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Enhanced Phase Separation Mediated Oncogenicity [ChIP-Seq experiment]

GSE263429 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2024/05/24 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 18 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
18 samples: 16 distinct titles, 2 of them repeatedGroups 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
Exclusion of HDAC1/2 complexes by oncogenic nuclear condensatesMolecular cancer · 2024
Summary (written by the submitters)
Chromosome translocation is known to generate oncogenes such as SS18-SSX1, but the underlying mechanism remains unknown. Here we show that enhanced phase separation acquired by translocation mediates oncogenic transformation. SSX fusion dramatically enhances the phase separation property of SS18 protein through H2AK119ub. Super condensates generated by SS18-SSX recruit acetyltransferases CBP/P300 as wild type SS18, but exclude HDACs such that H3K27ac accumulates abnormally at loci from those normally occupied by SS18, resulting aberrant silencing and activation of target genes.
Read the full summary ↓
Consistently, we show that inhibition of H3K27ac can attenuate the tumorigenicity of the fusion oncoprotein. These results provide the first case for phase separation as a transforming event to generate oncogene and super phase separation can be targeted for cancer therapy.
Published in
Exclusion of HDAC1/2 complexes by oncogenic nuclear condensates
Kuang J, Li P, Zhai Z et al. · Molecular cancer 2024 · PMID 38678233 · doi:10.1186/s12943-024-02002-1
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 GSE263429_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 PRJNA1097529 and SRA study SRP500297. Searching any of these in the dataset finder brings you back here.

Study design
16 distinct titles, 2 of them repeated
Ctr-HDAC ×2 SS-HDAC ×2

How we read this: Read from 18 sample titles: 16 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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