← BioTransfer GEO Dataset Finder
GEO series

Panax notoginseng -derived extracellular vesicles alleviate doxorubicin-induced cardiotoxicity by suppressing p53 activation

GSE330352 Mus musculus (mouse) RNA-seq (gene expression) 9 samples Submitted 2026/05/08 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 9 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
Mus musculus (mouse)
Samples
9 samples: 9 × RNA-seq of heartGroups 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
Panax notoginseng-derived extracellular vesicles alleviate doxorubicin-induced cardiotoxicity by suppressing p53 activationPhytomedicine : international journal of phytotherapy and phytopharmacology · 2026
Summary (written by the submitters)
Doxorubicin (Dox) is a highly effective chemotherapeutic agent, but its clinical use is limited by cumulative cardiotoxicity. Panax notoginseng, a traditional medicinal herb, exhibits well-documented cardioprotective properties; however, the therapeutic application of its bioactive constituents is constrained by poor bioavailability and potential toxicity.
Read the full summary ↓
Plant-derived extracellular vesicles (EVs) have emerged as natural nanocarriers facilitating cross-kingdom delivery of bioactive metabolites. In this study, we investigated whether P. notoginseng-derived EVs (PEVs) could mitigate Dox-induced cardiotoxicity (DIC) and explored the underlying mechanisms.
Published in
Panax notoginseng-derived extracellular vesicles alleviate doxorubicin-induced cardiotoxicity by suppressing p53 activation
Jiang M, Wang T, Xin G et al. · Phytomedicine : international journal of phytotherapy and phytopharmacology 2026 · PMID 42090956 · doi:10.1016/j.phymed.2026.158228
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 GSE330352_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 PRJNA1463682 and SRA study SRP698655. Searching any of these in the dataset finder brings you back here.

Study design
9 × RNA-seq of heart

Supports a between-group comparison across 9 samples.

How we read this: 1 replicated groups read from 9 sample titles; they account for 9 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 mouse 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.