RNA-seq data of lungs from mouse infected with different H5N1 Avian Influenza Viruses
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ABSTRACT: Long non-coding RNAs (lncRNAs) play multiple key regulatory roles in various biological processes. However, their function in influenza A virus (IAV) pathogenicity remains largely unexplored. Here, using next generation sequencing, we systemically compared the whole-transcriptome response of the mouse lung infected either with high-pathogenic (A/Chicken/Jiangsu/k0402/2010, CK10) or with nonpathogenic (A/Goose/Jiangsu/k0403/2010, GS10) H5N1 strains. A total of 370 significantly differentially expressed (DE) lncRNAs from three replicates were identified associated with the high virulence of CK10, whereas the corresponding number for GS10 was 229.
Project description:We isolated two highly pathogenic H5N1 avian influenza viruses (AIVs) (CK10 and GS10) with similar genetic background but greatly differ in pathogencity in mice. CK10 is highly pathogenic in mice, whereas GS10 is nonpathogenic. However, the host mechanism of this differecne in pathogenicity is unclear. We used microarray analysis to evaluate the global transcriptional response in the lung of mice infected with CK10 or GS10.
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:Transcriptional profiling was carried out on lung and ileum samples at 1dpi and 3dpi from ducks 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:Transcriptional profiling was carried out on lung and ileum samples at 1dpi and 3dpi from quail 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:We isolated two highly pathogenic H5N1 avian influenza viruses (AIVs) (CK10 and GS10) with similar genetic background but greatly differ in pathogencity in mice. CK10 is highly pathogenic in mice, whereas GS10 is nonpathogenic. However, the host mechanism of this differecne in pathogenicity is unclear. We used microarray analysis to evaluate the global transcriptional response in the lung of mice infected with CK10 or GS10. Six-week-old female BALB/c mice were inoculated with CK10 or GS10 or mock-infected. At day 1 post infection, lungs were isolated from three mice per group for RNA extraction and hybridization on Agilent microarrays. Samples were named as follows: CK10 (CK10_1_NS,CK10_2_NS,CK10_3_NS) GS10 (GS10_1_NS,GS10_2_NS, GS10_3_NS) control (C1_NS, C2_NS, C3_NS).
Project description:The mechanisms responsible for the molecular pathogenesis of the highly pathogenic avian influenza virus (HPAIV) or low pathogenic avian influenza virus (LPAIV) in avian species remain poorly understood. Thus, global immune response of chickens infected with HPAIV H5N1 (A/duck/India/02CA10/2011) and LPAIV H9N2 (A/duck/India/249800/2010) viruses was studied using microarray to identify crucial host genetic components responsive to these infection. HPAIV H5N1 induced excessive mRNA expression of cytokines (IFNA, OASL, MX1, RSAD2, IFITM5, GBP 1, IL1B, IL18, IL22, IL13, IL12B, CCL4, CCL9, CCL10, CX3CL1 etc) in lung tissues. This excessive cytokine response (cytokine storms) may cause tissue damage and high mortality in chickens. In contrast, the expression levels of most of the cytokines remained unchanged in the lungs of LPAIV H9N2 virus infected chickens. This study indicated the relationship between host cytokines response and their roles in pathogenesis in chickens infected with HPAIVs.
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.