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Deregulation of host gene expression by HPV16 E8^E2 knock-out genomes is due to increased productive replication. Virology 2023; 581:39-47. [PMID: 36870121 DOI: 10.1016/j.virol.2023.02.007] [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: 12/20/2022] [Revised: 02/06/2023] [Accepted: 02/13/2023] [Indexed: 02/24/2023]
Abstract
Productive replication of human papillomaviruses (HPV) only takes place in differentiating keratinocytes. The HPV16 E8^E2 protein acts as a repressor of viral gene expression and genome replication and HPV16 E8^E2 knock-out (E8-) genomes display enhanced viral late protein expression in differentiated cells. Global transcriptome analysis of differentiated HPV16 wild-type and E8-cell lines revealed a small number of differentially expressed genes which are not related to cell cycle, DNA metabolism or keratinocyte differentiation. The analysis of selected genes suggested that deregulation requires cell differentiation and positively correlated with the expression of viral late, not early transcripts. Consistent with this, the additional knock-out of the viral E4 and E5 genes, which are known to enhance productive replication, attenuated the deregulation of these host cell genes. In summary, these data reveal that productive HPV16 replication modulates host cell transcription.
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Kuehner F, Stubenrauch F. Functions of Papillomavirus E8^E2 Proteins in Tissue Culture and In Vivo. Viruses 2022; 14:v14050953. [PMID: 35632695 PMCID: PMC9143700 DOI: 10.3390/v14050953] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/25/2022] [Accepted: 04/29/2022] [Indexed: 12/04/2022] Open
Abstract
Papillomaviruses (PV) replicate in undifferentiated keratinocytes at low levels and to high levels in differentiated cells. The restricted replication in undifferentiated cells is mainly due to the expression of the conserved viral E8^E2 repressor protein, a fusion protein consisting of E8 and the hinge, DNA-binding, and dimerization domain of E2. E8^E2 binds to viral genomes and represses viral transcription and genome replication by recruiting cellular NCoR/SMRT-HDAC3 corepressor complexes. Tissue culture experiments have revealed that E8^E2 modulates long-term maintenance of extrachromosomal genomes, productive replication, and immortalization properties in a virus type-dependent manner. Furthermore, in vivo experiments have indicated that Mus musculus PV1 E8^E2 is required for tumor formation in immune-deficient mice. In summary, E8^E2 is a crucial inhibitor whose levels might determine the outcome of PV infections.
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Computational methods for inferring location and genealogy of overlapping genes in virus genomes: approaches and applications. Curr Opin Virol 2021; 52:1-8. [PMID: 34798370 PMCID: PMC8594276 DOI: 10.1016/j.coviro.2021.10.009] [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: 09/04/2021] [Revised: 10/21/2021] [Accepted: 10/22/2021] [Indexed: 12/02/2022]
Abstract
Viruses may evolve to increase the amount of encoded genetic information by means of overlapping genes, which utilize several reading frames. Such overlapping genes may be especially impactful for genomes of small size, often serving a source of novel accessory proteins, some of which play a crucial role in viral pathogenicity or in promoting the systemic spread of virus. Diverse genome-based metrics were proposed to facilitate recognition of overlapping genes that otherwise may be overlooked during genome annotation. They can detect the atypical codon bias associated with the overlap (e.g. a statistically significant reduction in variability at synonymous sites) or other sequence-composition features peculiar to overlapping genes. In this review, I compare nine computational methods, discuss their strengths and limitations, and survey how they were applied to detect candidate overlapping genes in the genome of SARS-CoV-2, the etiological agent of COVID-19 pandemic.
