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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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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. |
format | Online Article Text |
id | pubmed-8223271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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