← BioTransfer GEO Dataset Finder
GEO series

Liver-specific inactivation of Cideb improves metabolic profiles and ameliorates steatohepatitis and fibrosis in animal models for MASH

GSE279351 Mus musculus (mouse) RNA-seq (gene expression) 45 samples Submitted 2025/04/12 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 45 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
45 samples: 6 conditions, mostly with about 8 replicates eachGroups 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)
Background and Aims: Germline mutations in CIDEB, a lipid droplet (LD)-associated protein, confer protection against various liver diseases in humans. Whether liver-specific inhibition of CIDEB will bring clinical benefits remains to be determined. We aim to establish preclinical proof of concept by testing GalNac-conjugated Cideb siRNAs in animal models for obesity and MASH and to develop siRNA drug candidates for clinical investigations.
Read the full summary ↓
Method: Surrogate siRNAs targeting mouse Cideb were designed and evaluated via a panel of assays. In vivo administration of the surrogate siRNAs was conducted in diet-induced obesity model and CDAA-HFD model for MASH. Plasma and liver lipid levels were measured, and liver histopathological features were analyzed. RNA-Seq analysis of liver tissues was performed to gain a comprehensive mechanistic understanding of Cideb target biology. Concurrently, humanized CIDEB knock-in mice were generated as a research tool to aid human therapeutic siRNAs discovery and development. Results: Single administration of a potent surrogate siRNA resulted in more than 80% target knockdown up to two weeks. In the DIO model, Cideb knockdown led to significant reductions of plasma total cholesterol (TC) and triglyceride (TG) levels, a significant decrease in hepatic macro-steatosis and notable body weight loss. In the CDAA-HFD model, Cideb siRNA treatment significantly reduced liver weight as well as liver TC and TG levels. Furthermore, remarkable reductions of hepatic steatosis and total NAS score were observed with a concomitant amelioration of liver fibrosis. Transcriptome analyses revealed key mechanisms upon Cideb inactivation beyond lipid metabolism. Conclusion: CIDEB exhibits significant potential as a therapeutic target for the treatment of MASH. Liver-targeting siRNA candidates are being developed to test the therapeutic hypothesis in humans.
This dataset
Open GSE279351 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 GSE279351_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 PRJNA1172133 and SRA study SRP538683. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly with about 8 replicates each
Model group ×8 GFT505_30 mg/kg group ×8 Negative control siRNA group ×8 Surrogate siRNA 1 mg/kg group ×8 Surrogate siRNA 10 mg/kg group ×8 Sham group ×5

Supports a between-group comparison across 45 samples.

How we read this: 6 replicated groups read from 45 sample titles; they account for 45 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

+ 5 more — browse all 45 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.