Project description:This study is planned to characterize the proteome profile of HPAI H5N1 virus infected chicken lung tissues to identify the molecular pathogenesis and proteomic determinant associate with disease progression in susceptible host.
Project description:Over the last decade, more than half of humans infected with highly pathogenic avian influenza (HPAI) H5N1 viruses have died, and yet virus-induced host signaling has yet to be clearly elucidated. Airway epithelia are known to produce inflammatory mediators that contribute to HPAI H5N1-mediated pathogenicity, but a comprehensive analysis of the host response in this cell type is lacking. Here, we leveraged a systems biology method called weighted gene correlation network analysis (WGCNA) to identify and statistically validate signaling sub-networks that define the dynamic transcriptional response of human bronchial epithelial cells after infection with influenza A/Vietnam/1203/2004 (H5N1, VN1203). A detailed examination of two sub-networks involved in the immune response and keratin filament formation revealed potential novel mediators of HPAI H5N1 pathogenesis, and additional experiments validated upregulation of these transcripts in response to VN1203 infection in C57BL/6 mice. Using emergent network properties, we provide fresh insight into the host response to HPAI H5N1 virus infection, and identify novel avenues for perturbation studies and potential therapeutic intervention of fatal HPAI H5N1 disease.
Project description:Transcriptional profiling was carried out on lung and ileum samples at 1dpi and 3dpi from chickens infected with either low pathogenic (H5N2) or highly pathogenic (H5N1) avian influenza. Infected birds were compared to control birds at each time point.
Project description:Analysis of lung samples from mice infected with a severe H5N1 influenza virus (VN/1203/04/H5N1) or a mild H1N1 influenza virus (NYMC-X-179A) on day 3 and day 5 post-infection. Uninfected controls were used for comparison.
Project description:Over the last decade, more than half of humans infected with highly pathogenic avian influenza (HPAI) H5N1 viruses have died, and yet virus-induced host signaling has yet to be clearly elucidated. Airway epithelia are known to produce inflammatory mediators that contribute to HPAI H5N1-mediated pathogenicity, but a comprehensive analysis of the host response in this cell type is lacking. Here, we leveraged a systems biology method called weighted gene correlation network analysis (WGCNA) to identify and statistically validate signaling sub-networks that define the dynamic transcriptional response of human bronchial epithelial cells after infection with influenza A/Vietnam/1203/2004 (H5N1, VN1203). A detailed examination of two sub-networks involved in the immune response and keratin filament formation revealed potential novel mediators of HPAI H5N1 pathogenesis, and additional experiments validated upregulation of these transcripts in response to VN1203 infection in C57BL/6 mice. Using emergent network properties, we provide fresh insight into the host response to HPAI H5N1 virus infection, and identify novel avenues for perturbation studies and potential therapeutic intervention of fatal HPAI H5N1 disease. Calu-3 cells were infected with VN1203 influenza virus and profiled at 0, 3, 7, 12, 18, and 24 hours post infection. There are 3 mock and infected replicates for each time point.
Project description:Current prophylactic and therapeutic strategies targeting human influenza viruses include vaccines and antivirals. Given variable rates of vaccine efficacy and antiviral resistance, alternative strategies are urgently required to improve disease outcomes. Here we describe the use of HiSeq deep sequencing to analyze host gene expression in primary human alveolar epithelial type II (ATII) cells infected with highly pathogenic avian influenza H5N1 virus. We employed primary human ATII cells isolated from normal human lung tissue donated by patients that underwent lung resection. Human host gene expression following HPAI H5N1 virus (A/Chicken/Vietnam/0008/04) infection of primary ATII cells was analyzed using Illumina HiSeq deep sequencing.
Project description:Susceptible (DBA/2J, 129/SvImJ, A/J) and Resistant (SM/J, C57BL/6J, Balb/cJ) mouse strain were inoculated with a highly pathogenic H5N1 influenza A virus (A/Hong Kong/213/2003) for 24 and 168 hours. Uninfected control animals were included. Differences in expression were analyzed and used to identify candidate genes and pathways that contributed to the difference in H5N1 pathogenesis in these two groups of mice.
Project description:The underlying molecular mechanisms of pathogenesis and outcome of disease to different pathotypes of H5N1 influenza infection in ducks remain unclear. For that, we studied genome wide host gene expression of lung tissues infected with A/duck/India/02CA10/2011(AD2011) H5N1 virus and A/duck/Tripura/103597/2008 (AD2008) H5N1 virus in ducks using custom designed microarray. AD2011 is highly pathogenic whereas AD2008 is low pathogenic to ducks. Comparative analysis of differentially expressed genes revealed that 688 genes were commonly expressed, 877 and 1556 genes are uniquely expressed to infection with AD2011 and AD2008 virus isolate, respectively. The up-regulation of cytokines genes OAS, IL1B, IL17, IFITM2, CCL4, CXCR4, STAT3, TGFB1 and TGFB2 in the lungs tissues may cause high mortality in ducks infected with AD2011 virus. The expression of important antiviral immune genes IFIT5, IFITM5, RSAD2, EIF2AK2 (PKR), Mx, β-defensins, TRIM23 and SLC16A3 to AD2008 infection, but not in AD2011 infection, cause the host may fine-tune their innate immune responses and prevent from cytokines storms and tissue damage. Several immune related Gene ontology (GO) terms and immune pathways activated were qualitatively similar but quantitatively different to both virus infections. Based on these findings, we conclude that subtle differences in host immune responses may determine the different outcome of H5N1 infection in ducks.