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Nagy GÁ, Tombácz D, Prazsák I, Csabai Z, Dörmő Á, Gulyás G, Kemenesi G, Tóth GE, Holoubek J, Růžek D, Kakuk B, Boldogkői Z. Exploring the transcriptomic profile of human monkeypox virus via CAGE and native RNA sequencing approaches. mSphere 2024; 9:e0035624. [PMID: 39191390 PMCID: PMC11423596 DOI: 10.1128/msphere.00356-24] [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: 04/26/2024] [Accepted: 07/31/2024] [Indexed: 08/29/2024] Open
Abstract
In this study, we employed short- and long-read sequencing technologies to delineate the transcriptional architecture of the human monkeypox virus and to identify key regulatory elements that govern its gene expression. Specifically, we conducted a transcriptomic analysis to annotate the transcription start sites (TSSs) and transcription end sites (TESs) of the virus by utilizing Cap Analysis of gene expression sequencing on the Illumina platform and direct RNA sequencing on the Oxford Nanopore technology device. Our investigations uncovered significant complexity in the use of alternative TSSs and TESs in viral genes. In this research, we also detected the promoter elements and poly(A) signals associated with the viral genes. Additionally, we identified novel genes in both the left and right variable regions of the viral genome.IMPORTANCEGenerally, gaining insight into how the transcription of a virus is regulated offers insights into the key mechanisms that control its life cycle. The recent outbreak of the human monkeypox virus has underscored the necessity of understanding the basic biology of its causative agent. Our results are pivotal for constructing a comprehensive transcriptomic atlas of the human monkeypox virus, providing valuable resources for future studies.
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Affiliation(s)
- Gergely Ármin Nagy
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Dóra Tombácz
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - István Prazsák
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Zsolt Csabai
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Ákos Dörmő
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Gábor Gulyás
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Gábor Kemenesi
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Institute of Biology, Faculty of Sciences, University of Pécs, Pécs, Hungary
| | - Gábor E Tóth
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Institute of Biology, Faculty of Sciences, University of Pécs, Pécs, Hungary
- Bernhard Nocht Institute for Tropical Medicine, WHO Collaborating Centre for Arbovirus and Hemorrhagic Fever Reference and Research, Hamburg, Germany
| | - Jiří Holoubek
- Veterinary Research Institute, Brno, Czechia
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, Ceske Budejovice, Czechia
- Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czechia
| | - Daniel Růžek
- Veterinary Research Institute, Brno, Czechia
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, Ceske Budejovice, Czechia
- Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czechia
| | - Balázs Kakuk
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Zsolt Boldogkői
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
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Kakuk B, Dörmő Á, Csabai Z, Kemenesi G, Holoubek J, Růžek D, Prazsák I, Dani VÉ, Dénes B, Torma G, Jakab F, Tóth GE, Földes FV, Zana B, Lanszki Z, Harangozó Á, Fülöp Á, Gulyás G, Mizik M, Kiss AA, Tombácz D, Boldogkői Z. In-depth Temporal Transcriptome Profiling of Monkeypox and Host Cells using Nanopore Sequencing. Sci Data 2023; 10:262. [PMID: 37160911 PMCID: PMC10170163 DOI: 10.1038/s41597-023-02149-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 04/12/2023] [Indexed: 05/11/2023] Open
Abstract
The recent human Monkeypox outbreak underlined the importance of studying basic biology of orthopoxviruses. However, the transcriptome of its causative agent has not been investigated before neither with short-, nor with long-read sequencing approaches. This Oxford Nanopore long-read RNA-Sequencing dataset fills this gap. It will enable the in-depth characterization of the transcriptomic architecture of the monkeypox virus, and may even make possible to annotate novel host transcripts. Moreover, our direct cDNA and native RNA sequencing reads will allow the estimation of gene expression changes of both the virus and the host cells during the infection. Overall, our study will lead to a deeper understanding of the alterations caused by the viral infection on a transcriptome level.
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Affiliation(s)
- Balázs Kakuk
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - Ákos Dörmő
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - Zsolt Csabai
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - Gábor Kemenesi
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Institute of Biology, Faculty of Sciences, University of Pécs, Pécs, Hungary
| | - Jiří Holoubek
- Veterinary Research Institute, Hudcova 70, CZ-62100, Brno, Czech Republic
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, Branisovska 31, CZ-37005, Ceske Budejovice, Czech Republic
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice, 753/5, Brno, CZ-62500, Czech Republic
| | - Daniel Růžek
- Veterinary Research Institute, Hudcova 70, CZ-62100, Brno, Czech Republic
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, Branisovska 31, CZ-37005, Ceske Budejovice, Czech Republic
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice, 753/5, Brno, CZ-62500, Czech Republic
| | - István Prazsák
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - Virág Éva Dani
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - Béla Dénes
- Department of Microbiology and Infectious Diseases, University of Veterinary Medicine Budapest, 1143, Budapest, Hungária krt. 23-25, Hungary
| | - Gábor Torma
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - Ferenc Jakab
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Institute of Biology, Faculty of Sciences, University of Pécs, Pécs, Hungary
| | - Gábor E Tóth
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Institute of Biology, Faculty of Sciences, University of Pécs, Pécs, Hungary
| | - Fanni V Földes
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Institute of Biology, Faculty of Sciences, University of Pécs, Pécs, Hungary
| | - Brigitta Zana
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Institute of Biology, Faculty of Sciences, University of Pécs, Pécs, Hungary
| | - Zsófia Lanszki
- National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Institute of Biology, Faculty of Sciences, University of Pécs, Pécs, Hungary
| | - Ákos Harangozó
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - Ádám Fülöp
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - Gábor Gulyás
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - Máté Mizik
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - András Attila Kiss
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - Dóra Tombácz
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary
| | - Zsolt Boldogkői
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4., 6720, Szeged, Hungary.
