A new publication from the lab presents a high-resolution single-nucleus and single-cell RNA-seq dataset spanning Drosophila spermatogenesis, analyzing over 44,000 nuclei and 6,000 cells from the Fly Cell Atlas. The data map rare and intermediate cell types, reveal dynamic transitions in germline differentiation, and provide validated cell-type assignments using known markers and in situ methods. Datasets are made available in user-friendly formats (e.g., Seurat, Monocle), offering a valuable resource for identifying genes that regulate fertility and germline development.