GEO series

Parasympathetic nerves in the kidney pelvis contribute to blood pressure regulation

GSE310417 Mus musculus (mouse) Single-cell RNA-seq 1 samples Submitted 2026/02/21 Platform GPL24247

At a glance

Single-cell RNA-seq · mouse · 1 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism: Mus musculus (mouse)
Samples: 1 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: Parasympathetic nerves in the kidney pelvis contribute to blood pressure regulationKidney international · 2026

Summary (written by the submitters)

The existence of parasympathetic innervation in the kidney has long been controversial. Recent anatomical studies have provided evidence supporting such innervation by demonstrating the presence of acetylcholine (ACh) metabolic enzymes and tracing a brain-kidney vagal axis. Although these findings confirm the anatomical pathway, the functional capacity of these nerves to release neurotransmitters remains unverified, and the physiological role of this pathway is still unknown.

Read the full summary ↓

We delineated the innervation of the renal pelvis by co-labeling sympathetic, parasympathetic, and sensory nerves. ACh receptors expression was assessed through single-cell RNA sequencin, quantitative reverse transcription polymerase chain reaction, and fluorescent in situ hybridization. The ACh release from the renal nerves was monitored via fiber photometry with a genetically encoded ACh sensor. Optogenetic activation was employed to investigate the functional effects of renal parasympathetic efferent and afferent pathways on blood pressure and heart rate. We identified multi-component innervation in the renal pelvis, including sympathetic, parasympathetic, and sensory nerves. Moreover, muscarinic ACh receptors were found to be expressed in this region. Neurogenic ACh release from renal nerves was also detected following transmural stimulation. Furthermore, optogenetic activation of the vagal brain–kidney afferent pathway resulted in a decrease in blood pressure. These results suggest that the renal pelvis receives dual autonomic innervation from both sympathetic and parasympathetic nerves, and the vagal renal afferents are involved in blood pressure regulation.

Published in

Parasympathetic nerves in the kidney pelvis contribute to blood pressure regulation

Zhao J, Hu L, Guo C et al. · Kidney international 2026 · PMID 41565024 · doi:10.1016/j.kint.2026.01.002

This dataset

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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 GSE310417_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: 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 PRJNA1365913 and SRA study SRP646645. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41565024) ↗

Samples in this study

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+ 1 more — browse all 1 samples with per-sample file links →

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