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

ABSTRACT: Classical antiviral therapy inhibit viral proteins and are subject to resistance. To counteract this emergence, alternative strategy has been developed that target cellular factors. We hypothesized that such approach could also be useful to identify broad antivirals. Influenza A virus was used as a model for viral diversity and need for therapy against unpredictable viruses as recently underlined by the H1N1 pandemic. We proposed to identify a gene-expression signature associated with infection with different influenza A virus subtypes which could help to identify potential antiviral drugs with broad spectrum. Cellular gene expression response to infection with five different human and avian influenza viruses strains was analyzed and 300 genes were determined as differentially expressed be

ORGANISM(S): Homo sapiens

SUBMITTER: Julien Textoris 

PROVIDER: E-GEOD-22319 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress