← BioTransfer GEO Dataset Finder
GEO series

Hypoxia-induced CTCF mediates alternative splicing via coupling chromatin looping and RNA Pol II pause to promote EMT in breast cancer

GSE216843 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2024/12/31 Platform GPL34284Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 18 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)
Topic
Breast cancerThis series is part of our curated briefing on it.
Samples
18 samples: 7 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
Hypoxia-induced CTCF mediates alternative splicing via coupling chromatin looping and RNA Pol II pause to promote EMT in breast cancerCell reports · 2025
Summary (written by the submitters)
Cancer cells experiencing hypoxic stress employ epithelial-mesenchymal transition (EMT) to undergo metastasis through rewiring of the chromatin landscape, epigenetics and importantly alternative splicing. However, how hypoxia influences expression and genome-wide redistribution of CTCF is still not known. Here, we performed CTCF-ChIP-seq and CUT&RUN assay to analyze differential occupancy of CTCF in normoxic and hypoxic breast cancer cell line.
Read the full summary ↓
We discovered that hypoxia-induced gain of CTCF occupancy across the genome regulates EMT in hypoxic cells. Specifically, we did 4C-seq experiments on COL5A1 (EMT associated gene) gene loci and showed that CTCF-mediated promoter-exon upstream looping regulates epigenetic mark mainly DNA demethylation at distal alternatively spliced exon 64 and regulates CTCF-mediated RNA Pol II pausing at COL5A1exon64A that decides the outcome of splicing to favor EMT under hypoxia. Overall, we uncover that hypoxia-induced differential CTCF occupancy across the genome is associated with gene expression and alternative splicing events related to cancer progression, similarly to the proposed model.
Published in
Hypoxia-induced CTCF mediates alternative splicing via coupling chromatin looping and RNA Pol II pause to promote EMT in breast cancer
Kakani P, Dhamdhere SG, Pant D et al. · Cell reports 2025 · PMID 39913285 · doi:10.1016/j.celrep.2025.115267
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 GSE216843_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 PRJNA895479 and SRA study SRP405137. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly in duplicate
ChIP_seq_MCF7_N_CTCF ×2 ChIP_seq_MCF7_H_CTCF ×2 MCF7_shControl_N_COL5A1_promoter_4C ×2 MCF7_shControl_H_COL5A1_promoter_4C ×2 MCF7_shCTCF_H_COL5A1_promoter_4C ×2 Cut_and_Run_MCF7_N_CTCF ×2 Cut_and_Run_MCF7_H_CTCF ×2 ChIP_seq_MCF7_N_Input ×1 +3 more

Supports a between-group comparison across 14 samples.

How we read this: 7 replicated groups read from 18 sample titles; they account for 14 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
More Breast cancer 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.