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ALDH1A1+ cells are endometrial progenitors contributing to regeneration and endometriosis [Human]

GSE294255 Homo sapiens (human) Single-cell RNA-seq 8 samples Submitted 2026/07/01 Platform GPL34284
At a glance

Single-cell RNA-seq · human · 8 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
Homo sapiens (human)
Samples
8 samples
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)
Endometrial stem cells and their regenerative properties are implicated in the pathogenesis of endometriosis. Using single-cell RNA sequencing of the adult mouse endometrial epithelium, we identified a sub-population of aldehyde dehydrogenase 1a1+ (Aldh1a1+) stem-like cells that co-expresses stemness genes (Lgr5, Axin2) and lack proliferative markers (Top2a, Mki67).
Read the full summary ↓
Using an Aldh1a1cre/ERT2;ROSA26tdTomato reporter mouse, we found that Aldh1a1+ cells give rise to long-lived endometrial cells and contribute to post-partum endometrial repair. Selective ablation of ALDH1A1+ cells with diphtheria toxin (DT) in Aldh1a1cre/ERT2; ROSA26-DTRflox/flox mice decreased glands and FOXA2 expression in vivo. Mouse and human ALDHHI endometrial cells had higher organoid formation capacity and stem-like gene signatures than ALDHLO cells. Ectopic lesion-derived organoids showed higher ALDH activity than patient-matched eutopic cells and displayed enriched pro-inflammatory, stemness, and ciliated cell transcriptomes. Here we provide evidence that ALDH1A1+ cells display progenitor/stem cell characteristics in the endometrium and contribute to the pathology of endometriosis.
This dataset
Open GSE294255 in finder → Find more human 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 GSE294255_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 PRJNA1248889 and SRA study SRP577680. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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