Whitehead Institute for Biomedical Research and Department of Biology, Massachusetts Institute of Technology, Howard Hughes Medical Institute, Cambridge, United States.
Department of Cell and Developmental Biology, The Perelman School of Medicine and The Penn Institute for Regenerative Medicine, Philadelphia, United States.
Elife. 2023 Feb 16;12:e82201. doi: 10.7554/eLife.82201.
Proper differentiation of sperm from germline stem cells, essential for production of the next generation, requires dramatic changes in gene expression that drive remodeling of almost all cellular components, from chromatin to organelles to cell shape itself. Here, we provide a single nucleus and single cell RNA-seq resource covering all of spermatogenesis in starting from in-depth analysis of adult testis single nucleus RNA-seq (snRNA-seq) data from the Fly Cell Atlas (FCA) study. With over 44,000 nuclei and 6000 cells analyzed, the data provide identification of rare cell types, mapping of intermediate steps in differentiation, and the potential to identify new factors impacting fertility or controlling differentiation of germline and supporting somatic cells. We justify assignment of key germline and somatic cell types using combinations of known markers, in situ hybridization, and analysis of extant protein traps. Comparison of single cell and single nucleus datasets proved particularly revealing of dynamic developmental transitions in germline differentiation. To complement the web-based portals for data analysis hosted by the FCA, we provide datasets compatible with commonly used software such as Seurat and Monocle. The foundation provided here will enable communities studying spermatogenesis to interrogate the datasets to identify candidate genes to test for function in vivo.
正确地区分生殖细胞和生殖干细胞对于产生下一代至关重要,这需要基因表达的剧烈变化,从而驱动几乎所有细胞成分的重塑,从染色质到细胞器到细胞本身的形状。在这里,我们提供了一个涵盖整个精子发生过程的单个细胞核和单个细胞 RNA-seq 资源,该资源源自对来自 Fly Cell Atlas (FCA) 研究的成年睾丸单细胞 RNA-seq (snRNA-seq) 数据的深入分析。通过分析超过 44000 个细胞核和 6000 个细胞,该数据提供了稀有细胞类型的鉴定、分化中间步骤的映射,以及识别新的影响生育力或控制生殖细胞和支持体细胞分化的因素的潜力。我们使用已知标记物、原位杂交和对现存蛋白陷阱的分析,合理地分配了关键的生殖细胞和体细胞类型。单细胞和单核数据集的比较特别揭示了生殖细胞分化中的动态发育转变。为了补充 FCA 托管的数据分析网络门户,我们提供了与常用软件(如 Seurat 和 Monocle)兼容的数据集。这里提供的基础将使研究精子发生的社区能够利用这些数据集来鉴定候选基因,以在体内测试其功能。