Endothelial cytochrome P450 -derived cholesterol limits angiogenesis
RNA-seq (gene expression) · human · 14 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
- 14 samples: 7 × WT vs 7 × ko-CRC9-POGroups 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
- Endothelial cytochrome P450 -derived cholesterol limits angiogenesisRedox biology · 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 GSE326111_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 PRJNA1443373 and SRA study SRP687004. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 2 replicated groups read from 14 sample titles; they account for 14 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.
- GSM9623089 WT_1 WT
- GSM9623090 WT_2 WT
- GSM9623091 WT_3 WT
- GSM9623092 WT_4 WT
- GSM9623093 ko-CRC9-POR_1 ko-CRC9-PO
- GSM9623094 ko-CRC9-POR_2 ko-CRC9-PO
- GSM9623095 ko-CRC9-POR_3 ko-CRC9-PO
- GSM9623096 ko-CRC9-POR_4 ko-CRC9-PO
- GSM9623097 WT_1 WT
- GSM9623098 WT_2 WT
- GSM9623099 WT_3 WT
- GSM9623100 ko-CRC9-POR_1 ko-CRC9-PO
- GSM9623101 ko-CRC9-POR_2 ko-CRC9-PO
- GSM9623102 ko-CRC9-POR_3 ko-CRC9-PO
- GSE267498 Generation of hiPSC-derived brain microvascular endothelial cells using a combination of directed differentiation and transcriptional reprogramming strategies 37 samples shares endothelial, derived
- GSE217649 Bulk RNA sequencing for gene expression profileing of primary liver sinusoidal endothelial cells and iPSC-derived hepatic endoderm, septum mesenchymal cells, endothelial cells, and liver bud organoids 26 samples shares endothelial, derived
- GSE237429 Single-cell transcriptomics reveals distinct molecular alterations of human renal cell carcinoma-derived endothelial cells that are stable in ex vivo primary culture 19 samples shares endothelial, derived
- GSE318549 NAD-dependent redox control enables endothelial quiescence and vascular stabilization during angiogenesis 15 samples shares angiogenesis, endothelial
- GSE330092 3D organoids containing endothelial and neural cells generation by serial inductions of differentiation on human iPSC-derived embryoid bodies 12 samples shares endothelial, derived
- GSE311038 Multi-omics integrative approach of senescent endothelial cells and derived extracellular vesicles in a replicative senescence model [RNA-seq] 12 samples shares endothelial, derived
- GSE285203 Transcriptome analyses of human corneal endothelial cell lines derived from patients with Fuchs Endothelial Corneal Dystrophy 11 samples shares endothelial, derived
- GSE237427 Single-cell transcriptomics reveals distinct molecular alterations of human renal cell carcinoma-derived endothelial cells that are stable in ex vivo primary culture [RNA-Seq] 11 samples shares endothelial, derived
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.