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Oxygen-generating microparticles enhance viability and functionality of human pluripotent stem cell-derived cardiomyocytes

GSE326195 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2026/04/01 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 14 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
14 samples: 5 conditions, mostly in triplicateGroups 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
Oxygen-generating Microparticles Enhance Viability and Functionality of Human Pluripotent Stem Cell-derived Cardiomyocytes for Myocardial Infarction TherapyStem cell reviews and reports · 2026
Summary (written by the submitters)
Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) represent a promising therapy for myocardial infarction (MI), but their survival is severely limited by the hypoxic infarct environment. The optimal oxygen levels required to maintain the viability and functionality of hiPSC-CMs remain poorly defined. This study aimed to develop a controlled oxygen-delivery system to support engineered heart tissue (EHT) for cardiac regeneration.
Read the full summary ↓
Oxygen-generating particles (OGPs) were engineered using peroxide (sodium percarbonate) and antioxidant (β-carotene) components encapsulated in PLGA microparticles. The effects of OGPs on hiPSC-CMs were evaluated through oxidative stress assays, cell viability analysis, and contractility measurements. RNA-seq was performed to investigate gene expression changes in hiPSC-CMs in response to OGPs and hypoxic stress. Transcriptomic analysis revealed that genes associated with CM maturation and contractile function were upregulated following OGP pretreatment. RNA-seq further demonstrated activation of oxygen-responsive metabolic pathways that facilitated cellular adaptation to hypoxic stress. OGP-mediated oxygen delivery offers a promising strategy for oxidative preconditioning and significantly improves the regenerative efficacy of hiPSC-CM-based cardiac therapies.
Published in
Oxygen-generating Microparticles Enhance Viability and Functionality of Human Pluripotent Stem Cell-derived Cardiomyocytes for Myocardial Infarction Therapy
He X, Dutta S, Desai D et al. · Stem cell reviews and reports 2026 · PMID 42201611 · doi:10.1007/s12015-026-11163-z
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 GSE326195_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 PRJNA1444122 and SRA study SRP687229. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in triplicate
hiPSC-CMs, control vehicles, ×3 hiPSC-CMs, OGPs, ×3 hiPSC-CMs, control vehicles, hypoxia, ×3 hiPSC-CMs, OGPs, hypoxia, ×3 Undifferentiated hiPSCs ×2

Supports a between-group comparison across 14 samples.

How we read this: 5 replicated groups read from 14 sample titles; they account for 14 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
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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.