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解码精子发生程序:转录组分析的新见解。

Decoding the Spermatogenesis Program: New Insights from Transcriptomic Analyses.

机构信息

Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, USA; email:

Cellular and Molecular Biology Graduate Program, University of Michigan, Ann Arbor, Michigan, USA.

出版信息

Annu Rev Genet. 2022 Nov 30;56:339-368. doi: 10.1146/annurev-genet-080320-040045. Epub 2022 Sep 7.

Abstract

Spermatogenesis is a complex differentiation process coordinated spatiotemporally across and along seminiferous tubules. Cellular heterogeneity has made it challenging to obtain stage-specific molecular profiles of germ and somatic cells using bulk transcriptomic analyses. This has limited our ability to understand regulation of spermatogenesis and to integrate knowledge from model organisms to humans. The recent advancement of single-cell RNA-sequencing (scRNA-seq) technologies provides insights into the cell type diversity and molecular signatures in the testis. Fine-grained cell atlases of the testis contain both known and novel cell types and define the functional states along the germ cell developmental trajectory in many species. These atlases provide a reference system for integrated interspecies comparisons to discover mechanistic parallels and to enable future studies. Despite recent advances, we currently lack high-resolution data to probe germ cell-somatic cell interactions in the tissue environment, but the use of highly multiplexed spatial analysis technologies has begun to resolve this problem. Taken together, recent single-cell studies provide an improvedunderstanding of gametogenesis to examine underlying causes of infertility and enable the development of new therapeutic interventions.

摘要

精子发生是一个复杂的分化过程,在生精小管内和沿其进行时空协调。细胞异质性使得使用批量转录组分析获得特定生精细胞和体细胞的分子特征变得具有挑战性。这限制了我们理解精子发生调控以及将模式生物的知识整合到人类的能力。单细胞 RNA 测序 (scRNA-seq) 技术的最新进展为睾丸中的细胞类型多样性和分子特征提供了深入的了解。睾丸的精细细胞图谱包含已知和新颖的细胞类型,并定义了许多物种中沿生殖细胞发育轨迹的功能状态。这些图谱为进行种间综合比较提供了参考系统,以发现机制上的相似之处并为未来的研究提供支持。尽管最近取得了进展,但我们目前缺乏用于探测组织环境中生殖细胞-体细胞相互作用的高分辨率数据,但高度多重化的空间分析技术的使用已开始解决这个问题。总之,最近的单细胞研究提供了对配子发生的更好理解,以检查不孕的潜在原因,并为新的治疗干预措施的发展提供支持。

相似文献

1
Decoding the Spermatogenesis Program: New Insights from Transcriptomic Analyses.解码精子发生程序:转录组分析的新见解。
Annu Rev Genet. 2022 Nov 30;56:339-368. doi: 10.1146/annurev-genet-080320-040045. Epub 2022 Sep 7.
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New transcriptomic tools to understand testis development and functions.新的转录组学工具,用于理解睾丸的发育和功能。
Mol Cell Endocrinol. 2018 Jun 15;468:47-59. doi: 10.1016/j.mce.2018.02.019. Epub 2018 Mar 1.

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