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. 2012 May 28:3:181.
doi: 10.3389/fmicb.2012.00181. eCollection 2012.

Deciphering novel host-herpesvirus interactions by virion proteomics

Roger Lippé  1
Affiliations

Deciphering novel host-herpesvirus interactions by virion proteomics

Roger Lippé. Front Microbiol. .

Abstract

Over the years, a vast array of information concerning the interactions of viruses with their hosts has been collected. However, recent advances in proteomics and other system biology techniques suggest these interactions are far more complex than anticipated. One particularly interesting and novel aspect is the analysis of cellular proteins incorporated into mature virions. Though sometimes considered purification contaminants in the past, their repeated detection by different laboratories suggests that a number of these proteins are bona fide viral components, some of which likely contribute to the viral life cycles. The present mini review focuses on cellular proteins detected in herpesviruses. It highlights the common cellular functions of these proteins, their potential implications for host-pathogen interactions, discusses technical limitations, the need for complementing methods and probes potential future research avenues.

Keywords: EBV γHV68; HCMV; HSV; KSHV; PRV; herpes; host–pathogen interactions; virus.

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Figures

Figure 1
Figure 1
The proteins from Table 1 were analyzed with the Ingenuity database to define their putative functions in the context of an infection. To this end, the protein accession numbers (or GI numbers) were queried from the Ingenuity database. For the purpose of this figure, all known functions associated with these proteins were exported to Microsoft Excel and regrouped. In the top pie chart, the cellular proteins found in all the herpesvirions were analyzed collectively, while the other pie charts depict the host proteins incorporated into each virus. Since each protein can be associated with multiples functions in the database, the results of those analyses are expressed as relative values instead of raw numbers, which consequently exceeds the original number of proteins analyzed. The percentages therefore represent the number of proteins falling into a given category with the total of each pie chart being 100%. A graphical legend of the categories is provided at the bottom right corner of the figure.
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