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Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network

  • Authors:
    • Chunyan Wang
    • Hengtao Li
    • Lanfang Cao
    • Genzai Wang
  • View Affiliations / Copyright

    Affiliations: Department of Pediatrics, Shanghai Fengxian Fengcheng Hospital, Shanghai 200000, P.R. China, Department of Pediatrics, Ren Ji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200000, P.R. China
    Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 2153-2163
    |
    Published online on: June 22, 2018
       https://doi.org/10.3892/mmr.2018.9205
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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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Copy and paste a formatted citation
Spandidos Publications style
Wang C, Li H, Cao L and Wang G: Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network. Mol Med Rep 18: 2153-2163, 2018.
APA
Wang, C., Li, H., Cao, L., & Wang, G. (2018). Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network. Molecular Medicine Reports, 18, 2153-2163. https://doi.org/10.3892/mmr.2018.9205
MLA
Wang, C., Li, H., Cao, L., Wang, G."Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network". Molecular Medicine Reports 18.2 (2018): 2153-2163.
Chicago
Wang, C., Li, H., Cao, L., Wang, G."Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network". Molecular Medicine Reports 18, no. 2 (2018): 2153-2163. https://doi.org/10.3892/mmr.2018.9205
Copy and paste a formatted citation
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Spandidos Publications style
Wang C, Li H, Cao L and Wang G: Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network. Mol Med Rep 18: 2153-2163, 2018.
APA
Wang, C., Li, H., Cao, L., & Wang, G. (2018). Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network. Molecular Medicine Reports, 18, 2153-2163. https://doi.org/10.3892/mmr.2018.9205
MLA
Wang, C., Li, H., Cao, L., Wang, G."Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network". Molecular Medicine Reports 18.2 (2018): 2153-2163.
Chicago
Wang, C., Li, H., Cao, L., Wang, G."Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network". Molecular Medicine Reports 18, no. 2 (2018): 2153-2163. https://doi.org/10.3892/mmr.2018.9205
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