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EXPRESSION OF E8^E2 IS REQUIRED FOR WART FORMATION BY MOUSE PAPILLOMAVIRUS 1 IN VIVO. J Virol 2021; 95:JVI.01930-20. [PMID: 33472931 PMCID: PMC8103706 DOI: 10.1128/jvi.01930-20] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Human papillomavirus (HPV) E1 and E2 proteins activate genome replication. E2 also modulates viral gene expression and is involved in the segregation of viral genomes. In addition to full length E2, almost all PV share the ability to encode an E8^E2 protein, that is a fusion of E8 with the C-terminal half of E2 which mediates specific DNA-binding and dimerization. HPV E8^E2 acts as a repressor of viral gene expression and genome replication. To analyze the function of E8^E2 in vivo, we used the Mus musculus PV1 (MmuPV1)-mouse model system. Characterization of the MmuPV1 E8^E2 protein revealed that it inhibits transcription from viral promoters in the absence and presence of E1 and E2 proteins and that this is partially dependent upon the E8 domain. MmuPV1 genomes, in which the E8 ATG start codon was disrupted (E8-), displayed a 10- to 25-fold increase in viral gene expression compared to wt genomes in cultured normal mouse tail keratinocytes in short-term experiments. This suggests that the function and mechanism of E8^E2 is conserved between MmuPV1 and HPVs. Surprisingly, challenge of athymic nude Foxn1nu/nu mice with MmuPV1 E8- genomes did not induce warts on the tail in contrast to wt MmuPV1. Furthermore, viral gene expression was completely absent at E8- MmuPV1 sites 20 - 22 weeks after DNA challenge on the tail or quasivirus challenge in the vaginal vault. This reveals that expression of E8^E2 is necessary to form tumors in vivo and that this is independent from the presence of T-cells.IMPORTANCE HPV encode an E8^E2 protein which acts as repressors of viral gene expression and genome replication. In cultured normal keratinocytes, E8^E2 is essential for long-term episomal maintenance of HPV31 genomes, but not for HPV16. To understand E8^E2's role in vivo, the Mus musculus PV1 (MmuPV1)-mouse model system was used. This revealed that E8^E2's function as a repressor of viral gene expression is conserved. Surprisingly, MmuPV1 E8^E2 knock out genomes did not induce warts in T-cell deficient mice. This shows for the first time that expression of E8^E2 is necessary for tumor formation in vivo independently of T cell immunity. This indicates that E8^E2 could be an interesting target for anti-viral therapy in vivo.
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Pace J, Youens-Clark K, Freeman C, Hurwitz B, Van Doorslaer K. PuMA: A papillomavirus genome annotation tool. Virus Evol 2020; 6:veaa068. [PMID: 33381306 PMCID: PMC7751161 DOI: 10.1093/ve/veaa068] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
High-throughput sequencing technologies provide unprecedented power to identify novel viruses from a wide variety of (environmental) samples. The field of ‘viral metagenomics’ has dramatically expanded our understanding of viral diversity. Viral metagenomic approaches imply that many novel viruses will not be described by researchers who are experts on (the genomic organization of) that virus family. We have developed the papillomavirus annotation tool (PuMA) to provide researchers with a convenient and reproducible method to annotate and report novel papillomaviruses. PuMA currently correctly annotates 99% of the papillomavirus genes when benchmarked against the 655 reference genomes in the papillomavirus episteme. Compared to another viral annotation pipeline, PuMA annotates more viral features while being more accurate. To demonstrate its general applicability, we also developed a preliminary version of PuMA that can annotate polyomaviruses. PuMA is available on GitHub (https://github.com/KVD-lab/puma) and through the iMicrobe online environment (https://www.imicrobe.us/#/apps/puma).
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Affiliation(s)
- Josh Pace
- School of Animal and Comparative Biomedical Sciences, University of Arizona, 1200 E. University Blvd. Tucson, AZ 85721-0073, USA
| | - Ken Youens-Clark
- Department of Biosystems Engineering, University of Arizona, 1200 E. University Blvd. Tucson, AZ 85721-0073, USA
| | - Cordell Freeman
- School of Animal and Comparative Biomedical Sciences, University of Arizona, 1200 E. University Blvd. Tucson, AZ 85721-0073, USA
| | - Bonnie Hurwitz
- Department of Biosystems Engineering, University of Arizona, 1200 E. University Blvd. Tucson, AZ 85721-0073, USA
| | - Koenraad Van Doorslaer
- School of Animal and Comparative Biomedical Sciences, University of Arizona, 1200 E. University Blvd. Tucson, AZ 85721-0073, USA
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Whole Genomic Analysis and Comparison of Two Canine Papillomavirus Type 9 Strains in Malignant and Benign Skin Lesions. Viruses 2020; 12:v12070736. [PMID: 32650357 PMCID: PMC7412457 DOI: 10.3390/v12070736] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 07/01/2020] [Accepted: 07/06/2020] [Indexed: 12/26/2022] Open
Abstract
