← BioTransfer GEO Dataset Finder
GEO series

CTCF distribution around AsisI sites in IDHwt and IDHR132H DIvA cells

GSE283196 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 117 samples Submitted 2025/02/12 Platform GPL24676Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 117 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
117 samples: 51 conditions, mostly in duplicateGroups 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
D-2-hydroxyglutarate impairs DNA repair through epigenetic reprogrammingNature communications · 2025
Summary (written by the submitters)
IDH1 mutation impacts CTCF binding and function through methylating cytosine in the CTCF binding motif. We hypothesize that the impairment of CTCF-associated DNA repair process may be relevant to the loss of CTCF chromatin association and shifts in chromatin conformation. Chromatin immunoprecipitation-sequencing confirmed the loss of CTCF coverage in the proximity sites of AsisI sites in IDH1 mutant cells.
Published in
D-2-hydroxyglutarate impairs DNA repair through epigenetic reprogramming
Lang F, Kaur K, Fu H et al. · Nature communications 2025 · PMID 39920158 · doi:10.1038/s41467-025-56781-2
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 GSE283196_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1193016 and SRA study SRP548668. Searching any of these in the dataset finder brings you back here.

Study design
51 conditions, mostly in duplicate
DIvA cell, IDH wt, non treated, CTCF, ChIP, ×4 DIvA cell, IDH wt, 4-OHT, CTCF, ×4 DIvA cell, IDH mutant, non treated, CTCF, ×4 DIvA cell, IDH mutant, 4-OHT,CTCF, ×4 DIvA cell, IDH wt, non treated, input, ×4 DIvA cell, IDH wt, 4-OHT, input, ×4 DIvA cell, IDH mutant, non treated, TETdCD, ×3 DIvA cell, IDH mutant, non treated, TETCD, ×2 +45 more

Supports a case/control comparison: 77 samples read as cases, 20 as controls.

How we read this: 51 replicated groups read from 117 sample titles; they account for 115 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

+ 77 more — browse all 117 samples with per-sample file links →

Datasets on a similar topic

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.