important ribosomal domains and can influence ribosomal functional features. Until recently, available methods failed to reliably quantify the level of modification at each specific rRNA site. Therefore, information obtained so far only partially explained the degree of regulation of pseudouridylation in different physiological and pathological conditions. In this focused review, we provide a summary of the methods that are now available for the study of rRNA pseudouridylation, discussing the perspectives that newly developed approaches are offering.
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Affiliation(s)
- Chiara Barozzi
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Alma Mater Studiorum—Università di Bologna, Bologna, Italy
- Centro di Ricerca Biomedica Applicata, CRBA, Universita di Bologna, Policlinico di Sant’Orsola, Bologna, Italy
| | - Federico Zacchini
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Alma Mater Studiorum—Università di Bologna, Bologna, Italy
- Centro di Ricerca Biomedica Applicata, CRBA, Universita di Bologna, Policlinico di Sant’Orsola, Bologna, Italy
| | - Sidra Asghar
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Alma Mater Studiorum—Università di Bologna, Bologna, Italy
- Centro di Ricerca Biomedica Applicata, CRBA, Universita di Bologna, Policlinico di Sant’Orsola, Bologna, Italy
| | - Lorenzo Montanaro
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), Alma Mater Studiorum—Università di Bologna, Bologna, Italy
- Centro di Ricerca Biomedica Applicata, CRBA, Universita di Bologna, Policlinico di Sant’Orsola, Bologna, Italy
- Departmental Program in Laboratory Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
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Auld FM, Sergi CM, Leng R, Shen F. The Role of N6-Methyladenosine in the Promotion of Hepatoblastoma: A Critical Review. Cells 2022; 11:cells11091516. [PMID: 35563821 PMCID: PMC9101889 DOI: 10.3390/cells11091516] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/08/2022] [Accepted: 04/28/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Hepatoblastoma is the most common malignant pediatric tumor of the liver. Unlike hepatocellular carcinoma (HCC) which has been associated with hepatitis B virus infection or cirrhosis, the etiology of hepatoblastoma remains vague. Genetic syndromes, including familial adenomatous polyposis (FAP), Beckwith-Wiedemann syndrome (BWS), and trisomy 18 syndrome, have been associated with hepatoblastoma. BWS is an overgrowth syndrome which exhibits an alteration of genomic imprinting on chromosome 11p15.5. N6-Methyladenosine (M6A) is an RNA modification with rampant involvement in the metabolism of cells and malignant diseases. It has been observed to impact the development of various cancers via its governance of gene expression. Here, we explore the role of m6A and its genetic associates in promoting HB, and the impact this may have on our future management of the disease. Abstract Hepatoblastoma (HB) is a rare primary malignancy of the developing fetal liver. Its course is profoundly influenced by genetics, in the context of sporadic mutation or genetic syndromes. Conventionally, subtypes of HB are histologically determined based on the tissue type that is recapitulated by the tumor and the direction of its differentiation. This classification is being reevaluated based on advances on molecular pathology. The therapeutic approach comprises surgical intervention, chemotherapy (in a neoadjuvant or post-operative capacity), and in some cases, liver transplantation. Although diagnostic modalities and treatment options are evolving, some patients experience complications, including relapse, metastatic spread, and suboptimal response to chemotherapy. As yet, there is no consistent framework with which such outcomes can be predicted. N6-methyladenosine (m6A) is an RNA modification with rampant involvement in the normal processing of cell metabolism and neoplasia. It has been observed to impact the development of a variety of cancers via its governance of gene expression. M6A-associated genes appear prominently in HB. Literature data seem to underscore the role of m6A in promotion and clinical course of HB. Illuminating the pathogenetic mechanisms that drive HB are promising additions to the understanding of the clinically aggressive tumor behavior, given its potential to predict disease course and response to therapy. Implicated genes may also act as targets to facilitate the evolving personalized cancer therapy. Here, we explore the role of m6A and its genetic associates in the promotion of HB, and the impact this may have on the management of this neoplastic disease.
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Affiliation(s)
- Finn Morgan Auld
- Department of Laboratory Medicine and Pathology, University of Ottawa, Ottawa, ON K1N 6N5, Canada;
| | - Consolato M. Sergi
- Division of Anatomical Pathology, Children’s Hospital of Eastern Ontario (CHEO), Ottawa, ON K1H 8L1, Canada
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada;
- Correspondence: (C.M.S.); (F.S.)
| | - Roger Leng
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada;
| | - Fan Shen
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada;
- Correspondence: (C.M.S.); (F.S.)