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Tombácz D, Kakuk B, Torma G, Csabai Z, Gulyás G, Tamás V, Zádori Z, Jefferson VA, Meyer F, Boldogkői Z. In-Depth Temporal Transcriptome Profiling of an Alphaherpesvirus Using Nanopore Sequencing. Viruses 2022; 14:v14061289. [PMID: 35746760 PMCID: PMC9229804 DOI: 10.3390/v14061289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 06/05/2022] [Accepted: 06/08/2022] [Indexed: 12/10/2022] Open
Abstract
In this work, a long-read sequencing (LRS) technique based on the Oxford Nanopore Technology MinION platform was used for quantifying and kinetic characterization of the poly(A) fraction of bovine alphaherpesvirus type 1 (BoHV-1) lytic transcriptome across a 12-h infection period. Amplification-based LRS techniques frequently generate artefactual transcription reads and are biased towards the production of shorter amplicons. To avoid these undesired effects, we applied direct cDNA sequencing, an amplification-free technique. Here, we show that a single promoter can produce multiple transcription start sites whose distribution patterns differ among the viral genes but are similar in the same gene at different timepoints. Our investigations revealed that the circ gene is expressed with immediate–early (IE) kinetics by utilizing a special mechanism based on the use of the promoter of another IE gene (bicp4) for the transcriptional control. Furthermore, we detected an overlap between the initiation of DNA replication and the transcription from the bicp22 gene, which suggests an interaction between the two molecular machineries. This study developed a generally applicable LRS-based method for the time-course characterization of transcriptomes of any organism.
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Affiliation(s)
- Dóra Tombácz
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, 6720 Szeged, Hungary; (D.T.); (B.K.); (G.T.); (Z.C.); (G.G.)
| | - Balázs Kakuk
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, 6720 Szeged, Hungary; (D.T.); (B.K.); (G.T.); (Z.C.); (G.G.)
| | - Gábor Torma
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, 6720 Szeged, Hungary; (D.T.); (B.K.); (G.T.); (Z.C.); (G.G.)
| | - Zsolt Csabai
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, 6720 Szeged, Hungary; (D.T.); (B.K.); (G.T.); (Z.C.); (G.G.)
| | - Gábor Gulyás
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, 6720 Szeged, Hungary; (D.T.); (B.K.); (G.T.); (Z.C.); (G.G.)
| | - Vivien Tamás
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Hungária krt. 21, 1143 Budapest, Hungary; (V.T.); (Z.Z.)
| | - Zoltán Zádori
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Hungária krt. 21, 1143 Budapest, Hungary; (V.T.); (Z.Z.)
| | - Victoria A. Jefferson
- Department of Biochemistry & Molecular Biology, Entomology & Plant Pathology, Mississippi State University, 408 Dorman P.O. Box 9655, 32 Creelman St., Starkville, MS 39762, USA; (V.A.J.); (F.M.)
| | - Florencia Meyer
- Department of Biochemistry & Molecular Biology, Entomology & Plant Pathology, Mississippi State University, 408 Dorman P.O. Box 9655, 32 Creelman St., Starkville, MS 39762, USA; (V.A.J.); (F.M.)
| | - Zsolt Boldogkői
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi u. 4, 6720 Szeged, Hungary; (D.T.); (B.K.); (G.T.); (Z.C.); (G.G.)
- Correspondence:
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Saud Z, Hitchings MD, Butt TM. Nanopore sequencing and de novo assembly of a misidentified Camelpox vaccine reveals putative epigenetic modifications and alternate protein signal peptides. Sci Rep 2021; 11:17758. [PMID: 34493784 PMCID: PMC8423768 DOI: 10.1038/s41598-021-97158-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Accepted: 08/19/2021] [Indexed: 11/25/2022] Open
Abstract
DNA viruses can exploit host cellular epigenetic processes to their advantage; however, the epigenome status of most DNA viruses remains undetermined. Third generation sequencing technologies allow for the identification of modified nucleotides from sequencing experiments without specialized sample preparation, permitting the detection of non-canonical epigenetic modifications that may distinguish viral nucleic acid from that of their host, thus identifying attractive targets for advanced therapeutics and diagnostics. We present a novel nanopore de novo assembly pipeline used to assemble a misidentified Camelpox vaccine. Two confirmed deletions of this vaccine strain in comparison to the closely related Vaccinia virus strain modified vaccinia Ankara make it one of the smallest non-vector derived orthopoxvirus genomes to be reported. Annotation of the assembly revealed a previously unreported signal peptide at the start of protein A38 and several predicted signal peptides that were found to differ from those previously described. Putative epigenetic modifications around various motifs have been identified and the assembly confirmed previous work showing the vaccine genome to most closely resemble that of Vaccinia virus strain Modified Vaccinia Ankara. The pipeline may be used for other DNA viruses, increasing the understanding of DNA virus evolution, virulence, host preference, and epigenomics.
