Robust methods have been developed that leverage next-generation sequencing (NGS) to measure abundance of all mRNAs (RNA-seq) in samples as small as individual cells in order to study the testicular transcriptome in mammals. In this chapter, we present robust options for implementing bioinformatics workflows for the analysis of bulk RNA-seq from aggregate samples of hundreds to millions of cells and single-cell RNA-seq from individual cells. We also provide detailed protocols for using the R packages DESeq2 and Seurat, important parameters for successful implementation, and considerations for drawing conclusions from the results.
Keywords: Bioinformatics; Bulk RNA-seq; Single-cell RNA-seq; Spermatogenesis.
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.