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Loss of SMARCB1 evokes targetable epigenetic vulnerabilities in Epithelioid Sarcoma [ChIP-Seq]

GSE281436 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2024/11/09 Platform GPL24676
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)
Samples
24 samples: 24 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
Loss of SMARCB1 evokes targetable epigenetic vulnerabilities in epithelioid sarcomaCancer communications (London, England) · 2025
Summary (written by the submitters)
Dysfunction of epigenetic modulators such as the SWI/SNF complex is involved in a wide spectrum of cancer entities, yet their precise role in carcinogenesis is not clear to date Among SWI/SNF-mutant entities, SMARCB1-deficient cancers such as Epithelioid Sarcoma (EpS) are characterized by this genetic event in an otherwise rather silent mutational landscape.
Read the full summary ↓
However, its oncogenic role remains unclear. Here, we generate a panel of SMARCB1 re-expressing Epithelioid Sarcoma (EpS) cell lines and employ a functional multi-omics approach to characterize and compare the function of the residual SMARCB1-deficient and the physiological SWI/SNF complex in EpS. We show that SWI/SNF holds canonical characteristics of both tumor-suppressors and proto-oncogenes due to its multi-faceted role in the regulation of the epigenome. Our data indicates that the loss of SMARCB1 causes an overall loss of SWI/SNF chromatin affinity at cis-regulatory enhancer elements, inducing a preference for uncontrolled proliferation and cell cycle progression as opposed to development and differentiation. As epigenetic regulation is a dynamic complex, we further demonstrate that EpS cell lines depend on continuous residual SWI/SNF action to maintain clonogenicity and proliferation. Consequently, our models exhibit markedly increased sensitivity to pharmacological inhibition of the residual SWI/SNF when compared with SWI/SNF-proficient cancer entities. Collectively, our results shed new light on the pleiotropic, deregulated pathways upon SWI/SNF dysfunction in EpS and provide inroads for further therapeutic approaches.
Published in
Loss of SMARCB1 evokes targetable epigenetic vulnerabilities in epithelioid sarcoma
Jin JX, Fuchslocher F, Carreno-Gonzalez M et al. · Cancer communications (London, England) 2025 · PMID 39834137 · doi:10.1002/cac2.12665
This dataset
Open GSE281436 in finder → Find more human ChIP / ATAC / CUT&Tag 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 GSE281436_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 PRJNA1183853 and SRA study SRP544115. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39834137) ↗
Study design
24 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 24 sample titles: 24 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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