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Formylpeptide Receptor Activation Attenuates Renovascular Remodeling in Neurogenic Hypertension (Kidney)

GSE333587 Mus musculus (mouse) RNA-seq (gene expression) 19 samples Submitted 2026/07/07 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 19 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
19 samples: 19 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)
Inflammation and sympathetic overactivity contribute to end-organ injury associated with hypertension. We previously demonstrated that targeting formylpeptide receptors (FPRs), which regulate and resolve inflammation, prevents cardiovascular damage in preclinical hypertension. Here, we investigated whether the FPR agonist Cmpd17b can reverse renovascular remodeling in established essential hypertension.
Read the full summary ↓
Cmpd17b selectively reduced blood pressure in BPH/2J mice and improved aortic distensibility without altering cardiac function. Cmpd17b reduced collagen deposition across organs, most prominently in the kidney. RNA sequencing revealed kidney-specific upregulation of Serpina1e and Igfbp2, normalized by Cmpd17b. These findings identify FPR agonism as a promising therapeutic strategy for lowering blood pressure and reversing renovascular fibrosis.
This dataset
Open GSE333587 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 GSE333587_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 PRJNA1471624 and SRA study SRP704444. Searching any of these in the dataset finder brings you back here.

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

Supports a case/control comparison: 10 samples read as cases, 9 as controls.

How we read this: Read from 19 sample titles: 19 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

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