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Differential and synergistic transcriptional effects of early amyloid-β and tau pathologies in the hippocampus of APP, Tau, and APP/Tau female mice

GSE280199 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2025/02/07 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 36 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
36 samples: 8 conditions, mostly with about 6 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
Synaptic vulnerability to amyloid-β and tau pathologies differentially disrupts emotional and memory neural circuitsMolecular psychiatry · 2025
Summary (written by the submitters)
Alzheimer’s disease (AD) is characterized by memory loss associated with accumulation of amyloid-β (Aβ) and tau in the brain, but how memory-processing neural circuits are differentially affected by each pathology remains unclear. Here, we investigated the transcriptional vulnerability to single and concomitant Aβ and tau pathologies in 6-month-old transgenic mice expressing mutant human amyloid precursor protein (APP), Tau, or both (APP/Tau mice) in excitatory neurons.
Read the full summary ↓
We identified differential and synergistic pathology-induced transcriptional responses in the hippocampus of AD transgenic mice. These findings support the idea that Aβ and tau pathologies exert synergistic effects to disrupt gene expression programs underlying vulnerability of memory neural circuits in AD.
Published in
Synaptic vulnerability to amyloid-β and tau pathologies differentially disrupts emotional and memory neural circuits
Capilla-López MD, Deprada A, Andrade-Talavera Y et al. · Molecular psychiatry 2025 · PMID 39885298 · doi:10.1038/s41380-025-02901-9
This dataset
Open GSE280199 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 GSE280199_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 PRJNA1177339 and SRA study SRP540572. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39885298) ↗
Study design
8 conditions, mostly with about 6 replicates each
HP, Control, 6months, Naïve, sample ×6 HP, APP/Tau, 6months, Naïve, sample ×6 HP, Control, 6months, Trained, sample ×5 HP, APP, 6months, Naïve, sample ×5 HP, Tau, 6months, Trained, sample ×4 HP, Tau, 6months, Naïve, sample ×4 HP, APP/Tau, 6months, Trained, sample ×3 HP, APP, 6months, Trained, sample ×3

Supports a between-group comparison across 36 samples.

How we read this: 8 replicated groups read from 36 sample titles; they account for 36 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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