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单细胞 RNA 测序分析揭示了人类精子发生过程中的顺序细胞命运转变。

Single-Cell RNA Sequencing Analysis Reveals Sequential Cell Fate Transition during Human Spermatogenesis.

机构信息

Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, PRC; Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangdong 510515, PRC.

Department of Obstetrics and Gynecology, Beijing Advanced Innovation Center for Genomics, College of Life Sciences, Third Hospital, Peking University, Beijing 100871, PRC; Biomedical Pioneering Innovation Center and Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, PRC.

出版信息

Cell Stem Cell. 2018 Oct 4;23(4):599-614.e4. doi: 10.1016/j.stem.2018.08.007. Epub 2018 Aug 30.

Abstract

Spermatogenesis generates mature male gametes and is critical for the proper transmission of genetic information between generations. However, the developmental landscapes of human spermatogenesis remain unknown. Here, we performed single-cell RNA sequencing (scRNA-seq) analysis for 2,854 testicular cells from donors with normal spermatogenesis and 174 testicular cells from one nonobstructive azoospermia (NOA) donor. A hierarchical model was established, which was characterized by the sequential and stepwise development of three spermatogonia subtypes, seven spermatocyte subtypes, and four spermatid subtypes. Further analysis identified several stage-specific marker genes of human germ cells, such as HMGA1, PIWIL4, TEX29, SCML1, and CCDC112. Moreover, we identified altered gene expression patterns in the testicular somatic cells of one NOA patient via scRNA-seq analysis, paving the way for further diagnosis of male infertility. Our work allows for the reconstruction of transcriptional programs inherent to sequential cell fate transition during human spermatogenesis and has implications for deciphering male-related reproductive disorders.

摘要

精子发生产生成熟的雄性配子,对于遗传信息在代际间的正常传递至关重要。然而,人类精子发生的发育图谱仍不清楚。在这里,我们对 2854 个来自正常精子发生供体的睾丸细胞和 174 个来自 1 个非梗阻性无精子症(NOA)供体的睾丸细胞进行了单细胞 RNA 测序(scRNA-seq)分析。建立了一个层次模型,其特征是三个精原细胞亚型、七个精母细胞亚型和四个精子细胞亚型的顺序和逐步发育。进一步的分析确定了几个人类生殖细胞的阶段特异性标记基因,如 HMGA1、PIWIL4、TEX29、SCML1 和 CCDC112。此外,我们通过 scRNA-seq 分析鉴定了一个 NOA 患者睾丸体细胞中改变的基因表达模式,为男性不育症的进一步诊断铺平了道路。我们的工作允许重建人类精子发生过程中顺序细胞命运转变所固有的转录程序,并为解码与男性相关的生殖障碍提供了线索。

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