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Progesterone signaling in oviductal epithelial cells modulates the immune response to support preimplantation embryonic development

GSE277515 Mus musculus (mouse) Single-cell RNA-seq 14 samples Submitted 2025/04/23 Platform GPL19057Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 14 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
14 samples: 14 samples, each with a distinct title — no replicated groupsGroups 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
Progesterone signaling in oviductal epithelial cells modulates the immune response to support preimplantation embryonic developmentScience advances · 2025
Summary (written by the submitters)
More than 60% of pregnancy loss occurs during the first trimester. As we lack a complete understanding of the environment within the oviduct (Fallopian tube in humans) and its role in regulating early pregnancy, it is difficult to provide diagnostic tools for oviductal origin of early pregnancy loss. To determine the role of progesterone (P4), we conditionally ablated the classical P4 receptor (Pgr) in oviductal epithelial cells using the Wnt7aCre/+;Pgrf/f (hereafter Pgrd/d) mouse model.
Read the full summary ↓
Approximately 40% of embryos collected from Pgrd/d females at 3.5 days post-coitus were nonviable or developmentally delayed suggesting that epithelial PGR expression in the oviduct is required for normal embryonic development. Single-cell RNA-sequencing analysis showed an upregulation of genes involved in proinflammatory pathway (i.e., interleukin 22 (IL-22) and genes in IL-22 signaling) in secretory epithelial cells of Pgrd/d females as compared to controls. A loss of PGR in the epithelial cells resulted in an increase immune cell recruitment into the oviduct as compared to controls. Conversely, ovariectomized wild-type (WT) females treated with exogenous P4 showed a reduced expression of inflammatory response genes. Pharmacological inhibition of inflammation using non-steroidal anti-inflammatory drugs significantly reduced IL-22 levels in the oviducts and rescued embryo developmental rates in Pgrd/d females. Co-culture of WT zygotes with IL-22 significantly decreased the number of expanded blastocysts. Our findings indicate that P4 signaling through the classical PGR in oviductal epithelial cells is required for the immunoregulatory function and is indispensable for normal preimplantation embryonic development. These data may contribute to an understanding of the mechanisms underlying pre-implantation pregnancy failure, which can inform the development of targeted diagnostic tools and therapeutic interventions to improve reproductive outcomes when embryonic aneuploidy is not present.
Published in
Progesterone signaling in oviductal epithelial cells modulates the immune response to support preimplantation embryonic development
McGlade EA, Mao J, Stephens KK et al. · Science advances 2025 · PMID 40249812 · doi:10.1126/sciadv.adt6113
This dataset
Open GSE277515 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 GSE277515_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1162554 and SRA study SRP533445. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40249812) ↗
Study design
14 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 14 sample titles: 14 distinct titles with little repetition. 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
Datasets on a similar topic

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