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RESTORATION OF NOX4 SIGNALLING REVERSES ENDOTHELIAL COLONY-FORMING CELL ANGIOGENIC DYSFUNCTION ASSOCIATED WITH EXPERIMENTAL AND CLINICAL DIABETES

GSE296585 Homo sapiens (human) RNA-seq (gene expression) 11 samples Submitted 2025/06/03 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 11 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
11 samples: 6 × CB-ECFC cells, Healthy vs 5 × CB-ECFC cells, DiabeticGroups 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
Restoration of NOX4 signalling reverses endothelial colony-forming cell angiogenic dysfunction associated with experimental and clinical diabetesStem cell research & therapy · 2025
Summary (written by the submitters)
Progenitor endothelial colony forming cells (ECFCs) are critical for vascular homeostasis and hold therapeutic potential for ischaemic cardiovascular disease (CVD). As angiogenic capacity and efficacy within diseased tissues is particularly impacted in diabetic patients, who show high incidence of ischaemic CVD, targeting of critical ECFC pathways in this setting represents an innovative focus towards enhancing intrinsic vasoreparative function.
Read the full summary ↓
We previously reported that NADPH oxidase 4 (NOX4)-derived reactive oxygen species promote cord blood-derived ECFC (CB-ECFC) pro-angiogenic response, whilst NOX4 overexpression (OE) enhances revascularisation capacity. Here, we aimed to investigate specific influence of NOX4-dependent signalling on CB-ECFC angiogenic dysfunction observed upon exposure to both experimental and clinical diabetes to define whether NOX4 may represent a viable therapeutic target in this context.
Published in
Restoration of NOX4 signalling reverses endothelial colony-forming cell angiogenic dysfunction associated with experimental and clinical diabetes
O'Neill KM, Edgar KS, Pun SH et al. · Stem cell research & therapy 2025 · PMID 40457435 · doi:10.1186/s13287-025-04393-4
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 GSE296585_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 PRJNA1260015 and SRA study SRP583665. Searching any of these in the dataset finder brings you back here.

Study design
6 × CB-ECFC cells, Healthy vs 5 × CB-ECFC cells, Diabetic

Supports a between-group comparison across 11 samples.

How we read this: 2 replicated groups read from 11 sample titles; they account for 11 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.