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Sex-Dependent Effects of Glutamatergic Disruption on Dopaminergic Neuron Subtype Vulnerable in Parkinson’s Disease

GSE309633 Mus musculus (mouse) RNA-seq (gene expression) 48 samples Submitted 2026/03/29 Platform GPL34475
At a glance

RNA-seq (gene expression) · mouse · 48 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
48 samples: 48 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
Sex-Dependent Effects of Glutamatergic Disruption on Dopaminergic Neuron Subtype Vulnerable in Parkinson's DiseasebioRxiv : the preprint server for biology · 2026
Summary (written by the submitters)
Aldehyde dehydrogenase 1A1-positive (ALDH1A1+) dopaminergic neurons are selectively vulnerable in Parkinson’s disease (PD), yet how their activity is shaped by presynaptic inputs is unclear. We investigated the role of glutamatergic input by conditionally deleting Grin1, encoding a critical NMDA receptor subunit, in ALDH1A1+ neurons. Grin1 conditional knockout mice showed normal locomotion and motor learning, but females exhibited increased operant reward acquisition along with excessive feeding and weight gain after food restriction.
Read the full summary ↓
To determine regional contributions in female mice, we selectively knocked down Grin1 in ALDH1A1+ neurons of the ventral tegmental area (VTA) or substantia nigra pars compacta. VTA-specific knockdown in females reproduced the post-restriction feeding and weight gain phenotype. Bulk whole-brain mRNA sequencing revealed significant gene expression changes based on sex primarily in Grin1 conditional knockout mice following food restriction. Many of the differentially expressed genes were associated with energy production, metabolic responses, and glial function. These findings reveal a sex-specific role for NMDA receptor–mediated glutamatergic input to ALDH1A1+ VTA neurons in regulating feeding behavior, providing mechanistic insight into how dysfunction of this vulnerable subpopulation may contribute to PD-related non-motor symptoms.
Published in
Sex-Dependent Effects of Glutamatergic Disruption on Dopaminergic Neuron Subtype Vulnerable in Parkinson's Disease
Carmichael KF, Smith VMM, Ding J et al. · bioRxiv : the preprint server for biology 2026 · PMID 42182513 · doi:10.64898/2026.05.06.723291
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 GSE309633_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 PRJNA1336649 and SRA study SRP629993. Searching any of these in the dataset finder brings you back here.

Study design
48 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 48 sample titles: 48 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

+ 8 more — browse all 48 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.