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Affiliation(s)
- Zack Saud
- Department of Biosciences, College of Science, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales, UK.
| | - Matthew D Hitchings
- Swansea University Medical School, Swansea University, Singleton Park, Swansea, Sa2 8PP, Wales, UK
| | - Tariq M Butt
- Department of Biosciences, College of Science, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales, UK
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Brancaccio RN, Robitaille A, Dutta S, Rollison DE, Tommasino M, Gheit T. MinION nanopore sequencing and assembly of a complete human papillomavirus genome. J Virol Methods 2021; 294:114180. [PMID: 33965458 PMCID: PMC8223502 DOI: 10.1016/j.jviromet.2021.114180] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 03/26/2021] [Accepted: 05/03/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND The MinION sequencer belongs to the third generation of sequencing technology that allows for the generation of ultra-long reads, representing a potentially more effective approach to characterize entire viral genome sequences than other time-consuming and low-throughput methodologies. METHODS We report the use of the MinION nanopore sequencer to sequence the full-length genome of human papillomavirus (HPV)-ICB2 (7441 bp), which was previously characterized in our laboratory. Three independent MinION libraries were prepared and sequenced using either three consecutive 12 -h runs (Protocol A) or a single run of 48 h starting from a pool of three barcoded DNA libraries (Protocol B). A fully automated bioinformatics pipeline was developed for the reconstruction of the viral genome. RESULTS Protocols A and B generated 9,354,933 and 3,255,879 reads, respectively. Read length N50 values ranged between 6976 and 7360 nucleotides over the four sequencing runs. Bioinformatics analysis showed that both protocols allowed for the reconstruction of the whole viral genome, with pairwise percentages of identity to HPV-ICB2 of 100 % for protocol A and 99.98 % for protocol B. CONCLUSION Our results show that the use of the MinION nanopore sequencer represents an effective strategy for whole-genome sequencing of HPVs with a minimal error rate.
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Affiliation(s)
- Rosario N Brancaccio
- Early Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France
| | - Alexis Robitaille
- Early Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France
| | - Sankhadeep Dutta
- Chittaranjan National Cancer Institute, Department of Viral Associated Human Cancer, Kolkata, India
| | - Dana E Rollison
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Massimo Tommasino
- Early Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France
| | - Tarik Gheit
- Early Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France.
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Time-Course Transcriptome Profiling of a Poxvirus Using Long-Read Full-Length Assay. Pathogens 2021; 10:pathogens10080919. [PMID: 34451383 PMCID: PMC8398953 DOI: 10.3390/pathogens10080919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/29/2021] [Accepted: 07/12/2021] [Indexed: 11/16/2022] Open
Abstract
Viral transcriptomes that are determined using first- and second-generation sequencing techniques are incomplete. Due to the short read length, these methods are inefficient or fail to distinguish between transcript isoforms, polycistronic RNAs, and transcriptional overlaps and readthroughs. Additionally, these approaches are insensitive for the identification of splice and transcriptional start sites (TSSs) and, in most cases, transcriptional end sites (TESs), especially in transcript isoforms with varying transcript ends, and in multi-spliced transcripts. Long-read sequencing is able to read full-length nucleic acids and can therefore be used to assemble complete transcriptome atlases. Although vaccinia virus (VACV) does not produce spliced RNAs, its transcriptome has a high diversity of TSSs and TESs, and a high degree of polycistronism that leads to enormous complexity. We applied single-molecule, real-time, and nanopore-based sequencing methods to investigate the time-lapse transcriptome patterns of VACV gene expression.
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Kakuk B, Tombácz D, Balázs Z, Moldován N, Csabai Z, Torma G, Megyeri K, Snyder M, Boldogkői Z. Combined nanopore and single-molecule real-time sequencing survey of human betaherpesvirus 5 transcriptome. Sci Rep 2021; 11:14487. [PMID: 34262076 PMCID: PMC8280142 DOI: 10.1038/s41598-021-93593-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 06/28/2021] [Indexed: 02/08/2023] Open
Abstract
Long-read sequencing (LRS), a powerful novel approach, is able to read full-length transcripts and confers a major advantage over the earlier gold standard short-read sequencing in the efficiency of identifying for example polycistronic transcripts and transcript isoforms, including transcript length- and splice variants. In this work, we profile the human cytomegalovirus transcriptome using two third-generation LRS platforms: the Sequel from Pacific BioSciences, and MinION from Oxford Nanopore Technologies. We carried out both cDNA and direct RNA sequencing, and applied the LoRTIA software, developed in our laboratory, for the transcript annotations. This study identified a large number of novel transcript variants, including splice isoforms and transcript start and end site isoforms, as well as putative mRNAs with truncated in-frame ORFs (located within the larger ORFs of the canonical mRNAs), which potentially encode N-terminally truncated polypeptides. Our work also disclosed a highly complex meshwork of transcriptional read-throughs and overlaps.
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Affiliation(s)
- Balázs Kakuk
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary
| | - Dóra Tombácz
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary
- MTA-SZTE Momentum GeMiNI Research Group, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary
- Department of Genetics, School of Medicine, Stanford University, 300 Pasteur Dr, Stanford, CA, USA
| | - Zsolt Balázs
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary
| | - Norbert Moldován
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary
| | - Zsolt Csabai
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary
| | - Gábor Torma
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary
| | - Klára Megyeri
- Department of Medical Microbiology and Immunobiology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary
| | - Michael Snyder
- Department of Genetics, School of Medicine, Stanford University, 300 Pasteur Dr, Stanford, CA, USA
| | - Zsolt Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4, 6720, Szeged, Hungary.
