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Neuregulin-1 facilitates myelin regeneration through microglia-mediated mechanisms in a mouse model of chronic demyelination

GSE282653 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/03/09 Platform GPL24247
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: 5 × Vehicle# vs 4 × Control# vs 3 × Nrg-1#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
Neuregulin-1 facilitates myelin regeneration through microglia-mediated mechanisms in a mouse model of chronic demyelinationNature communications · 2026
Summary (written by the submitters)
Failure in remyelination is a key feature of progressive multiple sclerosis (MS) that drive neurodegeneration and accumulation of disabilities. Microglia crucially facilitate oligodendrocyte remyelination in MS lesions through myelin phagocytosis, and subsequent cholesterol metabolism and release. However, microglia lose this capacity in chronic demyelinated lesions, as they acquire a dysfunctional phenotype characterized by intracellular accumulation of lipid droplets due to impaired cholesterol processing of myelin debris.
Read the full summary ↓
Given the abundance of microglia in chronic MS lesions, revitalizing their pro-remyelination capacity represents a critical repair strategy for progressive MS. Here, we reveal that dysregulation of neuregulin-1 underlies impaired remyelination in chronically demyelinated brain lesions. Therapeutic restoration of neuregulin-1 supports remarkable myelin regeneration by augmenting microglia capacity for clearance of myelin debris, cholesterol metabolism and efflux. Altogether, we demonstrate the promise of neuregulin-1 as an endogenous target to facilitate microglia reparative functions in progressive MS in which there is an unmet critical need for new treatments.
Published in
Neuregulin-1 facilitates myelin regeneration through microglia-mediated mechanisms in a mouse model of chronic demyelination
Ziaee SM, Nemati S, Kataria H et al. · Nature communications 2026 · PMID 42115623 · doi:10.1038/s41467-026-72639-7
This dataset
Open GSE282653 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 GSE282653_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 PRJNA1189543 and SRA study SRP547059. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42115623) ↗
Study design
5 × Vehicle# vs 4 × Control# vs 3 × Nrg-1#

Supports a between-group comparison across 12 samples.

How we read this: 3 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
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.