Gene expression of MDCK cells with antivirals treatment
Ontology highlight
ABSTRACT:
ORGANISM(S): Canis lupus familiaris
PROVIDER: GSE232189 | GEO | 2023/07/17
REPOSITORIES: GEO
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Project description:In addition to directly inhibiting viral proteins, some antiviral drugs inhibit virus replication through regulation of host gene expression. Here we test whether antiviral activity of antivirals is independent of modulating gene expression in infected host cells.
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Project description: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 between infected and non-infected samples. Strikingly, only a few genes were induced by infection and related to immune response. A more concise list was used to screen connectivity map, a database of drug-associated gene expression profiles, for molecules with inverse profiles than the signature of infection. We hypothesized that such compounds would induce an unfavorable cellular environment for influenza virus replication. Eight potential antivirals including ribavirin were identified, and six inhibited influenza viral growth in vitro. The new pandemic H1N1 virus, which was not used to define the gene expression signature of infection, was inhibited by five of the eight identified molecules, demonstrating that this strategy could help to identify broad spectrum antivirals. This is the first study showing that a gene expression based-screening can be used to identify antivirals. Such approaches could accelerate the drug discovery progress and could be extended to other pathogens. A549 (human lung epithelial cells) were infected with 5 different influenza A strains (A/New Caledonia/20/99 (H1N1), A/Moscow/10/99 (H3N2), A/Lyon/969/09 (H1N1 SOI-V), A/Turkey/582/2006 (H5N1), A/Finch/England/2051/94 (H5N2), and A/Chicken/Italy/2076/99 (H7N1)) or mock infected. Five independant replicates were done and hybridized on a different microarray. The overall design is thus composed of 5 mock samples, and 5x5 infected samples.
2011-03-22 | E-GEOD-22319 | biostudies-arrayexpress
Project description:Targeted protein degradation (TPD), as exemplified by proteolysis-targeting chimera (PROTAC), is a prominent paradigm in drug discovery. In this study, we applied conventional and novel PROTAC approaches to develop broad-spectrum antivirals (targeting key host factors for many different viruses) and virus-specific antivirals (targeting unique viral proteins). With respect to host-directed antivirals, we identified a small molecule degrader, FM-74-103, with pan-antiviral activities, as shown by inhibiting both RNA and DNA viruses. FM-74-103 elicits the selective degradation of human GSPT1, a translation termination factor, which further shuts down translation initiation. With respect to virus-specific antivirals, we developed viral RNA oligonucleotide-based bifunctional molecules (Destroyers). We provided proof-ofprinciple that RNA mimics of viral promoter sequences can be used as molecular glues to recruit viral polymerase (vPOL) and target it for degradation. Collectively, this study shows that TPD can be exploited to rationally design and develop the next generations of antivirals.
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Project description: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 between infected and non-infected samples. Strikingly, only a few genes were induced by infection and related to immune response. A more concise list was used to screen connectivity map, a database of drug-associated gene expression profiles, for molecules with inverse profiles than the signature of infection. We hypothesized that such compounds would induce an unfavorable cellular environment for influenza virus replication. Eight potential antivirals including ribavirin were identified, and six inhibited influenza viral growth in vitro. The new pandemic H1N1 virus, which was not used to define the gene expression signature of infection, was inhibited by five of the eight identified molecules, demonstrating that this strategy could help to identify broad spectrum antivirals. This is the first study showing that a gene expression based-screening can be used to identify antivirals. Such approaches could accelerate the drug discovery progress and could be extended to other pathogens.
2011-03-22 | GSE22319 | GEO
Project description:Gene expression of MDCK cells with antivirals treatment
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