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Neurotoxicity, α-Synuclein Pathology, and Mitochondrial Dysfunction: A Comparative Study of Three Parkinson’s Disease Mouse Models

GSE300519 Mus musculus (mouse) RNA-seq (gene expression) 35 samples Submitted 2026/06/10 Platform GPL34290Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 35 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
35 samples: 35 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.
Paper
Neurotoxicity, α-synuclein pathology, and mitochondrial dysfunction: A comparative study of different mouse models of Parkinson's diseaseNeural regeneration research · 2026
Summary (written by the submitters)
The pathogenesis of Parkinson’s disease (PD) is complex, and it is difficult for a single animal model to fully mimic its pathological features. In this study, a comprehensive analysis of behaviors, PD-like pathologies, and gene and protein expression profiles was carried out in PD mouse models (MPTP-induced, α-Syn A53T transgenic, and MitoPark models).
Read the full summary ↓
The three PD models showed motor impairments, with MitoPark mice displaying particularly pronounced age-related worsening. Pathologically, they all exhibited nigrostriatal pathway damage but showed differential patterns of glial cell activation. All three PD model mice showed no α-Syn aggregates. However, a few pS129-α-Syn-positive signals were detected in the substantia nigra of α-Syn A53T transgenic mice. Molecularly, RNA sequencing and proteomics revealed significant changes in gene and protein expression, with both unique and common features. Five common differentially expressed genes (Ifi27l2a, Ifitm3, Oasl2, Rtp4, and Ankk1) and two common differentially expressed proteins (Timm8a1 and Sephs1) were identified. Functional enrichment analysis indicated that immune responses, cytokines, and neurotransmitter transport were crucial in PD pathogenesis. Pathway analysis revealed the involvement of ferroptosis in all models, with additional IL-17 pathway activation specifically in MitoPark mice. These findings provide a comprehensive molecular and phenotypic characterization of PD models, offering valuable insights into disease mechanisms and potential therapeutic targets.
Published in
Neurotoxicity, α-synuclein pathology, and mitochondrial dysfunction: A comparative study of different mouse models of Parkinson's disease
Tang X, He Y, Liang M et al. · Neural regeneration research 2026 · PMID 41017689 · doi:10.4103/NRR.NRR-D-25-00648
This dataset
Open GSE300519 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 GSE300519_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 PRJNA1281101 and SRA study SRP594046. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41017689) ↗
Study design
35 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 35 sample titles: 35 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
Datasets on a similar topic

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