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Effect of hypoxanthine and pyroglutamic acid on downstream signaling mechanisms in vascular smooth muscle cells and endothelial cells.

GSE314942 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2026/04/20 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 36 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
36 samples: 12 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
Large-scale quantitative metabolomics and mass spectrometry imaging define the metabolic atlas in human acute type A aortic dissectionMed (New York, N.Y.) · 2026
Summary (written by the submitters)
To investigate the impact of hypoxanthine and pyroglutamic acid on downstream signaling mechanisms, we treated human aortic smooth muscle cells (HASMCs) and Human aortic endothelial cells (HAECs) with these metabolites and analyzed pathway activation.
Published in
Large-scale quantitative metabolomics and mass spectrometry imaging define the metabolic atlas in human acute type A aortic dissection
Zhou X, Lin P, Ma Y et al. · Med (New York, N.Y.) 2026 · PMID 41903544 · doi:10.1016/j.medj.2026.101078
This dataset
Open GSE314942 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 GSE314942_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 PRJNA1393398 and SRA study SRP657946. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41903544) ↗
Study design
12 conditions, mostly in triplicate
HAEC cell, Control day0 ×3 HASMC cell, Control day0 ×3 HAEC cell, AngII day1 ×3 HASMC cell, AngII day1 ×3 HAEC cell, hypoxanthine day1 ×3 HASMC cell, hypoxanthine day1 ×3 HAEC cell, BCX-1777 day1 ×3 HASMC cell, BCX-1777 day1 ×3 +4 more

Supports a between-group comparison across 36 samples.

How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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
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.