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RANKL inhibits macrophage pro-inflammatory Toll-like receptor 2 and 4 signaling and impairs killing of intracellular bacteria

GSE325337 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/04/21 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 8 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
RANKL inhibits macrophage proinflammatory Toll-like receptor 2 and 4 signaling and impairs killing of intracellular bacteriaImmunoHorizons · 2026
Summary (written by the submitters)
Monocyte-macrophage lineage cells, crucial components of the innate immune system, can uniquely form bone-resorbing osteoclasts upon exposure to the cytokine receptor activator of NF-κB ligand (RANKL) in the bone microenvironment. Recent studies have also begun to uncover extensive extraskeletal roles of RANKL. However, how monocyte-macrophage lineage cells respond to RANKL outside of the bone, and the impact that this signaling pathway exerts on the host immune response, is not fully understood.
Read the full summary ↓
In this study, we sought to define how RANKL exposure shapes the macrophage inflammatory response to pathogens by using the model intracellular bacterium Salmonella enterica serovar Typhimurium (STm), which co-opts macrophages to cause life-threatening infections. We found that exposing both mouse and human macrophages to sub-osteoclastogenic levels of RANKL increased intracellular STm burdens and decreased pro-inflammatory cytokine production. RNA sequencing revealed downregulation of pattern recognition receptor (PRR) signaling pathways in RANKL-treated macrophages during the early stages of infection. Therefore, we hypothesized that RANKL impairs PRR-dependent signaling pathways that are important for pro-inflammatory cytokine production. We discovered that RANKL-treated macrophages exhibit reduced NF-κB and IRF3 activation, specifically in response to Toll-like receptor (TLR) 2 and TLR4 stimulation. We determined that prior RANKL exposure decreases abundance of the TLR2 and TLR4 adaptor proteins TRAM and TIRAP. Together, these data suggest that RANKL exposure negatively impacts the macrophage TLR-mediated inflammatory response to bacteria.
Published in
RANKL inhibits macrophage proinflammatory Toll-like receptor 2 and 4 signaling and impairs killing of intracellular bacteria
Si CD, Peek CT, Fatah SR et al. · ImmunoHorizons 2026 · PMID 42177796 · doi:10.1093/immhor/vlag023
This dataset
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.

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 GSE325337_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1439724 and SRA study SRP685035. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
4h Mock-Infected 0RANKL ×3 4h Mock-Infected 100RANKL ×3 24h Mock-Infected 0RANKL ×3 24h Mock-Infected 100RANKL ×3 4h STm-Infected 0RANKL ×3 4h STm-Infected 100RANKL ×3 24h STm-Infected 0RANKL ×3 24h STm-Infected 100RANKL ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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
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