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Maróti Z, Tombácz D, Moldován N, Torma G, Jefferson VA, Csabai Z, Gulyás G, Dörmő Á, Boldogkői M, Kalmár T, Meyer F, Boldogkői Z. Time course profiling of host cell response to herpesvirus infection using nanopore and synthetic long-read transcriptome sequencing. Sci Rep 2021; 11:14219. [PMID: 34244540 PMCID: PMC8270970 DOI: 10.1038/s41598-021-93142-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 06/14/2021] [Indexed: 11/09/2022] Open
Abstract
Third-generation sequencing is able to read full-length transcripts and thus to efficiently identify RNA molecules and transcript isoforms, including transcript length and splice isoforms. In this study, we report the time-course profiling of the effect of bovine alphaherpesvirus type 1 on the gene expression of bovine epithelial cells using direct cDNA sequencing carried out on MinION device of Oxford Nanopore Technologies. These investigations revealed a substantial up- and down-regulatory effect of the virus on several gene networks of the host cells, including those that are associated with antiviral response, as well as with viral transcription and translation. Additionally, we report a large number of novel bovine transcript isoforms identified by nanopore and synthetic long-read sequencing. This study demonstrates that viral infection causes differential expression of host transcript isoforms. We could not detect an increased rate of transcriptional readthroughs as described in another alphaherpesvirus. According to our knowledge, this is the first report on the use of LoopSeq for the analysis of eukaryotic transcriptomes. This is also the first report on the application of nanopore sequencing for the kinetic characterization of cellular transcriptomes. This study also demonstrates the utility of nanopore sequencing for the characterization of dynamic transcriptomes in any organisms.
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Affiliation(s)
- Zoltán Maróti
- Department of Pediatrics, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary
| | - Dóra Tombácz
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary.,MTA-SZTE Momentum GeMiNI Research Group, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary
| | - Norbert Moldován
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary
| | - Gábor Torma
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary
| | - Victoria A Jefferson
- Department of Biochemistry and Molecular Biology, Entomology and Plant Pathology, Mississippi State University, 408 Dorman Hall, 32 Creelman St., Box 9655, Starkville, MS, 39762, USA
| | - Zsolt Csabai
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary
| | - Gábor Gulyás
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary
| | - Ákos Dörmő
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary
| | - Miklós Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary
| | - Tibor Kalmár
- Department of Pediatrics, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary
| | - Florencia Meyer
- Department of Biochemistry and Molecular Biology, Entomology and Plant Pathology, Mississippi State University, 408 Dorman Hall, 32 Creelman St., Box 9655, Starkville, MS, 39762, USA
| | - Zsolt Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., Szeged, 6720, Hungary.
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9
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Maróti Z, Tombácz D, Prazsák I, Moldován N, Csabai Z, Torma G, Balázs Z, Kalmár T, Dénes B, Snyder M, Boldogkői Z. Time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach. BMC Res Notes 2021; 14:239. [PMID: 34167576 PMCID: PMC8223271 DOI: 10.1186/s13104-021-05657-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 06/15/2021] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE In this study, we applied two long-read sequencing (LRS) approaches, including single-molecule real-time and nanopore-based sequencing methods to investigate the time-lapse transcriptome patterns of host gene expression as a response to Vaccinia virus infection. Transcriptomes determined using short-read sequencing approaches are incomplete because these platforms are inefficient or fail to distinguish between polycistronic RNAs, transcript isoforms, transcriptional start sites, as well as transcriptional readthroughs and overlaps. Long-read sequencing is able to read full-length nucleic acids and can therefore be used to assemble complete transcriptome atlases. RESULTS In this work, we identified a number of novel transcripts and transcript isoforms of Chlorocebus sabaeus. Additionally, analysis of the most abundant 768 host transcripts revealed a significant overrepresentation of the class of genes in the "regulation of signaling receptor activity" Gene Ontology annotation as a result of viral infection.
