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Defining the Transcriptional Landscape during Cytomegalovirus Latency with Single-Cell RNA Sequencing

Primary infection with human cytomegalovirus (HCMV) results in a lifelong infection due to its ability to establish latent infection, with one characterized viral reservoir being hematopoietic cells. Although reactivation from latency causes serious disease in immunocompromised individuals, our mole...

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Autores principales: Shnayder, Miri, Nachshon, Aharon, Krishna, Benjamin, Poole, Emma, Boshkov, Alina, Binyamin, Amit, Maza, Itay, Sinclair, John, Schwartz, Michal, Stern-Ginossar, Noam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5850328/
https://www.ncbi.nlm.nih.gov/pubmed/29535194
http://dx.doi.org/10.1128/mBio.00013-18
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author Shnayder, Miri
Nachshon, Aharon
Krishna, Benjamin
Poole, Emma
Boshkov, Alina
Binyamin, Amit
Maza, Itay
Sinclair, John
Schwartz, Michal
Stern-Ginossar, Noam
author_facet Shnayder, Miri
Nachshon, Aharon
Krishna, Benjamin
Poole, Emma
Boshkov, Alina
Binyamin, Amit
Maza, Itay
Sinclair, John
Schwartz, Michal
Stern-Ginossar, Noam
author_sort Shnayder, Miri
collection PubMed
description Primary infection with human cytomegalovirus (HCMV) results in a lifelong infection due to its ability to establish latent infection, with one characterized viral reservoir being hematopoietic cells. Although reactivation from latency causes serious disease in immunocompromised individuals, our molecular understanding of latency is limited. Here, we delineate viral gene expression during natural HCMV persistent infection by analyzing the massive transcriptome RNA sequencing (RNA-seq) atlas generated by the Genotype-Tissue Expression (GTEx) project. This systematic analysis reveals that HCMV persistence in vivo is prevalent in diverse tissues. Notably, we find only viral transcripts that resemble gene expression during various stages of lytic infection with no evidence of any highly restricted latency-associated viral gene expression program. To further define the transcriptional landscape during HCMV latent infection, we also used single-cell RNA-seq and a tractable experimental latency model. In contrast to some current views on latency, we also find no evidence for any highly restricted latency-associated viral gene expression program. Instead, we reveal that latency-associated gene expression largely mirrors a late lytic viral program, albeit at much lower levels of expression. Overall, our work has the potential to revolutionize our understanding of HCMV persistence and suggests that latency is governed mainly by quantitative changes, with a limited number of qualitative changes, in viral gene expression.
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spelling pubmed-58503282018-03-21 Defining the Transcriptional Landscape during Cytomegalovirus Latency with Single-Cell RNA Sequencing Shnayder, Miri Nachshon, Aharon Krishna, Benjamin Poole, Emma Boshkov, Alina Binyamin, Amit Maza, Itay Sinclair, John Schwartz, Michal Stern-Ginossar, Noam mBio Research Article Primary infection with human cytomegalovirus (HCMV) results in a lifelong infection due to its ability to establish latent infection, with one characterized viral reservoir being hematopoietic cells. Although reactivation from latency causes serious disease in immunocompromised individuals, our molecular understanding of latency is limited. Here, we delineate viral gene expression during natural HCMV persistent infection by analyzing the massive transcriptome RNA sequencing (RNA-seq) atlas generated by the Genotype-Tissue Expression (GTEx) project. This systematic analysis reveals that HCMV persistence in vivo is prevalent in diverse tissues. Notably, we find only viral transcripts that resemble gene expression during various stages of lytic infection with no evidence of any highly restricted latency-associated viral gene expression program. To further define the transcriptional landscape during HCMV latent infection, we also used single-cell RNA-seq and a tractable experimental latency model. In contrast to some current views on latency, we also find no evidence for any highly restricted latency-associated viral gene expression program. Instead, we reveal that latency-associated gene expression largely mirrors a late lytic viral program, albeit at much lower levels of expression. Overall, our work has the potential to revolutionize our understanding of HCMV persistence and suggests that latency is governed mainly by quantitative changes, with a limited number of qualitative changes, in viral gene expression. American Society for Microbiology 2018-03-13 /pmc/articles/PMC5850328/ /pubmed/29535194 http://dx.doi.org/10.1128/mBio.00013-18 Text en Copyright © 2018 Shnayder et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Shnayder, Miri
Nachshon, Aharon
Krishna, Benjamin
Poole, Emma
Boshkov, Alina
Binyamin, Amit
Maza, Itay
Sinclair, John
Schwartz, Michal
Stern-Ginossar, Noam
Defining the Transcriptional Landscape during Cytomegalovirus Latency with Single-Cell RNA Sequencing
title Defining the Transcriptional Landscape during Cytomegalovirus Latency with Single-Cell RNA Sequencing
title_full Defining the Transcriptional Landscape during Cytomegalovirus Latency with Single-Cell RNA Sequencing
title_fullStr Defining the Transcriptional Landscape during Cytomegalovirus Latency with Single-Cell RNA Sequencing
title_full_unstemmed Defining the Transcriptional Landscape during Cytomegalovirus Latency with Single-Cell RNA Sequencing
title_short Defining the Transcriptional Landscape during Cytomegalovirus Latency with Single-Cell RNA Sequencing
title_sort defining the transcriptional landscape during cytomegalovirus latency with single-cell rna sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5850328/
https://www.ncbi.nlm.nih.gov/pubmed/29535194
http://dx.doi.org/10.1128/mBio.00013-18
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