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Macrophage EHD1 promotes inflammation and stabilizes sortilin to accelerate atherosclerosis [RNA-Seq]

GSE319027 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2026/04/28 Platform GPL28330
At a glance

Single-cell RNA-seq · mouse · 12 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
12 samples: 3 × M0-siCON vs 3 × M0-siEHD1 vs 3 × M1-siCON vs 3 × M1-siEHD1Groups 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.
Paper
Macrophage EHD1 Promotes Inflammation and Stabilizes Sortilin to Accelerate AtherosclerosisCirculation research · 2026
Summary (written by the submitters)
Macrophages are the key players in the pathogenesis of atherosclerosis. Here we explored the role of the endocytic regulator EHD1 in immune responses in macrophages and determined its contribution to atherosclerosis progression. EHD1 expression profile in mouse and human plaques were determined by single cell-RNA sequencing (sc-RNA-seq) and immunofluorescence staining.
Read the full summary ↓
Bone marrow transplantation (BMT) by transplanting bone marrow cells from Ehd1−/− or littermate wild-type mice to irradiated Ldlr−/− mice was performed to determine the effect of EHD1 deletion on atherosclerosis progression. In vitro mechanistic studies including inflammation signaling and endocytosis assays were performed in bone marrow-derived macrophages. EHD1 expression in macrophages is enhanced as atherosclerosis progresses in both mice and humans. Sc-RNA seq of aortic CD45+ cells demonstrated that EHD1 deletion attenuates pro-inflammatory responses and cell-cell interactions. Mechanistic studies revealed that EHD1 accelerates the endocytic recycling of TNFR2 and activates NF-kB, leading to increased expression of inflammatory cytokines. Moreover, EHD1 interacts with retromer and stabilizes sortilin, a retrograde cargo of retromer and a risk factor for atherosclerosis. Our study reveals novel roles for EHD1-mediated membrane trafficking in macrophage function and paves the way to innovative therapeutic strategies aiming at addressing dysregulated membrane trafficking in atherosclerosis.
Published in
Macrophage EHD1 Promotes Inflammation and Stabilizes Sortilin to Accelerate Atherosclerosis
Ma F, Liu Y, Xu Y et al. · Circulation research 2026 · PMID 42165151 · doi:10.1161/CIRCRESAHA.125.327751
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 GSE319027_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 PRJNA1421986 and SRA study SRP676098. Searching any of these in the dataset finder brings you back here.

Study design
3 × M0-siCON vs 3 × M0-siEHD1 vs 3 × M1-siCON vs 3 × M1-siEHD1

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. 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
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