← BioTransfer GEO Dataset Finder
GEO series

Targeting the 3D genome by anthracyclines for chemotherapeutic effects

GSE285987 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 4 samples Submitted 2025/01/14 Platform GPL20301
Summary
The chromatins are folded into three-dimensional (3D) structures, and aberrant chromatin 3D folding has been shown in cancer. We performed ATAC-seq and TOP2A ChIP-seq to profile the potential effects of different anthracyclines on the chromatin. We identified that unique anthracycline variants selectively target chromatin looping anchors via disrupting CTCF binding, suggesting an additional potential therapeutic effect on the 3D genome. We further performed Hi-C experiments, and data from K562 cells treated with the selective anthracycline drugs indicate that the global 3D chromatin organizations were disrupted dramatically, as exemplified by the disruption of distal regulation of the Myc gene. Furthermore, AML patients receiving anthracycline drugs showed altered chromatin structures around potential looping anchors, which linked to distinct clinical outcomes. Our data indicate that anthracyclines are potent and selective epigenomic targeting drugs and can further target the 3D genome for anticancer effects, which could be explored for personalized medicine to treat tumors with aberrant 3D chromatin structures.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE285987_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1207420 and SRA study SRP555704. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

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.