GEO series
Nucleosome reorganisation in breast cancer tissues
GSE210250
Homo sapiens
Genome binding/occupancy profiling by high throughput sequencing
17 samples
2024/04/17
GPL16791GPL24676
Summary
Background Nucleosome repositioning in cancer is believed to cause many changes in genome organisation and gene expression. Understanding these changes is important to elucidate fundamental aspects of cancer. It is also important for medical diagnostics based on cell-free DNA (cfDNA), which originates from genomic DNA regions protected from digestion by nucleosomes. Results We have generated high-resolution nucleosome maps in paired tumour and normal tissues from the same breast cancer patients using MNase-assisted histone H3 ChIP-seq and compared them with the corresponding cfDNA from blood plasma. This analysis has detected single-nucleosome repositioning at key regulatory regions in a patient-specific manner and common cancer-specific patterns across patients. The nucleosomes gained in tumour versus normal tissue were particularly informative of cancer pathways, with ~ 20-fold enrichment at CpG islands, a large fraction of which marked promoters of genes encoding DNA-binding proteins. The tumour tissues were characterised by a 5–10 bp decrease in the average distance between nucleosomes (nucleosome repeat length, NRL), which is qualitatively similar to the differences between pluripotent and differentiated cells. This effect was correlated with gene activity, differential DNA methylation and changes in local occupancy of linker histone variants H1.4 and H1X. Conclusions Our study offers a novel resource of high-resolution nucleosome maps in breast cancer patients and reports for the first time the effect of systematic decrease of NRL in paired tumour versus normal breast tissues from the same patient. Our findings provide a new mechanistic understanding of nucleosome repositioning in tumour tissues that can be valuable for patient diagnostics, stratification and monitoring.
Download
NCBI GEO page ↗
Paper (PMID 38561804) ↗
{# 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
- GSE316079 SLF2 and SMC5 dysfunction drives HSC aging and predisposes to MDS, defining a new inherited bone marrow failure syndrome [ATAC-seq] 6 samples
- GSE334112 Reversible epiblast regionalisation determines differentiation potential of human PSCs [ATAC-seq] 38 samples
- GSE329512 SUMOylation enhances DNMT1 function to repress mega-intergenic RNAs and viral mimicry 19 samples
- GSE327821 Single-molecule, single-cell profiling of linked chromatin states [Single_cell_CoCUT&Tag] 200 samples
- GSE318107 CAD-C: An engineered nuclease enables repair-free in situ proximity ligation and nucleosome-resolution chromosome walks in human cells [Cut & Tag] 10 samples
- GSE142751 Genome-wide maps of chromatin state in 142 cancer cell lines [cell line] 855 samples
- GSE339365 Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19 120 samples
- GSE296190 Hypoxic regulation of chromatin and gene transcription [ChIP-seq] 84 samples
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.