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Cited by 431

The DOI matches its Crossref record; 185 of the 185 references it cites were found in a registry or an index.

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

Open access
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.·2014·Cell

Abstract

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.

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Metadata

Authors
Weekes, M. P., Tomasec, P., Huttlin, E. L., Fielding, C. A., Nusinow, D., Stanton, R. J., Wang, E. C. Y., Aicheler, R., Murrell, I., Wilkinson, G. W. G., Lehner, P. J., & Gygi, S. P.
Venue
Cell
Publisher
Elsevier BV
Published
2014-06
Volume
157
Issue
6
Pages
1460-1472
ISSN
0092-8674 (ISSN-L)
OpenAlex
W1979921905
Cited by
431
References
185
FWCI
29.44
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Quantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction. https://app.cochat.ai/papers/10.1016/j.cell.2014.04.028
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Weekes, M. P., Tomasec, P., Huttlin, E. L., Fielding, C. A., Nusinow, D., Stanton, R. J., Wang, E. C. Y., Aicheler, R., Murrell, I., Wilkinson, G. W. G., Lehner, P. J., & Gygi, S. P. (2014). Quantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction. Cell. https://doi.org/10.1016/j.cell.2014.04.028

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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