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Dynamic Proteomics of Herpes Simplex Virus Infection

The cellular response to viral infection is usually studied at the level of cell populations. Currently, it remains an open question whether and to what extent cell-to-cell variability impacts the course of infection. Here we address this by dynamic proteomics—imaging and tracking 400 yellow fluores...

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Autores principales: Drayman, Nir, Karin, Omer, Mayo, Avi, Danon, Tamar, Shapira, Lev, Rafael, Dor, Zimmer, Anat, Bren, Anat, Kobiler, Oren, Alon, Uri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676043/
https://www.ncbi.nlm.nih.gov/pubmed/29114028
http://dx.doi.org/10.1128/mBio.01612-17
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author Drayman, Nir
Karin, Omer
Mayo, Avi
Danon, Tamar
Shapira, Lev
Rafael, Dor
Zimmer, Anat
Bren, Anat
Kobiler, Oren
Alon, Uri
author_facet Drayman, Nir
Karin, Omer
Mayo, Avi
Danon, Tamar
Shapira, Lev
Rafael, Dor
Zimmer, Anat
Bren, Anat
Kobiler, Oren
Alon, Uri
author_sort Drayman, Nir
collection PubMed
description The cellular response to viral infection is usually studied at the level of cell populations. Currently, it remains an open question whether and to what extent cell-to-cell variability impacts the course of infection. Here we address this by dynamic proteomics—imaging and tracking 400 yellow fluorescent protein (YFP)-tagged host proteins in individual cells infected by herpes simplex virus 1. By quantifying time-lapse fluorescence imaging, we analyze how cell-to-cell variability impacts gene expression from the viral genome. We identify two proteins, RFX7 and geminin, whose levels at the time of infection correlate with successful initiation of gene expression. These proteins are cell cycle markers, and we find that the position in the cell cycle at the time of infection (along with the cell motility and local cell density) can reasonably predict in which individual cells gene expression from the viral genome will commence. We find that the onset of cell division dramatically impacts the progress of infection, with 70% of dividing cells showing no additional gene expression after mitosis. Last, we identify four host proteins that are specifically modulated in infected cells, of which only one has been previously recognized. SUMO2 and RPAP3 levels are rapidly reduced, while SLTM and YTHDC1 are redistributed to form nuclear foci. These modulations are dependent on the expression of ICP0, as shown by infection with two mutant viruses that lack ICP0. Taken together, our results provide experimental validation for the long-held notion that the success of infection is dependent on the state of the host cell at the time of infection.
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spelling pubmed-56760432017-11-09 Dynamic Proteomics of Herpes Simplex Virus Infection Drayman, Nir Karin, Omer Mayo, Avi Danon, Tamar Shapira, Lev Rafael, Dor Zimmer, Anat Bren, Anat Kobiler, Oren Alon, Uri mBio Research Article The cellular response to viral infection is usually studied at the level of cell populations. Currently, it remains an open question whether and to what extent cell-to-cell variability impacts the course of infection. Here we address this by dynamic proteomics—imaging and tracking 400 yellow fluorescent protein (YFP)-tagged host proteins in individual cells infected by herpes simplex virus 1. By quantifying time-lapse fluorescence imaging, we analyze how cell-to-cell variability impacts gene expression from the viral genome. We identify two proteins, RFX7 and geminin, whose levels at the time of infection correlate with successful initiation of gene expression. These proteins are cell cycle markers, and we find that the position in the cell cycle at the time of infection (along with the cell motility and local cell density) can reasonably predict in which individual cells gene expression from the viral genome will commence. We find that the onset of cell division dramatically impacts the progress of infection, with 70% of dividing cells showing no additional gene expression after mitosis. Last, we identify four host proteins that are specifically modulated in infected cells, of which only one has been previously recognized. SUMO2 and RPAP3 levels are rapidly reduced, while SLTM and YTHDC1 are redistributed to form nuclear foci. These modulations are dependent on the expression of ICP0, as shown by infection with two mutant viruses that lack ICP0. Taken together, our results provide experimental validation for the long-held notion that the success of infection is dependent on the state of the host cell at the time of infection. American Society for Microbiology 2017-11-07 /pmc/articles/PMC5676043/ /pubmed/29114028 http://dx.doi.org/10.1128/mBio.01612-17 Text en Copyright © 2017 Drayman 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
Drayman, Nir
Karin, Omer
Mayo, Avi
Danon, Tamar
Shapira, Lev
Rafael, Dor
Zimmer, Anat
Bren, Anat
Kobiler, Oren
Alon, Uri
Dynamic Proteomics of Herpes Simplex Virus Infection
title Dynamic Proteomics of Herpes Simplex Virus Infection
title_full Dynamic Proteomics of Herpes Simplex Virus Infection
title_fullStr Dynamic Proteomics of Herpes Simplex Virus Infection
title_full_unstemmed Dynamic Proteomics of Herpes Simplex Virus Infection
title_short Dynamic Proteomics of Herpes Simplex Virus Infection
title_sort dynamic proteomics of herpes simplex virus infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676043/
https://www.ncbi.nlm.nih.gov/pubmed/29114028
http://dx.doi.org/10.1128/mBio.01612-17
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