← BioTransfer GEO Dataset Finder
GEO series

Enhancing Retromer Complex Stability Ameliorates Synaptic Dysfunction in a Mouse Model of Alzheimer's Disease

GSE267989 Mus musculus (mouse) RNA-seq (gene expression) 27 samples Submitted 2025/09/17 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 27 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
27 samples: 27 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
Stabilizing the retromer complex rescues synaptic dysfunction and endosomal trafficking deficits in an Alzheimer's disease mouse modelActa neuropathologica communications · 2025
Summary (written by the submitters)
Synaptic dysfunction is an early hallmark of Alzheimer’s disease, characterized by the disruption of synaptic transmission and plasticity. Central to these processes is endosomal trafficking, mediated by the retromer complex, which orchestrates the movement of vesicle contents for recycling to the plasma membrane, return to the Golgi, or degradation.
Read the full summary ↓
Variants of VPS35, the cargo recognition component of the retromer complex, have been linked to neurodegenerative diseases, including Parkinson’s disease (PARK17, D620N mutation) and Alzheimer’s disease (L625P mutation). While substantial research has focused on Parkinson's, the role of VPS35 in Alzheimer’s has been less explored. This study investigates the acute neuroprotective effects of retromer-stabilizing compounds in the 5xFAD mouse model of Alzheimer’s. Our results reveal that stabilization of the retromer complex not only mitigates pathogenic Aβ production mechanisms but also compensates for early synaptic dysfunction and microglial activation. Specifically, we observed significant modulation of genes involved in long-term potentiation and a reduction in abnormal retromer-associated cargos. These findings highlight the potential of retromer stabilisation as atherapeutic strategy to address fundamental pathological pathological processes in Alzheimer's disease.
Published in
Stabilizing the retromer complex rescues synaptic dysfunction and endosomal trafficking deficits in an Alzheimer's disease mouse model
Ramonet D, Daerr A, Hallbeck M · Acta neuropathologica communications 2025 · PMID 40931359 · doi:10.1186/s40478-025-02096-8
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 GSE267989_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 PRJNA1113999 and SRA study SRP508960. Searching any of these in the dataset finder brings you back here.

Study design
27 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 27 sample titles: 27 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

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.