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Mesenchymal-epithelial transition serves to rapidly, yet transiently, restore the endometrial epithelium during postpartum uterine regeneration

GSE296238 Mus musculus (mouse) Single-nucleus RNA-seq 12 samples Submitted 2026/05/01 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 12 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). 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
12 samples: 6 conditions, mostly in duplicateGroups 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.
Summary (written by the submitters)
The uterus is a remarkable organ in its ability to undergo extensive tissue damage during menstruation and parturition, yet achieves efficient, scar-free repair. Coordinated regulation of this regenerative process is essential for uterine homeostasis and fertility; however, the underlying mechanisms remain incompletely understood. Here, we demonstrate that mesenchymal-to-epithelial transition (MET) is a critical contributor to postpartum endometrial regeneration using PdgfraCreERT2/+; Rosa26-tdTomatofl/+ lineage tracing mice.
Read the full summary ↓
Flow cytometry revealed a marked increase in mesenchymal-derived (MD) epithelial cells during active tissue repair. Notably, these cells are transient, undergoing clearance primarily via apoptosis following epithelial restoration. We also identified a migratory population of transitional cells of mesenchymal origin within the mesometrial stroma that incorporate into the luminal epithelium, consistent with an active MET program. Single-nucleus RNA sequencing (snRNA-seq) revealed that MD epithelial cells exhibit gene expression profiles associated with cell adhesion and cytoskeletal remodeling, while transitional cells were enriched for genes involved in junctional assembly and actin dynamics. MET-associated genes were significantly upregulated in both transitional and MD epithelial populations. Cell-cell communication analysis highlighted WNT, BMP, and EPHA signaling as candidate regulators of MET during regeneration. Together, these findings provide confirmation of MET as a physiologic mechanism of postpartum endometrial repair and uncover a coordinated signaling network that drives this process. Disruption of MET may contribute to pathologies such as endometriosis or endometrial cancer, underscoring the importance of understanding mesenchymal-epithelial plasticity in both normal and disease states.
This dataset
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.

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 GSE296238_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1255300 and SRA study SRP581405. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
adult female uterus PPD4 ×2 adult female uterus PPD3 ×2 adult female uterus PPD28 ×2 adult female uterus PPD2 ×2 adult female uterus PPD1 ×2 adult female uterus E18.5 ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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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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.