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. and Gygi, Steven P. 2014. Quantitative temporal viromics: an approach to investigate host-pathogen interaction. Cell 157 (6) , pp. 1460-1472. 10.1016/j.cell.2014.04.028

PDF - Published Version Available under License Creative Commons Attribution. Download (2MB)

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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine Systems Immunity Research Institute (SIURI)
Subjects:	R Medicine > R Medicine (General)
Publisher:	Elsevier
ISSN:	0092-8674
Funders:	Wellcome Trust, MRC
Date of First Compliant Deposit:	18 January 2021
Date of Acceptance:	3 April 2014
Last Modified:	18 Jan 2021 18:00
URI:	http://orca-mwe.cf.ac.uk/id/eprint/67609

Citation Data

Cited 27 times in Google Scholar. View in Google Scholar

Cited 205 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item