GEO series

Maternal high-fat diet aggravates the development of atherosclerosis in offspring via epigenetic memory (SMART-Seq)

GSE276351 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2025/01/22 Platform GPL24247

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.
Organism: Mus musculus (mouse)
Samples: 12 samples: 3 × CD_CD vs 3 × WD_CD vs 3 × CD_WD vs 3 × WD_WDGroups 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)

Maternal exposure to a western-type diet (WD) increases the susceptibility of adult offspring to atherosclerosis. Lining the inner layer of blood vessels, fetus endothelial cells (ECs) become dysfunctional and inflamed in response to risk factors from mother through maternal and fetal blood exchange. However, the mechanism by which maternal WD promotes vascular endothelial dysfunction and atherosclerosis in offspring after adulthood has not been fully clarified.

Read the full summary ↓

Here, we found that maternal WD exposure sensitized offspring to WD exposure in adulthood of Ldlr-/- mice, significantly increasing atherosclerotic lesions in the aorta and aortic roots, endowed inflammatory memory at the chromatin level and regulated chromatin dynamics by transcription factor AP-1 in mouse aortic ECs. Plasma 27-hydroxycholesterol (27-HC) was significantly increased in maternal blood and transferred into the offspring. Additionally, 27-HC played a crucial role in memory establishment and also acted as a secondary stimulator, amplifying the expression of inflammatory memory factors and enhancing the enrichment of AP-1/p300 and H3K27ac in the binding domain in human ECs. Inhibiting AP-1 binding to chromatin reduced the inflammatory response in human umbilical vein ECs from mother with maternal hypercholesterolemia and the occurrence and development of atherosclerosis in the offspring with maternal WD exposure. Our findings demonstrate that maternal WD aggravating EC dysfunction and atherosclerosis in offspring after adulthood acquires AP-1-associated epigenetic memory to increase chromatin accessibility of inflammatory genes.

This dataset

Open GSE276351 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 GSE276351_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 PRJNA1156763 and SRA study SRP530740. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

3 × CD_CD vs 3 × WD_CD vs 3 × CD_WD vs 3 × WD_WD

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

GSM8496876 CD_CD_1 CD_CD
GSM8496877 CD_CD_2 CD_CD
GSM8496878 CD_CD_3 CD_CD
GSM8496879 WD_CD_1 WD_CD
GSM8496880 WD_CD_2 WD_CD
GSM8496881 WD_CD_3 WD_CD
GSM8496882 CD_WD_1 CD_WD
GSM8496883 CD_WD_2 CD_WD
GSM8496884 CD_WD_3 CD_WD
GSM8496885 WD_WD_1 WD_WD
GSM8496886 WD_WD_2 WD_WD
GSM8496887 WD_WD_3 WD_WD

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