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Time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach

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...

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Autores principales: Maróti, Zoltán, Tombácz, Dóra, Prazsák, István, Moldován, Norbert, Csabai, Zsolt, Torma, Gábor, Balázs, Zsolt, Kalmár, Tibor, Dénes, Béla, Snyder, Michael, Boldogkői, Zsolt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223271/
https://www.ncbi.nlm.nih.gov/pubmed/34167576
http://dx.doi.org/10.1186/s13104-021-05657-x
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author Maróti, Zoltán
Tombácz, Dóra
Prazsák, István
Moldován, Norbert
Csabai, Zsolt
Torma, Gábor
Balázs, Zsolt
Kalmár, Tibor
Dénes, Béla
Snyder, Michael
Boldogkői, Zsolt
author_facet Maróti, Zoltán
Tombácz, Dóra
Prazsák, István
Moldován, Norbert
Csabai, Zsolt
Torma, Gábor
Balázs, Zsolt
Kalmár, Tibor
Dénes, Béla
Snyder, Michael
Boldogkői, Zsolt
author_sort Maróti, Zoltán
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-021-05657-x.
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spelling pubmed-82232712021-06-24 Time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach Maróti, Zoltán Tombácz, Dóra Prazsák, István Moldován, Norbert Csabai, Zsolt Torma, Gábor Balázs, Zsolt Kalmár, Tibor Dénes, Béla Snyder, Michael Boldogkői, Zsolt BMC Res Notes Research Note 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-021-05657-x. BioMed Central 2021-06-24 /pmc/articles/PMC8223271/ /pubmed/34167576 http://dx.doi.org/10.1186/s13104-021-05657-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Note
Maróti, Zoltán
Tombácz, Dóra
Prazsák, István
Moldován, Norbert
Csabai, Zsolt
Torma, Gábor
Balázs, Zsolt
Kalmár, Tibor
Dénes, Béla
Snyder, Michael
Boldogkői, Zsolt
Time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach
title Time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach
title_full Time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach
title_fullStr Time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach
title_full_unstemmed Time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach
title_short Time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach
title_sort time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223271/
https://www.ncbi.nlm.nih.gov/pubmed/34167576
http://dx.doi.org/10.1186/s13104-021-05657-x
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