ArticleBMC pediatrics2021
Identification of pathogenic genes and transcription factors in respiratory syncytial virus.
Article in BMC pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Article
- Robust antiviral innate immune response and miRNA regulatory network were identified in ZIKV-infected cells: implications in the pathogenesis of ZIKV infection.Virus genes · 2025Article
- Cross-modal predictive modeling of multi-omic data in 3D airway organ tissue equivalents during viral infection.Frontiers in genetics · 2025Article
- Signature Proteins in Small Extracellular Vesicles of Granulocytes and CD4International journal of molecular sciences · 2024Article
- A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations.Cell reports. Medicine · 2022Article
- Species-specific transcriptomic changes upon respiratory syncytial virus infection in cotton rats.Scientific reports · 2022Article
- Receptors for Respiratory Syncytial Virus Infection and Host Factors Regulating the Life Cycle of Respiratory Syncytial Virus.Frontiers in cellular and infection microbiology · 2022Review
- Analysis of Incidence and Clinical Characteristics of RSV Infection in Hospitalized Children: A Retrospective Study.Risk management and healthcare policy · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRespiratory syncytial virus (RSV) is a major cause of acute lower respiratory infections in children, especially bronchiolitis. Our study aimed to identify the key genes and upstream transcription factors in RSV.
methodsTo screen for RSV pathogenic genes, an integrated analysis was performed using the RSV microarray dataset in GEO. Functional annotation and potential pathways for differentially expressed genes (DEGs) were further explored by GO and KEGG enrichment analysis. We constructed the RSV-specific transcriptional regulatory network to identify key transcription factors for DEGs in RSV.
resultsFrom three GEO datasets, we identified 1059 DEGs (493 up-regulated and 566 down-regulated genes, FDR < 0.05 and |Combined.ES| > 0.8) between RSV patients and normal controls. GO and KEGG analysis revealed that 'response to virus' (FDR = 7.13E-15), 'mitochondrion' (FDR = 1.39E-14) and 'Asthma' (FDR = 1.28E-06) were significantly enriched pathways for DEGs. The expression of IFI27, IFI44, IFITM3, FCER1A, and ISG15 were shown to be involved in the pathogenesis of RSV.
conclusionsWe concluded that IFI27, IFI44, IFITM3, FCER1A, and ISG15 may play a role in RSV. Our finding may contribute to the development of new potential biomarkers, reveal the underlying pathogenesis and also identify novel therapeutic targets for RSV.
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