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Growth of the maternal intestine during pregnancy and lactation [gut sections]

GSE247926 Mus musculus (mouse) RNA-seq (gene expression) 54 samples Submitted 2025/03/20 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 54 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
54 samples: 9 conditions, mostly with about 6 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
Growth of the maternal intestine during reproductionCell · 2025
Summary (written by the submitters)
The organs of female animals can be dramatically enlarged and metabolically remodelled by reproduction. The cellular changes and genetic programmes that initiate and sustain these transformations remain largely uncharacterised. It is also unclear whether the mechanisms that drive reproductive growth are shared between organs, or with other environmental triggers of adult organ growth.
Read the full summary ↓
We have tackled these questions in mouse mothers, whose intestines provide a striking and genetically tractable example of reproductive organ resizing. We find that intestinal remodelling during reproduction is anticipatory of reproductive needs and distinct from diet-induced intestinal resizing.
Published in
Growth of the maternal intestine during reproduction
Ameku T, Laddach A, Beckwith H et al. · Cell 2025 · PMID 40112802 · doi:10.1016/j.cell.2025.02.015
This dataset
Open GSE247926 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 GSE247926_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 PRJNA1040926 and SRA study SRP472247. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40112802) ↗
Study design
9 conditions, mostly with about 6 replicates each
LF_Jejunum ×6 LF_Duodenum ×6 VF_Jejunum ×6 VF_Duodenum ×6 VM_Jejunum ×6 VM_Duodenum ×6 LF_Ileum ×6 VF_Ileum ×6 +1 more

Supports a between-group comparison across 54 samples.

How we read this: 9 replicated groups read from 54 sample titles; they account for 54 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

+ 14 more — browse all 54 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.