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首页> 外文期刊>The journal of obstetrics and gynaecology research >Genome medicine in male infertility: From karyotyping to single-cell analysis
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Genome medicine in male infertility: From karyotyping to single-cell analysis

机译:男性不育症的基因组医学:从核型分析到单细胞分析

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Male infertility is a multifactorial pathological condition that affects half of infertile couples. The majority of cases are categorized as idiopathic, especially in cases of nonobstructive azoospermia (NOA). An increasing number of genetic abnormalities have been shown to cause spermatogenic impairment with the development of microarray technologies and next-generation sequencing (NGS), moving beyond classical karyotype and polymerase chain reaction analyses of targeted genes. However, the majority of gene mutations, such as Klinefelter syndrome, azoospermia factor microdeletion, or congenital bilateral absence of the vas deferens, fail to function in a one gene-one phenotype manner. Single-cell transcriptome analysis performed using human testicular samples has begun to be published, which has brought about a more comprehensive understanding of testicular pathology. NGS also enables omics approaches, which provide more powerful tools to interrogate the genome, epigenome, transcriptome, and proteome. Simultaneously, the involvement of environmental factors and comorbidities, which may potentially regulate epigenetic factors, has been shown, resulting in a more complex understanding of the pathophysiology of spermatic disorders, especially NOA. The combination of phenotypic data and large amounts of bioinformatical data obtained by NGS may provide a more comprehensive understanding of the pathophysiology of male infertility, which will contribute not only to a diagnosis but also to the proper selection of infertility treatment and the development of new treatment modalities for male infertility.
机译:男性不育症是一种多因素的病理状态,影响一半的不育夫妇。大多数病例属于特发性,尤其是非梗阻性无精子症(NOA)。随着微阵列技术和下一代测序(NGS)的发展,越来越多的基因异常已被证明会导致生精障碍,这已经超越了对靶基因的经典核型和聚合酶链反应分析。然而,大多数基因突变,如Klinefelter综合征、无精子症因子微缺失或先天性双侧输精管缺失,不能以单基因单表型的方式发挥作用。利用人类睾丸样本进行的单细胞转录组分析已经开始发表,这使人们对睾丸病理学有了更全面的了解。NGS还支持组学方法,为研究基因组、表观基因组、转录组和蛋白质组提供了更强大的工具。同时,环境因素和共病的参与,可能会调节表观遗传因素,导致对精索疾病,尤其是NOA的病理生理学的更复杂理解。通过结合表型数据和NGS获得的大量生物信息学数据,可以更全面地了解男性不育的病理生理学,这不仅有助于诊断,而且有助于正确选择不育治疗方法和开发男性不育的新治疗模式。

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