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A-to-I RNA editing prevents an inflammation-mediated lipodystrophy in adipose tissue

GSE279595 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2025/11/28 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 samples: 12 conditions, mostly in triplicateGroups 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.
Summary (written by the submitters)
RNA editing is a post-transcriptional mechanism that alters the specific nucleotide sequences of RNA to enhance the diversity of gene products. However, the biological function of RNA-editing in different cell types remained poorly understood. In this study, we delineated a comprehensive RNA editome across brown, visceral and subcutaneous adipose tissues from both human and mouse.
Read the full summary ↓
The edited genes in two species are significantly overlapped and highly enriched for RNA metabolism and lipid metabolism pathways. Using an adipose tissue-specific Adar1 knockout mouse model, we demonstrated that the deficiency of A-to-I editing, through an enhanced formation of double strand RNA (dsRNA) structures, resulted in an inflammation-mediated lipodystrophy which can be fully rescued by deleting Ifih1, a sensor for dsRNA structures. Taken together, our study has addressed a new and fundamental question about the function of RNA editing in adipose tissue.
This dataset
Open GSE279595 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 GSE279595_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 PRJNA1173569 and SRA study SRP538905. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 conditions, mostly in triplicate
iWAT ADAR1 flox/flox, Ifih1 -/-, chow diet, ×3 iWAT ADAR1 -/-, Ifih1 -/-,chow diet, ×3 eWAT ADAR1 flox/flox, Ifih1 -/-, chow diet, ×3 eWAT ADAR1 -/-, Ifih1 -/-,chow diet, ×3 iWAT ADAR1 flox/flox, Ifih1 -/-, high fat die… ×3 iWAT ADAR1 -/-, Ifih1 -/-,high fat diet, ×3 eWAT ADAR1 flox/flox, Ifih1 -/-, high fat die… ×3 eWAT ADAR1 -/-, Ifih1 -/-,high fat diet, ×3 +4 more

Supports a between-group comparison across 32 samples.

How we read this: 12 replicated groups read from 32 sample titles; they account for 32 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
Datasets on a similar topic

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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.