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Astrocytic APOE3-Christchurch expression ameliorates brain amyloid-β pathology in 5xFAD mice

GSE319850 Mus musculus (mouse) RNA-seq (gene expression) 23 samples Submitted 2026/04/08 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 23 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
23 samples: 7 × E3ChF vs 6 × E3M vs 5 × E3ChM vs 5 × E3FGroups 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
Astrocytic APOE3-Christchurch expression ameliorates brain amyloid-β pathology in 5xFAD miceTranslational psychiatry · 2026
Summary (written by the submitters)
The rare APOE3-Christchurch (APOE3Ch) variant is linked to resistance against PSEN1 p.E280A-driven autosomal dominant Alzheimer’s disease (AD). Recent studies in AD mouse models have demonstrated an effect of APOE3Ch in reducing tau pathology and tau propagation, yet its effects on amyloid pathology and related toxicity are not fully understood.
Read the full summary ↓
While prior studies have reported reduced amyloid pathology with APOE3Ch, we extended this knowledge by investigating how astrocyte-specific expression of APOE3Ch impacts amyloid pathology and related responses in 5xFAD mice, an amyloid mouse model. Using adeno-associated virus (AAV)-mediated gene delivery, we overexpressed APOE3 or APOE3Ch in astrocytes of 5xFAD mice at the neonatal stage, then analyzed their effects during the advanced stage of amyloid pathology. Astrocytic APOE expression significantly reduced amyloid burden, neuritic dystrophy, and gliosis compared to GFP controls. Notably, astrocytic APOE3Ch expression, relative to APOE3, markedly lowered oligomeric Ab levels and promoted the formation of more compact, fibrillar plaques, suggesting a shift toward a less toxic aggregation profile. Transcriptomic profiling of cortical tissue revealed broad downregulation of immune-related and proteostatic pathways. These findings indicate that astrocytic APOE3Ch sufficiently attenuates Ab pathology and related toxicity, supporting its potential as a therapeutic modifier for AD.
Published in
Astrocytic APOE3-Christchurch expression ameliorates brain amyloid-β pathology in 5xFAD mice
Raulin AC, Alnobani A, Rodriguez-Martinez P et al. · Translational psychiatry 2026 · PMID 41916957 · doi:10.1038/s41398-026-04002-9
This dataset
Open GSE319850 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 GSE319850_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 PRJNA1425310 and SRA study SRP677960. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41916957) ↗
Study design
7 × E3ChF vs 6 × E3M vs 5 × E3ChM vs 5 × E3F

Supports a between-group comparison across 23 samples.

How we read this: 4 replicated groups read from 23 sample titles; they account for 23 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
Datasets on a similar topic

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