Pluto Bioinformatics

GSE113293: Phenotyping spermatogenic defects by single-cell expression profiling

Bulk RNA sequencing

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. SOURCE: Don Conrad (don.conrad@wustl.edu) - Washington University in St. Louis