Project description:Human papilloma (HPV) virus-like particle (VLP) vaccines were recently licensed. Though neutralizing antibody titers are thought to be the main effectors of protection against infection, early predictors of long-term efficacy are not yet defined and a comprehensive understanding of innate and adaptive immune responses to vaccination is still lacking. Here, microarrays were used to compare the gene expression signature in HPV-16 L1 VLP-stimulated PBMC from 17 vaccine and 4 placebo recipients before vaccination, and 1 month after receiving the second immunization. Vaccination with HPV-16 L1 VLP was associated with modulation of genes involved in the inflammatory/defense response, cytokine, interferon and cell cycle pathways in VLP-stimulated PBMC. In addition, there was up-regulation of probesets associated with cytotoxic (GZMB, TNFSF10) and regulatory (INDO, CTLA4) activities. The strongest correlations with neutralizing antibody titers were found for cyclin d2 (CCND2) and galectin (LGALS2). Twenty-two differentially expressed probesets were selected for confirmation by RT-PCR in an independent sample set. Agreement with the microarray data was seen for over two-thirds of these probesets. Up-regulation of immune/defense response genes by VLP, in particular interferon-induced genes was observed in PBMC collected prior to vaccination, with many of these genes being further induced following vaccination. In conclusion, we used gene expression profiling to identify important innate and adaptive response related- genes induced by vaccination with HPV VLP. Further studies are needed to identify gene expression signatures of immunogenicity and long-term protection with potential utility in prediction of long-term HPV vaccination outcomes in clinical trials. Experiment Overall Design: Microarrays (Affymetrix Human Focus) were used to compare the gene expression signature in PBMCs stimulated for 3 days with media alone, Sf9/baculovirus insect cell lysate, and HPV-16 L1 VLP expressed from baculovirus-infected Sf9 insect cells from 17 vaccine and 4 placebo recipients before vaccination, and 1 month after receiving the second immunization (2 months after the initial immunization. Post-vaccination baculovirus sample for Pt078 and pre-vaccination baculovirus sample for Pt082 failed QC.

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.

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.

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	Nish_12hr_10.raw	Raw
	Nish_12hr_10r.raw	Raw
	Nish_12hr_11.raw	Raw
	Nish_12hr_11r.raw	Raw

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Quantitative proteomics of Sf21 cells during Baculovirus infection reveals progressive host proteome changes and its regulation by viral miRNA.

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Quantitative proteomics of Sf21 cells during Baculovirus infection reveals progressive host proteome changes and its regulation by viral miRNA.

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