← BioTransfer GEO Dataset Finder
GEO series

T cell - DAM feedback loop drives CNS inflammation and neurodegenration in SPG15 at an early age via CCR5-CCL5 interaction [CD3+]

GSE244474 Mus musculus (mouse) RNA-seq (gene expression) 1135 samples Submitted 2025/04/04 Platform GPL24247Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 1135 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
1135 samples: 1135 samples, each with a distinct title — no replicated groupsGroups 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)
The immune system is an emerging cause of neuroinflammation and is suspected to be involved in neurodegeneration. The role of microglia, the macrophages of the Central Nervous System (CNS), was extensively researched in CNS neuropathologies. However, we only start to understand the role of T cells in diseases like Alzheimer’s Disease (AD) and Huntington’s Disease (HD) and how microglial – T cell crosstalk contributes to these pathologies.
Read the full summary ↓
Here we tackle these topics in a rare and less investigated disease called Spastic Paraplegia 15 (SPG15) using a Zfyve26-/- mouse model. We were able to show, that CD8+ T cells and microglia potentiate a pro-inflammatory response through bidirectional communication in SPG15 KO and not WT mouse brains. The increase of CD8+ T cells in SPG15 KO animals also required a TCR dependent component. These findings are in line with previous reports on neurodegenerative disease which hints at cross-condition mechanisms involved in CD8+T cell responses in CNS, when encountering accumulation of non-degradable material in the brain.
This dataset
Open GSE244474 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 GSE244474_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 PRJNA1023242 and SRA study SRP464258. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
1135 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from the first 400 of 1135 sample titles: 400 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

+ 1095 more — browse all 1135 samples with per-sample file links →

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.