← BioTransfer GEO Dataset Finder
GEO series

Enhancer plasticity in endometrial tumorigenesis demarcates non-coding driver mutations and 3D genome alterations to stimulate oncogene expression [ChIP-seq_ECa_patients]

GSE253900 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 18 samples 2025/03/24 GPL20301
Summary
The incidence and mortality of Endometrial Cancer (EC) is on the rise. 85% of ECs depend on Estrogen Receptor alpha (ERα) for proliferation, but little is known about its transcriptional regulation in these tumors. We generated epigenomics and Hi-C data streams in healthy and tumor endometrial tissues, identifying robust ERa reprogramming and profound alterations in 3D genome organization that lead to a gain of tumor-specific enhancer activity during EC development. Integration with WGS data from metastatic samples revealed a striking enrichment of non-coding somatic mutations at tumor-enriched ERa sites. Through machine learning-based predictions and interaction proteomics analyses, we identified an enhancer mutation which alters 3D genome organization, impairing recruitment of the transcriptional repressor EHMT2/G9a/KMT1C, thereby alleviating transcriptional repression of ESR1 in EC. In summary, we identified a complex genomic-epigenomic interplay in EC development and progression, altering 3D genome organization to enhance expression of the critical driver ERα. Keywords: Genome binding/occupancy profiling by high throughput sequencing
Download
NCBI GEO page ↗ Paper (PMID 40346709) ↗ {# 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 human ChIP / ATAC / CUT&Tag datasets →
Similar datasets

Search all human 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.