Assessment of differentially expressed genes from in vitro matured human oocytes: A bioinformatics approach.

IF 1.8 Q3 OBSTETRICS & GYNECOLOGY Jornal Brasileiro de Reproducao Assistida Pub Date : 2024-08-26 DOI:10.5935/1518-0557.20240030
Gabriel Acácio de Moura, Mayara Lobato Lourenço, Yasmim Mendes Rocha, João Pedro Viana Rodrigues, Cristian Vicson Pinheiro, Alice Soares de Queiroz, Eduardo de Paula Miranda, Sebastião Evangelista Torquato, Roberto Nicolete
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Abstract

Objective: One of the techniques that has gained much attention is the in vitro maturation of oocytes for patients who use assisted reproduction techniques. However, its results are still inferior to controlled ovarian stimulation methodologies. Understanding the maturation mechanisms based on analyses can help improve this methodology's results. The work aims to identify the central genes differentially expressed in oocytes after in vitro maturation in the germinal vesicle and metaphase II stages.

Methods: This work is a computational analysis. The entire search will be conducted using the Gene Expression Omnibus (GEO) database. To carry out and obtain the data present in the work, an advanced research search was carried out in the GEO database within the period from January 1, 2013, to January 1, 2023. A total of 27 genomic data were available in the GEO database, of which only two were used.

Results: Two datasets were identified on the Gene Expression Omnibus database platform: registration data GSE158802 and GSE95477. From the analysis, we identified five downregulated and thirty-six upregulated genes; the central genes that correlated with the main gene proteins found were CLTA and PANK1.

Conclusions: There was a differential regulation of gene expression. The most central ones are related to energy capture.

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体外成熟人类卵母细胞差异表达基因的评估:生物信息学方法
目的:为使用辅助生殖技术的患者进行卵母细胞体外成熟是备受关注的技术之一。然而,其结果仍不如控制性卵巢刺激方法。通过分析了解成熟机制有助于改善这种方法的效果。这项工作旨在确定卵母细胞体外成熟后在生殖泡和分裂期 II 阶段差异表达的中心基因:这项工作是一项计算分析。整个搜索将通过基因表达总库(GEO)数据库进行。为了进行和获得本作品中的数据,我们在 GEO 数据库中进行了高级研究搜索,搜索期限为 2013 年 1 月 1 日至 2023 年 1 月 1 日。GEO 数据库中共有 27 个基因组数据,其中只有两个数据被使用:在基因表达总库数据库平台上发现了两个数据集:登记数据 GSE158802 和 GSE95477。通过分析,我们发现了5个下调基因和36个上调基因;与发现的主要基因蛋白相关的中心基因是CLTA和PANK1:结论:基因表达存在差异调控。最主要的基因与能量捕获有关。
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CiteScore
3.30
自引率
6.70%
发文量
56
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