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Optineurin Shapes Basal and LPS-Induced Transcriptomes in BV2 Microglia

GSE307044 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/11/10 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 × CTRL vs 3 × LPS vs 3 × KO vs 3 × KO_LPSGroups 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
Optineurin Shapes Basal and LPS-Induced Transcriptomes in BV2 MicrogliaInternational journal of molecular sciences · 2025
Summary (written by the submitters)
The OPTN gene is linked to neurodegenerative diseases like amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), which are characterized by chronic microglial activation. Optineurin regulates inflammatory signaling, autophagy, and trafficking, but its role in microglia is not well understood. We used bulk RNA sequencing to profile CRISPR-Cas9-mediated optineurin knockout (KO) and wild-type (WT) BV2 microglia under basal conditions and upon LPS stimulation.
Read the full summary ↓
At baseline, optineurin KO altered approximately 7% of the transcriptome, with a notable downregulation of type I interferon and antiviral pathways. LPS stimulation in wild-type cells triggered a broad transcriptional shift (~35% of genes). This LPS-induced response was blunted in optineurin-deficient microglia, with ~16% of genes changed relative to the KO baseline. Furthermore, LPS-treated optineurin KO microglia notably diverged from LPS-treated wild-type cells, with ~26% differentially expressed genes. Our findings establish optineurin as a key regulator of the microglial transcriptome. Its loss weakens basal interferon-mediated immune surveillance and decouples the canonical inflammatory response from cell cycle arrest upon activation.
Published in
Optineurin Shapes Basal and LPS-Induced Transcriptomes in BV2 Microglia
Cappelli S, Peradinovic J, Mohovic N et al. · International journal of molecular sciences 2025 · PMID 41226491 · doi:10.3390/ijms262110453
This dataset
Open GSE307044 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 GSE307044_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 PRJNA1314160 and SRA study SRP616527. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41226491) ↗
Study design
3 × CTRL vs 3 × LPS vs 3 × KO vs 3 × KO_LPS

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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