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A novel in vitro intermittent hypoxia-model reproduces the vascular endothelial transcriptional signatures of obstructive sleep apnea

GSE348549 Homo sapiens (human) RNA-seq (gene expression) 6 samples Submitted 2026/09/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 6 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
6 samples
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.
Summary (written by the submitters)
Background: Vascular endothelial dysfunction (VED) is an early consequence of obstructive sleep apnea (OSA) and a precursor to hypertension and other cardiovascular diseases. Although the role of intermittent hypoxia (IH) in initiating endothelial injury is established, underlying molecular mechanisms remain unknown. This study aims to optimize an in vitro model that accurately simulates OSA effects on transcriptional endothelial alterations observed in OSA patients.
Read the full summary ↓
Methods: A computationally modeled gas-controlled chamber was adapted to recreate intermittent hypoxia (IH) conditions experienced by the microcirculatory endothelium in OSA. Human microvascular endothelial cells (HMECs) were exposed to a 6-hour of IH (24 cycles/hour) with each cycle including 125 seconds of desaturation followed by 25 seconds of reoxygenation. Targeted gene expression, protein localization, and global transcriptomic changes were analyzed. Results: HMECs exposed to IH protocol showed no change inNFKB1 expression but significant upregulation of key genes associated with vascular pathology, including EDN1 (1.8-fold), NOX4 (1.7-fold), IL-8 (3.2-fold), and IL-1B (1.8-fold), recapitulating expression patterns observed in endothelial tissue of OSA patients. RNA-sequencing identified 904 differentially expressed genes, and Gene Ontology enrichment analysis showed significant activation of biological processes associated with hypoxia, angiogenesis, NF-KappaB and TGF-Beta signaling, endothelial remodeling, and suppression of mitocondrial function. Hallmark Gene Set Enrichment Analysis confirmed robust enrichment of TNF-alpha and TGF-Beta signaling and inflammatory response. Conclusion: This study, in addition to introducing a novel IH model, provides new mechanistic insight into endothelial pathways altered during acute IH and identifies biological processes that may contribute to the development of OSA-associated cardiovascular disease.
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 GSE348549_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 PRJNA1534734 and SRA study SRP739939. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 6 more — browse all 6 samples with per-sample file links →

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