摘要
      多囊卵巢综合征（PCOS）是一种以高雄激素血症为特征的内分泌紊乱。因此，可以利用多囊卵巢综合征患者的组织获得有关雄激素诱导的分子变化的信息。我们分析了正常和多囊卵巢综合征肌肉样本的两个微阵列数据集（GSE8157和GSE6798），以鉴定雄激素反应基因（ARGs）。使用t检验和数据集的荟萃分析来确定差异表达的基因。荟萃分析的显著结果与从外部数据库预测的ARGs之间的重叠被确定，然后在这些基因和其他基因之间应用差异共表达分析。我们在使用Benjamini–Hochberg多重检验校正的荟萃分析中发现了313个重要基因。在这些基因中，有61个在预测的ARGs列表中。当分析这61个基因和13545个通过方差过滤的基因之间的差异共表达时，使用Benjamini–Hochberg校正获得了540个显著的基因对。虽然没有获得关于差异表达基因的功能富集的显著结果，但顶级基因本体论术语在差异共表达基因列表中显著富集，这表明雄激素给药会影响广泛的细胞过程。我们的发现为ARGs的识别提供了有价值的信息。
Abstract
Polycystic ovarian syndrome (PCOS) is an endocrine disorder that is characterized by hyperandrogenism. Therefore, information about androgen-induced molecular changes can be obtained using the tissues of patients with PCOS. We analyzed two microarray datasets of normal and PCOS muscle samples (GSE8157 and GSE6798) to identify androgen-responsive genes (ARGs). Differentially expressed genes were determined using the t-test and a meta-analysis of the datasets. The overlap between significant results of the meta-analysis and ARGs predicted from an external database was determined, and differential coexpression analysis was then applied between these genes and the other genes. We found 313 significant genes in the meta-analysis using the Benjamini–Hochberg multiple testing correction. Of these genes, 61 were in the list of predicted ARGs. When the differential coexpression between these 61 genes and 13,545 genes filtered by variance was analyzed, 540 significant gene pairs were obtained using the Benjamini–Hochberg correction. While no significant results were obtained regarding the functional enrichment of the differentially expressed genes, top-level gene ontology terms were significantly enriched in the list of differentially coexpressed genes, which indicates that a broad range of cellular processes is affected by androgen administration. Our findings provide valuable information for the identification of ARGs.

https://www.mdpi.com/2227-9717/10/2/387