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Quantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction

A systematic quantitative analysis of temporal changes in host and viral proteins throughout the course of a productive infection could provide dynamic insights into virus-host interaction. We developed a proteomic technique called “quantitative temporal viromics” (QTV), which employs multiplexed ta...

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Autores principales: Weekes, Michael P., Tomasec, Peter, Huttlin, Edward L., Fielding, Ceri A., Nusinow, David, Stanton, Richard J., Wang, Eddie C.Y., Aicheler, Rebecca, Murrell, Isa, Wilkinson, Gavin W.G., Lehner, Paul J., Gygi, Steven P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4048463/
https://www.ncbi.nlm.nih.gov/pubmed/24906157
http://dx.doi.org/10.1016/j.cell.2014.04.028
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author Weekes, Michael P.
Tomasec, Peter
Huttlin, Edward L.
Fielding, Ceri A.
Nusinow, David
Stanton, Richard J.
Wang, Eddie C.Y.
Aicheler, Rebecca
Murrell, Isa
Wilkinson, Gavin W.G.
Lehner, Paul J.
Gygi, Steven P.
author_facet Weekes, Michael P.
Tomasec, Peter
Huttlin, Edward L.
Fielding, Ceri A.
Nusinow, David
Stanton, Richard J.
Wang, Eddie C.Y.
Aicheler, Rebecca
Murrell, Isa
Wilkinson, Gavin W.G.
Lehner, Paul J.
Gygi, Steven P.
author_sort Weekes, Michael P.
collection PubMed
description A systematic quantitative analysis of temporal changes in host and viral proteins throughout the course of a productive infection could provide dynamic insights into virus-host interaction. We developed a proteomic technique called “quantitative temporal viromics” (QTV), which employs multiplexed tandem-mass-tag-based mass spectrometry. Human cytomegalovirus (HCMV) is not only an important pathogen but a paradigm of viral immune evasion. QTV detailed how HCMV orchestrates the expression of >8,000 cellular proteins, including 1,200 cell-surface proteins to manipulate signaling pathways and counterintrinsic, innate, and adaptive immune defenses. QTV predicted natural killer and T cell ligands, as well as 29 viral proteins present at the cell surface, potential therapeutic targets. Temporal profiles of >80% of HCMV canonical genes and 14 noncanonical HCMV open reading frames were defined. QTV is a powerful method that can yield important insights into viral infection and is applicable to any virus with a robust in vitro model. PAPERCLIP:
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spelling pubmed-40484632014-06-10 Quantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction Weekes, Michael P. Tomasec, Peter Huttlin, Edward L. Fielding, Ceri A. Nusinow, David Stanton, Richard J. Wang, Eddie C.Y. Aicheler, Rebecca Murrell, Isa Wilkinson, Gavin W.G. Lehner, Paul J. Gygi, Steven P. Cell Resource A systematic quantitative analysis of temporal changes in host and viral proteins throughout the course of a productive infection could provide dynamic insights into virus-host interaction. We developed a proteomic technique called “quantitative temporal viromics” (QTV), which employs multiplexed tandem-mass-tag-based mass spectrometry. Human cytomegalovirus (HCMV) is not only an important pathogen but a paradigm of viral immune evasion. QTV detailed how HCMV orchestrates the expression of >8,000 cellular proteins, including 1,200 cell-surface proteins to manipulate signaling pathways and counterintrinsic, innate, and adaptive immune defenses. QTV predicted natural killer and T cell ligands, as well as 29 viral proteins present at the cell surface, potential therapeutic targets. Temporal profiles of >80% of HCMV canonical genes and 14 noncanonical HCMV open reading frames were defined. QTV is a powerful method that can yield important insights into viral infection and is applicable to any virus with a robust in vitro model. PAPERCLIP: Cell Press 2014-06-05 /pmc/articles/PMC4048463/ /pubmed/24906157 http://dx.doi.org/10.1016/j.cell.2014.04.028 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Resource
Weekes, Michael P.
Tomasec, Peter
Huttlin, Edward L.
Fielding, Ceri A.
Nusinow, David
Stanton, Richard J.
Wang, Eddie C.Y.
Aicheler, Rebecca
Murrell, Isa
Wilkinson, Gavin W.G.
Lehner, Paul J.
Gygi, Steven P.
Quantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction
title Quantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction
title_full Quantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction
title_fullStr Quantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction
title_full_unstemmed Quantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction
title_short Quantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction
title_sort quantitative temporal viromics: an approach to investigate host-pathogen interaction
topic Resource
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4048463/
https://www.ncbi.nlm.nih.gov/pubmed/24906157
http://dx.doi.org/10.1016/j.cell.2014.04.028
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