Cell-to-cell variation in defective virus expression and effect on host response during influenza virus infection
Ontology highlight
ABSTRACT:
ORGANISM(S): Influenza A virus (A/Puerto Rico/8/1934(H1N1)) Canis lupus familiaris Homo sapiens
PROVIDER: GSE118773 | GEO | 2019/12/10
REPOSITORIES: GEO
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Project description:While a common symptom of influenza and coronavirus disease 2019 (COVID-19) is fever, its physiological role on host resistance to viral infection remains less clear. Here, we demonstrate that exposure of mice to the high ambient temperature of 36 °C increase host resistance to viral pathogens including influenza virus and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). High heat-exposed mice increase basal body temperature over 38 °C to enable more bile acids production in a gut microbiota-dependent manner. The gut microbiota-derived deoxycholic acid (DCA) and its plasma membrane-bound receptor Takeda G-protein-coupled receptor 5 (TGR5) signaling increase host resistance to influenza virus infection by suppressing virus replication and neutrophil-dependent tissue damage. Furthermore, the DCA and its nuclear farnesoid X receptor (FXR) agonist protect Syrian hamster from lethal SARS-CoV-2 infection. Moreover, we demonstrate that certain bile acids are reduced in the plasma of COVID-19 patients who developed moderate I/II disease compared with minor illness group. These findings uncover an unexpected mechanism by which virus-induced high fever increases host resistance to influenza virus and SARS-CoV-2 in a gut microbiota-dependent manner.
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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.
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Project description:Heldt2012 - Influenza Virus Replication
The model describes the life cycle of influenza A virus in a mammalian cell including the following steps: attachment of parental virions to the cell membrane, receptor-mediated endocytosis, fusion of the virus envelope with the endosomal membrane, nuclear import of vRNPs, viral transcription and replication, translation of the structural viral proteins, nuclear export of progeny vRNPs and budding of new virions. It also explicitly accounts for the stabilization of cRNA by viral polymerases and NP and the inhibition of vRNP activity by M1 protein binding. In short, the model focuses on the molecular mechanism that controls viral transcription and replication.
This model is described in the article:
Modeling the intracellular dynamics of influenza virus replication to understand the control of viral RNA synthesis.
Heldt FS, Frensing T, Reichl U.
J Virol.
Abstract:
Influenza viruses transcribe and replicate their negative-sense RNA genome inside the nucleus of host cells via three viral RNA species. In the course of an infection, these RNAs show distinct dynamics, suggesting that differential regulation takes place. To investigate this regulation in a systematic way, we developed a mathematical model of influenza virus infection at the level of a single mammalian cell. It accounts for key steps of the viral life cycle, from virus entry to progeny virion release, while focusing in particular on the molecular mechanisms that control viral transcription and replication. We therefore explicitly consider the nuclear export of viral genome copies (vRNPs) and a recent hypothesis proposing that replicative intermediates (cRNA) are stabilized by the viral polymerase complex and the nucleoprotein (NP). Together, both mechanisms allow the model to capture a variety of published data sets at an unprecedented level of detail. Our findings provide theoretical support for an early regulation of replication by cRNA stabilization. However, they also suggest that the matrix protein 1 (M1) controls viral RNA levels in the late phase of infection as part of its role during the nuclear export of viral genome copies. Moreover, simulations show an accumulation of viral proteins and RNA toward the end of infection, indicating that transport processes or budding limits virion release. Thus, our mathematical model provides an ideal platform for a systematic and quantitative evaluation of influenza virus replication and its complex regulation.
With the current parameter set, the model reproduces an infection at a multiplicity of infection (MOI) of 10. Figure 2A of the paper is reproduced here, with parameters kDegRnp and kSynP changed to zeros.
Initial conditions and parameter changes that were used to obtain specific figures in the article can be found in Table A2.
The model has the correct value for kAttLo as 4.55e-04. The value of this parameter mentioned as 4.55e-02 in Table 1 of the paper is incorrect. This is checked with the author.
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