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Epas1 expression is controlled by the progesterone receptor and regulates hCG-induced gene expression in Granulosa Cells during ovulation in mice.

GSE299175 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/02/15 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
16 samples: 4 × Mouse ovary, vehicle control, vs 4 × Mouse ovary, PT-2385, vs 4 × Mouse kidney, vehicle control, vs 4 × Mouse kidney, PT-2385,Groups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
HIF-2α expression is controlled by the progesterone receptor and regulates hCG-induced gene expression in granulosa cells during ovulation in miceMolecular and cellular endocrinology · 2026
Summary (written by the submitters)
Ovulation is induced via a surge in gonadotrophin hormones, which increases the expression of the essential ovulatory transcription factor progesterone receptor (PGR) and its target genes. The importance of PGR in ovulation is well defined; however, the role of its many downstream genes largely remains unknown. Using mouse models of ovulation, we show that the Epas1 gene, which encodes the hypoxia inducible transcription factor 2α (HIF-2α), is expressed in a PGR-dependent manner during ovulation.
Read the full summary ↓
Numerous HIF target genes increase in expression upon gonadotrophin stimulation in mouse granulosa cells, with expression of Epas1, but not its related isoform, Hif1a, increasing in a PGR-dependent manner. PGR directly binds introns of the Epas1 locus to enhance chromatin accessibility in ovarian granulosa cells in vivo, yet no evidence of PGR-dependent Epas1 expression was observed in PGR-expressing breast cancer cell lines, suggesting ovary-specific mechanisms of PGR-dependent Epas1 regulation. PGR activation in response to hormonal stimulation induced expression of a HIF reporter system in primary human granulosa cells, with HIF-2 inhibition with the small molecule PT-2385 confirming a HIF-2 contribution to this response. Upon HIF-2 inhibition with PT-2385 in mice, no change in ovulation counts were observed. However, gonadotrophin-induced ovary gene expression was significantly disrupted, supporting a model where HIF-2α contributes to the control of periovulatory gene expression downstream of PGR. In particular, inflammatory gene expression was dysregulated and a cohort of gonadotrophin-dependent genes, including Pgr, were elevated, suggesting impaired downregulation post-ovulation. These findings provide an important insight into regulation of the hypoxia inducible transcription factors during ovulation and how targeting HIF-2α may be of benefit in future fertility treatments.
Published in
HIF-2α expression is controlled by the progesterone receptor and regulates hCG-induced gene expression in granulosa cells during ovulation in mice
Roennfeldt AE, Dinh DT, McPhee TR et al. · Molecular and cellular endocrinology 2026 · PMID 41643762 · doi:10.1016/j.mce.2026.112754
This dataset
Open GSE299175 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE299175_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1273026 and SRA study SRP590371. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41643762) ↗
Study design
4 × Mouse ovary, vehicle control, vs 4 × Mouse ovary, PT-2385, vs 4 × Mouse kidney, vehicle control, vs 4 × Mouse kidney, PT-2385,

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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