← BioTransfer GEO Dataset Finder
GEO series

Gene expression profiling of corneal and limbal epithelial cells in young and aged mice

GSE274984 Mus musculus (mouse) RNA-seq (gene expression) 378 samples Submitted 2024/08/15 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 378 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
378 samples: 6 conditions, mostly with about 63 replicates eachGroups 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
Single-Cell RNA Sequencing of Murine Limbal Epithelia Reveals Gas1 as a Novel Stem/Progenitor Cell Marker for the Corneal EpitheliumCornea · 2026
Summary (written by the submitters)
Using the K14CreERT2-Confetti transgenic mouse, we analyzed differential gene expression between Confetti+ and Confetti- cells in an attempt to uncover novel limbal epithelial stem cell markers
Published in
Single-Cell RNA Sequencing of Murine Limbal Epithelia Reveals Gas1 as a Novel Stem/Progenitor Cell Marker for the Corneal Epithelium
Richardson A, Corley S, Delic N et al. · Cornea 2026 · PMID 40704715 · doi:10.1097/ICO.0000000000003938
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 GSE274984_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: 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 PRJNA1148678 and SRA study SRP526743. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 63 replicates each
Corneolimbal, 6 week old, Confetti+ ×63 Corneolimbal, 6 week old, Confetti ×63 Corneolimbal, 18 week old, Confetti+ ×63 Corneolimbal, 18 week old, Confetti ×63 Corneolimbal, 60 week old, Confetti+ ×63 Corneolimbal, 60 week old, Confetti ×63

Supports a between-group comparison across 378 samples.

How we read this: 6 replicated groups read from 378 sample titles; they account for 378 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

+ 338 more — browse all 378 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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.