NAD-dependent redox control enables endothelial quiescence and vascular stabilization during angiogenesis
RNA-seq (gene expression) · human · 15 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
- 15 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
- NAD-dependent redox control enables endothelial quiescence and vascular stabilization during angiogenesisCell metabolism · 2026
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE318549_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1419213 and SRA study SRP674920. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.
- GSM9497445 CTL-D2-01 CTL-D2
- GSM9497446 CTL-D2-02 CTL-D2
- GSM9497447 CTL-D2-03 CTL-D2
- GSM9497448 FK-D2-01 FK-D2
- GSM9497449 FK-D2-02 FK-D2
- GSM9497450 FK-D2-03 FK-D2
- GSM9497451 CTL-D5-01 CTL-D5
- GSM9497452 CTL-D5-04 CTL-D5
- GSM9497453 CTL-D5-05 CTL-D5
- GSM9497454 FK-D5-01 FK-D5
- GSM9497455 FK-D5-03 FK-D5
- GSM9497456 FK-D5-04 FK-D5
- GSM9497457 FK-NMN-D5-04 FK-NMN-D5
- GSM9497458 FK-NMN-D5-05 FK-NMN-D5
- GSM9497459 FK-NMN-D5-06 FK-NMN-D5
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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.