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GGNBP2 regulates MDA5 sensing triggered by self double stranded RNA following loss of ADAR1 editing

GSE234570 Mus musculus (mouse) RNA-seq (gene expression) 95 samples Submitted 2024/11/21 Platform GPL19057Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 95 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
95 samples: 78 distinct titles, 12 of them repeatedGroups 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
GGNBP2 regulates MDA5 sensing triggered by self double-stranded RNA following loss of ADAR1 editingScience immunology · 2024
Summary (written by the submitters)
Adenosine-to-Inosine (A-to-I) editing of double stranded RNA (dsRNA) is an essential modifier of dsRNA immunogenicity. Loss of Adenosine deaminase acting on RNA 1 (ADAR1), or its A-to-I editing activity, triggers a lethal MDA5-dependent autoinflammatory response to endogenous unedited dsRNA. We performed a genome-wide suppressor screen to map the genetic landscape regulating the response to a loss of ADAR1 mediated A-to-I editing.
Read the full summary ↓
This identified that the interacting proteins GGNBP2, CNOT10 and CNOT11 regulate immunogenic sensing following loss of A-to-I editing. GGNBP2 acts between transcription and cytoplasmic MDA5 sensing. Loss of GGNBP2 modified the distribution of dsRNA within cells, reducing the cytoplasmic dsRNA load and preventing induction of type I IFN and lethal autoinflammation. GGNBP2, CNOT10 and CNOT11 are novel regulators of the cellular response to unedited dsRNA.
Published in
GGNBP2 regulates MDA5 sensing triggered by self double-stranded RNA following loss of ADAR1 editing
Heraud-Farlow JE, Taylor SR, Chalk AM et al. · Science immunology 2024 · PMID 39576872 · doi:10.1126/sciimmunol.adk0412
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 GSE234570_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 PRJNA982066 and SRA study SRP439554. Searching any of these in the dataset finder brings you back here.

Study design
78 distinct titles, 12 of them repeated
ADAR1 E861A/E861A sgIfih1 ×4 ADAR1 E861A/E861A sgGgnbp2 ×3 GMCSF ADAR1 +/ EV ×3 GMCSF ADAR1 E861A/E861A sgGgnbp2 ×3 GMCSF Day 0 ADAR E861A/E861A ×2 GMCSF Day 2 ADAR E861A/E861A ×2 GMCSF Day 4 ADAR E861A/E861A ×2 GMCSF Day 7 ADAR E861A/E861A ×2 +4 more

How we read this: Read from 95 sample titles: 78 distinct titles with little repetition. 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

+ 55 more — browse all 95 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.