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RBM22 CUT&Tag Profiling of Regenerative (P1) and Non-Regenerative (P8) Neonatal Mouse Cardiomyocytes

GSE295697 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 2 samples Submitted 2026/02/12 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 2 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
2 samples
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
Restoration of RBM22 overcomes the transcriptional and epigenetic barriers of cardiomyocyte proliferation for heart regenerationNature communications · 2026
Summary (written by the submitters)
Purpose: To uncover the molecular mechanisms underlying RBM22-mediated neonatal heart regeneration, we performed Cleavage Under Targets and Tagmentation (CUT&Tag) analysis on regenerative and non-regenerative wild-type (WT) mouse cardiomyocytes over a 7-day period. Methods: Cardiomyocytes were isolated from postnatal day 1 (P1, regenerative) and postnatal day 8 (P8, non-regenerative) mice, and cultured in DMEM supplemented with 10% fetal bovine serum at 37°C in a 5% CO₂ atmosphere.
Read the full summary ↓
Cells were stained to confirm the expression of cTnT, and only those with purity >97.5% were used for subsequent experiments.Results: We carried out a CUT&Tag assay using antibody against RBM22 and found the global influence of RBM22 in regulating genes in transcription regulatory regions of key genes involved in proliferative cardiomyocyte effector function.
Published in
Restoration of RBM22 overcomes the transcriptional and epigenetic barriers of cardiomyocyte proliferation for heart regeneration
Duan X, Tan Y, Zhang Y et al. · Nature communications 2026 · PMID 41803140 · doi:10.1038/s41467-026-70235-3
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 GSE295697_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 PRJNA1255616 and SRA study SRP581335. Searching any of these in the dataset finder brings you back here.

Samples in this study

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