GEO series
Divergent regulatory element programs steer sex-specific supporting cell differentiation along mouse gonadal development [RNA-Seq]
GSE277647
Mus musculus
Expression profiling by high throughput sequencing
24 samples
2025/06/01
GPL21626
Summary
Identifying cis-regulatory elements is essential for understanding how gene expression is precisely controlled during critical biological processes like sex determination. In this study, we aimed to uncover the cis-regulatory regions involved in the differentiation of supporting cells as Sertoli cells or pre-granulosa cells in the mouse gonads. To achieve this, we combined RNA sequencing (RNA-seq) and Assay for Transposase-Accessible Chromatin sequencing (ATAC-seq) of purified supporting cells at four developmental stages in both sexes. RNA-seq enabled us to capture sexual and temporal changes in gene expression during cell differentiation, while ATAC-seq provided insight into chromatin accessibility, pinpointing regulatory regions that control these expression patterns. By integrating these two datasets, we identified specific cis-regulatory elements that likely guide the fate of supporting cells. Our findings shed light on the complex gene regulatory networks involved in sex fate differentiation, highlighting the critical role of cis-regulatory elements in orchestrating this process. These insights may also have implications for understanding disorders of sexual development (DSDs).
Download
NCBI GEO page ↗
Paper (PMID 40712010) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
mouse RNA-seq datasets →
Similar datasets
- GSE292862 Modelling mouse embryogenesis from chemically induced totipotent stem cells 22 samples
- GSE185862 A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation 95 samples
- GSE334940 Tissue nanotransfection-mediated induction of neurogenic programs promotes myoprotective responses in denervated skeletal muscle 15 samples
- GSE304862 Semaglutide and exercise synergy in obesity: preserving muscle mass and uncovering organ crosstalk 209 samples
- GSE343043 Disease context dictates the cellular targets of IL-17 in inflammatory skin disease 29 samples
- GSE341948 Multi-tissue transcriptomic landscape reveals synergistic mechanisms of exercise and GLP-1 agonist in ameliorating diabetic phenotypes in db/db mice 12 samples
- GSE293315 MRPGRX2 Antagonist Treatment Prevents Inflammation and Disease in a Mouse Model of Atopic Dermatitis Dataset 2 35 samples
- GSE321707 Characterization of TLR signaling in Ticam2-/- macrophages 30 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.