Gene expression of Vero E6 cells with antivirals treatment
Ontology highlight
ABSTRACT:
ORGANISM(S): Chlorocebus sabaeus
PROVIDER: GSE194130 | GEO | 2022/12/01
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.
2023-07-17 | GSE232189 | GEO
Project description:Gene expression of Vero E6 cells with antivirals treatment
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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.
2023-06-15 | PXD042352 | Pride
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:Genome-wide CRISPR screens identified host factors that promote human coronavirus infection, revealing novel antiviral drug targets.
2021-12-22 | GSE177541 | GEO
Project description:We conducted a high-throughput drug repositioning screen using the LOPAC®1280 and the ReFRAME drug libraries to identify existing drugs that harbor antiviral activity against SARS-CoV-2, in a Vero E6 cell-based assay. We additionally performed RNA sequencing on control and SARS-CoV-2 infected Vero E6 cells to study the biological changes after SARS-CoV-2 infection and to elucidate the potential mechanisms underlying the positive hits identified from our high-throughput screen. Vero E6 cells were either mock-infected or infected with SARS-CoV-2 USA-WA1/2020 (MOI = 0.3) with three replicates. Cells were harvested 24 hours after infection, and total RNA was extracted using the Qiagen® RNeasy® Plus Mini Kit. The quality of the extracted RNA was assessed with the Agilent® 2100 Bioanalyzer. Libraries were prepared from total RNA following ribosome RNA depletion using standard protocol according to Illumina®. Total RNA sequencing was then performed on the Illumina® NextSeq system; 150bp paired-end runs were performed and 100 million raw reads per sample were generated.
2020-07-08 | GSE153940 | GEO
Project description:RNAseq was used to identify host and viral transcriptome changes in SARS-CoV-2 infection in Vero E6 cells at 8hpi.
2020-11-21 | GSE161881 | GEO
Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to spread globally, and scientists around the world are currently studying the virus intensively in order to fight against the on-going pandemic of the virus. To do so, SARS-CoV-2 is typically grown in the lab to generate viral stocks for various kinds of experimental investigations. However, accumulating evidence suggests that such viruses often undergo cell culture adaptation. Here, we systematically explored cell culture adaptation of two SARS-CoV-2 variants, namely the B.1.36.16 variant and the AY.30 variant, a sub lineage of the B.1.617.2 (Delta) variant, propagated in three different cell lines, including Vero E6, Vero E6/TMPRSS2, and Calu-3 cells. Our analyses detected numerous potential cell culture adaptation changes scattering across the entire virus genome, many of which could be found in naturally circulating isolates. Notable ones included mutations around the spike glycoprotein's multibasic cleavage site, and the Omicron-defining H655Y mutation on the spike glycoprotein, as well as mutations in the nucleocapsid protein's linker region, all of which were found to be Vero E6-specific. Our analyses also identified deletion mutations on the non-structural protein 1 and membrane glycoprotein as potential Calu-3-specific adaptation changes. S848C mutation on the non-structural protein 3, located to the protein's papain-like protease domain, was also identified as a potential adaptation change, found in viruses propagated in all three cell lines. Our results highlight SARS-CoV-2 high adaptability, emphasize the need to deep-sequence cultured viral samples when used in intricate and sensitive biological experiments, and illustrate the power of experimental evolutionary study in shedding lights on the virus evolutionary landscape.
| S-EPMC10078795 | biostudies-literature
Project description:The Vero cell line is an immortalized cell line established from kidney epithelial cells of the African green monkey. A variety of Vero sublines have been developed and can be classified into four major cell lineages. In this study, we determined the whole-genome sequence of Vero E6 (VERO C1008), which is one of the most widely used cell lines for the proliferation and isolation of severe acute respiratory syndrome coronaviruses (SARS-CoVs), and performed comparative analysis among Vero JCRB0111, Vero CCL-81, Vero 76, and Vero E6. Analysis of the copy number changes and loss of heterozygosity revealed that these four sublines share a large deletion and loss of heterozygosity on chromosome 12, which harbors type I interferon and CDKN2 gene clusters. We identified a substantial number of genetic differences among the sublines including single nucleotide variants, indels, and copy number variations. The spectrum of single nucleotide variants indicated a close genetic relationship between Vero JCRB0111 and Vero CCL-81, and between Vero 76 and Vero E6, and a considerable genetic gap between the former two and the latter two lines. In contrast, we confirmed the pattern of genomic integration sites of simian endogenous retroviral sequences, which was consistent among the sublines. We identified subline-specific/enriched loss of function and missense variants, which potentially contribute to the differences in response to viral infection among the Vero sublines. In particular, we identified four genes (IL1RAP, TRIM25, RB1CC1, and ATG2A) that contained missense variants specific or enriched in Vero E6. In addition, we found that V739I variants of ACE2, which functions as the receptor for SARS-CoVs, were heterozygous in Vero JCRB0111, Vero CCL-81, and Vero 76; however, Vero E6 harbored only the allele with isoleucine, resulting from the loss of one of the X chromosomes.
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