Papillomaviruses (PVs) usually cause benign proliferative lesions in the stratified epithelium of various animal species. However, some high-risk types of PVs have been proven to lead to malignant transformations. In dogs, several canine papillomaviruses (CPVs) have been identified in malignant lesions and are suggested as one of the risk factors for the development of squamous cell carcinomas (SCCs). In the present study, the full genomes of two CPV9 strains from recurrent SCCs of Dog 1 and skin viral papilloma (viral plaque) of Dog 2 were sequenced. Alignment of the two CPV9 sequences with the genome of the reference CPV9 strain (accession no. JF800656.1) derived from a solitary pigmented plaque was performed. Compared with the reference strain, a 27 bp in-frame insertion in the E1 gene was identified in both CPV9 strains in this study. In comparison with the CPV9 strains derived from benign lesions, the CPV9 from the SCCs of Dog 1 exhibited a 328 bp deletion at the 3′ end of the E2 and spacer sequence, which encoded a truncated deduced E2 protein and a chimeric E8^E2 protein. However, there was no difference in the mRNA expression levels of viral oncoproteins of E6 and E7 between the two CPV9 cases, suggesting that the oncogenesis of CPV9 for malignant transformation might be different from that of human papillomaviruses. The roles of E2 and E8^E2 deleted CPV9 in the oncogenesis of benign and malignant lesions should be further investigated.
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Hufsky F, Ibrahim B, Modha S, Clokie MRJ, Deinhardt-Emmer S, Dutilh BE, Lycett S, Simmonds P, Thiel V, Abroi A, Adriaenssens EM, Escalera-Zamudio M, Kelly JN, Lamkiewicz K, Lu L, Susat J, Sicheritz T, Robertson DL, Marz M. The Third Annual Meeting of the European Virus Bioinformatics Center. Viruses 2019; 11:E420. [PMID: 31060321 PMCID: PMC6563321 DOI: 10.3390/v11050420] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Accepted: 04/29/2019] [Indexed: 01/21/2023] Open
Abstract
The Third Annual Meeting of the European Virus Bioinformatics Center (EVBC) took place in Glasgow, United Kingdom, 28-29 March 2019. Virus bioinformatics has become central to virology research, and advances in bioinformatics have led to improved approaches to investigate viral infections and outbreaks, being successfully used to detect, control, and treat infections of humans and animals. This active field of research has attracted approximately 110 experts in virology and bioinformatics/computational biology from Europe and other parts of the world to attend the two-day meeting in Glasgow to increase scientific exchange between laboratory- and computer-based researchers. The meeting was held at the McIntyre Building of the University of Glasgow; a perfect location, as it was originally built to be a place for "rubbing your brains with those of other people", as Rector Stanley Baldwin described it. The goal of the meeting was to provide a meaningful and interactive scientific environment to promote discussion and collaboration and to inspire and suggest new research directions and questions. The meeting featured eight invited and twelve contributed talks, on the four main topics: (1) systems virology, (2) virus-host interactions and the virome, (3) virus classification and evolution and (4) epidemiology, surveillance and evolution. Further, the meeting featured 34 oral poster presentations, all of which focused on specific areas of virus bioinformatics. This report summarizes the main research findings and highlights presented at the meeting.
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Affiliation(s)
- Franziska Hufsky
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany.
| | - Bashar Ibrahim
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Chair of Bioinformatics, Matthias-Schleiden-Institute, Friedrich Schiller University Jena, 07743 Jena, Germany.
| | - Sejal Modha
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Martha R J Clokie
- Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK.
| | - Stefanie Deinhardt-Emmer
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Institute of Medical Microbiology, Jena University Hospital, Am Klinikum 1, D-07747 Jena, Germany.
- Section for Experimental Virology, Jena University Hospital, Hans-Knöll-Straße 2, D-07745 Jena, Germany.
- Center for Sepsis Control and Care, Jena University Hospital, D-07747 Jena, Germany.
| | - Bas E Dutilh
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Theoretical Biology and Bioinformatics, Science4Life, Utrecht University, Padualaan 8, Utrecht 3584 CH, The Netherlands.
- Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 26, Nijmegen 6525 GA, The Netherlands.
| | - Samantha Lycett
- Infection & Immunity Division, Roslin Institute, University of Edinburgh, Midlothian EH25 9RG, UK.
| | - Peter Simmonds
- Nuffield Department of Medicine, University of Oxford, Peter Medawar Building, South Parks Road, Oxford OX1 3SY, UK.
| | - Volker Thiel
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Institute of Virology and Immunology, 3012 Bern, Switzerland.
