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Lamins gate nuclear and chromatin structures for cardiomyocyte maturation genes.

GSE330298 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 35 samples Submitted 2026/08/05 Platform GPL19057Platform GPL32159
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 35 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
35 samples: 13 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
Lamins gate nuclear and chromatin structures for cardiomyocyte maturation genesbioRxiv : the preprint server for biology · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Lamins gate nuclear and chromatin structures for cardiomyocyte maturation genes
Bossone KA, Zheng X, Kristiani L et al. · bioRxiv : the preprint server for biology 2026 · PMID 42239077 · doi:10.64898/2026.05.20.726565
This dataset
Open GSE330298 in finder → Find more mouse RNA-seq 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 GSE330298_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 PRJNA1463320 and SRA study SRP698020. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42239077) ↗
Study design
13 conditions, mostly in duplicate
Nkx2-5Cre;Lmnb1F/+, P7.5 Heart, bulk RNA-seq, ×4 Nkx2-5Cre;Lmnb1F/-, P7.5 Heart, bulk RNA-seq, ×4 WT, P0.5 Heart, IgG CUT&RUN, ×4 Nkx2-5Cre;Lmnb1Flox/-, P0.5 Heart, scRNA, ×2 WT, P0.5 Heart, H3K9me2 CUT&RUN, ×2 WT, P0.5 Heart, H3K9me3 CUT&RUN, ×2 WT, P0.5 Heart, H3K27ac CUT&RUN, ×2 Nkx2-5Cre;Lmnb1Flox/+, P0.5 Heart, Lamin-A CU… ×2 +8 more

Supports a between-group comparison across 32 samples.

How we read this: 13 replicated groups read from 35 sample titles; they account for 32 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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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.