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Effects of adenovirus mediated GLA expression on gene expression of hiPSC-derived ventricular cardiomyocytes from control and Fabri Disease Lines

GSE327944 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/05/15 Platform GPL24676
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: 12 samples, each with a distinct title — no replicated groupsGroups 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
A new approach methodology for studying intrinsic ventricular arrhythmias in Fabry diseaseFrontiers in cardiovascular medicine · 2026
Summary (written by the submitters)
Fabry disease is an X-linked lysosomal storage disorder caused by loss-of-function mutations in GLA, resulting in α-galactosidase A deficiency and glycosphingolipid accumulation that contributes to systemic disease including kidney disease, stroke, and cardiac arrhythmias. To model Fabry-associated arrhythmogenesis, we generated hiPSC-derived ventricular cardiomyocytes (hiPSC-VCMs) from patient and control iPSCs and compared electrophysiology, calcium transients, and gene expression profiles between groups.
Read the full summary ↓
Fabry hiPSC-VCMs displayed intrinsic chaotic arrhythmias and abnormal calcium handling along with dysregulated transcription of genes encoding ion channels. To assess the impact of restoring enzyme activity, both control and Fabry hiPSC-VCMs were infected with an adenovirus to drive GLA overexpression, and GLA restoration did not prevent complex arrhythmias or normalize ion-channel gene expression.
Published in
A new approach methodology for studying intrinsic ventricular arrhythmias in Fabry disease
Monteiro da Rocha A, Shu L, Saraithong P et al. · Frontiers in cardiovascular medicine 2026 · PMID 42111134 · doi:10.3389/fcvm.2026.1769383
This dataset
Open GSE327944 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 GSE327944_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 PRJNA1453253 and SRA study SRP691682. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42111134) ↗
Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 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
Datasets on a similar topic

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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.