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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2017
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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. |
format | Online Article Text |
id | pubmed-5676043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
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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