← BioTransfer GEO Dataset Finder
GEO series

Lack of cortistatin drives neuroimmune and vascular dysfunction in brain ischemia

GSE302342 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2026/06/17 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
Samples
14 samples: 5 × KO_Cort_MCAO vs 3 × KO_Cort_CL vs 3 × WT_Cort_CL vs 3 × WT_Cort_MCAOGroups 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
Lack of cortistatin drives neuroimmune and vascular dysfunction in brain ischemiaJournal of biomedical science · 2026
Summary (written by the submitters)
Ischemic stroke remains a leading cause of death and disability, with limited therapies addressing its pathophysiology. Neuroinflammation, blood–brain barrier disruption, and immune dysregulation critically contribute to both acute neuronal injury and chronic functional decline. Elucidating the endogenous factors that govern these processes and understanding the intricate interplay among them is essential for developing effective therapeutic strategies.
Read the full summary ↓
Cortistatin, a neuropeptide expressed in the nervous and immune systems, exhibits potent immunomodulatory actions, but its role in neuroinflammatory diseases remains unclear. In this study, we combined human and murine transcriptomic analyses with a preclinical stroke model in cortistatin-deficient mice to investigate the endogenous and therapeutic roles of cortistatin during the acute (48 h) and subacute (7 days) phases of ischemic stroke. We demonstrate for the first time that cortistatin deficiency amplified ischemia-induced transcriptional programs, heightening neuroinflammation and glial/neurovascular dysfunction, and worsening neurological outcomes. Interestingly, cortistatin deficiency accelerated aging-associated pathological features, underscoring its essential role in neuroimmune and cerebrovascular homeostasis. Conversely, cortistatin administration improved neuronal survival, mitigated immune dysfunction, and preserved myelin and vascular integrity during both the acute and subacute stages. These findings provide the first evidence identifying cortistatin as an endogenous neuroimmune regulator in ischemic stroke and a promising multimodal therapeutic agent for improving acute and long-term outcomes.
Published in
Lack of cortistatin drives neuroimmune and vascular dysfunction in brain ischemia
Castillo-González J, Vargas-Rodríguez P, Serrano-Martínez I et al. · Journal of biomedical science 2026 · PMID 42321803 · doi:10.1186/s12929-026-01271-w
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 GSE302342_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 PRJNA1290217 and SRA study SRP600080. Searching any of these in the dataset finder brings you back here.

Study design
5 × KO_Cort_MCAO vs 3 × KO_Cort_CL vs 3 × WT_Cort_CL vs 3 × WT_Cort_MCAO

Supports a between-group comparison across 14 samples.

How we read this: 4 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.

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.