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Wadley T, Moon SH, DeMott MS, Wanchai V, Huang E, Dedon PC, Boysen G, Nookaew I. Nanopore Sequencing for Detection and Characterization of Phosphorothioate Modifications in Native DNA Sequences. Front Microbiol 2022; 13:871937. [PMID: 35531280 PMCID: PMC9069010 DOI: 10.3389/fmicb.2022.871937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 03/23/2022] [Indexed: 11/13/2022] Open
Abstract
Bacterial DNA is subject to various modifications involved in gene regulation and defense against bacteriophage attacks. Phosphorothioate (PT) modifications are protective modifications in which the non-bridging oxygen in the DNA phosphate backbone is replaced with a sulfur atom. Here, we expand third-generation sequencing techniques to allow for the sequence-specific mapping of DNA modifications by demonstrating the application of Oxford Nanopore Technologies (ONT) and the ELIGOS software package for site-specific detection and characterization of PT modifications. The ONT/ELIGOS platform accurately detected PT modifications in a plasmid carrying synthetic PT modifications. Subsequently, studies were extended to the genome-wide mapping of PT modifications in the Salmonella enterica genomes within the wild-type strain and strains lacking the PT regulatory gene dndB (ΔdndB) or the PT synthetic gene dndC (ΔdndC). PT site-specific signatures were observed in the established motifs of GAAC/GTTC. The PT site locations were in close agreement with PT sites previously identified using the Nick-seq technique. Compared to the wild-type strain, the number of PT modifications are 1.8-fold higher in ΔdndB and 25-fold lower in ΔdndC, again consistent with known regulation of the dnd operon. These results demonstrate the suitability of the ONT platform for accurate detection and identification of the unusual PT backbone modifications in native genome sequences.
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Affiliation(s)
- Taylor Wadley
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- Department of Pathobiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Sun Hee Moon
- Department of Environmental and Occupational Health, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Michael S. DeMott
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Visanu Wanchai
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - En Huang
- Department of Environmental and Occupational Health, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Peter C. Dedon
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Gunnar Boysen
- Department of Environmental and Occupational Health, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Intawat Nookaew
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- *Correspondence: Intawat Nookaew,
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Rossi A, Kontarakis Z. Beyond Mendelian Inheritance: Genetic Buffering and Phenotype Variability. PHENOMICS (CHAM, SWITZERLAND) 2022; 2:79-87. [PMID: 36939776 PMCID: PMC9590499 DOI: 10.1007/s43657-021-00030-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 09/29/2021] [Accepted: 10/08/2021] [Indexed: 06/18/2023]
Abstract
Understanding the way genes work amongst individuals and across generations to shape form and function is a common theme for many genetic studies. The recent advances in genetics, genome engineering and DNA sequencing reinforced the notion that genes are not the only players that determine a phenotype. Due to physiological or pathological fluctuations in gene expression, even genetically identical cells can behave and manifest different phenotypes under the same conditions. Here, we discuss mechanisms that can influence or even disrupt the axis between genotype and phenotype; the role of modifier genes, the general concept of genetic redundancy, genetic compensation, the recently described transcriptional adaptation, environmental stressors, and phenotypic plasticity. We furthermore highlight the usage of induced pluripotent stem cells (iPSCs), the generation of isogenic lines through genome engineering, and sequencing technologies can help extract new genetic and epigenetic mechanisms from what is hitherto considered 'noise'.
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Affiliation(s)
- Andrea Rossi
- Genome Engineering and Model Development Lab (GEMD), IUF-Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany
| | - Zacharias Kontarakis
- Genome Engineering and Measurement Laboratory (GEML), Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland
- Functional Genomics Center Zurich of ETH Zurich, University of Zurich, 8093 Zurich, Switzerland
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D’Esposito RJ, Myers CA, Chen AA, Vangaveti S. Challenges with Simulating Modified RNA: Insights into Role and Reciprocity of Experimental and Computational Approaches. Genes (Basel) 2022; 13:540. [PMID: 35328093 PMCID: PMC8949676 DOI: 10.3390/genes13030540] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/15/2022] [Accepted: 03/16/2022] [Indexed: 01/12/2023] Open
Abstract
RNA is critical to a broad spectrum of biological and viral processes. This functional diversity is a result of their dynamic nature; the variety of three-dimensional structures that they can fold into; and a host of post-transcriptional chemical modifications. While there are many experimental techniques to study the structural dynamics of biomolecules, molecular dynamics simulations (MDS) play a significant role in complementing experimental data and providing mechanistic insights. The accuracy of the results obtained from MDS is determined by the underlying physical models i.e., the force-fields, that steer the simulations. Though RNA force-fields have received a lot of attention in the last decade, they still lag compared to their protein counterparts. The chemical diversity imparted by the RNA modifications adds another layer of complexity to an already challenging problem. Insight into the effect of RNA modifications upon RNA folding and dynamics is lacking due to the insufficiency or absence of relevant experimental data. This review provides an overview of the state of MDS of modified RNA, focusing on the challenges in parameterization of RNA modifications as well as insights into relevant reference experiments necessary for their calibration.
