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Global transcriptional profiles of intestinal stem cells, progenitor cells and Paneth cells during aging [bulk RNA-seq]

GSE210240 Mus musculus (mouse) RNA-seq (gene expression) 112 samples Submitted 2025/02/06 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 112 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
112 samples: 32 conditions, mostly in triplicateGroups 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
The balance between IFN-γ and ERK/MAPK signaling activities ensures lifelong maintenance of intestinal stem cellsCell reports · 2025
Summary (written by the submitters)
We report aging-induced transcriptional alterations of mouse intestinal stem cells (ISCs), progenitor cells and Paneth cells.
Published in
The balance between IFN-γ and ERK/MAPK signaling activities ensures lifelong maintenance of intestinal stem cells
Nakajima-Koyama M, Kabata M, Lee J et al. · Cell reports 2025 · PMID 39952238 · doi:10.1016/j.celrep.2025.115286
This dataset
Open GSE210240 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 GSE210240_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 PRJNA864815. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39952238) ↗
Study design
32 conditions, mostly in triplicate
RNA_seq_Bulk_ISCs_Aged_Male ×7 RNA_seq_Bulk_ISCs_Young_Female ×6 RNA_seq_Bulk_ISCs_Young_Male ×5 RNA_seq_Bulk_ISCs_Aged_Female ×5 RNA_seq_Bulk_Progenitor cells_Young_Male ×5 RNA_seq_Bulk_Progenitor cells_Young_Female ×5 RNA_seq_Bulk_Progenitor cells_Aged_Male ×5 RNA_seq_Bulk_Progenitor cells_Aged_Female ×5 +24 more

Supports a between-group comparison across 112 samples.

How we read this: 32 replicated groups read from 112 sample titles; they account for 112 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

+ 72 more — browse all 112 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.