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Targeting branched-chain amino acids alleviates pulmonary fibrosis [CUT&Tag, histone_modification]

GSE295425 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 20 samples Submitted 2026/03/17 Platform GPL34290
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 20 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
20 samples: 10 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.
Paper
Dietary intake and BCAA metabolism regulate pulmonary fibrosis through KDM4A-mediated epigenetic remodeling in male miceNature communications · 2026
Summary (written by the submitters)
Purpose: Previous studies demonstrated that BCAA metabolic reprogramming induces idiopathic pulmonary fibrosis (IPF). This study investigates BCAA-mediated gene expression regulation in primary mouse lung fibroblasts (MLFs). Methods: MLFs were cultured in two media conditions: complete medium (Complete) or BCAA-free medium (Free) for 24 hours prior to TGF-β1 (20 ng/mL) stimulation for 48 hours. H3K4me3, H3K27ac, H3K27me3, H3K36me3, and H3K9me3 CUT&Tag analyses were conducted on treated MLFs. Conclusions: BCAA plays a crucial role in modulating H3K36me3 of key fibrotic genes.
Published in
Dietary intake and BCAA metabolism regulate pulmonary fibrosis through KDM4A-mediated epigenetic remodeling in male mice
Yao J, Fang S, Lei M et al. · Nature communications 2026 · PMID 42045225 · doi:10.1038/s41467-026-72273-3
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 GSE295425_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 PRJNA1254654 and SRA study SRP580878. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly in duplicate
BCAA_TGFb_H3K36me3 ×2 Free_TGFb_H3K36me3 ×2 BCAA_TGFb_H3K9me3 ×2 Free_TGFb_H3K9me3 ×2 BCAA_TGFb_H3K27me3 ×2 Free_TGFb_H3K27me3 ×2 BCAA_TGFb_H3K4me3 ×2 Free_TGFb_H3K4me3 ×2 +2 more

Supports a between-group comparison across 20 samples.

How we read this: 10 replicated groups read from 20 sample titles; they account for 20 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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