Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Quantitative temporal viromics: an approach to investigate host-pathogen interaction

Weekes, Michael P., Tomasec, Peter, Huttlin, Edward L., Fielding, Ceri A. ORCID: https://orcid.org/0000-0002-5817-3153, Nusinow, David, Stanton, Richard J. ORCID: https://orcid.org/0000-0002-6799-1182, Wang, Eddie C. Y. ORCID: https://orcid.org/0000-0002-2243-4964, Aicheler, Rebecca, Murrell, Isa, Wilkinson, Gavin W. G. ORCID: https://orcid.org/0000-0002-5623-0126, 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

[thumbnail of PIIS0092867414005947.pdf] 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: 13 Feb 2024 12:53
URI: https://orca.cardiff.ac.uk/id/eprint/67609

Citation Data

Cited 330 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics