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Bulk RNAseq of ex vivo salt treated isolated human monocytes

GSE308365 Homo sapiens (human) Single-cell RNA-seq 22 samples Submitted 2025/09/26 Platform GPL16791
At a glance

Single-cell RNA-seq · human · 22 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
Homo sapiens (human)
Samples
22 samples: 22 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)
Salt sensitivity of blood pressure (SSBP) is associated with persistent immune activation after sodium normalization, suggesting immune “salt memory.” Prior work identified that sodium entry into antigen-presenting cells (APCs) via epithelial sodium channels triggers NLRP3 inflammasome activation through the formation of isolevuglandins (IsoLGs), highly reactive lipid aldehydes.
Read the full summary ↓
IsoLG scavenging with 2-hydroxybenzylamine (2-HOBA) reduces NLRP3 expression and attenuates salt-induced hypertension, implicating IsoLGs as upstream immune regulators. This study tested whether IsoLGs also act as epigenetic modifiers by covalently modifying histone H1, thereby altering chromatin accessibility at inflammatory loci such as NLRP3. PBMCs from 10 hypertensive adults classified as salt-sensitive (SS) or salt-resistant (SR) were collected at baseline, after salt loading, and after depletion. Integrated single-cell RNA-seq and ATAC-seq revealed that SS monocytes exhibited salt-induced enhancer activation and increased chromatin accessibility at the NLRP3 locus. IsoLG–protein adducts correlated with blood pressure changes and were most prominent in CD14⁺ monocytes. In murine APCs, high salt induced IsoLG adduction of histone H1, attenuated by 2-HOBA. Knockdown of H1F0 reduced high salt–induced NLRP3 expression, supporting a role for H1.0 in transcriptional regulation. These findings identify IsoLG modification of histone H1 as a potential mechanism linking extracellular sodium exposure to persistent chromatin remodeling and sustained inflammatory gene expression in SS individuals. IsoLG–histone adducts may represent novel therapeutic targets for immune-driven hypertension.
This dataset
Open GSE308365 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 GSE308365_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 PRJNA1330280 and SRA study SRP621276. Searching any of these in the dataset finder brings you back here.

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

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 22 sample titles: 22 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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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.