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A single-cell RNA sequencing dataset of kidney and peripheral blood mononuclear cells from Dahl salt-sensitive rats under high and low salt diets

GSE345203 Rattus norvegicus (rat) Single-cell RNA-seq 8 samples Submitted 2026/08/31 Platform GPL25947
At a glance

Single-cell RNA-seq · rat · 8 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Rattus norvegicus (rat)
Samples
8 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.
Summary (written by the submitters)
Hypertension is a major global health burden, with high dietary sodium intake being a key environmental risk factor. The Dahl salt-sensitive (SS) rat is a well-established model for studying salt-sensitive hypertension and renal damage. To facilitate research into the cellular mechanisms of salt-sensitivity, we generated a single-cell RNA sequencing (scRNA-seq) dataset from the kidney and peripheral blood mononuclear cells (PBMCs) of Dahl SS rats.
Read the full summary ↓
Male rats were fed either a high-salt (4% NaCl) or low-salt (0.4% NaCl) diet for three weeks. We profiled high-quality cells from kidney tissue and from PBMCs. This dataset captures the cellular diversity of these tissues, including immune, epithelial, and endothelial cell populations, under different dietary conditions. This resource provides a foundation for investigating how high sodium intake influences cellular composition, gene expression, and cell-cell communication at single-cell resolution. As the Dahl SS rat remains one of the most widely used models for hypertension research, this dataset offers a valuable reference for exploring cell-type-specific responses to salt and generating hypotheses for future mechanistic studies.
This dataset
Open GSE345203 in finder → Find more rat 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 GSE345203_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 PRJNA1516669 and SRA study SRP729360. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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+ 8 more — browse all 8 samples with per-sample file links →

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