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Hereditary spastic paraplegia (HSP) gene 11 (SPG11) attenuates lipid accumulation in myeloid cells and neuroinflammation independent of α-synuclein pathology

GSE324086 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2026/06/26 Platform GPL21493
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples
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)
Hereditary spastic paraplegia type 11 (HSP-SPG11) is a neurodegenerative disorder caused by mutations in SPG11, which encodes the large scaffolding protein spatacsin, involved in lysosomal and autophagosomal trafficking. A portion of patients with SPG11 mutations show overlapping clinical presentations with Parkinson’s disease (PD) patients.
Read the full summary ↓
While spatacsin dysfunction is linked to neurodegeneration, the underlying cellular mechanisms remain largely unclear. Here, we demonstrate that loss of Spg11 results in neuroinflammation and lipid accumulation in myeloid cells, independent of α-synuclein aggregation. Bulk RNA sequencing revealed a strong upregulation of microglial genes in Spg11 knockouts, supported by increased CD68 expression and morphological changes consistent with microglial activation. Spg11 depletion in two in vivo models of PD revealed no enhancement of phosphorylated αSyn-positive inclusions or dopaminergic neuron loss; however, the mice did exhibit Spg11-dependent microglial reactivity. Further in vitro studies using primary bone-derived macrophages revealed increased phagocytic capacity and neutral lipid accumulation under basal and stress conditions. These findings support a model where SPG11 is a critical regulator of microglial activation and myeloid lipid metabolism, contributing to neurodegeneration through pathways distinct from classical α-synuclein-mediated pathology.
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 GSE324086_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 PRJNA1433411 and SRA study SRP681680. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 20 individual samples

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

How we read this: Sample titles run SAM24427752 … SAM24449928 and carry no group information.

Samples in this study
Datasets on a similar topic

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