通过综合生物信息学分析确定非梗阻性无精子症中与铁化相关的基因。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-08-01 Epub Date: 2024-06-20 DOI:10.1007/s10815-024-03155-0
Yanggang Hong, Qichao Yuan, Lingfei Wang, Zihan Yang, Peiyu Xu, Xiaoju Guan, Congde Chen
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引用次数: 0

摘要

目的:本研究旨在发现与非梗阻性无精子症相关的铁蛋白沉积相关基因(FRGs),并研究其相关的分子机制:方法:从基因表达总库(Gene Expression Omnibus)数据库中检索与无精子症相关的数据集,并从基因卡片(GeneCards)中获取FRGs。方法:从基因表达总库(Gene Expression Omnibus)数据库中检索无精子症相关数据集,并从基因卡片(GeneCards)中获取无精子症相关差异表达基因(FRGs)。随后,对这些基因进行了分析,包括基因本体和京都基因和基因组百科全书,以及蛋白质-蛋白质相互作用(PPI)网络和功能相似性评估。在确定枢纽基因后,研究人员对免疫浸润、单细胞表达、诊断作用以及枢纽基因、RNA结合蛋白(RBPs)、转录因子(TFs)、microRNAs(miRNAs)和药物之间的相互作用进行了探讨:结果:共发现了 35 个差异表达的 FRGs。结果:共发现 35 个差异表达的 FRGs,这些基因在与铁蛋白沉积相关的功能和通路中表现出富集。从 PPI 网络中筛选出 8 个枢纽基因。功能相似性分析强调了 HMOX1 和 GPX4 在无精子症中的潜在关键作用。对免疫细胞浸润的分析表明,无精子症组的活化树突状细胞显著减少,枢纽基因(尤其是 SAT1 和 HMGCR)与免疫细胞浸润之间存在明显的相关性。在人类睾丸的各种细胞类型中观察到了独特的中枢基因表达模式,其中 GPX4 在精子/精液中的表达最为丰富。八个中枢基因表现出强大的诊断价值(AUC > 0.75)。最后,我们构建了一个全面的中枢基因-miRNA-TF-RBP-药物网络:总之,我们的研究发现了八个与无精子症相关的 FRDEGs,它们有望成为诊断和治疗无精子症的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Integrative bioinformatics analysis to identify ferroptosis-related genes in non-obstructive azoospermia.

Purpose: The objective of this study was to discern ferroptosis-related genes (FRGs) linked to non-obstructive azoospermia and investigate the associated molecular mechanisms.

Method: A dataset related to azoospermia was retrieved from the Gene Expression Omnibus database, and FRGs were sourced from GeneCards. Ferroptosis-related differentially expressed genes (FRDEGs) were discerned. Subsequently, these genes underwent analyses encompassing Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, as well as protein-protein interaction (PPI) networks and assessments of functional similarity. Following the identification of hub genes, an exploration of immune infiltration, single-cell expression, diagnostic utility, and interactions involving hub genes, RNA-binding proteins (RBPs), transcription factors (TFs), microRNAs (miRNAs), and drugs was conducted.

Results: A total of 35 differentially expressed FRGs were discerned. These genes demonstrated enrichment in functions and pathways associated with ferroptosis. From the PPI network, eight hub genes were selected. Functional similarity analysis highlighted the potential pivotal roles of HMOX1 and GPX4 in azoospermia. Analysis of immune cell infiltration indicated a significant decrease in activated dendritic cells in the azoospermia group, with notable correlations between hub genes, particularly SAT1 and HMGCR, and immune cell infiltration. Unique expression patterns of hub genes across various cell types in the human testis were observed, with GPX4 prominently enriched in spermatid/sperm. Eight hub genes exhibited robust diagnostic value (AUC > 0.75). Lastly, a comprehensive hub gene-miRNA-TF-RBP-drug network was constructed.

Conclusion: In summary, our investigation unveiled eight FRDEGs associated with azoospermia, which hold potential as biomarkers for the diagnosis and treatment of azoospermia.

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