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Affiliation(s)
- Rebecca J. D’Esposito
- Department of Chemistry, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA; (R.J.D.); (A.A.C.)
| | - Christopher A. Myers
- Department of Physics, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA;
| | - Alan A. Chen
- Department of Chemistry, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA; (R.J.D.); (A.A.C.)
- The RNA Institute, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA
| | - Sweta Vangaveti
- The RNA Institute, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA
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Jia TZ, Nishikawa S, Fujishima K. Sequencing the Origins of Life. BBA ADVANCES 2022; 2:100049. [PMID: 37082609 PMCID: PMC10074849 DOI: 10.1016/j.bbadva.2022.100049] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/27/2022] [Accepted: 03/02/2022] [Indexed: 01/10/2023] Open
Abstract
One goal of origins of life research is to understand how primitive informational and catalytic biopolymers emerged and evolved. Recently, a number of sequencing techniques have been applied to analysis of replicating and evolving primitive biopolymer systems, providing a sequence-specific and high-resolution view of primitive chemical processes. Here, we review application of sequencing techniques to analysis of synthetic and primitive nucleic acids and polypeptides. This includes next-generation sequencing of primitive polymerization and evolution processes, followed by discussion of other novel biochemical techniques that could contribute to sequence analysis of primitive biopolymer driven chemical systems. Further application of sequencing to origins of life research, perhaps as a life detection technology, could provide insight into the origin and evolution of informational and catalytic biopolymers on early Earth or elsewhere.
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Affiliation(s)
- Tony Z. Jia
- Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
- Blue Marble Space Institute of Science, 600 1st Ave, Floor 1, Seattle, WA 98104, USA
- Corresponding author
| | - Shota Nishikawa
- Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
- School of Life Science and Technology, Tokyo Institute of Technology, Yokohama, Kanagawa 226-8501, Japan
| | - Kosuke Fujishima
- Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
- Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa-shi, Kanagawa 252-0882, Japan
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Liu R, Ou L, Sheng B, Hao P, Li P, Yang X, Xue G, Zhu L, Luo Y, Zhang P, Yang P, Li H, Feng DD. Mixed-weight Neural Bagging for Detecting m6A Modifications in SARS-CoV-2 RNA Sequencing. IEEE Trans Biomed Eng 2022; 69:2557-2568. [PMID: 35148261 PMCID: PMC9599617 DOI: 10.1109/tbme.2022.3150420] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Objective: The m6A modification is the most common ribonucleic acid (RNA) modification, playing a role in prompting the virus's gene mutation and protein structure changes in the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Nanopore single-molecule direct RNA sequencing (DRS) provides data support for RNA modification detection, which can preserve the potential \documentclass[12pt]{minimal}
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}{}$m^6A$\end{document} signature compared to second-generation sequencing. However, due to insufficient DRS data, there is a lack of methods to find m6A RNA modifications in DRS. Our purpose is to identify \documentclass[12pt]{minimal}
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}{}$m^6A$\end{document}. Results: Our MWNB model achieved the highest classification accuracy of 97.85% and AUC of 0.9968. Additionally, we applied the MWNB model to the COVID-19 dataset; the experiment results reveal a strong association with biomedical experiments. Conclusion: Our strategy enables the prediction of \documentclass[12pt]{minimal}
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}{}$m^6A$\end{document} modifications on the SARS-CoV-2. Significance: The Corona Virus Disease 2019 (COVID-19) outbreak has significantly influence, caused by the SARS-CoV-2. An RNA modification called \documentclass[12pt]{minimal}
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}{}$m^6A$\end{document} modifications related to several essential proteins affects proteins’ structure and function. Therefore, finding the location and number of \documentclass[12pt]{minimal}
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}{}$m^6A$\end{document} RNA modifications is crucial for subsequent analysis of the protein expression profile.
