ArticleJournal of virology2014
An unbiased genetic screen reveals the polygenic nature of the influenza virus anti-interferon response.
Article in Journal of virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 57 citations in OpenAlex.
- Influenza A deletion-containing viral genome production is altered by metabolites, metabolic signaling molecules, and cyanobacterial extracts.Applied and environmental microbiology · 2026Article
- Interferon-β induction heterogeneity during KSHV infection is correlated to levels and activation of the transcription factors ATF2 and RelA, and not IRF3.PLoS pathogens · 2026Article
- Host PI3K inhibition via anti-cancer drug alpelisib influences Influenza A non-infectious particles and deletion-containing viral genomes.Cell communication and signaling : CCS · 2025Article
- Review
- Interferon-β induction heterogeneity during KSHV infection is correlated to levels and activation of the transcription factors ATF2 and RelA, and not IRF3.bioRxiv : the preprint server for biology · 2025Article
- A two-step mechanism for RIG-I activation by influenza virus mvRNAs.Science advances · 2025Article
- Innate immune control of influenza virus interspecies adaptation via IFITM3.Nature communications · 2024Article
- Review
- Article
- Virus-like Particles: Measures and Biological Functions.Viruses · 2022Review
- The influenza virus RNA polymerase as an innate immune agonist and antagonist.Cellular and molecular life sciences : CMLS · 2021Review
- TRIM22. A Multitasking Antiviral Factor.Cells · 2021Review
- Review
- Genetic Lesions of Type I Interferon Signalling in Human Antiviral Immunity.Trends in genetics : TIG · 2021Review
- RNA-seq accuracy and reproducibility for the mapping and quantification of influenza defective viral genomes.RNA (New York, N.Y.) · 2020Article
- Defective Interfering Particles of Negative-Strand RNA Viruses.Trends in microbiology · 2020Review
- Article
- Single-Cell Virus Sequencing of Influenza Infections That Trigger Innate Immunity.Journal of virology · 2019Article
- How Many Mammalian Reovirus Proteins are involved in the Control of the Interferon Response?Pathogens (Basel, Switzerland) · 2019Review
- Cytoplasm and Beyond: Dynamic Innate Immune Sensing of Influenza A Virus by RIG-I.Journal of virology · 2019Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
unlabelledInfluenza A viruses counteract the cellular innate immune response at several steps, including blocking RIG I-dependent activation of interferon (IFN) transcription, interferon (IFN)-dependent upregulation of IFN-stimulated genes (ISGs), and the activity of various ISG products; the multifunctional NS1 protein is responsible for most of these activities. To determine the importance of other viral genes in the interplay between the virus and the host IFN response, we characterized populations and selected mutants of wild-type viruses selected by passage through non-IFN-responsive cells. We reasoned that, by allowing replication to occur in the absence of the selection pressure exerted by IFN, the virus could mutate at positions that would normally be restricted and could thus find new optimal sequence solutions. Deep sequencing of selected virus populations and individual virus mutants indicated that nonsynonymous mutations occurred at many phylogenetically conserved positions in nearly all virus genes. Most individual mutants selected for further characterization induced IFN and ISGs and were unable to counteract the effects of exogenous IFN, yet only one contained a mutation in NS1. The relevance of these mutations for the virus phenotype was verified by reverse genetics. Of note, several virus mutants expressing intact NS1 proteins exhibited alterations in the M1/M2 proteins and accumulated large amounts of deleted genomic RNAs but nonetheless replicated to high titers. This suggests that the overproduction of IFN inducers by these viruses can override NS1-mediated IFN modulation. Altogether, the results suggest that influenza viruses replicating in IFN-competent cells have tuned their complete genomes to evade the cellular innate immune system and that serial replication in non-IFN-responsive cells allows the virus to relax from these constraints and find a new genome consensus within its sequence space. IMPORTANCE: In natural virus infections, the production of interferons leads to an antiviral state in cells that effectively limits virus replication. The interferon response places considerable selection pressure on viruses, and they have evolved a variety of ways to evade it. Although the influenza virus NS1 protein is a powerful interferon antagonist, the contributions of other viral genes to interferon evasion have not been well characterized. Here, we examined the effects of alleviating the selection pressure exerted by interferon by serially passaging influenza viruses in cells unable to respond to interferon. Viruses that grew to high titers had mutations at many normally conserved positions in nearly all genes and were not restricted to the NS1 gene. Our results demonstrate that influenza viruses have fine-tuned their entire genomes to evade the interferon response, and by removing interferon-mediated constraints, viruses can mutate at genome positions normally restricted by the interferon response.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.