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Macrophages preserve endothelial cell specialization in the adrenal gland to modulate aldosterone secretion and blood pressure (scRNA-Seq)

GSE245128 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2024/06/24 Platform GPL19057
At a glance

Single-cell RNA-seq · mouse · 2 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
2 samples
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
Macrophages preserve endothelial cell specialization in the adrenal gland to modulate aldosterone secretion and blood pressureCell reports · 2024
Summary (written by the submitters)
The adrenal cortex is characterized by a distinct architecture as well as a high density of specialized sinusoidal blood vessels. The preservation of this particular endothelial cell phenotype is likely vital for proper adrenal gland function. The aldosterone-producing zona glomerulosa harbors macrophages in close association with sinusoidal capillaries.
Read the full summary ↓
However, the function of this macrophage-endothelial cell-juxtaposition in steady-state conditions is unknown. We show that macrophages preserve capillary specialization in the adrenal gland and modulate aldosterone secretion. By combining macrophage-specific deletion of the angiogenic cytokine Vascular Endothelial Growth Factor A (VEGF-A), single-cell transcriptomics and functional phenotyping, we provide evidence that loss of VEGF-A in myeloid cells, including adrenal gland macrophages depletes a specialized subset of PLVAP+ fenestrated endothelial cells in the zona glomerulosa of mice, along with increased deposition of basement membrane collagen IV and in
Published in
Macrophages preserve endothelial cell specialization in the adrenal gland to modulate aldosterone secretion and blood pressure
Fan Z, Karakone M, Nagarajan S et al. · Cell reports 2024 · PMID 38941187 · doi:10.1016/j.celrep.2024.114395
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 GSE245128_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1026985 and SRA study SRP465909. Searching any of these in the dataset finder brings you back here.

Samples in this study

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