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Brothers M, Rine J. Distinguishing between recruitment and spread of silent chromatin structures in Saccharomyces cerevisiae. eLife 2022; 11:75653. [PMID: 35073254 PMCID: PMC8830885 DOI: 10.7554/elife.75653] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 01/21/2022] [Indexed: 11/13/2022] Open
Abstract
The formation of heterochromatin at HML, HMR, and telomeres in Saccharomyces cerevisiae involves two main steps: Recruitment of Sir proteins to silencers and their spread throughout the silenced domain. We developed a method to study these two processes at single base-pair resolution. Using a fusion protein between the heterochromatin protein Sir3 and the non-site-specific bacterial adenine methyltransferase M.EcoGII, we mapped sites of Sir3-chromatin interactions genome-wide using long-read Nanopore sequencing to detect adenines methylated by the fusion protein and by ChIP-seq to map the distribution of Sir3-M.EcoGII. A silencing-deficient mutant of Sir3 lacking its Bromo-Adjacent Homology (BAH) domain, sir3-bah∆, was still recruited to HML, HMR, and telomeres. However, in the absence of the BAH domain, it was unable to spread away from those recruitment sites. Overexpression of Sir3 did not lead to further spreading at HML, HMR, and most telomeres. A few exceptional telomeres, like 6R, exhibited a small amount of Sir3 spreading, suggesting that boundaries at telomeres responded variably to Sir3 overexpression. Finally, by using a temperature-sensitive allele of SIR3 fused to M.ECOGII, we tracked the positions first methylated after induction and found that repression of genes at HML and HMR began before Sir3 occupied the entire locus.
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Affiliation(s)
- Molly Brothers
- Department of Molecular and Cell Biology, University of California, Berkeley
| | - Jasper Rine
- Department of Molecular and Cell Biology, University of California, Berkeley
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Boysen G, Nookaew I. Current and Future Methodology for Quantitation and Site-Specific Mapping the Location of DNA Adducts. TOXICS 2022; 10:toxics10020045. [PMID: 35202232 PMCID: PMC8876591 DOI: 10.3390/toxics10020045] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/12/2022] [Accepted: 01/15/2022] [Indexed: 02/01/2023]
Abstract
Formation of DNA adducts is a key event for a genotoxic mode of action, and their presence is often used as a surrogate for mutation and increased cancer risk. Interest in DNA adducts are twofold: first, to demonstrate exposure, and second, to link DNA adduct location to subsequent mutations or altered gene regulation. Methods have been established to quantitate DNA adducts with high chemical specificity and to visualize the location of DNA adducts, and elegant bio-analytical methods have been devised utilizing enzymes, various chemistries, and molecular biology methods. Traditionally, these highly specific methods cannot be combined, and the results are incomparable. Initially developed for single-molecule DNA sequencing, nanopore-type technologies are expected to enable simultaneous quantitation and location of DNA adducts across the genome. Herein, we briefly summarize the current methodologies for state-of-the-art quantitation of DNA adduct levels and mapping of DNA adducts and describe novel single-molecule DNA sequencing technologies to achieve both measures. Emerging technologies are expected to soon provide a comprehensive picture of the exposome and identify gene regions susceptible to DNA adduct formation.
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Affiliation(s)
- Gunnar Boysen
- Department Environmental and Occupational Health, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- The Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
- Correspondence:
| | - Intawat Nookaew
- The Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
- Department Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
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Iizuka R, Yamazaki H, Uemura S. Zero-mode waveguides and nanopore-based sequencing technologies accelerate single-molecule studies. Biophys Physicobiol 2022; 19:e190032. [DOI: 10.2142/biophysico.bppb-v19.0032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 08/26/2022] [Indexed: 12/01/2022] Open
Affiliation(s)
- Ryo Iizuka
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo
| | - Hirohito Yamazaki
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo
| | - Sotaro Uemura
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo
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Wongsurawat T, Jenjaroenpun P, Nookaew I. Direct Sequencing of RNA and RNA Modification Identification Using Nanopore. Methods Mol Biol 2022; 2477:71-77. [PMID: 35524112 PMCID: PMC10619517 DOI: 10.1007/978-1-0716-2257-5_5] [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] [Indexed: 06/14/2023]
Abstract
Direct RNA sequencing (dRNA-seq) simultaneously enables the detection of RNA modifications and characterization of full-length transcripts. In principle, full-length native RNA molecule is translocated through the nanopore by a motor protein while a sensor measures ionic current shifts. Then, the current shifts are interpreted by an algorithm that turn out to RNA sequence. Currently, the standard protocol of dRNA-seq provided by Oxford Nanopore Technologies (ONT) allows to directly ligate and sequence only polyadenylated RNA (poly(A) RNA). Here, we describe a method of dRNA-seq that can be applied for both poly(A) RNA and non-poly(A) tailed-RNA.
