GEO series

IRF7 links HK1-dependent histone lactylation to fibroblast activation and cardiac fibrosis [CUT&Tag]

GSE317630 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2026/04/09 Platform GPL17021

At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 10 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: 10 samples: 10 samples, each with a distinct title — no replicated groupsGroups 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)

In response to a myriad of stimuli quiescent resident cardiac fibroblasts undergo metabolic, morphological, and functional alterations to transition to myofibroblasts and mediate cardiac fibrosis. In the present study we investigated the contribution of interferon regulatory factor 7 (IRF7) to fibroblast activation and cardiac fibrosis.

Read the full summary ↓

IRF7 knockdown in quiescent cardiac fibroblasts potentiated whereas IRF7 over-expression suppressed myofibroblast transition. Consistently, targeted deletion of IRF7 fibroblasts/myofibroblasts similarly exacerbated cardiac fibrosis and dampened heart function in animal models of heart failure. Integrated transcriptomic analysis uncovered Hexokinase 1 (Hk1) as a downstream target for IRF7. Congruently, genetic deletion or pharmaceutical inhibition of HK1 protected the mice from adverse cardiac remodeling. Mechanistically, HK1 contributed to cellular lactate pool to promote histone H3K9 lactylation thus licensing the transcription of pro-fibrogenic molecules. Finally, the relevance of the IRF7-HK1 axis was authenticated in human heart specimens. In conclusion, our data unveil a previously unrecognized IRF7-HK1 axis that contributes to metaboloepigenetic reprogramming of fibroblast activation and cardiac fibrosis. Targeting this axis might yield novel therapeutic solutions for the intervention of heart failure.

This dataset

Open GSE317630 in finder → Find more mouse ChIP / ATAC / CUT&Tag 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 GSE317630_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 PRJNA1414573 and SRA study SRP666540. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

10 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 10 sample titles: 10 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

GSM9475519 TGF
GSM9475520 NC (control)
GSM9475521 TGF H3K9LC
GSM9475522 SI H3K9LC
GSM9475523 TGF-NFATC2
GSM9475524 SIHK1-NFATC2
GSM9475525 TGF-SMAD3
GSM9475526 SIHK1-SMAD3
GSM9475527 TGF-JUN
GSM9475528 SIHK1-JUN

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