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The antiviral nuclear body protein SP140 represses Ifnb1 transcript stabilization by the novel regulator RESIST [WT and SP140 KO RNA-seq]

GSE269808 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/08/28 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × Rnaseq, B6, untreated, vs 3 × Rnaseq, Sp140 KO, untreated, vs 3 × Rnaseq, B6, DMXAA treated, vs 3 × Rnaseq, Sp140 KO, DMXAA treated,Groups 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 SP140-RESIST pathway regulates interferon mRNA stability and antiviral immunitybioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Negative regulation of the antiviral cytokine IFN-I is critical to prevent host pathology, but is not fully understood. The highly conserved but understudied epigenetic reader and nuclear body protein SP140 represses IFN-I by an unknown mechanism. We describe the mechanism by which SP140 negatively regulates IFN-I, and include RNA-seq data of WT (B6) and SP140 KO BMMs untreated or treated with 100 ug/mL DMXAA for 8 hours in this dataset.
Read the full summary ↓
We found that SP140 represses the expression of a novel positive regulator of IFN-I previously annotated as an annexin II receptor, which we rename RESIST (REgulated Stimulator of IFN-I via Stabilization of Transcript). RESIST promotes IFN-I mRNA stability by binding the CCR4-NOT mRNA deadenylase complex and blocking recruitment of the TTP family of RNA-binding proteins, which negatively regulate IFN-I mRNA stability, to CCR4-NOT. Mechanistically, RESIST uses N and C-terminal alpha-helices respectively to either dock to the CCR4-NOT complex or block TTP family binding. Our work reveals a new regulator of IFN-I and a new mechanism regulating IFN-I mRNA stability.
Published in
The SP140-RESIST pathway regulates interferon mRNA stability and antiviral immunity
Witt KC, Dziulko A, An J et al. · bioRxiv : the preprint server for biology 2025 · PMID 39974928 · doi:10.1101/2024.08.28.610186
This dataset
Open GSE269808 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 GSE269808_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 PRJNA1123735 and SRA study SRP513809. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39974928) ↗
Study design
3 × Rnaseq, B6, untreated, vs 3 × Rnaseq, Sp140 KO, untreated, vs 3 × Rnaseq, B6, DMXAA treated, vs 3 × Rnaseq, Sp140 KO, DMXAA treated,

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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