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Enhancing TREM2 expression activates microglia and modestly mitigates Tau pathology and neurodegeneration

GSE285713 Mus musculus (mouse) Single-cell RNA-seq 24 samples Submitted 2025/04/02 Platform GPL21103
At a glance

Single-cell RNA-seq · mouse · 24 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
24 samples
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
Enhancing TREM2 expression activates microglia and modestly mitigates tau pathology and neurodegenerationJournal of neuroinflammation · 2025
Summary (written by the submitters)
TREM2, a microglia-specific receptor, is strongly associated with Alzheimer’s disease (AD) risk and modulates microglial responses critical to AD pathogenesis. However, its role in tauopathy and neurodegeneration remains unclear. Here, by using a PS19 tauopathy mouse model with inducible overexpression of human wild-type TREM2 (TREM2-WT) or the R47H variant (TREM2-R47H), we show that TREM2-WT overexpression modestly reduces soluble phosphorylated tau (p-tau) levels and mildly preserves neuronal integrity, whereas TREM2-R47H fails to impact p-tau levels or neurodegeneration.
Read the full summary ↓
Single-cell RNA sequencing revealed that TREM2-WT enhances disease-associated microglia (DAM) signatures, while TREM2-R47H drives the MHCII+ microglial phenotypes. These findings demonstrate that TREM2-WT confers modest benefits in tauopathy models, whereas TREM2-R47H exhibits reduced functionality. Our study underscores the therapeutic potential of enhancing TREM2 activity to modulate microglial responses and mitigate neurodegeneration in AD.
Published in
Enhancing TREM2 expression activates microglia and modestly mitigates tau pathology and neurodegeneration
Chen K, Li F, Zhang S et al. · Journal of neuroinflammation 2025 · PMID 40122810 · doi:10.1186/s12974-025-03420-8
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 GSE285713_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1205691 and SRA study SRP554939. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 24 more — browse all 24 samples with per-sample file links →

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