← BioTransfer GEO Dataset Finder
GEO series

DNA topological regulation by topoisomerase IIβ-DNA-PK interaction is important for controlled hypoxia-inducible gene expression [RNA-Seq]

GSE285698 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/01/26 Platform GPL20795
At a glance

RNA-seq (gene expression) · human · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
12 samples: 3 × HCT cells, WT, without hypoxicstress, vs 3 × HCT cells, DNA-PK KO, without hypoxicstress, vs 3 × HCT cells, WT, with hypoxicstress, vs 3 × HCT cells, DNA-PK KO, with hypoxicstress,Groups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Epigenetic dysregulation of H19/IGF2 in hepatic cells exposed to toxic metal mixtures in vitroScientific reports · 2024
Summary (written by the submitters)
Hypoxic stress responses are crucial for cellular and organismal survival and provoke gene regulation in diverse biological pathways including cell cycle progression and energy metabolism. Here, we identified that topoisomerase IIβ (TOP2B) regulates DNA topology and transcription in hypoxiainducible genes (HIGs) in a DNA-PK-dependent manner.
Read the full summary ↓
Cellular, mutational, and genomic analyses showed antagonistic relation between TOP2B and DNA-PK. TOP2B associates with HIGs and represses transcription by suppressing negative supercoiling formation under normoxic conditions.Under hypoxia, TOP2B is released, whereas DNA-PK and HIF1a are recruited to and activate HIGs.
Published in
Epigenetic dysregulation of H19/IGF2 in hepatic cells exposed to toxic metal mixtures in vitro
Jo Y, Lim E, Park J et al. · Scientific reports 2024 · PMID 39592715 · doi:10.1038/s41598-024-80142-6
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE285698_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1205669 and SRA study SRP554899. Searching any of these in the dataset finder brings you back here.

Study design
3 × HCT cells, WT, without hypoxicstress, vs 3 × HCT cells, DNA-PK KO, without hypoxicstress, vs 3 × HCT cells, WT, with hypoxicstress, vs 3 × HCT cells, DNA-PK KO, with hypoxicstress,

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

Search all human RNA-seq 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.