Cargando…
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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782480529549950976 |
---|---|
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: |
format | Online Article Text |
id | pubmed-4048463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT weekesmichaelp quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction AT tomasecpeter quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction AT huttlinedwardl quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction AT fieldingceria quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction AT nusinowdavid quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction AT stantonrichardj quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction AT wangeddiecy quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction AT aichelerrebecca quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction AT murrellisa quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction AT wilkinsongavinwg quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction AT lehnerpaulj quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction AT gygistevenp quantitativetemporalviromicsanapproachtoinvestigatehostpathogeninteraction |