Open AccessQuantitative Temporal Viromics: An Approach to Investigate Host-Pathogen Interaction
Author(s) -
Michael P. Weekes,
Peter Tomašec,
Edward L. Huttlin,
Ceri A. Fielding,
David P. Nusinow,
Richard J. Stanton,
Eddie C. Y. Wang,
Rebecca Aicheler,
Isa Murrell,
Gavin W. G. Wilkinson,
Paul J. Lehner,
Steven P. Gygi
Publication year - 2014
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2014.04.028
Subject(s) - biology , human cytomegalovirus , virus , computational biology , immune system , innate immune system , quantitative proteomics , microbiology and biotechnology , proteomics , virology , gene , genetics
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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