← BioTransfer GEO Dataset Finder
GEO series

EZH2 gain-of-function mutations distort  H3K27me3 landscapes and transform transcriptional responses to PRC2 inhibition [ChIP-Seq/Cut&Run-Seq]

GSE218716 Homo sapiens; Mus musculus Genome binding/occupancy profiling by high throughput sequencing; Other 156 samples 2024/03/06 GPL24247GPL24676
Summary
We have modelled several tumor-associated PRC2 mutations in a single isogenic system in order to reveal their comparative impacts on chromatin and transcription. We have also explored the link between EZH2 mutational status and abnormal H3K27 methylation in a unique longitudinal cohort of follicular lymphoma (FL) patient samples.
Download
NCBI GEO page ↗ Paper (PMID 38658543) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more ChIP / ATAC / CUT&Tag datasets →
Similar datasets

Search all 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.