ArticleViruses2022
Identification of Critical Genes and Pathways for Influenza A Virus Infections via Bioinformatics Analysis.
Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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Who cites it
7 citing papers in PubMed.
- Development and characterization of chicken lung organoids for in vitro modeling of avian influenza virus-host cell interaction.Scientific reports · 2026Article
- The kynurenine pathway in RNA virus infection: immunometabolic control of antiviral defense and viral persistence.Frontiers in immunology · 2026Review
- The response to influenza vaccination is associated with DNA methylation-driven regulation of T cell innate antiviral pathways.Clinical epigenetics · 2024Article
- The response to influenza vaccination is associated with DNA methylation-driven regulation of T cell innate antiviral pathways.Research square · 2024Article
- Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches.Scientific reports · 2023Article
- System Biology Approach to Identify the Hub Genes and Pathways Associated with Human H5N1 Infection.Vaccines · 2023Article
- Biological properties of the BCL-2 family protein BCL-RAMBO, which regulates apoptosis, mitochondrial fragmentation, and mitophagy.Frontiers in cell and developmental biology · 2022Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Influenza A virus (IAV) requires the host cellular machinery for many aspects of its life cycle. Knowledge of these host cell requirements not only reveals molecular pathways exploited by the virus or triggered by the immune system but also provides further targets for antiviral drug development. To uncover critical pathways and potential targets of influenza infection, we assembled a large amount of data from 8 RNA sequencing studies of IAV infection for integrative network analysis. Weighted gene co-expression network analysis (WGCNA) was performed to investigate modules and genes correlated with the time course of infection and/or multiplicity of infection (MOI). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to explore the biological functions and pathways of the genes in 5 significant modules. Top hub genes were identified using the cytoHubba plugin in the protein interaction network. The correlation between expression levels of 7 top hub genes and time course or MOI was displayed and validated, including BCL2L13, PLSCR1, ARID5A, LMO2, NDRG4, HAP1, and CARD10. Dysregulated expression of these genes potently impacted the development of IAV infection through modulating IAV-related biological processes and pathways. This study provides further insights into the underlying molecular mechanisms and potential targets in IAV infection.
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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.