Single cell heterogeneity in influenza A virus gene expression shapes the innate antiviral response to infection
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ABSTRACT:
PROVIDER: PRJNA599132 | ENA |
REPOSITORIES: ENA
Dataset's files
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| SRR10832403.fastq.gz | Fastqsanger.gz | |||
| SRR10832404.fastq.gz | Fastqsanger.gz | |||
| SRR10832405.fastq.gz | Fastqsanger.gz | |||
| SRR10832406.fastq.gz | Fastqsanger.gz | |||
| SRR10832407.fastq.gz | Fastqsanger.gz |
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Project description:Single cell heterogeneity in influenza A virus gene expression shapes the innate antiviral response to infection
| PRJNA599132 | ENA
Project description:Viral infection outcomes are governed by the complex and dynamic interplay between the infecting virus population and the host response. It is increasingly clear that both viral and host cell populations are highly heterogeneous, but little is known about how this heterogeneity influences infection dynamics or viral pathogenicity. To dissect the interactions between influenza A virus (IAV) and host cell heterogeneity, we examined the combined host and viral transcriptomes of thousands of individual cells, each infected with a single IAV virion. We observed complex patterns of viral gene expression and the existence of multiple distinct host transcriptional responses to infection at the single cell level. We show that human H1N1 and H3N2 strains differ significantly in patterns of both viral and host anti-viral gene transcriptional heterogeneity at the single cell level. Our analyses also reveal that semi-infectious particles that fail to express the viral NS can play a dominant role in triggering the innate anti-viral response to infection. Altogether, these data reveal how patterns of viral population heterogeneity can serve as a major determinant of antiviral gene activation.
2020-06-18 | GSE143167 | GEO
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Project description:The innate immune response is the first line of defense against pathogens, and factors that control this cellular response represent targets for treating both infectious and inflammatory diseases. Here, we reveal a novel role for the human helicase SETX, also previously implicated in amyotrophic lateral sclerosis (ALS4) and ataxia with oculomotor apraxia (AOA2), in controlling the magnitude of the antiviral response. Cells depleted for SETX and AOA2 patient-derived SETX-null cells show increased expression of antiviral mediators in response to infection. Mechanistically, this effect is achieved through SETX-mediated inhibition of RNAPII transcription of antiviral genes, and depends on SETX helicase activity. Our results suggest that SETX helps maintain the delicate balance between controlling viral infection and avoiding the potentially detrimental effects of an excessive antiviral response. More broadly, the observation that SETX can regulate the transcriptional activity of specific genes may have important implications for disorders where SETX function is compromised. A549 cells that were transfected with either control non-targeting or SETX-specific siRNAs were infected with the Influenza A virus (A/PR/8/34(ΔNS1) strain) at a multiplicity of infection (MOI) of 3 for 4 hours. Nuclei were then extracted and used to prepare Global Run-On Sequencing (GRO-seq) libraries.
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Project description:Viral infection outcomes are governed by the complex and dynamic interplay between the infecting virus population and the host response. It is increasingly clear that both viral and host cell populations are highly heterogeneous, but little is known about how this heterogeneity influences infection dynamics or viral pathogenicity. To dissect the interactions between influenza A virus (IAV) and host cell heterogeneity, we examined the combined host and viral transcriptomes of thousands of individual cells, each infected with a single IAV virion. We observed complex patterns of viral gene expression and the existence of multiple distinct host transcriptional responses to infection at the single cell level. We show that human H1N1 and H3N2 strains differ significantly in patterns of both viral and host anti-viral gene transcriptional heterogeneity at the single cell level. Our analyses also reveal that semi-infectious particles that fail to express the viral NS can play a dominant role in triggering the innate anti-viral response to infection. Altogether, these data reveal how patterns of viral population heterogeneity can serve as a major determinant of antiviral gene activation.
