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Microglial reactivity and neuroinflammation-driven in motivational behaviors are regulated by Orai1 channels

GSE310141 Mus musculus (mouse) RNA-seq (gene expression) 67 samples Submitted 2025/11/24 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 67 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
67 samples: 22 conditions, mostly in triplicateGroups 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
Microglial reactivity and neuroinflammation-driven changes in motivational behaviors are regulated by Orai1 calcium channelsScience signaling · 2026
Summary (written by the submitters)
Microglia are the primary immune cells of the central nervous system (CNS) and act as the first line of defense against disease and injury in the brain by releasing inflammatory molecules and clearing dead cells. Microglial functions are tightly regulated by dynamic transitions between homeostatic and reactive cell states, which can either exacerbate or resolve CNS inflammation.
Read the full summary ↓
While Ca2+ signaling is known to regulate specific microglial functions such as phagocytosis, its role in controlling these critical state transitions remains poorly understood. Here, we identify the Orai1 Ca2+ channel as a key regulator of microglial plasticity and inflammation-induced behavioral dysfunction in mice. Transcriptomic and metabolomic analyses revealed that conditional Orai1 deletion in microglia suppressed proinflammatory programs linked to immunity and inflammation. Conversely, Orai1 knockout increased expression of growth factors and anti-inflammatory mediators, including BDNF, ARG1, and the mitochondrial metabolite, itaconate. In a model of CNS inflammation induced by peripheral inflammatory challenge with lipopolysaccharide (LPS), Orai1 deficiency attenuated microglial and astrocyte reactivity and reduced hippocampal levels of the cytokines IL-1β and IL-6. Consistent with these cellular changes, microglial Orai1 knockout mice were protected against LPS-induced changes in motivational, depression-like behaviors, including impairments in reward-seeking and escape responses. These findings establish Orai1 channels as central regulators of microglial cell plasticity and neuroimmune responses, highlighting their therapeutic potential for neuroinflammatory disorders.
Published in
Microglial reactivity and neuroinflammation-driven changes in motivational behaviors are regulated by Orai1 calcium channels
DeMeulenaere KE, Grant RA, Martin ME et al. · Science signaling 2026 · PMID 41701811 · doi:10.1126/scisignal.ady8398
This dataset
Open GSE310141 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 GSE310141_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 PRJNA1365204 and SRA study SRP645416. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41701811) ↗
Study design
22 conditions, mostly in triplicate
KO_Male_LPS_24hrs_inVivo ×4 WT_Male_LPS_24hrs_inVivo ×4 WT_Female_LPS_24hrs_inVivo ×4 KO_Female_Vehicle_inVivo ×3 KO_Female_LPS_24hrs_inVivo ×3 KO_Male_Vehicle_inVivo ×3 WT_Male_Vehicle_inVivo ×3 WT_Female_Vehicle_inVivo ×3 +14 more

Supports a between-group comparison across 67 samples.

How we read this: 22 replicated groups read from 67 sample titles; they account for 67 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

+ 27 more — browse all 67 samples with per-sample file links →

Datasets on a similar topic

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