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单细胞 RNA 测序让我们对哺乳动物精子发生有了哪些了解?

What has single-cell RNA-seq taught us about mammalian spermatogenesis?

机构信息

Department of Biology, University of Texas at San Antonio, San Antonio, Texas.

出版信息

Biol Reprod. 2019 Sep 1;101(3):617-634. doi: 10.1093/biolre/ioz088.

Abstract

Mammalian spermatogenesis is a complex developmental program that transforms mitotic testicular germ cells (spermatogonia) into mature male gametes (sperm) for production of offspring. For decades, it has been known that this several-weeks-long process involves a series of highly ordered and morphologically recognizable cellular changes as spermatogonia proliferate, spermatocytes undertake meiosis, and spermatids develop condensed nuclei, acrosomes, and flagella. Yet, much of the underlying molecular logic driving these processes has remained opaque because conventional characterization strategies often aggregated groups of cells to meet technical requirements or due to limited capability for cell selection. Recently, a cornucopia of single-cell transcriptome studies has begun to lift the veil on the full compendium of gene expression phenotypes and changes underlying spermatogenic development. These datasets have revealed the previously obscured molecular heterogeneity among and between varied spermatogenic cell types and are reinvigorating investigation of testicular biology. This review describes the extent of available single-cell RNA-seq profiles of spermatogenic and testicular somatic cells, how those data were produced and evaluated, their present value for advancing knowledge of spermatogenesis, and their potential future utility at both the benchtop and bedside.

摘要

哺乳动物的精子发生是一个复杂的发育过程,它将有丝分裂的睾丸生殖细胞(精原细胞)转化为成熟的雄性配子(精子),以产生后代。几十年来,人们已经知道,这个长达数周的过程涉及一系列高度有序和形态上可识别的细胞变化,精原细胞增殖,精母细胞进行减数分裂,精子细胞发育出浓缩的核、顶体和鞭毛。然而,驱动这些过程的大部分潜在分子逻辑仍然不透明,因为传统的特征描述策略通常会将细胞群聚集在一起以满足技术要求,或者由于细胞选择的能力有限。最近,大量的单细胞转录组研究开始揭示精子发生发育背后完整的基因表达表型和变化全貌。这些数据集揭示了以前在不同的精子发生细胞类型之间和之间隐藏的分子异质性,并正在重新激发对睾丸生物学的研究。这篇综述描述了现有的精子发生和睾丸体细胞的单细胞 RNA-seq 图谱的范围,这些数据是如何产生和评估的,它们对推进精子发生知识的当前价值,以及它们在实验台和床边的潜在未来应用。

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引用本文的文献

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Methods Mol Biol. 2025;2954:49-94. doi: 10.1007/978-1-0716-4698-4_3.
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Rate of testicular histology failure in predicting successful testicular sperm extraction.预测睾丸精子提取成功的睾丸组织学失败率。
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