- Department of Infectious Diseases and Pathobiology, Vetsuisse Facility, University of Bern, 3012 Bern, Switzerland.
| | - Aare Abroi
- University of Tartu, Institute of Technology, 50411 Tartu, Estonia.
| | - Evelien M Adriaenssens
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK.
| | | | - Jenna Nicole Kelly
- Institute of Virology and Immunology, 3012 Bern, Switzerland.
- Department of Infectious Diseases and Pathobiology, Vetsuisse Facility, University of Bern, 3012 Bern, Switzerland.
| | - Kevin Lamkiewicz
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany.
| | - Lu Lu
- Usher Institute of Population Health Sciences & Informatics, Ashworth Laboratories, Kings Buildings, University of Edinburgh, Charlotte Auerbach Road, Edinburgh EH9 3FL, UK.
| | - Julian Susat
- Institute of Clinical Molecular Biology, Kiel University, 24118 Kiel, Germany.
| | - Thomas Sicheritz
- Natural History Museum of Denmark, University of Copenhagen, DK-1123 Copenhagen, Denmark.
| | - David L Robertson
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Manja Marz
- European Virus Bioinformatics Center, 07743 Jena, Germany.
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany.
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Puustusmaa M, Abroi A. cRegions-a tool for detecting conserved cis-elements in multiple sequence alignment of diverged coding sequences. PeerJ 2019; 6:e6176. [PMID: 30647994 PMCID: PMC6330207 DOI: 10.7717/peerj.6176] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 11/27/2018] [Indexed: 12/31/2022] Open
Abstract
Identifying cis-acting elements and understanding regulatory mechanisms of a gene is crucial to fully understand the molecular biology of an organism. In general, it is difficult to identify previously uncharacterised cis-acting elements with an unknown consensus sequence. The task is especially problematic with viruses containing regions of limited or no similarity to other previously characterised sequences. Fortunately, the fast increase in the number of sequenced genomes allows us to detect some of these elusive cis-elements. In this work, we introduce a web-based tool called cRegions. It was developed to identify regions within a protein-coding sequence where the conservation in the amino acid sequence is caused by the conservation in the nucleotide sequence. The cRegion can be the first step in discovering novel cis-acting sequences from diverged protein-coding genes. The results can be used as a basis for future experimental analysis. We applied cRegions on the non-structural and structural polyproteins of alphaviruses as an example and successfully detected all known cis-acting elements. In this publication and in previous work, we have shown that cRegions is able to detect a wide variety of functional elements in DNA and RNA viruses. These functional elements include splice sites, stem-loops, overlapping reading frames, internal promoters, ribosome frameshifting signals and other embedded elements with yet unknown function. The cRegions web tool is available at http://bioinfo.ut.ee/cRegions/.
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Affiliation(s)
- Mikk Puustusmaa
- Department of Bioinformatics, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Aare Abroi
- Institute of Technology, University of Tartu, Tartu, Estonia
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Xue XY, Majerciak V, Uberoi A, Kim BH, Gotte D, Chen X, Cam M, Lambert PF, Zheng ZM. The full transcription map of mouse papillomavirus type 1 (MmuPV1) in mouse wart tissues. PLoS Pathog 2017; 13:e1006715. [PMID: 29176795 PMCID: PMC5720830 DOI: 10.1371/journal.ppat.1006715] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 12/07/2017] [Accepted: 10/25/2017] [Indexed: 12/17/2022] Open
Abstract
Mouse papillomavirus type 1 (MmuPV1) provides, for the first time, the opportunity to study infection and pathogenesis of papillomaviruses in the context of laboratory mice. In this report, we define the transcriptome of MmuPV1 genome present in papillomas arising in experimentally infected mice using a combination of RNA-seq, PacBio Iso-seq, 5’ RACE, 3’ RACE, primer-walking RT-PCR, RNase protection, Northern blot and in situ hybridization analyses. We demonstrate that the MmuPV1 genome is transcribed unidirectionally from five major promoters (P) or transcription start sites (TSS) and polyadenylates its transcripts at two major polyadenylation (pA) sites. We designate the P7503, P360 and P859 as “early” promoters because they give rise to transcripts mostly utilizing the polyadenylation signal at nt 3844 and therefore can only encode early genes, and P7107 and P533 as “late” promoters because they give rise to transcripts utilizing polyadenylation signals