← BioTransfer GEO Dataset Finder
GEO series

Charting the regulatory landscape of TP53 on transposable elements in cancer [ChIP-seq]

GSE262052 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 9 samples Submitted 2024/10/20 Platform GPL34295
Summary
The relationship between p53 and transposable elements (TEs) has been obscure. Thus, comprehensive profiling of TE-derived transcripts dynamics under the regulation of p53 provides valuable resources for more clarity in p53’s roles in cancer. In this study, we created three cancer cell lines with p53 genetic status as the only variable and combined long-read RNA-seq and short-read RNA-seq to define TE and TE-derived transcripts’ regulatory dynamics. We identified in total 2,503 transcripts that use TE as potential promoters, among which, 141 to 210 are activated by p53. We found ERVs to be a main driver of potential promoters, followed by LINEs. Epigenomic profiling including chromatin accessibility and DNA methylation provided additional support for active promoter potential for p53 upregulated TE-derived transcripts. Short-term restoration of p53 partially recovered chronic p53-regulated TE-derived transcript profile but gain of function TP53 mutations, R175H and R273H, did not show evidence to act via TE network. Overall, we provide a controlled isogenic cancer cell line system with TP53 mutation status as the only genetic variable, deliver a high confidence TE and TE-derived transcript atlas and comprehensively identify active TE promoters that are direct and indirect targets of p53.
Published in
Charting the regulatory landscape of TP53 on transposable elements in cancer
Qu X, Liang Y, McCornack C et al. · Genome research 2025 · PMID 40360186 · doi:10.1101/gr.279398.124
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE262052_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1090102 and SRA study SRP496771. 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.

+ 9 more — browse all 9 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.