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整合微阵列和单细胞RNA测序数据以及机器学习可识别精原干细胞中关键组蛋白修饰基因的变化。

Integration of Microarray and Single-Cell RNA-Seq Data and Machine Learning Allows the Identification of Key Histone Modification Gene Changes in Spermatogonial Stem Cells.

作者信息

Shakeri Abroudi Ali, Azizi Hossein, Djamali Melika, Qorbanee Ali, Skutella Thomas

机构信息

Department of Cellular and Molecular Biology, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran 1936893813, Iran.

Faculty of Biotechnology, Amol University of Special Modern Technologies, Amol 4615664616, Iran.

出版信息

Biology (Basel). 2025 Apr 8;14(4):387. doi: 10.3390/biology14040387.

DOI:10.3390/biology14040387
PMID:40282252
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12024924/
Abstract

Histone modifications play a critical role in regulating gene expression and maintaining the functionality of spermatogonial stem cells (SSCs), which are essential for male fertility and spermatogenesis. In this study, we integrated microarray and single-cell RNA-sequencing (scRNA-seq) data to identify key histone modification gene changes associated with SSC function and aging. Through differential expression analysis, we identified 2509 differentially expressed genes (DEGs) in SSCs compared to fibroblasts. Among these, genes involved in histone modification, such as KDM5B, SCML2, SIN3A, and ASXL3, were highlighted for their significant roles in chromatin remodeling and gene regulation. Protein-protein interaction (PPI) networks and gene ontology (GO) enrichment analysis revealed critical biological processes such as chromatin organization, histone demethylation, and chromosome structure maintenance. Weighted gene co-expression network analysis (WGCNA) further revealed three key modules of co-expressed genes related to spermatogonial aging. Additionally, ligand-receptor interaction scoring based on tumor microenvironment analysis suggested potential signaling pathways that could influence the stemness and differentiation of SSCs. Our findings provide new insights into the molecular mechanisms underlying SSC aging, highlighting histone modification genes as potential therapeutic targets for preserving male fertility and improving SSC-culturing techniques. This study advances our understanding of histone modification in SSC biology and will serve as a valuable resource for future investigations into male fertility preservation.

摘要

组蛋白修饰在调节基因表达和维持精原干细胞(SSCs)的功能中起着关键作用,而精原干细胞对于男性生育能力和精子发生至关重要。在本研究中,我们整合了微阵列和单细胞RNA测序(scRNA-seq)数据,以确定与精原干细胞功能和衰老相关的关键组蛋白修饰基因变化。通过差异表达分析,我们确定了与成纤维细胞相比,精原干细胞中有2509个差异表达基因(DEGs)。其中,参与组蛋白修饰的基因,如KDM5B、SCML2、SIN3A和ASXL3,因其在染色质重塑和基因调控中的重要作用而受到关注。蛋白质-蛋白质相互作用(PPI)网络和基因本体(GO)富集分析揭示了染色质组织、组蛋白去甲基化和染色体结构维持等关键生物学过程。加权基因共表达网络分析(WGCNA)进一步揭示了与精原细胞衰老相关的三个关键共表达基因模块。此外,基于肿瘤微环境分析的配体-受体相互作用评分表明了可能影响精原干细胞干性和分化的潜在信号通路。我们的研究结果为精原干细胞衰老的分子机制提供了新的见解,突出了组蛋白修饰基因作为保护男性生育能力和改进精原干细胞培养技术的潜在治疗靶点。这项研究推进了我们对精原干细胞生物学中组蛋白修饰的理解,并将成为未来男性生育力保护研究的宝贵资源。

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本文引用的文献

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Int J Mol Sci. 2024 Dec 7;25(23):13177. doi: 10.3390/ijms252313177.
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Microenvironment of spermatogonial stem cells: a key factor in the regulation of spermatogenesis.精原干细胞的微环境:调控精子发生的关键因素。
Stem Cell Res Ther. 2024 Sep 11;15(1):294. doi: 10.1186/s13287-024-03893-z.
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Altered G-Protein Transduction Protein Gene Expression in the Testis of Infertile Patients with Nonobstructive Azoospermia.
非梗阻性无精子症不育患者睾丸中G蛋白转导蛋白基因表达的改变
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Functions and mechanism of noncoding RNA in regulation and differentiation of male mammalian reproduction.非编码RNA在雄性哺乳动物生殖调控与分化中的功能及机制
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OCT4 protein and gene expression analysis in the differentiation of spermatogonia stem cells into neurons by immunohistochemistry, immunocytochemistry, and bioinformatics analysis.OCT4 蛋白和基因表达分析在精原干细胞向神经元分化中的作用:免疫组织化学、免疫细胞化学和生物信息学分析。
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Multiomics approach to profiling Sertoli cell maturation during development of the spermatogonial stem cell niche.采用多组学方法分析精原干细胞龛发育过程中支持细胞成熟的特征。
Mol Hum Reprod. 2023 Feb 28;29(3). doi: 10.1093/molehr/gaad004.
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Epigenetic Regulations in Autoimmunity and Cancer: from Basic Science to Translational Medicine.自身免疫与癌症中的表观遗传调控:从基础科学到转化医学
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VASA protein and gene expression analysis of human non-obstructive azoospermia and normal by immunohistochemistry, immunocytochemistry, and bioinformatics analysis.通过免疫组织化学、免疫细胞化学和生物信息学分析,研究人类非阻塞性无精子症和正常精子中 VASA 蛋白和基因的表达。
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