Yang Huixia, Kolben Thomas, Kessler Mirjana, Meister Sarah, Paul Corinna, van Dorp Julia, Eren Sibel, Kuhn Christina, Rahmeh Martina, Herbst Cornelia, Fink Sabine Gabriele, Weimer Gabriele, Mahner Sven, Jeschke Udo, von Schönfeldt Viktoria
Department of Obstetrics and Gynecology, University Hospital, Ludwig-Maximilians-University, 81377 Munich, Germany.
Department of Obstetrics and Gynecology, University Hospital Augsburg, 86156 Augsburg, Germany.
Biomedicines. 2022 Jan 25;10(2):257. doi: 10.3390/biomedicines10020257.
Aging is the main cause of decline in oocyte quality, which can further trigger the failure of assisted reproductive technology (ART). Exploring age-related genes in oocytes is an important way to investigate the molecular mechanisms involved in oocyte aging. To provide novel insight into this field, we performed a pooled analysis of publicly available datasets, using the overlapping results of two statistical methods on two Gene Expression Omnibus (GEO) datasets. The methods utilized in the current study mainly include Spearman rank correlation, the Wilcoxon signed-rank test, -tests, Venn diagrams, Gene Ontology (GO), Protein-Protein Interaction (PPI), Gene Set Enrichment Analysis (GSEA), Gene Set Variation Analysis (GSVA), and receiver operating characteristic (ROC) curve analysis. We identified hundreds of age-related genes across different gene expression datasets of in vitro maturation-metaphase II (IVM-MII) oocytes. Age-related genes in IVM-MII oocytes were involved in the biological processes of cellular metabolism, DNA replication, and histone modifications. Among these age-related genes, expression presented a robust correlation with age, seen in the results of different statistical methods and different datasets. is associated with the processes of chromosome segregation and cell cycle regulation. Thus, this enzyme is potentially an interesting novel marker for the aging of oocytes, and warrants further mechanistic study.
衰老乃是卵母细胞质量下降的主要原因,这会进一步引发辅助生殖技术(ART)的失败。探索卵母细胞中与年龄相关的基因是研究卵母细胞衰老所涉及分子机制的重要途径。为了给该领域提供新的见解,我们对公开可用的数据集进行了汇总分析,使用了两种统计方法在两个基因表达综合数据库(GEO)数据集上的重叠结果。当前研究中使用的方法主要包括斯皮尔曼等级相关、威尔科克森符号秩检验、t检验、维恩图、基因本体论(GO)、蛋白质-蛋白质相互作用(PPI)、基因集富集分析(GSEA)、基因集变异分析(GSVA)以及受试者工作特征(ROC)曲线分析。我们在体外成熟-中期II(IVM-MII)卵母细胞的不同基因表达数据集中鉴定出了数百个与年龄相关的基因。IVM-MII卵母细胞中与年龄相关的基因参与了细胞代谢、DNA复制和组蛋白修饰的生物学过程。在这些与年龄相关的基因中,[具体基因名称]的表达与年龄呈现出强烈的相关性,这在不同的统计方法和不同的数据集中都有体现。[具体基因名称]与染色体分离和细胞周期调控过程相关。因此,这种酶可能是一种有趣的新型卵母细胞衰老标志物,值得进一步进行机制研究。