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RXRα Suppression Drives Hepatic Metabolic and Immune Dysfunction in Sepsis​: Gene induction by BEX in Sham & CLP (8h)

GSE319754 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/05/04 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, DMSO control, vs 3 × Sham, Bexarotene, vs 3 × CLP, DMSO control, vs 3 × CLP, Bexarotene,Groups 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.
Summary (written by the submitters)
Sepsis is a life-threatening condition where a dysregulated host response to infection causes organ dysfunction and the collapse of metabolic and immune functions. Here, we identify hepatocyte Retinoid X Receptor α (RXRα) as a central integrator of host resilience during polymicrobial sepsis. We show that hepatic Rxra expression is transcriptionally dependent on the upstream regulator Hepatocyte Nuclear Factor 4 α (HNF4α), and that sepsis rapidly suppresses RXRα abundance at both the mRNA and protein levels.
Read the full summary ↓
Transcriptomic profiling further reveals that the septic liver develops partial resistance to pharmacological RXR activation by its agonist Bexarotene (Bex). Despite this, prophylactic treatment with Bex preserves metabolic stability, enhances bacterial clearance, and improves survival. Using hepatocyte-specific inducible RXRα-deficient mice (RXRαiAlbKO), we demonstrate that this protective effect is strictly dependent on hepatocyte RXRα. Mechanistically, the loss of RXRα in hepatocytes leads to a profound reduction in the liver-resident macrophage, Kupffer cells (KC), resulting in uncontrolled bacterial dissemination and increased mortality. This defect is phenocopied by selective KC depletion. These findings establish that hepatocyte RXRα is essential for maintaining the hepatic macrophage niche, thereby linking hepatocellular transcriptional competence to systemic antibacterial defense.
This dataset
Open GSE319754 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 GSE319754_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 PRJNA1425052 and SRA study SRP677831. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × Sham, DMSO control, vs 3 × Sham, Bexarotene, vs 3 × CLP, DMSO control, vs 3 × CLP, Bexarotene,

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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