GSE113293
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.