← BioTransfer GEO Dataset Finder
GEO series

Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation

GSE301505 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 210 samples Submitted 2026/03/27 Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 210 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)
Samples
210 samples: 49 conditions, mostly with about 4 replicates eachGroups 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
Mutual antagonism between PRC1 condensates and SWI/SNF in chromatin regulationMolecular cell · 2026
Summary (written by the submitters)
Opposing activities of conserved chromatin regulatory complexes, such as the Polycomb Repressive Complex 1 (PRC1) and the activating chromatin remodeler SWI/SNF play critical roles in regulating gene expression. However, the mechanisms by which these complexes compete to regulate chromatin states remain poorly understood. Here, we demonstrate that the condensate-forming properties of PRC1 play an important role in excluding SWI/SNF from chromatin.
Read the full summary ↓
Consistently, PRC1 compositions with a higher propensity for condensate formation are more effective in preventing SWI/SNF binding. Conversely, SWI/SNF-bound chromatin significantly reduces PRC1 binding and subsequent condensate formation. Notably, SWI/SNF can suppress PRC1 condensate formation in an ATP-hydrolysis independent manner, suggesting a mechanism driven by competitive binding and steric hindrance rather than active remodeling. Our findings reveal a mutual antagonism between PRC1 condensates and SWI/SNF chromatin remodeling, highlighting the importance of PRC1 composition and condensate formation in regulating gene repression.
Published in
Mutual antagonism between PRC1 condensates and SWI/SNF in chromatin regulation
Niekamp S, Marr SK, Sanon R et al. · Molecular cell 2026 · PMID 42034057 · doi:10.1016/j.molcel.2026.04.001
This dataset
Open GSE301505 in finder → Find more human 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 GSE301505_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 PRJNA1284255 and SRA study SRP596143. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42034057) ↗
Study design
49 conditions, mostly with about 4 replicates each
wild type RNA-Seq (HCT116) ×10 wild type BAF155 CUT&RUN (HCT116) ×8 wild type H3K27ac CUT&RUN (HCT116) ×8 wild type H3K27me3 CUT&RUN (HCT116) ×8 wild type IgG CUT&RUN (HCT116) ×8 wild type PHC2 CUT&RUN (HCT116) ×8 wild type RING1B CUT&RUN (HCT116) ×8 PHC2 L307R mutant RNA-Seq (HCT116) ×6 +41 more

Supports a case/control comparison: 74 samples read as cases, 80 as controls.

How we read this: 49 replicated groups read from 210 sample titles; they account for 210 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

+ 170 more — browse all 210 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq 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.