← BioTransfer GEO Dataset Finder
GEO series

PHF19 drives PRC2 sub-nuclear compartmentalization to promote motility in TNBC cells [ChIP-seq]

GSE291242 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2025/03/14 Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 24 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
Homo sapiens (human)
Topic
Breast cancerThis series is part of our curated briefing on it.
Samples
24 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)
Polycomb Repressive Complex 2 (PRC2), a master regulator of gene expression and chromatin organization, is frequently hijacked in aggressive malignancies such as triple-negative breast cancer (TNBC). Here, we identify a distinct spatial organization of PRC2 in TNBC cells, where the complex assembles into micron-sized nuclear bodies. Using high-resolution spatial proteomics on these endogenous compartments, we identify PHD Finger Protein 19 (PHF19) as the central driver of these structures.
Read the full summary ↓
We further demonstrate that an intrinsically disordered region (IDR) within PHF19 promotes its clustering into nuclear bodies and link this spatial organization to enhanced cell motility. These findings shed light on a previously unrecognized layer of PRC2 regulation in TNBC cells, demonstrating how its subnuclear compartmentalization, shaped by accessory subunits, orchestrates functional outcomes critical for cancer progression.
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 GSE291242_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 PRJNA1232644 and SRA study SRP568350. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 24 more — browse all 24 samples with per-sample file links →

More Breast cancer datasets

Search all human ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

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.