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CREPT aggravates liver fibrosis through TGF-β activated-Smad2/3 but not Smad4 in hepatocytes

GSE306355 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2025/08/28 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
12 samples: 6 conditions, mostly in duplicateGroups 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 & Aims: Liver fibrosis, a serious medical condition with limited therapies, frequently progresses to cirrhosis and other severe complications. Here, we report that cell cycle-related and expression elevated protein in tumor (CREPT) is up-regulated in liver fibrosis. CREPT preferentially enhances transforming growth factor-β (TGF-β)-activated Smad2/3, rather than the canonical Smad2/3-Smad4 complex, thereby facilitating liver fibrosis progression.
Read the full summary ↓
Methods: We analyzed public transcriptomic and proteomic datasets from patients with liver fibrosis. Human tissue arrays and mouse models of fibrosis were used to investigate CREPT expression patterns. Hepatocyte-specific overexpression (TG-CREPT) and deletion (CREPThep-/-) mice were subjected to acute liver injury (24 h, high-dose CCl4), chronic fibrosis (28 d, low-dose CCl4), and bile duct ligation (BDL) to induce liver fibrosis. Histological, biochemical, and RNA-sequencing (RNA-seq) analyses and CUT&Tag experiments were conducted. Results: CREPT is predominantly enriched in hepatocytes and upregulated in fibrotic liver tissues from patients and mice induced by CCl4 or BDL. Overexpression of CREPT in hepatocytes exacerbates liver injury and fibrosis in mice under acute or chronic CCl4 exposure and BDL challenge. In contrast, hepatocyte-specific deletion of CREPT significantly alleviates liver fibrosis. Mechanistically, CREPT aggravates TGF-β/Smad signaling pathway, preferentially interacting with Smad2/3, but not Smad4, to promote inflammatory responses, and up-regulates fibrogenic genes, including Cebpd, Fosl2 and Fn1. Intriguingly, targeting CREPT with LNP-delivered siRNA (LNP-siCREPT) and GalNAc-delivered siRNA (GalNAc-siCREPT) significantly reduces pre-existing liver fibrosis in mice. Conclusions: Our findings identify a promoting effect of CREPT on liver fibrosis through TGF-β-activated Smad2/3 but not Smad4. Targeting CREPT represents a potential therapeutic strategy for liver fibrosis.
This dataset
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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 GSE306355_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1310511 and SRA study SRP612345. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in duplicate
cuttag_crept_creptWT ×2 cuttag_crept_creptKO ×2 cuttag_Smad2/3_Smad2/3WT ×2 cuttag_Smad2/3_Smad2/3KO ×2 cuttag_Smad4_Smad4WT ×2 cuttag_Smad4_Smad4KO ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 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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