← BioTransfer GEO Dataset Finder
GEO series

Epigenetic and 3D Genome Changes Drive Primary Trastuzumab Resistance in HER2+ Breast Cancer

GSE297715 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 20 samples Submitted 2025/06/01 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 20 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
20 samples: 10 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.
Summary (written by the submitters)
Primary trastuzumab resistance poses a significant challenge in the treatment of HER2-positive breast cancer. Despite various proposed mechanisms and responses to address this resistance, current treatments remain less effective, highlighting the need for new targets and insights.
Read the full summary ↓
Our research, which integrates epigenomic and 3D genomic architectural data, suggests that changes in promoter modifications, specifically H3K4me3 and H3K27me3, along with differential active enhancers and promoter-enhancer interactions, may contribute to differential gene expression in trastuzumab-resistant versus sensitive cells. Notably, we identified SGK1, which lies downstream of both the PI3K-AKT and mTOR signaling pathways, exhibits overexpression associated with increased H3K4me3 signals at its promoter and enhanced promoter-enhancer interactions in trastuzumab-resistance cells. The overexpression of SGK1 supports cell survival and stimulates proliferation, making it a potential critical factor driving primary trastuzumab resistance. These discoveries provide new insights into the mechanisms underlying primary trastuzumab resistance in HER2-positive breast cancer, which may pave the way for developing more effective diagnostic and treatment strategies in the future.
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 GSE297715_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 PRJNA1265766 and SRA study SRP586721. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly in duplicate
SKBR3 H3K27me3 ×2 SKBR3 H3K4me3 ×2 SKBR3 H3K27ac ×2 SKBR3 CTCF ×2 SKBR3 RNApolII ×2 JIMT1 H3K27me3 ×2 JIMT1 H3K4me3 ×2 JIMT1 H3K27ac ×2 +2 more

Supports a between-group comparison across 20 samples.

How we read this: 10 replicated groups read from 20 sample titles; they account for 20 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.