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Platelets induce endothelial cell mitochondrial dysfunction in myocardial infarction

GSE278026 Homo sapiens (human) RNA-seq (gene expression) 52 samples Submitted 2025/08/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 52 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
52 samples: 48 distinct titles, 2 of them repeatedGroups 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
Platelets induce endothelial cell mitochondrial dysfunction in myocardial infarctionScience advances · 2025
Summary (written by the submitters)
Coronary endothelial dysfunction playsa key role in the pathogenesis of cardiovascular events. In the setting of myocardial infarction (MI), activatedplatelets release prothrombotic and proinflammatory factors, contributing to vascular injury and dysfunction.However, the effect of platelets on coronary endothelial function during MI is not fully understood. We investigated the effect of platelets from patients with MI on cultured coronary endothelial cells in vitro.
Published in
Platelets induce endothelial cell mitochondrial dysfunction in myocardial infarction
Sun H, Schlamp F, Muller M et al. · Science advances 2025 · PMID 41237248 · doi:10.1126/sciadv.adx0268
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 GSE278026_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 PRJNA1165249 and SRA study SRP534751. Searching any of these in the dataset finder brings you back here.

Study design
48 distinct titles, 2 of them repeated
PBS ×4 CCL3 100 ×2

How we read this: Read from 52 sample titles: 48 distinct titles with little repetition. 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

+ 12 more — browse all 52 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.