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Neurons undergo IFNγ-driven persistent epigenetic shifts and synaptic remodeling in the inflamed brain [RNA-Seq]

GSE288606 Mus musculus (mouse) RNA-seq (gene expression) 52 samples Submitted 2025/12/23 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 52 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
52 samples: 17 conditions, mostly in duplicateGroups 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
Neurons undergo IFNγ-driven persistent epigenetic shifts and synaptopathy in encephalitisNeuron · 2026
Summary (written by the submitters)
Our study provides novel evidence that neuronal intrinsic epigenetic changes are established as a consequence of cytotoxic T cell-mediated immune attacks and persist long after the resolution of the inflammatory process and associate to long lasting synaptic loss
Published in
Neurons undergo IFNγ-driven persistent epigenetic shifts and synaptopathy in encephalitis
Shammas G, Piccinno M, Egervari K et al. · Neuron 2026 · PMID 41448185 · doi:10.1016/j.neuron.2025.11.006
This dataset
Open GSE288606 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 GSE288606_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 PRJNA1218682 and SRA study SRP561266. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41448185) ↗
Study design
17 conditions, mostly in duplicate
WT_HC_CC10_GFPneg ×5 WT_HC_CC10_GFPpos ×5 WT_HC_CnC10_GFPneg ×4 WT_HC_CnC10_GFPpos ×4 WT_HC_CC30_GFPneg ×4 WT_HC_CC30_GFPpos ×4 WT_HC_CC70_GFPneg ×3 WT_HC_CC70_GFPpos ×3 +9 more

Supports a between-group comparison across 52 samples.

How we read this: 17 replicated groups read from 52 sample titles; they account for 52 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

+ 12 more — browse all 52 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.