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Brain endothelial cells with inflammatory signature in CCM disease in hypoxia and normoxia conditions

GSE261224 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/03/03 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 18 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
Mus musculus (mouse)
Samples
18 samples: 5 × Normoxia_KO vs 5 × Hypoxia_KO vs 4 × Normoxia_Flox vs 4 × Hypoxia_FloxGroups 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
Mild Hypoxia Accelerates Cerebral Cavernous Malformation Disease Through CX3CR1-CX3CL1 SignalingArteriosclerosis, thrombosis, and vascular biology · 2024
Summary (written by the submitters)
The CCM endothelium is hypersensitive to angiogenesis and can induce a hypoxic program associated with changes in angiogenesis, inflammation, and endothelial-cell metabolism under normoxic conditions. It has been suggested that environmental, genetic, or biological factors act as disease modifiers. However, the underlying mechanisms are not entirely understood.
Read the full summary ↓
To assess whether mild hypoxia accelerates CCM, we employed a CCM mouse model (Pdcd10BECKO;Aldh1l1-EGFP/Rpl10a). Brain endothelial cells (BECs) were isolated from Slco1c1-iCreERT2;Pdcd10fl/fl;Aldh1l1-EGFP/Rpl10a mice to as previously described. BECs mRNAs were from isolated microvesels from cerebral tissue of mice age P50 exposed to hypoxia or normoxia conditions.
Published in
Mild Hypoxia Accelerates Cerebral Cavernous Malformation Disease Through CX3CR1-CX3CL1 Signaling
Frias-Anaya E, Gallego-Gutierrez H, Gongol B et al. · Arteriosclerosis, thrombosis, and vascular biology 2024 · PMID 38660801 · doi:10.1161/ATVBAHA.123.320367
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 GSE261224_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 PRJNA1085778 and SRA study SRP494213. Searching any of these in the dataset finder brings you back here.

Study design
5 × Normoxia_KO vs 5 × Hypoxia_KO vs 4 × Normoxia_Flox vs 4 × Hypoxia_Flox

Supports a between-group comparison across 18 samples.

How we read this: 4 replicated groups read from 18 sample titles; they account for 18 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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