title: Protein-protein interaction network analysis of children atopic asthma.
abstract: BACKGROUND
  Asthma prevalence has increased very considerably in recent decades such that it is now one of the commonest chronic disorders in the world. In this present study, We constructed a protein-protein interaction (PPI) network by mapped the differentially expressed genes (DEGs) to the PPI data and performed Gene Ontology (GO) enrichment analysis of the PPI network. We aimed to explore the pathogenesis of atopic asthma by bioinformatics methods.
  
  
  METHODS
  To explore the pathogenesis of atopic asthma by bioinformatics methods, we obtained the global gene expression profile of pediatric asthmatic epithelium GSE18965 from Gene Expression Omnibus (GEO), and identified the differentially expressed genes between healthy nonatopic samples and atopic asthmatic samples
  
  
  RESULTS
  Total 12 DEGs were selected. Furthermore, we constructed a protein-protein interaction network by mapped the DEGs to the PPI data and performed Gene Ontology enrichment analysis of the PPI network. Total 15 GO terms were enriched and the enriched terms can be generally classified into two groups: cell cycle and immunity.
  
  
  CONCLUSIONS
  Our results confirmed the role of cell proliferation and immune system in the pathogenesis of atopic asthma. Besides, our PPI network is useful in investigating the complex interacting mechanisms of transcription factors and their regulated genes in atopic asthma.
authors.affiliation: Department of Pediatrics, First Affiliated Hospital of Henan University of Science and Technology, Luoyang, PR China. liuyanssdld@hotmail.com
authors.forename: Yan
authors.initials: Y
authors.lastname: Liu
authors.forename: Sheng
authors.initials: S
authors.lastname: Liu
mesh_terms: D000293:Adolescent; D000367:Age Factors; D001249:Asthma / Q000235:genetics / Q000276:immunology / Q000378:metabolism* / Q000473:pathology; D016022:Case-Control Studies; D018797:Cell Cycle Proteins / Q000235:genetics / Q000378:metabolism; D049109:Cell Proliferation; D002478:Cells, Cultured; D002648:Child; D002675:Child, Preschool; D002681:China; D019295:Computational Biology; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D006801:Humans; D006969:Hypersensitivity, Immediate / Q000235:genetics / Q000276:immunology / Q000378:metabolism* / Q000473:pathology; D020411:Oligonucleotide Array Sequence Analysis; D054730:Protein Interaction Domains and Motifs; D025941:Protein Interaction Mapping; D020545:Respiratory Mucosa / Q000378:metabolism*; D015398:Signal Transduction / Q000235:genetics; D014157:Transcription Factors / Q000235:genetics / Q000378:metabolism
chemical_list: D018797:Cell Cycle Proteins; D014157:Transcription Factors