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RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation
The stepwise and sequential expression of viral genes underlies progression of the infectious life cycle. The Epstein-Barr virus (EBV) is both a tractable model for elucidating principles of transcription as well as a global health threat. We describe an experimental protocol and bioinformatics pipe...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443917/ https://www.ncbi.nlm.nih.gov/pubmed/28560170 http://dx.doi.org/10.1016/j.gdata.2017.05.012 |
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author | Phan, An T. Martinez, Delsy M. Miranda, JJ L. |
author_facet | Phan, An T. Martinez, Delsy M. Miranda, JJ L. |
author_sort | Phan, An T. |
collection | PubMed |
description | The stepwise and sequential expression of viral genes underlies progression of the infectious life cycle. The Epstein-Barr virus (EBV) is both a tractable model for elucidating principles of transcription as well as a global health threat. We describe an experimental protocol and bioinformatics pipeline for functional identification of EBV true late genes, the last step of transcription prior to virion packaging and egress. All data have been uploaded to the Gene Expression Omnibus under accession code GSE96689. The key improvement over previous approaches is leveraging the sensitivity of RNA-seq to detect gene expression changes during spontaneous reactivation. |
format | Online Article Text |
id | pubmed-5443917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-54439172017-05-30 RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation Phan, An T. Martinez, Delsy M. Miranda, JJ L. Genom Data Data in Brief Article The stepwise and sequential expression of viral genes underlies progression of the infectious life cycle. The Epstein-Barr virus (EBV) is both a tractable model for elucidating principles of transcription as well as a global health threat. We describe an experimental protocol and bioinformatics pipeline for functional identification of EBV true late genes, the last step of transcription prior to virion packaging and egress. All data have been uploaded to the Gene Expression Omnibus under accession code GSE96689. The key improvement over previous approaches is leveraging the sensitivity of RNA-seq to detect gene expression changes during spontaneous reactivation. Elsevier 2017-05-12 /pmc/articles/PMC5443917/ /pubmed/28560170 http://dx.doi.org/10.1016/j.gdata.2017.05.012 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data in Brief Article Phan, An T. Martinez, Delsy M. Miranda, JJ L. RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation |
title | RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation |
title_full | RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation |
title_fullStr | RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation |
title_full_unstemmed | RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation |
title_short | RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation |
title_sort | rna-seq detects pharmacological inhibition of epstein-barr virus late transcription during spontaneous reactivation |
topic | Data in Brief Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443917/ https://www.ncbi.nlm.nih.gov/pubmed/28560170 http://dx.doi.org/10.1016/j.gdata.2017.05.012 |
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