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Affiliation(s)
- Zoltán Maróti
- Department of Pediatrics, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Dóra Tombácz
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - István Prazsák
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Norbert Moldován
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsolt Csabai
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Gábor Torma
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsolt Balázs
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Tibor Kalmár
- Department of Pediatrics, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Béla Dénes
- Veterinary Diagnostic Directorate of the National Food Chain Safety Office, Budapest, Hungary
| | - Michael Snyder
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Zsolt Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
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Tombácz D, Moldován N, Torma G, Nagy T, Hornyák Á, Csabai Z, Gulyás G, Boldogkői M, Jefferson VA, Zádori Z, Meyer F, Boldogkői Z. Dynamic Transcriptome Sequencing of Bovine Alphaherpesvirus Type 1 and Host Cells Carried Out by a Multi-Technique Approach. Front Genet 2021; 12:619056. [PMID: 33897757 PMCID: PMC8059770 DOI: 10.3389/fgene.2021.619056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 03/16/2021] [Indexed: 12/12/2022] Open
Affiliation(s)
- Dóra Tombácz
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Norbert Moldován
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Gábor Torma
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Tibor Nagy
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Ákos Hornyák
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Budapest, Hungary
| | - Zsolt Csabai
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Gábor Gulyás
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Miklós Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Victoria A Jefferson
- Department of Biochemistry & Molecular Biology, Entomology & Plant Pathology, Mississippi State University, Starkville, MS, United States
| | - Zoltán Zádori
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Budapest, Hungary
| | - Florencia Meyer
- Department of Biochemistry & Molecular Biology, Entomology & Plant Pathology, Mississippi State University, Starkville, MS, United States
| | - Zsolt Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
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Torma G, Tombácz D, Csabai Z, Moldován N, Mészáros I, Zádori Z, Boldogkői Z. Combined Short and Long-Read Sequencing Reveals a Complex Transcriptomic Architecture of African Swine Fever Virus. Viruses 2021; 13:v13040579. [PMID: 33808073 PMCID: PMC8103240 DOI: 10.3390/v13040579] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 03/17/2021] [Accepted: 03/28/2021] [Indexed: 11/16/2022] Open
Abstract
African swine fever virus (ASFV) is a large DNA virus belonging to the Asfarviridae family. Despite its agricultural importance, little is known about the fundamental molecular mechanisms of this pathogen. Short-read sequencing (SRS) can produce a huge amount of high-precision sequencing reads for transcriptomic profiling, but it is inefficient for comprehensively annotating transcriptomes. Long-read sequencing (LRS) can overcome some of SRS's limitations, but it also has drawbacks, such as low-coverage and high error rate. The limitations of the two approaches can be surmounted by the combined use of these techniques. In this study, we used Illumina SRS and Oxford Nanopore Technologies LRS platforms with multiple library preparation methods (amplified and direct cDNA sequencings and native RNA sequencing) for constructing the ASFV transcriptomic atlas. This work identified many novel transcripts and transcript isoforms and annotated the precise termini of previously described RNAs. This study identified a novel species of ASFV transcripts, the replication origin-associated RNAs. Additionally, we discovered several nested genes embedded into larger canonical genes. In contrast to the current view that the ASFV transcripts are monocistronic, we detected a significant extent of polycistronism. A multifaceted meshwork of transcriptional overlaps was also discovered.
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Affiliation(s)
- Gábor Torma
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., 6720 Szeged, Hungary; (G.T.); (D.T.); (Z.C.); (N.M.)
| | - Dóra Tombácz
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., 6720 Szeged, Hungary; (G.T.); (D.T.); (Z.C.); (N.M.)
| | - Zsolt Csabai
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., 6720 Szeged, Hungary; (G.T.); (D.T.); (Z.C.); (N.M.)
| | - Norbert Moldován
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., 6720 Szeged, Hungary; (G.T.); (D.T.); (Z.C.); (N.M.)
| | - István Mészáros
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Hungária krt. 21, H-1143 Budapest, Hungary; (I.M.); (Z.Z.)
| | - Zoltán Zádori
- Institute for Veterinary Medical Research, Centre for Agricultural Research, Hungária krt. 21, H-1143 Budapest, Hungary; (I.M.); (Z.Z.)
| | - Zsolt Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., 6720 Szeged, Hungary; (G.T.); (D.T.); (Z.C.); (N.M.)
- Correspondence:
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12
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Time-course profiling of bovine alphaherpesvirus 1.1 transcriptome using multiplatform sequencing. Sci Rep 2020; 10:20496. [PMID: 33235226 PMCID: PMC7686369 DOI: 10.1038/s41598-020-77520-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 11/04/2020] [Indexed: 12/11/2022] Open
Abstract
Long-read sequencing (LRS) has become a standard approach for transcriptome analysis in recent years. Bovine alphaherpesvirus 1 (BoHV-1) is an important pathogen of cattle worldwide. This study reports the profiling of the dynamic lytic transcriptome of BoHV-1 using two long-read sequencing (LRS) techniques, the Oxford Nanopore Technologies MinION, and the LoopSeq synthetic LRS methods, using multiple library preparation protocols. In this work, we annotated viral mRNAs and non-coding transcripts, and a large number of transcript isoforms, including transcription start and end sites, as well as splice variants of BoHV-1. Our analysis demonstrated an extremely complex pattern of transcriptional overlaps.
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Nguyen Quang N, Goudey S, Ségéral E, Mohammad A, Lemoine S, Blugeon C, Versapuech M, Paillart JC, Berlioz-Torrent C, Emiliani S, Gallois-Montbrun S. Dynamic nanopore long-read sequencing analysis of HIV-1 splicing events during the early steps of infection. Retrovirology 2020; 17:25. [PMID: 32807178 PMCID: PMC7433067 DOI: 10.1186/s12977-020-00533-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 08/07/2020] [Indexed: 12/14/2022] Open
Abstract
Background Alternative splicing is a key step in Human Immunodeficiency Virus type 1 (HIV-1) replication that is tightly regulated both temporally and spatially. More than 50 different transcripts can be generated from a single HIV-1 unspliced pre-messenger RNA (pre-mRNA) and a balanced proportion of unspliced and spliced transcripts is critical for the production of infectious virions. Understanding the mechanisms involved in the regulation of viral RNA is therefore of potential therapeutic interest. However, monitoring the regulation of alternative splicing events at a transcriptome-wide level during cell infection is challenging. Here we used the long-read cDNA sequencing developed by Oxford Nanopore Technologies (ONT) to explore in a quantitative manner the complexity of the HIV-1 transcriptome regulation in infected primary CD4+ T cells. Results ONT reads mapping to the viral genome proved sufficiently long to span all possible splice junctions, even distant ones, and to be assigned to a total of 150 exon combinations. Fifty-three viral RNA isoforms, including 14 new ones were further considered for quantification. Relative levels of viral RNAs determined by ONT sequencing showed a high degree of reproducibility, compared favourably to those produced in previous reports and highly correlated with quantitative PCR (qPCR) data. To get further insights into alternative splicing regulation, we then compiled quantifications of splice site (SS) usage and transcript levels to build “splice trees”, a quantitative representation of the cascade of events leading to the different viral isoforms. This approach allowed visualizing the complete rewiring of SS usages upon perturbation of SS D2 and its impact on viral isoform levels. Furthermore, we produced the first dynamic picture of the cascade of events occurring between 12 and 24 h of viral infection. In particular, our data highlighted the importance of non-coding exons in viral RNA transcriptome regulation. Conclusion ONT sequencing is a convenient and reliable strategy that enabled us to grasp the dynamic of the early splicing events modulating the viral RNA landscape in HIV-1 infected cells.
