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Fatty acid-binding protein 4 drives neuroinflammation after intracerebral hemorrhage

GSE295108 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/12/04 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × Sham-Fabp4fl_fl vs 3 × Sham-Fabp4CKO vs 3 × ICH-Fabp4CKOGroups 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
Fatty acid-binding protein 4 drives microglia-mediated neuroinflammation through promoting S100A9 expression and lipid droplet accumulation after intracerebral hemorrhageJournal of neuroinflammation · 2025
Summary (written by the submitters)
As key immune sentinels of the central nervous system (CNS), microglia rapidly respond to acute brain injury and engage in dynamic crosstalk with infiltrating peripheral immune cells, collectively shaping the neuroinflammatory milieu—a critical factor governing mortality and long-term functional deficits after intracerebral hemorrhage (ICH).
Read the full summary ↓
However, the underlying molecular regulatory mechanisms of microglial pathogenic activities remain elusive. Fatty acid-binding protein 4 (FABP4), a metabolic disorder-associated adipokine, have been recognized as a key modulator in inflammatory response. In our study, clinical analyses in ICH patients demonstrated a significant positive correlation between elevated serum FABP4 levels and unfavorable neurological outcomes. Moreover, microglial Fabp4 knockout resulted in attenuated neuronal loss, mitigated cerebral edema, and improved functional recovery after ICH in mice. Mechanistically, increased FABP4 not only promoted lipid droplet deposition, but also inhibited the ubiquitin-proteasome degradation of S100A9 in microglia, synergistically amplifying neuroinflammatory responses. Interestingly, microglial FABP4 also facilitated peripheral neutrophil transendothelial migration into brain parenchyma, and exacerbated brain injury through neutrophil extracellular trap release. Notably, pharmacological inhibition of FABP4 using brain-targeted nanoparticles demonstrated substantial neuroprotective effects in ICH models. These results collectively establish a novel role of FABP4 in orchestrating brain inflammation after ICH and could be targeted to improve neurological outcome.
Published in
Fatty acid-binding protein 4 drives microglia-mediated neuroinflammation through promoting S100A9 expression and lipid droplet accumulation after intracerebral hemorrhage
He J, Qin Z, Liu H et al. · Journal of neuroinflammation 2025 · PMID 41204337 · doi:10.1186/s12974-025-03573-6
This dataset
Open GSE295108 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 GSE295108_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 PRJNA1253546 and SRA study SRP580095. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41204337) ↗
Study design
3 × Sham-Fabp4fl_fl vs 3 × Sham-Fabp4CKO vs 3 × ICH-Fabp4CKO

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 9 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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