Phenotyping spermatogenic defects by single-cell expression profiling

Using Drop-seq, we generated high-throughput single-cell expression data from wild-type and four mutant models with male infertility phenotype. Our study demonstrates the applicability of single-cell RNA-sequencing in study of male gonadal dysfunction and provides cell atlas resource for testis. Overall design: Drop-seq was performed on FACS sorted germ cell populations, wild-type whole testes and mutant whole testes. Different experimental batches for wild-type and mutant strains were generated.本研究利用Drop-seq技术，从携带雄性不育表型的野生型及4种突变模型中获取了高通量单细胞表达谱数据。本研究证实了单细胞RNA测序（single-cell RNA-sequencing）在雄性性腺功能异常研究中的应用可行性，并为睾丸组织提供了细胞图谱资源。整体实验设计：我们对经荧光激活细胞分选（Fluorescence-Activated Cell Sorting, FACS）得到的生殖细胞群、野生型完整睾丸组织以及突变型完整睾丸组织开展了Drop-seq实验。针对野生型与突变型品系分别设置了不同的实验批次。