GEO series
Progesterone receptor (PGR)-mediated transcriptional networks in human ovulatory follicles: Identification of SOX9 as a novel PGR-downstream mediator [RNA-seq]
GSE286909
Homo sapiens
Expression profiling by high throughput sequencing
12 samples
2026/04/17
GPL24676
Summary
Progesterone receptor (PGR) is an essential transcription factor for successful ovulation. Clinically, PGR inhibitors have been used as emergency contraceptives due to their ability to delay or block ovulation. While much of the current understanding of PGR’s function has been derived from animal models, the specific downstream target genes and pathways PGR regulates in human ovulatory follicles remain largely unexplored. In the present study, we utilized a human granulosa cell (hGLC) model that mimics preovulatory hCG-induced increases in PGR expression and progesterone production, combined with a PGR inhibitor (RU486), to identify hCG-induced, PGR-regulated genes in human ovulatory follicles. RNA-Seq and ChIP-Seq analyses revealed numerous genes regulated by PGR in response to human chorionic gonadotropin (hCG) treatment for 12 h, which are involved in diverse biological processes, including metabolism, steroidogenesis, signaling activation, cell cycle regulation, and transcriptional control. By comparing these findings with the existing data from PgrKO mouse models, we also identified both conserved and species-specific PGR-regulated genes. Notably, SOX9 was identified as a human-specific, hCG-induced PGR-target gene in hGLCs. A further characterization study using dominant follicle samples collected before and at different times after ovulatory hCG administration from regularly cycling women demonstrated that SOX9 expression is predominantly induced in the granulosa cells of ovulatory follicles and persists in the developing corpus luteum. Functional studies showed that SOX9 knockdown by siRNA reduced progesterone production and the expression of steroidogenesis-related genes (CYP11A1 and STAR) in hGLCs. In summary, the present finding provides the first comprehensive list of preovulatory PGR-downstream genes in human granulosa cells and unveils SOX9 as a novel human-specific ovulatory transcription factor with potential roles in steroidogenesis. This foundational information not only enhances our understanding of the PGR-regulated ovulatory pathway but also provides a critical resource for developing improved strategies to manage women’s fertility.
Download
NCBI GEO page ↗
Paper (PMID 42211115) ↗
{# 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
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 samples
- GSE341139 A conserved HAND2-BMP5-SMAD1/5/9 axis drives hepatic stellate cell activation and extracellular matrix overproduction in multiple fibrotic etiologies 10 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.