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Affiliation(s)
- Nam Nguyen Quang
- Institut Cochin, INSERM, CNRS, Université de Paris, 75014, Paris, France
| | - Sophie Goudey
- Institut Cochin, INSERM, CNRS, Université de Paris, 75014, Paris, France
| | - Emmanuel Ségéral
- Institut Cochin, INSERM, CNRS, Université de Paris, 75014, Paris, France
| | - Ammara Mohammad
- Genomic Facility, Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, 75005, Paris, France
| | - Sophie Lemoine
- Genomic Facility, Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, 75005, Paris, France
| | - Corinne Blugeon
- Genomic Facility, Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, 75005, Paris, France
| | - Margaux Versapuech
- Institut Cochin, INSERM, CNRS, Université de Paris, 75014, Paris, France
| | - Jean-Christophe Paillart
- CNRS, Architecture et Réactivité de l'ARN, UPR 9002, IBMC, Université de Strasbourg, Strasbourg, France
| | | | - Stéphane Emiliani
- Institut Cochin, INSERM, CNRS, Université de Paris, 75014, Paris, France.
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Long-read assays shed new light on the transcriptome complexity of a viral pathogen. Sci Rep 2020; 10:13822. [PMID: 32796917 PMCID: PMC7427789 DOI: 10.1038/s41598-020-70794-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 08/03/2020] [Indexed: 12/21/2022] Open
Abstract
Characterization of global transcriptomes using conventional short-read sequencing is challenging due to the insensitivity of these platforms to transcripts isoforms, multigenic RNA molecules, and transcriptional overlaps. Long-read sequencing (LRS) can overcome these limitations by reading full-length transcripts. Employment of these technologies has led to the redefinition of transcriptional complexities in reported organisms. In this study, we applied LRS platforms from Pacific Biosciences and Oxford Nanopore Technologies to profile the vaccinia virus (VACV) transcriptome. We performed cDNA and direct RNA sequencing analyses and revealed an extremely complex transcriptional landscape of this virus. In particular, VACV genes produce large numbers of transcript isoforms that vary in their start and termination sites. A significant fraction of VACV transcripts start or end within coding regions of neighbouring genes. This study provides new insights into the transcriptomic profile of this viral pathogen.
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15
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Meta-analytic approach for transcriptome profiling of herpes simplex virus type 1. Sci Data 2020; 7:223. [PMID: 32647284 PMCID: PMC7347551 DOI: 10.1038/s41597-020-0558-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 06/09/2020] [Indexed: 11/09/2022] Open
Abstract
In this meta-analysis, we re-analysed and compared herpes simplex virus type 1 transcriptomic data generated by eight studies using various short- and long-read sequencing techniques and different library preparation methods. We identified a large number of novel mRNAs, non-coding RNAs and transcript isoforms, and validated many previously published transcripts. Here, we present the most complete HSV-1 transcriptome to date. Furthermore, we also demonstrate that various sequencing techniques, including both cDNA and direct RNA sequencing approaches, are error-prone, which can be circumvented by using integrated approaches. This work draws attention to the need for using multiple sequencing approaches and meta-analyses in transcriptome profiling studies to obtain reliable results.
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Depledge DP, Wilson AC. Using Direct RNA Nanopore Sequencing to Deconvolute Viral Transcriptomes. CURRENT PROTOCOLS IN MICROBIOLOGY 2020; 57:e99. [PMID: 32255550 PMCID: PMC7187905 DOI: 10.1002/cpmc.99] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The genomes of DNA viruses encode deceptively complex transcriptomes evolved to maximize coding potential within the confines of a relatively small genome. Defining the full range of viral RNAs produced during an infection is key to understanding the viral replication cycle and its interactions with the host cell. Traditional short-read (Illumina) sequencing approaches are problematic in this setting due to the difficulty of assigning short reads to individual RNAs in regions of transcript overlap and to the biases introduced by the required recoding and amplification steps. Additionally, different methodologies may be required to analyze the 5' and 3' ends of RNAs, which increases both cost and effort. The advent of long-read nanopore sequencing simplifies this approach by providing a single assay that captures and sequences full length RNAs, either in cDNA or native RNA form. The latter is particularly appealing as it reduces known recoding biases whilst allowing more advanced analyses such as estimation of poly(A) tail length and the detection of RNA modifications including N6 -methyladenosine. Using herpes simplex virus (HSV)-infected primary fibroblasts as a template, we provide a step-by-step guide to the production of direct RNA sequencing libraries suitable for sequencing using Oxford Nanopore Technologies platforms and provide a simple computational approach to deriving a high-quality annotation of the HSV transcriptome from the resulting sequencing data. © 2020 by John Wiley & Sons, Inc. Basic Protocol 1: Productive infection of primary fibroblasts with herpes simplex virus Support Protocol: Cell passage and plating of primary fibroblasts Basic Protocol 2: Preparation and sequencing of dRNA-seq libraries from virus-infected cells Basic Protocol 3: Processing, alignment, and analysis of dRNA-seq datasets.
