MiRNA profiling in lung epithelial cells during infection with influenza A virus of H1N1 strain
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ABSTRACT: This study aims at elucidating how H1N1 influenza infection perturbs the host's miRNA regulatory pathways that may lead to adverse pathological events, such as cytokine storm, using the miRNA microarray approach. The cell line - NCI-H292, was infected with various preparations of H1N1 influenza viruses was analysed for miRNA expression profiles subsequently. The miRNA expression profiles were measured at 3, 6, 18, and 24 hours post infection, respectively.
Project description:This study aims at elucidating how H5N1 influenza infection perturbs the host's miRNA regulatory pathways that may lead to adverse pathological events, such as cytokine storm, using the miRNA microarray approach. The cell line - NCI-H292, was infected with various preparations of H5N1 influenza viruses was analysed for miRNA expression profiles subsequently. The miRNA expression profiles were measured at 3, 6, 18, and 24 hours post infection, respectively.
Project description:This SuperSeries is composed of the following subset Series: GSE36461: MiRNA profiling during infection with H1N1 influenza A virus (A/Mexico/InDRE4487/H1N1/2009) GSE36462: MiRNA profiling during infection with H7N7 influenza A virus (A/Ck/Germany/R28/H7N7/2003) GSE36553: mRNA profiling during infection with H1N1 influenza A virus (A/Mexico/InDRE4487/H1N1/2009) Refer to individual Series
Project description:MicroRNAs (miRNAs) repress the expression levels of genes by binding to mRNA transcripts, acting as master regulators of cellular processes. Differential expression of miRNAs has been linked to viral-associated diseases involving members of the hepacivirus, herpesvirus, and retrovirus families. In contrast, limited biological and molecular information has been reported on the potential role of cellular miRNAs in the lifecycle of influenza A viruses (infA). In this study, we hypothesize that elucidating the miRNA expression signatures induced by low-pathogenic swine-origin influenza A virus (S-OIV) pandemic H1N1 (2009) and highly pathogenic avian-origin (A-OIV) H7N7 (2003) infections could reveal temporal and strain-specific miRNA fingerprints during the viral lifecycle, shedding important insights into the potential role of cellular miRNAs in host-infA interactions. Using a microfluidic microarray platform, we profiled cellular miRNA expression in human A549 cells infected with S- and A-OIVs at multiple time-points during the viral lifecycle, including global gene expression profiling during S-OIV infection. Using target prediction and pathway enrichment analyses, we identified the key cellular pathways associated with the differentially expressed miRNAs and predicted mRNA targets during infA infection, including immune system, cell proliferation, apoptosis, cell cycle, and DNA replication and repair. By identifying the specific and dynamic molecular phenotypic changes (microRNAome) triggered by S- and A-OIV infection in human cells, we provide experimental evidence demonstrating a series of temporal- and strain-specific host molecular responses involving different combinatorial contributions of multiple cellular miRNAs. Our results also identify novel potential exosomal miRNA biomarkers associated with pandemic S-OIV and deadly A-OIV-host infection. Control (mock-infected) samples: 12 (2 technical replicates, averaged), Infected samples: 6, for each time-point (0, 4, 8, 24, 48 and 72 hours post infection). The experiment was performed in six replicates.
