← BioTransfer GEO Dataset Finder
GEO series

Alternate high fat diet aggravates atherosclerosis through an IL1B- 2 dependent reprogramming of neutrophil progenitors

GSE254105 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/04/23 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 10 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
10 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)
Systemic immune responses induced by chronic hypercholesterolemia contribute to the initiation, progression and complications of atherosclerosis. However, it is common for individuals to change dietary habits over time. The consequences of an alternating high fat diet and the associated variations in plasma cholesterol levels on atherosclerosis are unknown.
Read the full summary ↓
To address this relevant issue, we developed a novel protocol in atherosclerosis-prone mice that allowed us to compare the effects of alternate versus continuous high fat diet (HFD) on atherosclerosis, while keeping the overall period of exposure to HFD similar between groups. We showed that an alternate HFD lead to accelerated atherosclerosis in Ldlr-/- and Apoe 55 -/- mice compared to continuous HFD. This pro-atherogenic effect of alternate HFD was also observed in Apoe-/-Rag2 57 -/- mice lacking T, B, and NKT cells, ruling out the role of the adaptive immune system in the observed phenotype. Employing various complementary in vivo approaches, we discovered that discontinuing HFD in the alternate group downregulated Runx1, a negative regulator of inflammatory signaling pathways in the myeloid lineage. Consequently, after re61 exposure to HFD, myeloid progenitors were primed to respond to HFD re-exposure by differentiating into IL-1-producing immature neutrophils, and inducing a state of emergency myelopoiesis. Subsequently, neutrophils markedly increased in the peripheral blood, infiltrated atherosclerotic lesions and locally released neutrophil extracellular traps. Anti-Ly6G neutrophil depletion abolished the pro-atherogenic effects of alternate HFD. Specific deletion of Il1b and Il1 receptor confirmed that the IL-1 signaling pathway was a major driver of the pro67 inflammatory and pro-atherogenic neutrophil signature. Finally, treatment with anti-IL-1 neutralizing antibody or an inflammasome inhibitor during re-exposure to HFD reversed the pro-atherogenic effects of alternate HFD. In summary, we showed that alternate HFD accelerates atherosclerosis through IL-1-dependent neutrophil progenitor reprogramming.
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 GSE254105_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1068574 and SRA study SRP485707. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 10 more — browse all 10 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.