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Affiliation(s)
- Daniel P Depledge
- Department of Medicine, New York University School of Medicine, New York, New York
| | - Angus C Wilson
- Department of Microbiology, New York University School of Medicine, New York, New York
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Furlan M, Tanaka I, Leonardi T, de Pretis S, Pelizzola M. Direct RNA Sequencing for the Study of Synthesis, Processing, and Degradation of Modified Transcripts. Front Genet 2020; 11:394. [PMID: 32425981 PMCID: PMC7212349 DOI: 10.3389/fgene.2020.00394] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 03/30/2020] [Indexed: 01/24/2023] Open
Abstract
It has been known for a few decades that transcripts can be marked by dozens of different modifications. Yet, we are just at the beginning of charting these marks and understanding their functional impact. High-quality methods were developed for the profiling of some of these marks, and approaches to finely study their impact on specific phases of the RNA life-cycle are available, including RNA metabolic labeling. Thanks to these improvements, the most abundant marks, including N6-methyladenosine, are emerging as important determinants of the fate of marked RNAs. However, we still lack approaches to directly study how the set of marks for a given RNA molecule shape its fate. In this perspective, we first review current leading approaches in the field. Then, we propose an experimental and computational setup, based on direct RNA sequencing and mathematical modeling, to decipher the functional consequences of RNA modifications on the fate of individual RNA molecules and isoforms.
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Affiliation(s)
- Mattia Furlan
- Center for Genomic Science, Istituto Italiano di Tecnologia, Milan, Italy
- Department of Physics, National Institute of Nuclear Physics, University of Turin, Turin, Italy
| | - Iris Tanaka
- Center for Genomic Science, Istituto Italiano di Tecnologia, Milan, Italy
| | - Tommaso Leonardi
- Center for Genomic Science, Istituto Italiano di Tecnologia, Milan, Italy
| | - Stefano de Pretis
- Center for Genomic Science, Istituto Italiano di Tecnologia, Milan, Italy
| | - Mattia Pelizzola
- Center for Genomic Science, Istituto Italiano di Tecnologia, Milan, Italy
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Tombácz D, Moldován N, Balázs Z, Gulyás G, Csabai Z, Boldogkői M, Snyder M, Boldogkői Z. Multiple Long-Read Sequencing Survey of Herpes Simplex Virus Dynamic Transcriptome. Front Genet 2019; 10:834. [PMID: 31608102 PMCID: PMC6769088 DOI: 10.3389/fgene.2019.00834] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 08/13/2019] [Indexed: 12/12/2022] Open
Abstract
Long-read sequencing (LRS) has become increasingly important in RNA research due to its strength in resolving complex transcriptomic architectures. In this regard, currently two LRS platforms have demonstrated adequate performance: the Single Molecule Real-Time Sequencing by Pacific Biosciences (PacBio) and the nanopore sequencing by Oxford Nanopore Technologies (ONT). Even though these techniques produce lower coverage and are more error prone than short-read sequencing, they continue to be more successful in identifying polycistronic RNAs, transcript isoforms including splice and transcript end variants, as well as transcript overlaps. Recent reports have successfully applied LRS for the investigation of the transcriptome of viruses belonging to various families. These studies have substantially increased the number of previously known viral RNA molecules. In this work, we used the Sequel and MinION technique from PacBio and ONT, respectively, to characterize the lytic transcriptome of the herpes simplex virus type 1 (HSV-1). In most samples, we analyzed the poly(A) fraction of the transcriptome, but we also performed random oligonucleotide-based sequencing. Besides cDNA sequencing, we also carried out native RNA sequencing. Our investigations identified more than 2,300 previously undetected transcripts, including coding, and non-coding RNAs, multi-splice transcripts, as well as polycistronic and complex transcripts. Furthermore, we found previously unsubstantiated transcriptional start sites, polyadenylation sites, and splice sites. A large number of novel transcriptional overlaps were also detected. Random-primed sequencing revealed that each convergent gene pair produces non-polyadenylated read-through RNAs overlapping the partner genes. Furthermore, we identified novel replication-associated transcripts overlapping the HSV-1 replication origins, and novel LAT variants with very long 5' regions, which are co-terminal with the LAT-0.7kb transcript. Overall, our results demonstrated that the HSV-1 transcripts form an extremely complex pattern of overlaps, and that entire viral genome is transcriptionally active. In most viral genes, if not in all, both DNA strands are expressed.
