Molecular Medicine Reports · 2018 · 16 citations · 27 references
Life SciencesGeneticsMolecular BiologyGene ExpressionGene Regulatory NetworksNetwork BiologyDifferential Expression AnalysisDifferential Gene Expression AnalysisGene Co-expression AnalysisGene Coexpression NetworksGene Expression ProfilingMolecular Interaction NetworksCoexpression Network AnalysisDifferential Co-expression AnalysisGene Co-expression Network AnalysisGene Expression Network AnalysisGene Network AnalysisGene Ontology AnalysisGene Regulatory Network AnalysisWeighted Gene Coexpression Network Analysis
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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WGCNA: an R package for weighted correlation network analysis
Peter Langfelder, Steve Horvath · BMC Bioinformatics · 2008 · 29.1K citations · Full text
Human DNA-(Cytosine-5) Methyltransferase-PCNA Complex as a Target for p21 <sup>WAF1</sup>
Linda S.-H. Chuang, Hang-In Ian, Tong‐Wey Koh et al. · Science · 1997 · 894 citations
DNA methylation and childhood asthma in the inner city
Ivana V. Yang, Brent S. Pedersen, George O'connor et al. · Journal of Allergy and Clinical Immunology · 2015 · 228 citations · Full text