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Myeloid dickkopf-1 fuels neurovascular and neuroimmune alterations in ischemic stroke

GSE237227 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/04/29 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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)
Neurovascular impairments and neuroimmune deregulation contribute to injury progression after ischemic stroke. Dickkopf-1 (DKK1) elevated levels correlates with poor stroke outcomes. DKK1 antagonizes the canonical Wnt pathway that plays a critical role in regulating neurovascular and neuroimmune functions. Herein, we report that DKK1 expression in the normal adult brain is absent, but is de novo expressed at the lesion site after experimental ischemic stroke.
Read the full summary ↓
Using genetic tools to conditionally induce DKK1 expression in a tissue-specific manner, we reveal that its early induction aggravates neurological deficits and injury severity after stroke, associated with altered neuronal and vascular functions. DKK1 post-stroke induction hinders lesion containment by disorganizing the astroglial scar, leading to a chronic neuroinflammation and increased anxiety-like behaviors. Using chimeric mice, we unravel that DKK1 is released by bone marrow-derived cells (BMDCs) expressing myeloid markers that infiltrate the lesion site. DKK1 restricted induction in BMDCs is sufficient to mediate astroglial scar disorganization. Notably, neutralization of DKK1 limits injury progression and improves neurological recovery after stroke. Our findings indicate that BMDCs-derived DKK1 promotes injury progression after stroke and suggest that neutralizing its biological activity represent a promising therapeutic avenue for ischemic stroke.
This dataset
Open GSE237227 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE237227_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA994420 and SRA study SRP449280. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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 →

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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.