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Affiliation(s)
- Dóra Tombácz
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Norbert Moldován
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsolt Balázs
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Gábor Gulyás
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsolt Csabai
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Miklós Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Michael Snyder
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, United States
| | - Zsolt Boldogkői
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, Hungary
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Boldogkői Z, Moldován N, Balázs Z, Snyder M, Tombácz D. Long-Read Sequencing – A Powerful Tool in Viral Transcriptome Research. Trends Microbiol 2019; 27:578-592. [DOI: 10.1016/j.tim.2019.01.010] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 01/21/2019] [Accepted: 01/30/2019] [Indexed: 12/16/2022]
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Shabardina V, Kischka T, Manske F, Grundmann N, Frith MC, Suzuki Y, Makałowski W. NanoPipe-a web server for nanopore MinION sequencing data analysis. Gigascience 2019; 8:giy169. [PMID: 30689855 PMCID: PMC6377397 DOI: 10.1093/gigascience/giy169] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 12/10/2018] [Accepted: 12/23/2018] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The fast-moving progress of the third-generation long-read sequencing technologies will soon bring the biological and medical sciences to a new era of research. Altogether, the technique and experimental procedures are becoming more straightforward and available to biologists from diverse fields, even without any profound experience in DNA sequencing. Thus, the introduction of the MinION device by Oxford Nanopore Technologies promises to "bring sequencing technology to the masses" and also allows quick and operative analysis in field studies. However, the convenience of this sequencing technology dramatically contrasts with the available analysis tools, which may significantly reduce enthusiasm of a "regular" user. To really bring the sequencing technology to every biologist, we need a set of user-friendly tools that can perform a powerful analysis in an automatic manner. FINDINGS NanoPipe was developed in consideration of the specifics of the MinION sequencing technologies, providing accordingly adjusted alignment parameters. The range of the target species/sequences for the alignment is not limited, and the descriptive usage page of NanoPipe helps a user to succeed with NanoPipe analysis. The results contain alignment statistics, consensus sequence, polymorphisms data, and visualization of the alignment. Several test cases are used to demonstrate the efficiency of the tool. CONCLUSIONS Freely available NanoPipe software allows effortless and reliable analysis of MinION sequencing data for experienced bioinformaticians, as well for wet-lab biologists with minimum bioinformatics knowledge. Moreover, for the latter group, we describe the basic algorithm necessary for MinION sequencing analysis from the first to last step.
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Affiliation(s)
- Victoria Shabardina
- Institue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany
| | - Tabea Kischka
- Institue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany
| | - Felix Manske
- Institue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany
| | - Norbert Grundmann
- Institue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany
| | - Martin C Frith
- Artificial Intelligence Research Center, AIST, 2-3-26, Aomi, Koto-ku, Tokyo, 135-0064, Japan
- Department of Computational Biology and Medical Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan
- AIST-Waseda University Computational Bio Big Data Open Innovation Laboratory, 3-4-1 Ookubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Yutaka Suzuki
- Laboratory of Systems Genomics, Department of Computational Biology and Medical Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan
| | - Wojciech Makałowski
- Institue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany
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Tombácz D, Prazsák I, Szucs A, Dénes B, Snyder M, Boldogkoi Z. Dynamic transcriptome profiling dataset of vaccinia virus obtained from long-read sequencing techniques. Gigascience 2018; 7:5202462. [PMID: 30476066 PMCID: PMC6290886 DOI: 10.1093/gigascience/giy139] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 11/12/2018] [Indexed: 12/21/2022] Open
Abstract
Background Poxviruses are large DNA viruses that infect humans and animals. Vaccinia virus (VACV) has been applied as a live vaccine for immunization against smallpox, which was eradicated by 1980 as a result of worldwide vaccination. VACV is the prototype of poxviruses in the investigation of the molecular pathogenesis of the virus. Short-read sequencing methods have revolutionized transcriptomics; however, they are not efficient in distinguishing between the RNA isoforms and transcript overlaps. Long-read sequencing (LRS) is much better suited to solve these problems and also allow direct RNA sequencing. Despite the scientific relevance of VACV, no LRS data have been generated for the viral transcriptome to date. Findings For the deep characterization of the VACV RNA profile, various LRS platforms and library preparation approaches were applied. The raw reads were mapped to the VACV reference genome and also to the host (Chlorocebus sabaeus) genome. In this study, we applied the Pacific Biosciences RSII and Sequel platforms, which altogether resulted in 937,531 mapped reads of inserts (1.42 Gb), while we obtained 2,160,348 aligned reads (1.75 Gb) from the different library preparation methods using the MinION device from Oxford Nanopore Technologies. Conclusions By applying cutting-edge technologies, we were able to generate a large dataset that can serve as a valuable resource for the investigation of the dynamic VACV transcriptome, the virus-host interactions, and RNA base modifications. These data can provide useful information for novel gene annotations in the VACV genome. Our dataset can also be used to analyze the currently available LRS platforms, library preparation methods, and bioinformatics pipelines.
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Affiliation(s)
- Dóra Tombácz
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., 6720 Szeged, Hungary
| | - István Prazsák
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., 6720 Szeged, Hungary
| | - Attila Szucs
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., 6720 Szeged, Hungary
| | - Béla Dénes
- Veterinary Diagnostic Directorate of the National Food Chain Safety Office, Tábornok u. 2., 1143 Budapest, Hungary
| | - Michael Snyder
- Department of Genetics, School of Medicine, Stanford University, 300 Pasteur Dr, Stanford, California, USA
| | - Zsolt Boldogkoi
- Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., 6720 Szeged, Hungary
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