at either nt 3844 or nt 7047, the latter being able to encode late, capsid proteins. MmuPV1 genome contains five splice donor sites and three acceptor sites that produce thirty-six RNA isoforms deduced to express seven predicted early gene products (E6, E7, E1, E1^M1, E1^M2, E2 and E8^E2) and three predicted late gene products (E1^E4, L2 and L1). The majority of the viral early transcripts are spliced once from nt 757 to 3139, while viral late transcripts, which are predicted to encode L1, are spliced twice, first from nt 7243 to either nt 3139 (P7107) or nt 757 to 3139 (P533) and second from nt 3431 to nt 5372. Thirteen of these viral transcripts were detectable by Northern blot analysis, with the P533-derived late E1^E4 transcripts being the most abundant. The late transcripts could be detected in highly differentiated keratinocytes of MmuPV1-infected tissues as early as ten days after MmuPV1 inoculation and correlated with detection of L1 protein and viral DNA amplification. In mature warts, detection of L1 was also found in more poorly differentiated cells, as previously reported. Subclinical infections were also observed. The comprehensive transcription map of MmuPV1 generated in this study provides further evidence that MmuPV1 is similar to high-risk cutaneous beta human papillomaviruses. The knowledge revealed will facilitate the use of MmuPV1 as an animal virus model for understanding of human papillomavirus gene expression, pathogenesis and immunology. Papillomavirus (PV) infections lead to development of both benign warts and cancers. Because PVs are epitheliotropic and species specific, it has been extremely challenging to study PV infection in the context of a naturally occurring infection in a tractable laboratory animal. The recent discovery of the papillomavirus, MmuPV1, that infects laboratory mice, provides an important new animal model system for understanding the pathogenesis of papillomavirus-associated diseases. By using state of the art RNA-seq to provide deep sequencing analysis of what regions of the viral genome are transcribed and PacBio Iso-seq that produces longer reads to define the complete sequences of individual transcripts in combination with several conventional technologies to confirm transcription starts sites, splice sites, and polyadenylation sites, we provide the first detailed description of the MmuPV1 transcript map using RNA from MmuPV1-induced mouse warts. This study reveals the presence of mRNA transcripts capable of coding for ten protein products in the MmuPV1 genome and leads to correctly re-assigning the E1^E4, L2 and L1 coding regions. We were able to detect individual transcripts from the infected wart tissues by RT-PCR, Northern blot and RNA ISH, to define the temporal onset of productive viral infection and to ectopically express a predicted viral protein for functional studies. The constructed MmuPV1 transcript map provides a foundation to advance our understanding of papillomavirus biology and pathogenesis.
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Affiliation(s)
- Xiang-Yang Xue
- Tumor Virus RNA Biology Section, RNA Biology Laboratory, Center for Cancer Research, NCI/NIH, Frederick, Maryland, United States of America
- Department of Microbiology and Immunology, Wenzhou Medical University, Zhejiang, China
| | - Vladimir Majerciak
- Tumor Virus RNA Biology Section, RNA Biology Laboratory, Center for Cancer Research, NCI/NIH, Frederick, Maryland, United States of America
| | - Aayushi Uberoi
- McArdle Laboratory for Cancer Research, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Bong-Hyun Kim
- Collaborative Bioinformatics Resource, Center for Cancer Research, NCI/NIH, Bethesda, Maryland, United States of America
- Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Maryland, United States of America
| | - Deanna Gotte
- Tumor Virus RNA Biology Section, RNA Biology Laboratory, Center for Cancer Research, NCI/NIH, Frederick, Maryland, United States of America
| | - Xiongfong Chen
- Collaborative Bioinformatics Resource, Center for Cancer Research, NCI/NIH, Bethesda, Maryland, United States of America
- Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Maryland, United States of America
| | - Maggie Cam
- Collaborative Bioinformatics Resource, Center for Cancer Research, NCI/NIH, Bethesda, Maryland, United States of America
| | - Paul F. Lambert
- McArdle Laboratory for Cancer Research, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Zhi-Ming Zheng
- Tumor Virus RNA Biology Section, RNA Biology Laboratory, Center for Cancer Research, NCI/NIH, Frederick, Maryland, United States of America
- * E-mail:
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10