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Project description:Innate immunity serves as the primary defense against viral and microbial infections in humans. Among its components, retinoic acid-inducible gene I (RIG-I)-like receptors (RLRs) are well-characterized intracellular pattern-recognition proteins that trigger innate immune responses upon viral infection. However, the precise influence of cellular metabolites, especially fatty acids, on the regulation of RLR-mediated antiviral innate immunity remains largely elusive. Here, through screening a metabolite library, palmitic acid (PA) has been identified as a crucial metabolite responsible for modulating antiviral infections. Mechanistically, PA induces the palmitoylation of MAVS, leading to MAVS aggregation and subsequent activation, thereby enhancing the innate immune response against viral infections. Functionally, the enzyme palmitoyl-transferase ZDHHC24 plays a key role in catalyzing the palmitoylation of MAVS at both C46 and C79 residues, thereby facilitating the transduction of RLR-mediated TBK1-IRF3-IFN signaling pathway, particularly under conditions of PA stimulation or high-fat diet feeding. Conversely, the absence of ZDHHC24 significantly attenuates virus-induced innate immune responses in both cells and mice. Moreover, APT2 counteracts with ZDHHC24 to de-palmitoylate MAVS, thus inhibiting the antiviral response. Consequently, inhibition of APT2 using compounds like ML349 effectively reverses MAVS palmitoylation and activation in response to antiviral infections. These findings underscore the critical role of PA and ZDHHC24 in regulating antiviral innate immunity through MAVS palmitoylation, and suggest potential therapeutic strategies for combating viral infections, such as enhancing PA intake or specifically targeting APT2.
2024-09-10 | PXD054077 | Pride
Project description:RIG-I is thought to be the most important sensor of influenza virus infection and plays critical roles in the recognition of cytoplasmic dsRNA and activation of type I IFNs and initiates the innate antiviral immune responses. How the binding of viral RNA to and activation of RIG-I are regulated remains enigmatic. Here, by an affinity proteomics approach with viral RNA as the bait, we found that IFI16, previously identified as a DNA sensor, was significantly induced both in vitro and in vivo during influenza virus infection. Using an IFI16 knockout cells and p204-deficient mice model, we demonstrated that IFI16 enhanced RIG-I-mediated production of type I IFNs and thereby inhibited viral replication during influenza virus infection. Furthermore, we showed that IFI16 regulated the RIG-I signaling by enhancing its transcriptional expression through recruitment of RNA Pol II to the RIG-I promoter. We also verified that IFI16 directly interacted with both viral RNA by HINa domain and associated with RIG-I through its PYRIN domain as well as promoted influenza virus-induced K63-linked polyubiquitination of RIG-I. In addition, we found that IFI16 lost its ability to inhibit viral replication in the absence of RIG-I in virus-infected cells. These results indicate that IFI16 is a key regulator of the RIG-I signaling during antiviral innate immune responses, which highlights a novel mechanism of IFI16 in IAV and other RNA viruses infection, expands our knowledge in antiviral innate immunity, and suggests its possible use as a new strategies to manipulate antiviral responses.
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Project description:RIG-I is thought to be the most important sensor of influenza virus infection and plays critical roles in the recognition of cytoplasmic dsRNA and activation of type I IFNs and initiates the innate antiviral immune responses. How the binding of viral RNA to and activation of RIG-I are regulated remains enigmatic. Here, by an affinity proteomics approach with viral RNA as the bait, we found that IFI16, previously identified as a DNA sensor, was significantly induced both in vitro and in vivo during influenza virus infection. Using an IFI16 knockout cells and p204-deficient mice model, we demonstrated that IFI16 enhanced RIG-I-mediated production of type I IFNs and thereby inhibited viral replication during influenza virus infection. Furthermore, we showed that IFI16 regulated the RIG-I signaling by enhancing its transcriptional expression through recruitment of RNA Pol II to the RIG-I promoter. We also verified that IFI16 directly interacted with both viral RNA by HINa domain and associated with RIG-I through its PYRIN domain as well as promoted influenza virus-induced K63-linked polyubiquitination of RIG-I. In addition, we found that IFI16 lost its ability to inhibit viral replication in the absence of RIG-I in virus-infected cells. These results indicate that IFI16 is a key regulator of the RIG-I signaling during antiviral innate immune responses, which highlights a novel mechanism of IFI16 in IAV and other RNA viruses infection, expands our knowledge in antiviral innate immunity, and suggests its possible use as a new strategies to manipulate antiviral responses.
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Project description:The outcome of viral infection is extremely heterogeneous at the cellular level, and infected cells only sometimes activate innate immunity. Here we assess how the genetic variation inherent in viral populations contributes to this heterogeneity. We do this by developing a new approach to determine both the cellular transcriptome and full-length sequences of all viral genes in single influenza-infected cells. Infections that activate an innate-immune response in single cells are associated with viral defects that include amino-acid mutations, internal deletions, and failure to express key genes. However, immune activation remains stochastic in cells infected by virions with these defects, and sometimes occurs even in cells infected by virions that express unmutated copies of all genes. Our work shows that the genetic variation present in influenza virus populations substantially contributes to but does not fully explain the heterogeneity in infection outcome and immune activation in single infected cells.
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