← BioTransfer GEO Dataset Finder
GEO series

Age- and sex-specific modulation of human cardiac electrophysiology by doxorubicin.

GSE307214 Homo sapiens (human) RNA-seq (gene expression) 32 samples Submitted 2026/03/13 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 32 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
32 samples: 8 conditions, mostly with about 4 replicates eachGroups 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
Age- and sex-specific modulation of human cardiac electrophysiology by doxorubicinThe Journal of physiology · 2026
Summary (written by the submitters)
Background: Acute doxorubicin (DOX)-induced cardiotoxicity leads to electrophysiological changes, including QT prolongation, reduced QRS voltages, and T wave abnormalities. We previously demonstrated in mice that the effects of DOX on cardiac electrophysiology are sex-dependent. Objectives: Determine sex- and age-specific cardiotoxic effects of DOX on human cardiac electrophysiology and whether targeting p38 MAPKs could be cardioprotective in human hearts.
Read the full summary ↓
Methods: Human cardiac slices were cultured for 24 hours with DOX (0-50 M). Slices were optically mapped to measure action potential duration (APD80) and transverse conduction velocity (CVT). Tissues were preserved for RNA sequencing. In separate slices, p38 MAPK inhibitors SB203580 or Compound 62, were applied alongside DOX. Results: DOX induced dose-dependent APD80 prolongation in young female and old hearts of both sexes. Phase 3 APD80 prolongation was associated with increased Cacna1c expression in young females. DOX also slowed CVT in young males and females, as well as in old males, despite increased Scn5a gene expression in young hearts of both sexes and increased Gja1 in young females. Furthermore, inhibiting p38 MAPKs with SB203580 did not prevent DOX-induced APD80 prolongation and CVT slowing, while pan-p38 MAPK inhibitor Compound 62 attenuated these effects in male and female hearts, suggesting a role for p38 and/or p38 MAPKs in mediating DOX cardiotoxicity in human hearts. Conclusions: Acute DOX-induced electrophysiological cardiotoxicity is sex- and age-dependent. This study introduces novel patient-specific diagnostic markers for detecting acute DOX-induced cardiotoxicity. Additionally, targeting p38γ and p38δ MAPKs in human hearts could offer a new cardioprotective therapy during DOX chemotherapy.
Published in
Age- and sex-specific modulation of human cardiac electrophysiology by doxorubicin
George SA, Mills AV, O'Neill E et al. · The Journal of physiology 2026 · PMID 41762220 · doi:10.1113/JP290705
This dataset
Open GSE307214 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 GSE307214_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 PRJNA1314773 and SRA study SRP616971. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41762220) ↗
Study design
8 conditions, mostly with about 4 replicates each
FOC ×4 FOD ×4 FYC ×4 FYD ×4 MOC ×4 MOD ×4 MYC ×4 MYD ×4

Supports a between-group comparison across 32 samples.

How we read this: 8 replicated groups read from 32 sample titles; they account for 32 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

Search all human RNA-seq 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.