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Transcriptomic analysis of microglia from young and aged wild-type, NLRP3-/-, APP/PS1 and APP/PS1.NLRP3-/- mice.

GSE269886 Mus musculus (mouse) RNA-seq (gene expression) 62 samples Submitted 2025/02/03 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 62 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
62 samples: 62 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
NLRP3-mediated glutaminolysis controls microglial phagocytosis to promote Alzheimer's disease progressionImmunity · 2025
Summary (written by the submitters)
Activation of the NLRP3 inflammasome has been implicated in the pathogenesis of Alzheimer’s disease (AD), via the characterised release of IL-1β and ASC specks. However, whether NLRP3 was involved in pathways beyond this remained unknown. Here were enriched CD11b+ cells from the brains of 4, 6 an 12 month old wild-type, NLRP3-/-, APP/PS1 and APP/PS1.NLRP3-/- mice for bulk RNA sequencing.
Read the full summary ↓
We found that amyloid deposition was associated with an increase in the expression of genes encoding inflammatory or phagocytic proteins from 6 months onwards. Interestingly, loss of NLRP3 influences glutamine/glutamate-related metabolism and increases expression of microglial Slc1a3. The increase in Slc1a3 was observed in all mice on a NLRP3-/- background and at all ages examined, demonstrating a new role for this transporter in microglia.
Published in
NLRP3-mediated glutaminolysis controls microglial phagocytosis to promote Alzheimer's disease progression
McManus RM, Komes MP, Griep A et al. · Immunity 2025 · PMID 39904338 · doi:10.1016/j.immuni.2025.01.007
This dataset
Open GSE269886 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 GSE269886_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 PRJNA1124066 and SRA study SRP513987. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39904338) ↗
Study design
62 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 62 sample titles: 62 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

+ 22 more — browse all 62 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.