← BioTransfer GEO Dataset Finder
GEO series

Reactive astrocytes with inflammatory signature in CCM disease in hypoxia and normoxia conditions

GSE236162 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2024/09/23 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 21 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
21 samples: 7 × KOHypoxia vs 5 × FloxHypoxia vs 4 × KONormoxia vs 4 × FloxNormoxiaGroups 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.
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. However, the role of active drivers of angiogenesis as CCM disease modifiers in human disease remains unclear.
Read the full summary ↓
To assess whether CCM reactive astrocytes with neuroinflammatory capacity respond to hypoxia-induced CCM exacerbation, we employed the astrocyte-specific (Aldh1l1-EGFP/Rpl10a) Translational Ribosome Affinity Purification (TRAP) system in combination with a CCM mouse model (Pdcd10BECKO;Aldh1l1-EGFP/Rpl10a). TRAP protocol was performed using Slco1c1-iCreERT2;Pdcd10fl/fl;Aldh1l1-EGFP/Rpl10a mice to isolate ribosomes from astrocytes as previously described. Astrocyte-TRAP mRNAs were from cerebral tissue of mice age P50 exposed to hypoxia or normoxia conditions.
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 GSE236162_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 PRJNA989156 and SRA study SRP446583. Searching any of these in the dataset finder brings you back here.

Study design
7 × KOHypoxia vs 5 × FloxHypoxia vs 4 × KONormoxia vs 4 × FloxNormoxia

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 21 sample titles; they account for 20 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.