儿童肥胖症相关基因的生物信息学分析
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洛阳市优秀科技杰出人才项目(2013150)


Bioinformatics analysis of genes associated with childhood obesityThe activation and biomimetic mineralization of medical polyethylene
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    摘要:

    【摘要】 目的 筛选儿童肥胖症相关基因,探索儿童肥胖症的发病机制。方法 从基因表达公共数据库(GEO)下载儿童肥胖症基因表达谱数据集GSE9624,采用BRBArray Tools软件包筛选差异表达基因(DEGs),并对差异基因进行GO功能分析、KEGG通路富集分析和pathway相互作用网络分析。结果 共筛选出564个DEGs,其中上调基因333个,下调基因231个。GO富集分析发现DEGs主要参与代谢、细胞因子反应、信号转导、血液凝固等生物学过程,发挥的分子功能包括蛋白结合、蛋白二聚化、离子结合、RNA结合和ATP结合等。KEGG通路分析发现DEGs显著富集的pathway有代谢通路、MAPK信号通路、吞噬体、内质网蛋白加工、T细胞受体通路等。结论 儿童肥胖症患者代谢通路和信号转导通路的相关基因表达水平发生了改变,为进一步阐明儿童肥胖症的分子机制和靶向治疗提供了基础。

    Abstract:

    【Abstract】 Objective To screen the genes involved in childhood obesity and explore the pathogenesis mechanism of childhood obesity.Methods〓The dataset GSE9624 containing the gene expression profiles of obese children was downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were screened using BRB. Array Tools software, then the GO function, KEGG enrichment analysis, and pathway relation network analyses were performed based on these differential genes.Results〓Totally, 564 differential genes were identified, of which 333 genes were upregulated and 231 genes were downregulated.GO en richment analysis showed that DEGs mainly participated in biologicaI process of metabolic process, response to cytokine stimulus, signal transduction, blood coagulation, and performed the molecular functions of protein binding, protein homodimerization activity, ion binding, RNA binding, and ATP bindingKEGG enrichment analysis suggested that DEGs were involved in metabolic pathways, MAPK signaling pathway, phagosome, protein processing in endoplasmic reticulum and T cell receptor signaling pathway.Conclusion 〓Genes involved in metabolic and signalling pathways are altered in obese children, which provides the foundation for further understanding the molecular pathogenesis of childhood obesity and developing treatments for this disorder.

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  • 在线发布日期: 2017-06-20
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