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空间转录组学在精子发生研究中的应用。

Applications of spatial transcriptomics in studying spermatogenesis.

作者信息

Xu Qianlan, Chen Haiqi

机构信息

Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

出版信息

Andrology. 2025 Jul;13(5):1181-1189. doi: 10.1111/andr.70043. Epub 2025 Apr 9.

DOI:10.1111/andr.70043
PMID:40202007
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12183010/
Abstract

Spermatogenesis is a complex differentiation process that is facilitated by a series of cellular and molecular events. High-throughput genomics approaches, such as single-cell RNA sequencing, have begun to enable the systematic characterization of these events. However, the loss of tissue context because of tissue disassociations in the single-cell isolation protocols limits our ability to understand the regulation of spermatogenesis and how defects in spermatogenesis lead to infertility. The recent advancement of spatial transcriptomics technologies enables the studying of the molecular signatures of various cell types and their interactions in the native tissue context. In this review, we discuss how spatial transcriptomics has been leveraged to identify spatially variable genes, characterize cellular neighborhood, delineate cell‒cell communications, and detect molecular changes under pathological conditions in the mammalian testis. We believe that spatial transcriptomics, along with other emerging spatially resolved omics assays, can be utilized to further our understanding of the underlying causes of male infertility, and to facilitate the development of new treatment approaches.

摘要

精子发生是一个复杂的分化过程,由一系列细胞和分子事件促成。高通量基因组学方法,如单细胞RNA测序,已开始能够对这些事件进行系统表征。然而,单细胞分离方案中由于组织解离导致的组织背景丧失,限制了我们理解精子发生调控以及精子发生缺陷如何导致不育的能力。空间转录组学技术的最新进展使得在天然组织背景下研究各种细胞类型的分子特征及其相互作用成为可能。在本综述中,我们讨论了如何利用空间转录组学来识别空间可变基因、表征细胞邻域、描绘细胞间通讯以及检测哺乳动物睾丸病理条件下的分子变化。我们相信,空间转录组学与其他新兴的空间分辨组学分析方法一起,可用于加深我们对男性不育潜在原因的理解,并促进新治疗方法的开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61e1/12183010/57c955764429/ANDR-13-1181-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61e1/12183010/57c955764429/ANDR-13-1181-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61e1/12183010/57c955764429/ANDR-13-1181-g001.jpg

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本文引用的文献

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Subcellular level spatial transcriptomics with PHOTON.使用PHOTON进行亚细胞水平空间转录组学研究。
Nat Commun. 2025 May 14;16(1):4457. doi: 10.1038/s41467-025-59801-3.
2
Development of functional spermatozoa in mammalian spermiogenesis.哺乳动物精子发生中功能性精子的发育。
Development. 2024 Jul 15;151(14). doi: 10.1242/dev.202838. Epub 2024 Jul 22.
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Genome-wide DNA methylation changes in human spermatogenesis.人类精子发生过程中的全基因组 DNA 甲基化变化。
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Molecular pixelation: spatial proteomics of single cells by sequencing.分子像素化:通过测序对单细胞进行空间蛋白质组学研究。
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Niche-DE: niche-differential gene expression analysis in spatial transcriptomics data identifies context-dependent cell-cell interactions.Niche-DE:空间转录组学数据中的生态位差异基因表达分析确定了依赖于上下文的细胞-细胞相互作用。
Genome Biol. 2024 Jan 12;25(1):14. doi: 10.1186/s13059-023-03159-6.
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Single-cell multi-omics analysis of human testicular germ cell tumor reveals its molecular features and microenvironment.单细胞多组学分析人类睾丸生殖细胞肿瘤揭示其分子特征和微环境。
Nat Commun. 2023 Dec 20;14(1):8462. doi: 10.1038/s41467-023-44305-9.
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Slide-tags enables single-nucleus barcoding for multimodal spatial genomics.幻灯片标签可实现多模式空间基因组学的单细胞核条形码技术。
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