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Effects on gene expression of lapatinib and/or GSK126 treatment in SKBR3 cells

GSE304195 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/12/04 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 12 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)
Samples
12 samples: 3 × SKBR3 DMSO vs 3 × SKBR3 Lapatinib vs 3 × SKBR3 GSK126 vs 3 × SKBR3 GSK126 + LapatinibGroups 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
EZH2 Inhibitors Sensitize Breast Cancer to HER2 Kinase Inhibitors through Cooperative Effects on YAP and Proapoptotic RegulatorsCancer research · 2026
Summary (written by the submitters)
SKBR3 cells were treated with DMSO (as control), lapatinib, GSK126 or lapatinib + GSK126 for 24 h to identify genes and pathways differentially upregulated/downregulated by these treatments.
Published in
EZH2 Inhibitors Sensitize Breast Cancer to HER2 Kinase Inhibitors through Cooperative Effects on YAP and Proapoptotic Regulators
Perurena N, Watanabe M, Schade AE et al. · Cancer research 2026 · PMID 41490884 · doi:10.1158/0008-5472.CAN-24-3113
This dataset
Open GSE304195 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE304195_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1299364 and SRA study SRP605562. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41490884) ↗
Study design
3 × SKBR3 DMSO vs 3 × SKBR3 Lapatinib vs 3 × SKBR3 GSK126 vs 3 × SKBR3 GSK126 + Lapatinib

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
Datasets on a similar topic

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