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Impaired removal of dying brain cells by microglia in GPR34 deficient mice

GSE317348 Mus musculus (mouse) RNA-seq (gene expression) 125 samples Submitted 2026/01/22 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 125 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
125 samples: 39 conditions, mostly in duplicateGroups 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
Impaired removal of dying brain cells by microglia in Gpr34 deficient miceJournal of neuroinflammation · 2026
Summary (written by the submitters)
GPR34, a G protein coupled receptor present selectively in microglia and other myeloid cells, is highly expressed in homeostatic microglia but is downregulated in disease associated microglia such as are found in Alzheimer’s disease brain. However, little is known about GPR34’s role in microglia function or brain development. Here, we studied Gpr34 knockout (KO) mice at postnatal 18-day (18 d) and 3 months (3 mo) age.
Read the full summary ↓
In the brains of 18 d GPR34 KO mice, there were elevated numbers of neurons, oligodendrocytes and microglia, many of which were IHC-positive for cell death markers cleaved-caspase 3, phospho-RIP3, or annexin V. There was no increase in cell death markers or in steady state numbers of neurons, oligos and microglia at 3 months, indicating that GPR34-independent mechanisms are able to compensate during brain maturation. Based on RNA sequencing analysis and phagocytosis functional assays, as well as computational modeling, we provide evidence that Gpr34 KO microglia have deficiencies in chemotaxis, but not phagocytic efficiency, which leads to a slower clearance of dead cells from the developing brain. Collectively, these results indicate that Gpr34 is required for microglia to clear dead or dying cells.
Published in
Impaired removal of dying brain cells by microglia in Gpr34 deficient mice
Bohannon DG, Geller A, Simmons SK et al. · Journal of neuroinflammation 2026 · PMID 41964003 · doi:10.1186/s12974-026-03777-4
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 GSE317348_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 PRJNA1406772 and SRA study SRP665687. Searching any of these in the dataset finder brings you back here.

Study design
39 conditions, mostly in duplicate
MC 18day WT Mouse 88 ×5 SSC 18day WT Mouse 88 ×5 Hind 18day WT Mouse 88 ×5 Hipp 18day WT Mouse 88 ×5 Thal 18day WT Mouse 88 ×5 SSC 18day KO Mouse 88 ×4 MC 18day KO Mouse 88 ×4 Hind 18day KO Mouse 88 ×4 +43 more

Supports a between-group comparison across 113 samples.

How we read this: 39 replicated groups read from 125 sample titles; they account for 113 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

+ 85 more — browse all 125 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.