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Identification of novel candidate genes involved in the progression of emphysema by bioinformatic methods

机译:通过生物信息学方法鉴定参与肺气肿进展的新候选基因

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Purpose: By reanalyzing the gene expression profile GSE76925 in the Gene Expression Omnibus database using bioinformatic methods, we attempted to identify novel candidate genes promoting the development of emphysema in patients with COPD. Patients and methods: According to the Quantitative CT data in GSE76925, patients were divided into mild emphysema group (%LAA-95020%, n=12) and severe emphysema group (%LAA-950.50%, n=11). Differentially expressed genes (DEGs) were identified using Agilent GeneSpring GX v11.5 (corrected P -value 1.3). Known driver genes of COPD were acquired by mining literatures and retrieving databases. Direct protein–protein interaction network (PPi) of DEGs and known driver genes was constructed by STRING.org to screen the DEGs directly interacting with driver genes. In addition, we used STRING.org to obtain the first-layer proteins interacting with DEGs’ products and constructed the indirect PPi of these interaction proteins. By merging the indirect PPi with driver genes’ PPi using Cytoscape v3.6.1, we attempted to discover potential pathways promoting emphysema’s development. Results: All the patients had COPD with severe airflow limitation (age=62±8, FEV1%=28±12). A total of 57 DEGs (including 12 pseudogenes) and 135 known driving genes were identified. Direct PPi suggested that GPR65, GNB4, P2RY13, NPSR1, BCR, BAG4, and IMPDH2 were potential pathogenic genes. GPR65 could regulate the response of immune cells to the acidic microenvironment, and NPSR1’s expression on eosinophils was associated with asthma’s severity and IgE level. Indirect merging PPi demonstrated that the interacting network of TP53, IL8, CCR2, HSPA1A, ELANE, PIK3CA was associated with the development of emphysema. IL8, ELANE, and PIK3CA were molecules involved in the pathological mechanisms of emphysema, which also in return proved the role of TP53 in emphysema. Conclusion: Candidate genes such as GPR65, NPSR1, and TP53 may be involved in the progression of emphysema.
机译:目的:通过使用生物信息学方法在“基因表达综合”数据库中重新分析基因表达谱GSE76925,我们试图鉴定出促进COPD患者肺气肿发展的新候选基因。患者和方法:根据GSE76925中的定量CT数据,将患者分为轻度气肿组(%LAA-950 <20%,n = 12)和重度气肿组(%LAA-950.50%,n = 11)。使用Agilent GeneSpring GX v11.5(校正的P值1.3)鉴定了差异表达的基因(DEG)。 COPD的已知驱动基因是通过挖掘文献和检索数据库获得的。 STRING.org构建了DEG和已知驱动基因的直接蛋白质-蛋白质相互作用网络(PPi),以筛选与驱动基因直接相互作用的DEG。此外,我们使用STRING.org获得了与DEGs产品相互作用的第一层蛋白,并构建了这些相互作用蛋白的间接PPi。通过使用Cytoscape v3.6.1将间接PPi与驱动基因的PPi融合,我们试图发现促进肺气肿发展的潜在途径。结果:所有患者均患有严重的气流受限的COPD(年龄= 62±8,FEV1%= 28±12)。总共鉴定出57个DEG(包括12个假基因)和135个已知驱动基因。直接PPi提示GPR65,GNB4,P2RY13,NPSR1,BCR,BAG4和IMPDH2是潜在的致病基因。 GPR65可以调节免疫细胞对酸性微环境的反应,而NPSR1在嗜酸性粒细胞上的表达与哮喘的严重程度和IgE水平有关。间接合并PPi证明TP53,IL8,CCR2,HSPA1A,ELANE,PIK3CA的相互作用网络与肺气肿的发生有关。 IL8,ELANE和PIK3CA是参与肺气肿病理机制的分子,这也反过来证明了TP53在肺气肿中的作用。结论:GPR65,NPSR1和TP53等候选基因可能参与了肺气肿的发生。

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