ArticleThe Journal of general virology2014
Characterization of innate responses to influenza virus infection in a novel lung type I epithelial cell model.
Article in The Journal of general virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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.
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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.
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Who cites it
35 citing papers in PubMed, 41 citations in OpenAlex.
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- ZBP1/DAI-Dependent Cell Death Pathways in Influenza A Virus Immunity and Pathogenesis.Current topics in microbiology and immunology · 2023Article
- Detecting Z-RNA and Z-DNA in Mammalian Cells.Methods in molecular biology (Clifton, N.J.) · 2023Article
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- Influenza-induced Tpl2 expression within alveolar epithelial cells is dispensable for host viral control and anti-viral immunity.PloS one · 2022Article
- Lipocalin 2 modulates dendritic cell activity and shapes immunity to influenza in a microbiome dependent manner.PLoS pathogens · 2021Article
- TLR2-mediated activation of innate responses in the upper airways confers antiviral protection of the lungs.JCI insight · 2021Article
- Respiratory Epithelial Cells Respond toViruses · 2020Article
- Electronic Nicotine Delivery System Aerosol-induced Cell Death and Dysfunction in Macrophages and Lung Epithelial Cells.American journal of respiratory cell and molecular biology · 2020Article
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- Epithelial membrane protein 2 governs transepithelial migration of neutrophils into the airspace.The Journal of clinical investigation · 2020Article
- The Importance of Vaccinating Children and Pregnant Women against Influenza Virus Infection.Pathogens (Basel, Switzerland) · 2019Review
- Quantification of epitope abundance reveals the effect of direct and cross-presentation on influenza CTL responses.Nature communications · 2019Article
- Unique Transcriptional Architecture in Airway Epithelial Cells and Macrophages Shapes Distinct Responses following Influenza Virus InfectionJournal of virology · 2019Article
- Respiratory epithelial cells as master communicators during viral infections.Current clinical microbiology reports · 2019Article
- Multiscale modeling of influenza A virus replication in cell cultures predicts infection dynamics for highly different infection conditions.PLoS computational biology · 2019Article
- Persistence of Burkholderia thailandensis E264 in lung tissue after a single binge alcohol episode.PloS one · 2019Article
Corrections and comments
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Authors and funding
18 authors at 2 institutions in 1 country.
Funding
Abstract
Type I alveolar epithelial cells are a replicative niche for influenza in vivo, yet their response to infection is not fully understood. To better characterize their cellular responses, we have created an immortalized murine lung epithelial type I cell line (LET1). These cells support spreading influenza virus infection in the absence of exogenous protease and thus permit simultaneous analysis of viral replication dynamics and host cell responses. LET1 cells can be productively infected with human, swine and mouse-adapted strains of influenza virus and exhibit expression of an antiviral transcriptional programme and robust cytokine secretion. We characterized influenza virus replication dynamics and host responses of lung type I epithelial cells and identified the capacity of epithelial cell-derived type I IFN to regulate specific modules of antiviral effectors to establish an effective antiviral state. Together, our results indicate that the type I epithelial cell can play a major role in restricting influenza virus infection without contribution from the haematopoietic compartment.
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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.