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Affiliation(s)
- Thidathip Wongsurawat
- Division of Bioinformatics and Data Management for Research, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
| | - Piroon Jenjaroenpun
- Division of Bioinformatics and Data Management for Research, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Intawat Nookaew
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
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Onodera A, Kiuchi M, Kokubo K, Nakayama T. Epigenetic regulation of inflammation by CxxC domain‐containing proteins*. Immunol Rev 2022. [DOI: 10.1111/imr.13056
expr 964170082 + 969516512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Affiliation(s)
- Atsushi Onodera
- Department of Immunology Graduate School of Medicine Chiba University Chiba Japan
- Institute for Global Prominent Research Chiba University Chiba Japan
| | - Masahiro Kiuchi
- Department of Immunology Graduate School of Medicine Chiba University Chiba Japan
| | - Kota Kokubo
- Department of Immunology Graduate School of Medicine Chiba University Chiba Japan
| | - Toshinori Nakayama
- Department of Immunology Graduate School of Medicine Chiba University Chiba Japan
- AMED‐CREST, AMED Chiba Japan
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Onodera A, Kiuchi M, Kokubo K, Nakayama T. Epigenetic regulation of inflammation by CxxC domain-containing proteins. Immunol Rev 2021; 305:137-151. [PMID: 34935162 DOI: 10.1111/imr.13056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 11/03/2021] [Accepted: 11/12/2021] [Indexed: 12/14/2022]
Abstract
Epigenetic regulation of gene transcription in the immune system is important for proper control of protective and pathogenic inflammation. Aberrant epigenetic modifications are often associated with dysregulation of the immune cells, including lymphocytes and macrophages, leading to pathogenic inflammation and autoimmune diseases. Two classical epigenetic markers-histone modifications and DNA cytosine methylation, the latter is the 5 position of the cytosine base in the context of CpG dinucleotides-play multiple roles in the immune system. CxxC domain-containing proteins, which basically bind to the non-methylated CpG (i.e., epigenetic "readers"), often function as "writers" of the epigenetic markers via their catalytic domain within the proteins or by interacting with other epigenetic modifiers. We herein report the most recent advances in our understanding of the functions of CxxC domain-containing proteins in the immune system and inflammation, mainly focusing on T cells and macrophages.
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Affiliation(s)
- Atsushi Onodera
- Department of Immunology, Graduate School of Medicine, Chiba University, Chiba, Japan.,Institute for Global Prominent Research, Chiba University, Chiba, Japan
| | - Masahiro Kiuchi
- Department of Immunology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Kota Kokubo
- Department of Immunology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Toshinori Nakayama
- Department of Immunology, Graduate School of Medicine, Chiba University, Chiba, Japan.,AMED-CREST, AMED, Chiba, Japan
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Smirnov A, Battulin N. Concatenation of Transgenic DNA: Random or Orchestrated? Genes (Basel) 2021; 12:genes12121969. [PMID: 34946918 PMCID: PMC8701086 DOI: 10.3390/genes12121969] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 12/08/2021] [Accepted: 12/09/2021] [Indexed: 12/18/2022] Open
Abstract
Generation of transgenic organisms by pronuclear microinjection has become a routine procedure. However, while the process of DNA integration in the genome is well understood, we still do not know much about the recombination between transgene molecules that happens in the first moments after DNA injection. Most of the time, injected molecules are joined together in head-to-tail tandem repeats-the so-called concatemers. In this review, we focused on the possible concatenation mechanisms and how they could be studied with genetic reporters tracking individual copies in concatemers. We also discuss various features of concatemers, including palindromic junctions and repeat-induced gene silencing (RIGS). Finally, we speculate how cooperation of DNA repair pathways creates a multicopy concatenated insert.
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Affiliation(s)
- Alexander Smirnov
- Laboratory of Developmental Genetics, Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia;
| | - Nariman Battulin
- Laboratory of Developmental Genetics, Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia;
- Institute of Genetic Technologies, Novosibirsk State University, 630090 Novosibirsk, Russia
- Correspondence:
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