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Bioinformatics analysis of gene expression profiles in B cells of postmenopausal osteoporosis patients

机译:绝经后骨质疏松症患者B细胞基因表达谱的生物信息学分析

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Objective The aim of this study was to gain a better understanding of the molecular mechanisms and identify more critical genes associated with the pathogenesis of postmenopausal osteoporosis (PMOP). Materials and Methods Microarray data of GSE13850 were download from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified either in B cells from postmenopausal female nonsmokers with high bone mineral density (BMD) compared with those with low BMD (defined as DEG1 group) or in B cells from postmenopausal female smokers with high BMD compared with postmenopausal female nonsmokers with high BMD (defined as DEG2 group). Gene ontology and immune-related functional enrichment analysis of DEGs were performed. Additionally, the protein–protein interaction network of all DEGs was constructed and subnetworks of the hub genes were extracted. Results A total of 51 DEGs were identified in the DEG1 group, including 30 up- and 21 downregulated genes. Besides, 86 DEGs were identified in the DEG2 group, of which 46 were upregulated and 40 were downregulated. Immune enrichment analysis showed DEGs were mainly enriched in functions of CD molecules and chemokines and receptor, and the upregulated gene interleukin 4 receptor ( IL-4R ) was significantly enriched. Moreover, guanine nucleotide-binding protein G (GNAI2), filamin A alpha (FLNA), and transforming growth factor-β1 (TGFB1) were hub proteins in the protein–protein interaction network. Conclusion IL-4R , GNAI2 , FLNA , and TGFB1 may be potential target genes associated with the pathogenesis of PMOP. In particular, FLNA , and TGFB1 may be affected by smoking, a risk factor of PMOP.
机译:目的这项研究的目的是更好地了解分子机制,并确定与绝经后骨质疏松症(PMOP)发病机制相关的更多关键基因。材料和方法GSE13850的微阵列数据可从Gene Expression Omnibus数据库下载。在绝经后女性非吸烟者的B细胞中鉴定出差异表达基因(DEG),这些女性的骨矿物质密度高(BMD)与低BMD(定义为DEG1组)相比,在绝经后女性吸烟者的BMD中与BMD较高相比BMD高的女性非吸烟者(定义为DEG2组)。进行了基因本体论和DEGs的免疫相关功能富集分析。此外,构建了所有DEG的蛋白质间相互作用网络,并提取了中枢基因的亚网络。结果DEG1组共鉴定出51个DEG,包括30个上调基因和21个下调基因。此外,在DEG2组中鉴定出86个DEG,其中上调46个,下调40个。免疫富集分析表明DEGs主要富集CD分子,趋化因子和受体的功能,而上调的基因白介素4受体(IL-4R)则显着富集。此外,鸟嘌呤核苷酸结合蛋白G(GNAI2),纤维蛋白Aα(FLNA)和转化生长因子β1(TGFB1)是蛋白-蛋白相互作用网络中的中枢蛋白。结论IL-4R,GNAI2,FLNA和TGFB1可能是与PMOP发病相关的潜在靶基因。特别是,FLNA和TGFB1可能会受到吸烟(PMOP的危险因素)的影响。

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