← BioTransfer GEO Dataset Finder
GEO series

Neonatal microglia replacement in mice modulates seizure severity in adulthood

GSE306032 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2025/09/15 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 21 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
21 samples: 21 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.
Summary (written by the submitters)
Microglia replacement therapy, where endogenous brain macrophages are depleted and replaced by adoptively transferred surrogates, holds promise for treating pediatric neurologic diseases, but little is known about how early life microglia replacement impacts the brain. We sought to investigate how early postnatal microglia depletion and adoptive macrophage transfer, essential components of microglia replacement, durably impact neural circuits in a mouse model.
Read the full summary ↓
Using both pharmacologic and genetic models, postnatal microglia depletion worsened adult seizure severity, mortality and neuropathology in a chemical seizure model. Replacement of endogenous microglia by adoptive transfer of monocytes rescued this effect, while transfer of authentic microglia from a donor mouse did not, and even worsened seizure phenotypes. RNA sequencing of transplanted microglia, monocyte-derived surrogates, and endogenous microglia revealed distinct state changes across groups in response to chemically induced seizure, demonstrating that both ontogeny and adoptive transfer significantly impact resident macrophage responses to the excitotoxic brain environment. In sum, we established models for neonatal microglia depletion and replacement, then applied them to identify durable impacts of depletion and reconstitution on the brain environment. We ultimately identified differential responses of macrophages to excitotoxic challenge based on their ontogeny, underscoring focus areas for ongoing preclinical development of microglia replacement therapies.
This dataset
Open GSE306032 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 GSE306032_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 PRJNA1308981 and SRA study SRP610541. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
21 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 21 sample titles: 21 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.