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Threonine Phosphorylation of STAT1 Safeguards Gut Epithelial Integrity and Restricts Interferon-mediated Cytotoxicity [RNA-seq]

GSE297456 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/07/09 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 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.
Paper
Threonine phosphorylation of STAT1 safeguards gut epithelial integrity and restricts interferon-mediated cytotoxicityProceedings of the National Academy of Sciences of the United States of America · 2025
Summary (written by the submitters)
Uncontrolled inflammation drives tissue damage, highlighting the need for tightly regulated immune responses and tissue integrity, particularly in barrier tissues like the intestine. To maintain this exquisite balance, intestinal epithelial cells (IECs) employ molecular circuits that preserve tissue integrity following inflammation. STAT1 is traditionally viewed as a pro-inflammatory driver in the intestine, acting as a central signaling mediator downstream of interferons (IFN).
Read the full summary ↓
Here, we identify threonine 748 (Thr748) phosphorylation of Stat1 as an evolutionarily conserved adaptation that reciprocally regulates IEC integrity and IFN responsiveness. Mice expressing a phospho-deficient T748A Stat1 mutant exhibit severe pathology similar to Stat1 deficient littermates, underscoring Thr748’s critical role in Stat1-driven protection following intestinal inflammation. Bone marrow transfer experiments further demonstrate that this protective effect is non-hematopoietic. Integrated genomic and transcriptomic analyses reveal that Thr748 phosphorylation modulates Stat1 DNA binding, directly activating the Itgb4 promoter and enhancing integrin β4 expression in IECs following inflamamtion. In vitro intestinal organoid models, combined with gain- and loss-of-function experiments, show that Stat1 promotes integrin β4 expression via Thr748 phosphorylation following damage, boosting epithelial resilience independently of IFN-induced Tyrosine 701 (Tyr701) phosphorylation. In contrast, IFN stimulation triggers Tyr701 phosphorylation of Stat1, upregulating Zbp1—a sensor of cytotoxic damage-associated nucleic acids—while suppressing integrin β4, leading to epithelial cytotoxicity, which is mitigated by Thr748 phosphorylation. Our findings uncover a modular architecture of Stat1 signaling that enables epithelial adaptation to damage, with Thr748 phosphorylation acting as a rheostat to preserve tissue integrity while restricting IFN-mediated cytotoxicity.
Published in
Threonine phosphorylation of STAT1 safeguards gut epithelial integrity and restricts interferon-mediated cytotoxicity
Metwally H, Elbrashy MM, Kayama H et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 40694331 · doi:10.1073/pnas.2511957122
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 GSE297456_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 PRJNA1263874 and SRA study SRP586009. Searching any of these in the dataset finder brings you back here.

Samples in this study

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