Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany.
Sci Rep. 2018 Apr 25;8(1):6521. doi: 10.1038/s41598-018-24725-0.
Spermatogenesis in the mouse has been extensively studied for decades. Previous methods, such as histological staining or bulk transcriptome analysis, either lacked resolution at the single-cell level or were focused on a very narrowly defined set of factors. Here, we present the first comprehensive, unbiased single-cell transcriptomic view of mouse spermatogenesis. Our single-cell RNA-seq (scRNA-seq) data on over 2,500 cells from the mouse testis improves upon stage marker detection and validation, capturing the continuity of differentiation rather than artificially chosen stages. scRNA-seq also enables the analysis of rare cell populations masked in bulk sequencing data and reveals new insights into the regulation of sex chromosomes during spermatogenesis. Our data provide the basis for further studies in the field, for the first time providing a high-resolution reference of transcriptional processes during mouse spermatogenesis.
几十年来,人们对小鼠的精子发生进行了广泛的研究。以前的方法,如组织学染色或批量转录组分析,要么在单细胞水平上缺乏分辨率,要么只关注非常狭义的一组因素。在这里,我们首次提供了小鼠精子发生的全面、无偏的单细胞转录组视图。我们的单细胞 RNA-seq(scRNA-seq)数据来自小鼠睾丸的 2500 多个细胞,提高了阶段标记物的检测和验证,捕捉了分化的连续性,而不是人为选择的阶段。scRNA-seq 还能够分析在批量测序数据中被掩盖的稀有细胞群,并揭示了性染色体在精子发生过程中的调控的新见解。我们的数据为该领域的进一步研究提供了基础,首次提供了小鼠精子发生过程中转录过程的高分辨率参考。