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β2 ADRENERGIC SIGNALING STIMULATES EARLY IL-1β SECRETION IN MACROPHAGES BY INDUCING MAPK-DEPENDENT Il1b TRANSCRIPTION [RNA-Seq]

GSE278577 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2025/12/19 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 30 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.
Paper
Relationship among Toll-like receptors, β2 adrenergic receptor, and mitogen-activated protein kinases in regulating Il1b transcriptionJournal of immunology (Baltimore, Md. : 1950) · 2026
Summary (written by the submitters)
Activating β2 adrenergic receptor (β2AR) on macrophages inhibits the expression of several proinflammatory cytokines, a phenomenon primarily associated with NF-κB inhibition. IL-1β is a hallmark inflammatory cytokine, and NF-κB plays a role in the transcriptional activation of Il1b in the priming phase of the NLRP3 inflammasome. Here, we report that contrarily to expectations, β2AR signaling stimulated transcription of the Il1b gene, either alone or in combination with TLR ligands.
Read the full summary ↓
Moreover, in vivo experiments demonstrated that mice with increased sympathetic tonus (Adra2ac-/-) produced higher levels of IL-1β in a β2AR-dependent manner during alum-induced peritonitis. Assay for Transposase-Accessible Chromatin using Sequencing (ATAC-Seq) experiments, genome-wide analyses of clustered genomic regions and the utilization of pharmacological inhibitors revealed that β2AR-induced Il1b expression occurs in PKA-, MAP Kinases- and AP-1-dependent manner. Our findings describe that β2AR signaling can regulate macrophage effector function in a complex way that may involve gene-specific mechanisms increasing the expression of pro-inflammatory cytokines such as IL-1β.
Published in
Relationship among Toll-like receptors, β2 adrenergic receptor, and mitogen-activated protein kinases in regulating Il1b transcription
de Melo FM, Maricato JT, Freire BM et al. · Journal of immunology (Baltimore, Md. : 1950) 2026 · PMID 41149962 · doi:10.1093/jimmun/vkaf285
This dataset
Open GSE278577 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 GSE278577_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 PRJNA1167809 and SRA study SRP536115. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41149962) ↗
Study design
30 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 30 sample titles: 30 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

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