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Targeting the chromatin remodeler BAZ2B mitigates liver aging and fibrosis

GSE280663 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 46 samples Submitted 2025/03/12 Platform GPL24247Platform GPL19057
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 46 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
Mus musculus (mouse)
Samples
46 samples: 40 distinct titles, 6 of them repeatedGroups 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
Targeting the chromatin remodeler BAZ2B mitigates hepatic senescence and MASH fibrosisNature aging · 2025
Summary (written by the submitters)
Increasing age enhances the liver's vulnerability to nonalcoholic steatohepatitis (NASH) with fibrosis. Unraveling the intricate molecular relationship among aging, cellular senescence, and NASH is critical for developing effective treatments, yet it remains a daunting challenge. Here we report a vital epigenetic mechanism that links liver aging to NASH fibrosis.
Read the full summary ↓
We find that up-regulation of a chromatin remodeler BAZ2B in a subpopulation of hepatocytes contributes to the pathological progression of NASH in patients. Genetic ablation or hepatocyte-specific knockdown of Baz2b rejuvenates hepatic cells and limits diet-induced steatohepatitis and liver fibrosis via preserving the peroxisome proliferator-activated receptor α (PPARα)-mediated lipid metabolism, which was impaired in both naturally aging and NASH mouse livers. Mechanistically, Baz2b down-regulates the expression of genes related to the PPARα signaling pathway by directly binding their promoter regions and reducing chromatin accessibility. Our study thus unravels the BAZ2B-PPARα-lipid-metabolism signal axis as a key pathway linking liver aging to NASH fibrosis, suggesting that BAZ2B is a potential therapeutic target for hepatic fibrosis.
Published in
Targeting the chromatin remodeler BAZ2B mitigates hepatic senescence and MASH fibrosis
Tu C, Qian C, Li S et al. · Nature aging 2025 · PMID 40389730 · doi:10.1038/s43587-025-00862-w
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 GSE280663_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1179915 and SRA study SRP542093. Searching any of these in the dataset finder brings you back here.

Study design
40 distinct titles, 6 of them repeated
WT young ×2 Heter young ×2 Homo young ×2 WT elder ×2 Heter elder ×2 Homo elder ×2

How we read this: Read from 46 sample titles: 40 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

+ 6 more — browse all 46 samples with per-sample file links →

Datasets on a similar topic

Search all mouse ChIP / ATAC / CUT&Tag datasets in GEO →

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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.