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作 者:缪冉[1] 冷冬[1] 王颖[1] 李积凤[2] 龚娟妮[2] 梁燕[1] 杨媛华[2]
机构地区:[1]首都医科大学附属北京朝阳医院检验科,100020 [2]首都医科大学附属北京朝阳医院呼吸与危重症医学科,100020
出 处:《中华医学杂志》2017年第16期1240-1243,共4页National Medical Journal of China
基 金:国家自然科学基金(81300044,81200042,81200041);北京市自然科学基金(7162069);北京市医院管理局“青苗”计划(QM120160301)
摘 要:目的分析特发性肺纤维化(IPF)并发肺动脉高压(PH)芯片数据差异表达基因。方法检索基因表达谱汇编数据库(GEO)中的GSE15197数据。用Bonferroni算法得到可将IPF-PH、特发性肺动脉高压(IPAH)和正常对照3类肺组织样本区分开的差异表达基因。用主成分分析方法提取可区分3类样本的主成分,获取区分性的显著差异表达基因,用基因注释分析和基因间关联分析方法分析显著差异基因的功能和相关信号通路。结果IPF-PH、IPAH和正常对照3组肺组织比较分析得到160个显著差异表达基因(P〈0.05),累计贡献率〉0.85的主成分有9个,在主成分1上荷载系数〉80%的显著性差异表达基因有44个。主要涉及纤毛、γ-谷氨酰胺转移酶、磷脂酶等生物学术语。差异表达基因主要涉及白三烯的生物合成以及γ-谷氨酰胺转移酶的生物活性相关信号通路。结论差异表达基因及其功能注释可为IPF-PH致病基因提供重要线索,并为探寻潜在生物标志物和药物靶点提供理论基础。ObjectiveTo analyze the differential gene expression of patients with idiopathic pulmonary fibrosis and pulmonary hypertension (IPF-PH).MethodsThe expression profile data of GSE15197 was downloaded from the Gene Expression Omnibus (GEO) database. Bonferroni algorithm was used to identify the differentially expressed genes of pulmonary tissues from IPF-PH, idiopathic pulmonary arterial hypertension (IPAH) and Normal groups. Principal component analysis was used to extract the principal components of three types of samples and differentially expressed genes were obtained. Gene annotation and gene association analysis were used to analyze gene function and related signaling pathways.ResultsGene expression profiles of pulmonary tissues from IPF-PH, IPAH and Normal groups were compared and analyzed, and 160 differentially expressed genes were found (P〈0.05). Nine principal component were found with the cumulative contribution rate of 〉0.85, and there were 44 significant differences genes with the loading coefficient 〉80% in principal component one, which was mainly related to the expression of cilium, gamma-glutamyltransferase, and phospholipase. The signaling pathway of differential expression genes were mainly involved in the biosynthesis of leukotriene biosynthetic process and gamma-glutamyltransferase activity.ConclusionThe differential gene expression and their functional annotation can provide important clues for the pathogenic genes of IPF-PH, and may provide a theoretical basis for exploring potential biomarkers and drug targets.
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