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Glutamine influx licenses macrophage glutaminolysis for restorative functions in atherosclerosis

GSE302738 Mus musculus (mouse) RNA-seq (gene expression) 29 samples Submitted 2025/09/01 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 29 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
29 samples: 8 conditions, mostly in triplicateGroups 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)
Atherosclerotic plaque macrophages are key players at the site of disease, where metabolic reprogramming dictates whether they ameliorate or exacerbate pathogenesis. Here, we found that glutamine synthetase served as a metabolic rheostat controlling nutrient flux into cells in vitro, macrophage restorative functions in the context of atherosclerosis relied more heavily on glutamine influx and glutaminase activity.
Read the full summary ↓
Cell-intrinsic regulation of glutaminolysis drives macrophage metabolic and transcriptional rewiring in atherosclerosis by diverting exogenous Gln flux to balance remodeling and restorative functions. Thus, we uncover a role of glutamine uptake upstream of glutaminolysis in atherosclerotic plaque development and stability.
This dataset
Open GSE302738 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 GSE302738_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: 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 PRJNA1292015 and SRA study SRP601183. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly in triplicate
IL4_CTL ×3 IL4_GLS1 ×3 IL4.MSO_CTL ×3 IL4.MSO_GLS1 ×3 Basal_CTL ×2 Basal_GLS1 ×2 MSO_CTL ×2 MSO_GLS1 ×2 +9 more

Supports a between-group comparison across 20 samples.

How we read this: 8 replicated groups read from 29 sample titles; they account for 20 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
Datasets on a similar topic

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