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Astrocyte-microglia crosstalk via CSF1 and IFNb promotes central nervous system repair

GSE326801 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2026/04/28 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 14 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
14 samples: 4 × Control_SCI vs 4 × AstroCSF1KO_SCI vs 3 × Control_uninjured vs 3 × AstroCSF1KO_uninjuredGroups 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
Astrocyte-microglia crosstalk via CSF1 and IFN-β promotes central nervous system repairCell reports · 2026
Summary (written by the submitters)
Despite accumulating evidence of functional interactions between astrocytes and microglia in central nervous system (CNS) injury and disease, mechanisms coordinating their response to CNS insults remain incompletely understood. We report that injury-reactive astrocytes at the lesion border upregulate colony stimulating factor 1 (CSF1) required for microglial proliferation, wound closure, and motor recovery after focal spinal cord injury.
Read the full summary ↓
Intriguingly, astrocyte-targeted deletion of CSF1 also reduces cell number of border-forming astrocytes, revealing positive feedback regulation between astrocytes and microglia. We further show that microglia produce interferon ? (IFN?), which reciprocally supports astrocyte survival. Genetic disruption of interferon signaling in astrocytes in turn impairs astrocytic border formation, coordination with microglia in wound healing, and motor recovery. This work uncovers astrocyte-microglia crosstalk via CSF1 and IFN? that synergizes the acute injury response of these cells for neural repair, providing insights into fundamental biology of astrocyte-microglia communication and its therapeutic potential.
Published in
Astrocyte-microglia crosstalk via CSF1 and IFN-β promotes central nervous system repair
Cao T, Hemati-Gourabi M, Liu Y et al. · Cell reports 2026 · PMID 42217185 · doi:10.1016/j.celrep.2026.117418
This dataset
Open GSE326801 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 GSE326801_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 PRJNA1447364 and SRA study SRP688840. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42217185) ↗
Study design
4 × Control_SCI vs 4 × AstroCSF1KO_SCI vs 3 × Control_uninjured vs 3 × AstroCSF1KO_uninjured

Supports a between-group comparison across 14 samples.

How we read this: 4 replicated groups read from 14 sample titles; they account for 14 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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