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STAT3 signalling drives tissue expansion during postimplantation mouse development [RNA-seq]

GSE254697 Mus musculus (mouse) RNA-seq (gene expression) 39 samples Submitted 2025/04/07 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 39 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
39 samples: 8 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.
Paper
STAT3 signaling enhances tissue expansion during postimplantation mouse developmentCell reports · 2025
Summary (written by the submitters)
STAT3 has been studied extensively in the context of self-renewal of naïve pluripotent mouse embryonic stem cells (mESCs). Although STAT3 is required to maintain ICM lineages when maternally eliminated, the role of STAT3 during gastrulation is unclear as the conventional knockout of Stat3 develops until E6.5. In this study, we observed that zygotic loss of Stat3 on CD1 genetic background leads to consistent developmental retardation from implantation to mid-gestation, beginning with a significant reduction in the number of epiblast cells by the time of implantation.
Read the full summary ↓
Remarkably, mutants appear to scale normally and resemble non-affected embryos from the previous day at all postimplantation stages examined. Bulk RNA-seq analysis using isolated epiblast cells revealeed that E6.5 null epiblasts were intermediate between WT E5.5 and E6.5; E7.5 null epiblasts grouped more closely with WT E6.5 than E7.5 epiblasts. Gene ontology analysis revealed lipid metabolism was compromised in Stat3 null embryos as early as E6.5. Interestingly, Socs3, downstream target of STAT3, was not induced in WT rpiblast cells until E7.5. We found Y705 phospholylated STAT3 was not exist postimplantation epiblast, but S727 phoshorylated STAT3 was abundant over the time, suggesting postimplantation specific roles of S727 phosphorylated STAT3 in growth and differentiation. Our study revealed that while Stat3 null epiblast cells progress along a near normal differentiation trajectory, Stat3 deletion compromises lipid metabolism as early as E6.5.
Published in
STAT3 signaling enhances tissue expansion during postimplantation mouse development
Azami T, Theeuwes B, Nu Ton ML et al. · Cell reports 2025 · PMID 40188437 · doi:10.1016/j.celrep.2025.115506
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 GSE254697_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 PRJNA1071539 and SRA study SRP487105. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in duplicate
E6.5_WT ×9 E7.5_WT ×9 E6.5_Stat3null ×8 E5.5_Stat3null ×4 E7.5_Stat3null ×3 E5.5_WT ×2 Stat3null_EpiSC ×2 WT_EpiSC ×2

Supports a between-group comparison across 39 samples.

How we read this: 8 replicated groups read from 39 sample titles; they account for 39 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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