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A phase separated active subnuclear compartment safeguards repressive chromatin domains [ChIP-seq]

GSE225895 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 13 samples Submitted 2024/04/09 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 13 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
13 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.
Summary (written by the submitters)
The nucleus is composed of membrane-less subnuclear compartments, containing intrinsically disordered proteins and RNAs that phase separate (PS) and contribute to specific nuclear reactions. However, whether and how different subnuclear compartments can intercommunicate remains elusive. Here we identified nuclear bodies with PS features composed of BAZ2A, a factor associating with active chromatin.
Read the full summary ↓
BAZ2A-bodies depend on active transcription, RNAs, and the non-disordered BAZ2A RNA-binding TAM domain. Although BAZ2A and H3K27me3 occupancies anticorrelate in the linear genome, in the nuclear space BAZ2A-bodies contact H3K27me3-bodies. Disruption of BAZ2A-bodies promotes BAZ2A invasion into H3K27me3-domains, causing H3K27me3-bodies loss, H3K27me3 decrease, and gene upregulation. BAZ2A-bodies formation is negatively regulated by the nuclear-speckles associated lncRNA Malat1 that interacts with BAZ2A and mediates BAZ2A association to chromatin at nuclear speckles, which do not contact BAZ2A-bodies. The results unravel how active compartments protect repressive compartments using PS mechanisms that are promoted or impaired according to the type of RNA interactions with RNA-binding proteins.
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 GSE225895_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 PRJNA937860 and SRA study SRP424049. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 13 more — browse all 13 samples with per-sample file links →

Datasets on a similar topic

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