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Extracellular BRICK1 drives heart repair after myocardial infarction

GSE291736 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2025/11/11 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 15 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
15 samples: 5 conditions, mostly in triplicateGroups 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)
Tissue repair after myocardial infarction entails a vigorous angiogenic response that mitigates scarring and worsening of heart function and may represent a therapeutic target. Angiogenesis in the infarct wound is guided by incompletely defined myeloid cell–endothelial cell interactions. Here we identify the myeloid cell-expressed 75‑amino acid microprotein BRICK1 (short name: BRK1) as an indispensable driver of postinfarction angiogenesis.
Read the full summary ↓
As a subunit of the intracellular actin-regulatory WAVE complex, BRK1 was not previously known to function outside the cell. We show that BRK1 translocates to the extracellular space after myocardial infarction in mice and humans. We find that BRK1 is not actively secreted but released from dying monocytes and macrophages. Cre-loxP-mediated myeloid cell-selective genetic deletion of Brk1 or antibody neutralization of extracellular BRK1 impaired microvessel formation in the infarct border zone and resulted in severe postinfarction heart failure in mice. Treatment with recombinant BRK1, conversely, preserved heart function after myocardial infarction. Mechanistically, BRK1 induced an angiogenic phenotype in human cardiac endothelial cells by signaling via the small GTPase RAP1 and mitogen-activated protein kinases 1 and 3 to promote retinoblastoma protein hyperphosphorylation and E2F transcription factor activation. BRK1 thus emerges as an angiogenic growth factor linking myeloid cell death to ischemic tissue repair and potentially enabling a protein-based therapy for myocardial infarction.
This dataset
Open GSE291736 in finder → Find more human 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 GSE291736_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 PRJNA1235165 and SRA study SRP569856. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly in triplicate
8h-Kontrolle ×3 8h-BRK ×3 8h-PD ×3 8h-BRK+PD ×3 8h-VEGFA ×3

Supports a between-group comparison across 15 samples.

How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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

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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.