← BioTransfer GEO Dataset Finder
GEO series

The role of microglia in demyelination: insights into the impact of oligodendrocyte-secreted Serpina3n

GSE287313 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/08/17 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 4 × CPZ_cKO vs 3 × Norm_Ctrl vs 3 × CPZ_CtrlGroups 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
Injury-transduced SerpinOLs modulate neuroinflammation and glial activation in the diseased and non-diseased CNSbioRxiv : the preprint server for biology · 2026
Summary (written by the submitters)
Microglia, the primary immune cells of the central nervous system, play critical roles in demyelination process. This study investigates the transcriptional changes in microglia associated with demyelination and examines the role of oligodendrocyte-secreted Serpina3n in modulating microglial responses during this pathological process.
Read the full summary ↓
Bulk RNA sequencing was conducted on microglia isolated from mice subjected to a 4-week cuprizone diet, a model of demyelination. The experimental groups included: (1) normal control mice (Norm_Ctrl), (2) cuprizone-treated wild-type mice (CPZ_Ctrl), and (3) cuprizone-treated Olig2-Cre Serpina3n flox/flox mice (CPZ_cKO). Microglia were purified from mouse brains using magnetic-activated cell sorting (MACS). The results of this study aim to deepen our understanding of olidodendroglial Serpina3n’s role in shaping microglial behavior during demyelination and could inform potential therapeutic strategies for demyelinating diseases.
Published in
Injury-transduced SerpinOLs modulate neuroinflammation and glial activation in the diseased and non-diseased CNS
Wang Y, Zhu M, Park J et al. · bioRxiv : the preprint server for biology 2026 · PMID 41659527 · doi:10.64898/2026.01.29.702669
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 GSE287313_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 PRJNA1212079 and SRA study SRP558090. Searching any of these in the dataset finder brings you back here.

Study design
4 × CPZ_cKO vs 3 × Norm_Ctrl vs 3 × CPZ_Ctrl

Supports a between-group comparison across 10 samples.

How we read this: 3 replicated groups read from 10 sample titles; they account for 10 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.