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Transcriptome signatures of SU-Eohyeol pharmacopuncture (SUEHP) in an MPTP-induced Parkinson's disease animal model

GSE302015 Mus musculus (mouse) RNA-seq (gene expression) 40 samples Submitted 2026/06/10 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 40 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
40 samples: 10 conditions, mostly with about 4 replicates eachGroups 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
SU-Eohyeol Pharmacopuncture Ameliorates Parkinson's Disease-Associated Pain via the CB1 and PPARγ Pathways in an MPTP-Induced Mouse ModelPain research & management · 2026
Summary (written by the submitters)
Parkinson’s disease (PD) is a progressive neurodegenerative disorder for which no definitive cure currently exists. The disease is primarily characterized by motor symptoms such as muscle rigidity, bradykinesia, and postural instability, along with a range of non-motor symptoms including pain, depression, sleep disturbances, and cognitive impairment.
Read the full summary ↓
Given the absence of comprehensive therapeutic approaches that can effectively address both motor and non-motor manifestations of PD, we sought to investigate the potential therapeutic efficacy of SUEHP, a modality derived from traditional East Asian medicine. A mouse model of PD was established via administration of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP), followed by SUEHP treatment administered twice weekly for a duration of two weeks. Based on compositional analysis of the pharmacopuncture formulation, cannabinoid receptor 1 (CB1) and peroxisome proliferator-activated receptor gamma (PPARγ) were identified as potential molecular targets. To assess their involvement, selective antagonists or inhibitors were co-administered. Transcriptomic analysis was subsequently conducted to characterize gene expression alterations associated with SUEHP treatment and to elucidate underlying mechanisms of action.
Published in
SU-Eohyeol Pharmacopuncture Ameliorates Parkinson's Disease-Associated Pain via the CB1 and PPARγ Pathways in an MPTP-Induced Mouse Model
Kim JI, Yeo H, Jo Y et al. · Pain research & management 2026 · PMID 42218674 · doi:10.1155/prm/3334432
This dataset
Open GSE302015 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 GSE302015_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 PRJNA1288362 and SRA study SRP599069. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42218674) ↗
Study design
10 conditions, mostly with about 4 replicates each
Normal control_MB ×4 MPTP_MB ×4 MPTP+SUEHP_MB ×4 MPTP+SUEHP+SR141714A_MB ×4 MPTP+SUEHP+T0070907_MB ×4 Normal control_SC ×4 MPTP_SC ×4 MPTP+SUEHP_SC ×4 +2 more

Supports a between-group comparison across 40 samples.

How we read this: 10 replicated groups read from 40 sample titles; they account for 40 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
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