Project description:MicroRNAs (miRNAs) repress the expression levels of genes by binding to mRNA transcripts, acting as master regulators of cellular processes. Differential expression of miRNAs has been linked to viral-associated diseases involving members of the hepacivirus, herpesvirus, and retrovirus families. In contrast, limited biological and molecular information has been reported on the potential role of cellular miRNAs in the lifecycle of influenza A viruses (infA). In this study, we hypothesize that elucidating the miRNA expression signatures induced by low-pathogenic swine-origin influenza A virus (S-OIV) pandemic H1N1 (2009) and highly pathogenic avian-origin (A-OIV) H7N7 (2003) infections could reveal temporal and strain-specific miRNA fingerprints during the viral lifecycle, shedding important insights into the potential role of cellular miRNAs in host-infA interactions. Using a microfluidic microarray platform, we profiled cellular miRNA expression in human A549 cells infected with S- and A-OIVs at multiple time-points during the viral lifecycle, including global gene expression profiling during S-OIV infection. Using target prediction and pathway enrichment analyses, we identified the key cellular pathways associated with the differentially expressed miRNAs and predicted mRNA targets during infA infection, including immune system, cell proliferation, apoptosis, cell cycle, and DNA replication and repair. By identifying the specific and dynamic molecular phenotypic changes (microRNAome) triggered by S- and A-OIV infection in human cells, we provide experimental evidence demonstrating a series of temporal- and strain-specific host molecular responses involving different combinatorial contributions of multiple cellular miRNAs. Our results also identify novel potential exosomal miRNA biomarkers associated with pandemic S-OIV and deadly A-OIV-host infection. Control (mock-infected) samples: 12, Infected samples: 6, for each time-point (0, 4, 8, 24, 48 and 72 hours post infection). Seven replicates for each miRNA were found on the microarray chips, for which the median has been retained. The experiment was performed in six replicates. The H1N1 RNA in the mock-infected samples in chip 1 and the hour 4 samples in chip 2 were found to be degraded during the mRNA profiling; therefore, they were excluded from the statistical analysis.
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.
Project description:The aim was to determine the effect of heme oxygenase-1 (HO-1) overexpression on microRNA transcriptome in human non-small cell lung carcinoma cell line (NCI-H292). Since the cells of different HO-1 genotypes were used (cells are after retroviral transduction with empty vector with normal level of HO-1 or retroviral transduction with vector harboring HO-1), it is possible get the comprehensive answer which microRNAs are regulated by HO-1. Confluent NCI-H292 cells that contain EV-ctrl or overexpressing HO-1. Pool of reference cells are cells untreated and treated with 10 ng/ml TNF-M-NM-1 for 6 hours before RNA isolation. The samples are biological triplicates - three independent experiments were performed at different time points for all cell lines. Total number of the presented samples is 6.
Project description:Non-small cell lung cancer (NSCLC) remains one of the leading causes of death worldwide, and thus, new molecular targets need to be identified to improve treatment efficacy. Enhanced TFAP2C expression was found in lung cancer patient tissues and lung cancer cell lines, and its overexpression promoted cell proliferation and cell cycle progression. We conducted microarrays to find the possible downstream effectors regulated by TFAP2C which could play key roles in lung tumorigenesis. Two total RNA samples, extracted from NCI-H292 cells treated with or without TFAP2C siRNA, were analyzed by Affymetrix microarray.
Project description:In search for peptides with higher or special binding affinity and for further understanding of the mode of action, a full substitutional analysis of peptide PeB using microarrays was performed. Thus, 152 PeB mutant variants were generated. In each of them, the full-length sequence was preserved except for only one amino acid from the eight loop-forming amino acids of the original PeB peptide (ARDFYDYDVFYYAMD) which was substituted with the 19 remaining natural amino acids. To assess binding, influenza material was labeled with a protein reacting fluorophore. Microarray-based substitutional analysis of peptide PeB was performed using a PepStar® peptide library spotted on glass slides by JPT Peptide Technologies. The slides were used without additional treatment. For the labeling of proteins with a fluorescent dye, Dyomics DY-634 (λex = 635 nm, λem = 654 nm, Fluoro-spin 634 Kit (emp Biotech) was used, according to the manufacturer´s instructions. The following materials were labeled: NewYork H3N2, Aichi H3N2, Victoria H3N2 and California H1N1. Labeled analytes were incubated several hours or overnight at indicated concentrations using Femtotip buffer (FTP)30 (20 mM Tris, 30% glycerol, 3% polyvinylpyrrolidon 90, 0.1% Tween 20, pH 8.4) for dilution. The slides were washed twice in FTP and twice in ultrapure water and subsequently dried under a stream of nitrogen. Experiments were performed in triplicates using glycans (2,3'-/2,6'-sialyllactose) and proteins (Anti-H1/Anti-H3 antibodies, fetuin) as positive and negative controls.
Project description:This study aims at elucidating how Coxsackie B virus infection perturbs the host's miRNA regulatory pathways that may lead to different pathological events using the miRNA microarray approach. The rat pancreatic cell line - INS-1E, was infected with various preparations of Coxsackie B4 viruses was analysed for miRNA expression profiles subsequently. The miRNA expression profiles were measured at 48, and 72 hours post infection, respectively.