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Ectopic recruitment of the CTCF N-terminal domain with two proximal zinc-finger domains as a tool for 3D genome engineering [CHIP-seq]

GSE300307 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 27 samples Submitted 2025/08/15 Platform GPL20301
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 27 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
27 samples: 26 distinct titles, 1 of them repeatedGroups 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
Ectopic Recruitment of the CTCF N-Terminal Domain with Two Proximal Zinc-Finger Domains as a Tool for 3D Genome EngineeringInternational journal of molecular sciences · 2025
Summary (written by the submitters)
We developed a panel of chimeric proteins consisting of either full-length or truncated CTCF fused with programmable DNA-binding module dCas9 and fluorescent tracker EGFP. We found that the recruitment of a chimeric protein based on the CTCF N-­terminal domain and two zinc-finger domains to the human HOXD locus leads to the de novo formation of a spatial contact with a nearby cohesin/CTCF-­bound region anchoring several chromatin loops.
Read the full summary ↓
This chimeric protein did not show binding to CTCF motifs and did not affect epigenetic and transcription profile of the locus. Recruitment of this chimeric protein is also able to restore chromatin loops, lost after deletion of an endogenous CTCF ­binding site. Together, our data indicate that the ectopic recruitment of CTCF N-terminal part could be an appropriate tool for the 3D genome engineering.
Published in
Ectopic Recruitment of the CTCF N-Terminal Domain with Two Proximal Zinc-Finger Domains as a Tool for 3D Genome Engineering
Tiukacheva EA, Luzhin AV, Kruglova N et al. · International journal of molecular sciences 2025 · PMID 40806572 · doi:10.3390/ijms26157446
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 GSE300307_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 PRJNA1280070 and SRA study SRP593535. Searching any of these in the dataset finder brings you back here.

Study design
26 distinct titles, 1 of them repeated
K562 cells, N+2 CTCF-dCas9-EGFP, ChIP, H3K27m… ×2

How we read this: Read from 27 sample titles: 26 distinct titles with little repetition. 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

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