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Gain-of-function RNA Polymerase II partitioning is a shared feature of diverse oncogenic fusions

GSE267717 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 14 samples Submitted 2025/03/25 Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 14 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
14 samples: 14 samples, each with a distinct title — no replicated groupsGroups 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
RNA polymerase II partitioning is a shared feature of diverse oncofusion condensatesCell · 2025
Summary (written by the submitters)
Condensates regulate transcription by selectively compartmentalizing biomolecules, yet the rules of selectivity and their relationship to function remain enigmatic. To identify rules with links to function, we leverage the genetic/evolutionary selection bias of condensate-promoting oncofusions.
Read the full summary ↓
Focusing on the three most frequent oncofusions driving translocation renal cell carcinoma, we find that they promote the formation of condensates that activate transcription by gain-of-function RNA Polymerase II partitioning through a shared signature of elevated p and p-interacting residues and depletion of aliphatic residues. This signature is shared among a broad set of oncofusions associated with diverse cancers. We find that this signature is necessary and sufficient for RNA Polymerase II partitioning, gene activation, and cancer cell phenotypes. Our results reveal that dysregulated condensate selectivity is a shared molecular mechanism of diverse oncofusions, highlighting the functional role of condensate composition and the power of genetics in investigating relationships between condensate selectivity rules and function.
Published in
RNA polymerase II partitioning is a shared feature of diverse oncofusion condensates
Lyons H, Pradhan P, Prakasam G et al. · Cell 2025 · PMID 40286793 · doi:10.1016/j.cell.2025.04.002
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 GSE267717_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 PRJNA1112450 and SRA study SRP508221. Searching any of these in the dataset finder brings you back here.

Study design
14 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 14 sample titles: 14 distinct titles with little repetition. 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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