title: Differential gene expression profiles of peripheral blood mononuclear cells in childhood asthma.
abstract: OBJECTIVE
  Asthma is a common childhood disease with strong genetic components. This study compared whole-genome expression differences between asthmatic young children and healthy controls to identify gene signatures of childhood asthma.
  
  
  METHODS
  Total RNA extracted from peripheral blood mononuclear cells (PBMC) was subjected to microarray analysis. QRT-PCR was performed to verify the microarray results. Classification and functional characterization of differential genes were illustrated by hierarchical clustering and gene ontology analysis. Multiple logistic regression (MLR) analysis, receiver operating characteristic (ROC) curve analysis, and discriminate power were used to scan asthma-specific diagnostic markers.
  
  
  RESULTS
  For fold-change>2 and p < 0.05, there were 758 named differential genes. The results of QRT-PCR confirmed successfully the array data. Hierarchical clustering divided 29 highly possible genes into seven categories and the genes in the same cluster were likely to possess similar expression patterns or functions. Gene ontology analysis presented that differential genes primarily enriched in immune response, response to stress or stimulus, and regulation of apoptosis in biological process. MLR and ROC curve analysis revealed that the combination of ADAM33, Smad7, and LIGHT possessed excellent discriminating power.
  
  
  CONCLUSIONS
  The combination of ADAM33, Smad7, and LIGHT would be a reliable and useful childhood asthma model for prediction and diagnosis.
authors.affiliation: Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University , Guangzhou, Guangdong , P.R. China .
authors.forename: Qian
authors.initials: Q
authors.lastname: Kong
authors.forename: Wen-Jing
authors.initials: WJ
authors.lastname: Li
authors.forename: Hua-Rong
authors.initials: HR
authors.lastname: Huang
authors.forename: Ying-Qiang
authors.initials: YQ
authors.lastname: Zhong
authors.forename: Jian-Pei
authors.initials: JP
authors.lastname: Fang
mesh_terms: D051722:ADAM Proteins / Q000235:genetics; D017209:Apoptosis; D001249:Asthma / Q000235:genetics* / Q000276:immunology; D002675:Child, Preschool; D016000:Cluster Analysis; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D007223:Infant; D007963:Leukocytes, Mononuclear / Q000276:immunology; D008297:Male; D040081:Protein Array Analysis; D012313:RNA; D012372:ROC Curve; D020133:Reverse Transcriptase Polymerase Chain Reaction; D051906:Smad7 Protein / Q000235:genetics; D059467:Transcriptome; D053326:Tumor Necrosis Factor Ligand Superfamily Member 14 / Q000235:genetics
chemical_list: C497806:SMAD7 protein, human; D051906:Smad7 Protein; C505914:TNFSF14 protein, human; D053326:Tumor Necrosis Factor Ligand Superfamily Member 14; D012313:RNA; D051722:ADAM Proteins; C450441:ADAM33 protein, human
keywords: ADAM33; LIGHT; Smad7; allergic asthma; childhood asthma; differential gene expression; microarray