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Effect of HIPK3 depletion in tamoxifen-resistant EGFR-overexpressing MCF7 breast cancer cells

GSE267157 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2025/10/31 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 18 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)
Topic
Breast cancerThis series is part of our curated briefing on it.
Samples
18 samples
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)
Overexpression and activation of EGFR in breast cancer can cause resistance to antiestrogen treatmen. Using high-throughput screening, we have identified HIPK3 as a mediator of tamoxifen resistance in MCF7 breast cancer cells. HIPK3 depletion re-sensitized cells to 4-hydroxytamoxifen under EGF-stimulated conditions. In this study, we investigated the transcriptomic responses to HIPK3 depletion, together with EGF stimulation and treatment with estradiol and 4-hydroxytamoxifen.
Read the full summary ↓
RNA-sequencing demonstrated that depletion of HIPK3 caused increased expression of genes involved in mitotic signaling, oxidative damage, endoplasmatic reticulum stress and apoptosis in EGF, estradiol and tamoxifen treated MCF7 cells.
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 GSE267157_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 PRJNA1109872 and SRA study SRP506869. Searching any of these in the dataset finder brings you back here.

Samples in this study

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