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Van Doorslaer K, Li Z, Xirasagar S, Maes P, Kaminsky D, Liou D, Sun Q, Kaur R, Huyen Y, McBride AA. The Papillomavirus Episteme: a major update to the papillomavirus sequence database. Nucleic Acids Res 2017; 45:D499-D506. [PMID: 28053164 PMCID: PMC5210616 DOI: 10.1093/nar/gkw879] [Citation(s) in RCA: 260] [Impact Index Per Article: 37.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 09/22/2016] [Indexed: 11/13/2022] Open
Abstract
The Papillomavirus Episteme (PaVE) is a database of curated papillomavirus genomic sequences, accompanied by web-based sequence analysis tools. This update describes the addition of major new features. The papillomavirus genomes within PaVE have been further annotated, and now includes the major spliced mRNA transcripts. Viral genes and transcripts can be visualized on both linear and circular genome browsers. Evolutionary relationships among PaVE reference protein sequences can be analysed using multiple sequence alignments and phylogenetic trees. To assist in viral discovery, PaVE offers a typing tool; a simplified algorithm to determine whether a newly sequenced virus is novel. PaVE also now contains an image library containing gross clinical and histopathological images of papillomavirus infected lesions. Database URL: https://pave.niaid.nih.gov/.
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Affiliation(s)
- Koenraad Van Doorslaer
- DNA Tumor Virus Section, Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 209892, USA
| | - Zhiwen Li
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 209892, USA
| | - Sandhya Xirasagar
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 209892, USA
| | - Piet Maes
- KU Leuven, Department of Microbiology and Immunology, Laboratory for Clinical Virology, Rega Institute for Medical Research, 3000 Leuven, Belgium
| | - David Kaminsky
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 209892, USA
| | - David Liou
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 209892, USA
| | - Qiang Sun
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 209892, USA
| | - Ramandeep Kaur
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 209892, USA
| | - Yentram Huyen
- Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 209892, USA
| | - Alison A McBride
- DNA Tumor Virus Section, Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 209892, USA
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Dreer M, van de Poel S, Stubenrauch F. Control of viral replication and transcription by the papillomavirus E8^E2 protein. Virus Res 2016; 231:96-102. [PMID: 27825778 DOI: 10.1016/j.virusres.2016.11.005] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 10/31/2016] [Accepted: 11/03/2016] [Indexed: 12/18/2022]
Abstract
Human papillomaviruses have adjusted their replication levels to the differentiation state of the infected keratinocyte. PV genomes replicate in undifferentiated cells at low levels and to high levels in differentiated cells. Genome replication requires the viral E1 helicase and the viral E2 transcription/replication activator. The limited replication in undifferentiated cells is predominantly due to the expression of the highly conserved E8^E2 viral repressor protein, which is a fusion between E8 and the C-terminal half of the E2 protein. E8^E2 is a sequence-specific DNA binding protein that inhibits viral gene expression and viral genome replication. The E8 domain is required for repression activities, which are mainly due to the interaction with cellular NCoR/SMRT corepressor complexes. In the case of HPV16, the most carcinogenic HPV type, E8^E2 not only limits genome replication in undifferentiated cells but also productive replication in differentiated epithelium. E8^E2 is expressed from a separate promoter that is controlled by unknown cellular factors and the viral transcription and replication regulators E1, E2 and E8^E2. In summary, E8^E2 is an important negative regulator whose levels may be critical for the outcome of HPV infections.
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Affiliation(s)
- Marcel Dreer
- University Hospital Tuebingen, Institute for Medical Virology and Epidemiology of Viral Diseases, Division of Experimental Virology, Elfriede-Aulhorn-Str. 6, 72076, Tuebingen, Germany
| | - Saskia van de Poel
- University Hospital Tuebingen, Institute for Medical Virology and Epidemiology of Viral Diseases, Division of Experimental Virology, Elfriede-Aulhorn-Str. 6, 72076, Tuebingen, Germany
| | - Frank Stubenrauch
- University Hospital Tuebingen, Institute for Medical Virology and Epidemiology of Viral Diseases, Division of Experimental Virology, Elfriede-Aulhorn-Str. 6, 72076, Tuebingen, Germany
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