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:Virus and host factors contribute to cell-to-cell variation in viral infection and determine the outcome of the overall infection. However, the extent of the variability at the single cell level and how it impacts virus-host interactions at a systems level are not well understood. To characterize the dynamics of viral transcription and host responses, we used single-cell RNA sequencing to quantify at multiple time points the host and viral transcriptomes of human A549 cells and primary bronchial epithelial cells infected with influenza A virus. We observed substantial variability of viral transcription between cells, including the accumulation of defective viral genomes (DVGs) that impact viral replication. We show a correlation between DVGs and viral-induced variation of the host transcriptional program and an association between differential induction of innate immune response genes and attenuated viral transcription in subpopulations of cells. These observations at the single cell level improve our understanding of the complex virus-host interplay during influenza infection.
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:As a mild, highly contagious, respiratory disease, swine influenza always damages the innate immune systems, and increases susceptibility to secondary infections which results in considerable morbidity and mortality in pigs. Nevertheless, the systematical host response of pigs to swine influenza virus infection remains largely unknown. To explore these, a time-course gene expression profiling was performed to detect comprehensive analysis of the global host response induced by H1N1 swine influenza virus in pigs.
Project description:Viral infection perturbs host cells and can be used to uncover host regulatory mechanisms controlling both cell response and homeostasis. Here, using cell biological, biochemical and genetic tools, we reveal that influenza virus infection induces global transcriptional defects at the 3’-end of active host genes and RNA polymerase II (RNAPII) run-through into extragenic regions. This effect induces the biogenesis of aberrant RNAs (3’-extensions and host gene fusions) which ultimately causes global transcriptional downregulation of physiological transcripts, an effect that impacts antiviral response and virulence. We show that this phenomenon occurs with multiple strains of influenza virus and it is dependent on influenza NS1 protein expression. Mechanistically, pervasive RNAPII run-through can be modulated by SUMOylation of an intrinsically disordered region (IDR) of the NS1 expressed by the 1918 pandemic influenza virus. SUMOylation increases NS1 partitioning in nuclear granules and interference with the host transcriptional apparatus which result in augmentation of termination defects and a concomitant increase in global host gene shut off. Our data identify a general strategy used by influenza virus to suppress host gene expression and indicate that polymorphisms in IDRs of viral proteins, along with human genetic variation in enzymes that metabolize post-translational modifications, can determine the outcome of an infection. We thus propose that analysis of strain-specific determinant of pathogenesis can shed light on the molecular basis of virulence.
Project description:Diagnosis of influenza A infection is currently based on clinical symptoms and pathogen detection. Use of host peripheral blood gene expression data to classify individuals with influenza A virus infection represents a novel approach to infection diagnosis We used microarrays to assay peripheral blood gene expression at baseline and every 8 hours for 7 days following intranasal influenza A H1N1 or H3N2 inoculation in healthy volunteers. We determined groups of coexpressed genes that classified symptomatic influenza infection. We then tested this gene expression classifier in patients with naturally acquired respiratory illness.
Project description:We used the microarray data to analyze host cells response on A549 cells infected with Influenza A virus (A/Singapore/478/2009 (pH1N1)) The Influenza A virus (A/Singapore/478/2009 (pH1N1)) infected A549 cells were harvested at 2, 4, 6, 8 and 10 hpi and RNA extraction was performed using standard protocol as described by Affymetrix. The aim of this experiment is to analyze host response to Influenza A virus (A/Singapore/478/2009 (pH1N1)) infection.
Project description:Exosomes are extracellular vesicles secreted by cells that have an important biological function in intercellular communication by transferring biologically active proteins, lipids, and RNAs to neighbouring or distant cells. While a role for exosomes in antimicrobial defence has recently emerged, currently very little is known regarding the nature and functional relevance of exosomes generated in vivo, particularly during an active viral infection. Here, we characterised exosomes released into the airways during influenza virus infection. We show that these vesicles dynamically change in protein composition over the course of infection, increasing expression of host proteins with known anti-influenza activity, and viral proteins with the potential to trigger host immune responses. We show that exosomes released into the airways during influenza virus infection trigger pulmonary inflammation and carry viral antigen that can be utilized by antigen presenting cells to drive the induction of a cellular immune response. Moreover, we show that attachment factors for influenza virus, namely α2,3 and α2,6-linked sialic acids, are present on the surface of airway exosomes and these vesicles have the ability to neutralize influenza virus, thereby preventing the virus from binding and entering target cells. These data reveal a novel role for airway exosomes in the antiviral innate immune defence against influenza virus infection.
Project description:As a mild, highly contagious, respiratory disease, swine influenza always damages the innate immune systems, and increases susceptibility to secondary infections which results in considerable morbidity and mortality in pigs. Nevertheless, the systematical host response of pigs to swine influenza virus infection remains largely unknown. To explore these, a time-course gene expression profiling was performed to detect comprehensive analysis of the global host response induced by H1N1 swine influenza virus in pigs. At the age of day 35, 15 pigs were randomly allocated to the non-infected group and 15 to the infected group. Each piglet of the infected group was intranasaly challenged with A/swine/Hubei/101/2009(H1N1) strain and Each piglet of the non-infected group was treated similarly with an identical volume of PBS as control.
Project description:Our understanding of the synergism between S. pneumoniae and influenza virus remains incomplete. The classic dogma has been that influenza attenuates the host innate immunity and increase the susceptibility to subsequent bacterial infection. Therefore, the majority of current studies have been focusing on the interaction of S. pneumoniae and influenza in the context of host cells. By contrast, in this study, we set out to investigate the response of pneumococcus alone to virus infection. Our hypothesis was that prior to causing any damages to host cells, influenza may have induced (lethal) changes to pneumococcus cell itself. Indeed, a very recent evidence has shown that direct viral treatment to pneumococcus will increase its adhesion to macrophage cells. Here, using quantitative shotgun approach, we attempt to investigate the proteomic alterations of S. pneumoniae by influenza virus challenge, and provide a landscape of interactions between the IAV and pneumococcus.