Gene expression signature-based screening identifies new broadly effective influenza a antivirals.

ABSTRACT: Classical antiviral therapies target viral proteins and are consequently subject to resistance. To counteract this limitation, alternative strategies have been developed that target cellular factors. We hypothesized that such an approach could also be useful to identify broad-spectrum antivirals. The influenza A virus was used as a model for its viral diversity and because of the need to develop therapies against unpredictable viruses as recently underlined by the H1N1 pandemic. We proposed to identify a gene-expression signature associated with infection by different influenza A virus subtypes which would allow the identification of potential antiviral drugs with a broad anti-influenza spectrum of activity. We analyzed the cellular gene expression response to infection with five different

SUBMITTER: Josset L 

PROVIDER: S-EPMC2949399 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature