ArticleMolecular medicine reports2018
Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network.
Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Identification and validation of cilia-associated molecular candidates deregulated in severe asthma.Respiratory research · 2026Article
- Selective HDAC8 inhibition by PCI-34051 attenuates inflammation and airway remodeling in asthmaJournal of translational internal medicine · 2024Article
- FBXO6 regulates the antiviral immune responses via mediating alveolar macrophages survival.Journal of medical virology · 2023Article
- The emerging role of histone deacetylase 1 in allergic diseases.Frontiers in immunology · 2022Review
- Derangement of cell cycle markers in peripheral blood mononuclear cells of asthmatic patients as a reliable biomarker for asthma control.Scientific reports · 2021Article
- Aberrant Methylation of Aging-Related Genes in Asthma.Frontiers in molecular biosciences · 2021Article
- HDAC inhibitor sodium butyrate prevents allergic rhinitis and alters lncRNA and mRNA expression profiles in the nasal mucosa of mice.International journal of molecular medicine · 2020Article
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Authors and funding
4 authors.
Funding
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Abstract
Asthma, the most common chronic respiratory tract disease in children, is characterized by allergy, recurring airway obstruction and bronchospasm. The aim of the present study was to screen critical differentially expressed genes (DEGs) involved in asthma in children. Gene expression in different tissues was compared between asthmatic children and healthy control subjects in order to identify DEGs associated with asthma. Protein‑protein interaction (PPI) networks were constructed for the DEGs and weighted gene co‑expression network analysis methods were used to further determine the functional modules associated with DEGs in different tissue samples. In addition, the gene co‑expression network was constructed. Gene Ontology function analysis and pathway analysis were conducted to identify critical DEGs. The results identified numerous DEGs from the different tissue samples, including 1,662 DEGs from nasal‑epithelium tissue samples, 572 DEGs from peripheral blood (PB) samples and 146 DEGs from PB mononuclear cells samples. In the PPI network, F‑box only protein 6 (FBXO6), histone deacetylase 1 (HDAC1) and amyloid β precursor protein (APP) were hub genes and served an important role in the process of asthma. In addition, proliferating cell nuclear antigen (PCNA), integrin α‑4 (ITGA4), catenin α‑1 (CTNNA1), nuclear factor‑κB1 (NF‑κB1) and mechanistic target of rapamycin (MTOR) may be critical DEGs involved in the progression of asthma in children. These results suggested that FBXO6, HDAC1 and APP may interact with PCNA, ITGA4, CTNNA1, NF‑κB1 and mTOR in the progression of asthma in children.
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