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Targeting NPM1 Epigenetically Promotes Post-infarction Cardiac Repair by Reprogramming Reparative Macrophage Metabolism [CUT&Tag]

GSE230938 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2026/01/26 Platform GPL21273
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.
Paper
Targeting NPM1 Epigenetically Promotes Postinfarction Cardiac Repair by Reprogramming Reparative Macrophage MetabolismCirculation · 2024
Summary (written by the submitters)
Background: Post-infarction heart failure is attributed to ischemia-induced myocardial inflammation and unfavorable remodeling, with reparative macrophages playing a crucial role in limiting excessive fibrosis and promoting cardiac repair via cytokine secretion and cross-cell interactions. Hence, a timely and adequate transition of macrophage phenotypes is essential for proper wound healing post-MI, but the precise mechanisms underlying this process remain incompletely elucidated.
Read the full summary ↓
Methods: To elucidate the function of NPM1 in post-infarct cardiac repair, we generated macrophage-specific NPM1 knockout mouse models. Additionally, Cut&Tag assays were conducted on cardiac macrophages for the first time to explore the epigenetic mechanisms underlying NPM1-mediated regulation of macrophage metabolic reprogramming. Results: Macrophage-specific deletion of NPM1 in MI mouse models resulted in reduced tissue fibrosis and enhanced cardiac repair by promoting the phenotypic transition of macrophages towards a reparative state. NPM1 deletion also led to a shift in macrophage metabolism from glycolysis to mitochondrial OXPHOS via inactivation of the mTOR cascades. Mechanistically, we demonstrated that IL-4 induced NPM1 oligomerization, which recruited histone demethylase KDM5b to the promoter region of Tsc1, ultimately leading to macrophage metabolic rewiring. Antisense oligonucleotides and inhibitory compounds targeting NPM1 exhibited notable protective effects on cardiac repair post-MI. Conclusions: Our study demonstrates that NPM1 may serve as a promising prognostic biomarker and a valuable therapeutic target for ischemia-induced heart failure, shedding new light on the understanding of post-infarct cardiac repair and may pave the way for the development of innovative therapeutic strategies.
Published in
Targeting NPM1 Epigenetically Promotes Postinfarction Cardiac Repair by Reprogramming Reparative Macrophage Metabolism
Zhang S, Zhang Y, Duan X et al. · Circulation 2024 · PMID 38390737 · doi:10.1161/CIRCULATIONAHA.123.065506
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 GSE230938_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 PRJNA962931 and SRA study SRP435097. Searching any of these in the dataset finder brings you back here.

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
Datasets on a similar topic

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