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Classically activated macrophages undergo functionally significant nucleotide metabolism remodelling driven by nitric oxide

GSE267546 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/07/16 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 12 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.
Paper
Classically activated macrophages undergo functionally significant nucleotide metabolism remodelling driven by nitric oxideNature metabolism · 2025
Summary (written by the submitters)
During an immune response, macrophages specifically reprogramme their metabolism to support functional changes. Here, we revealed that nucleotide metabolism is one of the most significantly reprogrammed pathways upon classical activation. Specifically, de novo synthesis of pyrimidines is maintained up to uridine monophosphate, but blocked at cytidine triphosphate and deoxythymidine monophosphate synthesis; de novo synthesis of purines is shut off at the last step (catalysed by AICAR transformylase/IMP cyclohydrolase), and cells switch to increased purine salvage.
Read the full summary ↓
Nucleotide degradation to nitrogenous bases is upregulated but complete oxidation of purine bases (catalysed by xanthine oxidoreductase) is inhibited, diverting flux into salvage. Mechanistically, nitric oxide was identified as a major regulator of nucleotide metabolism, simultaneously driving multiple key changes, including the transcriptional downregulation of Tyms and profound inhibition of AICAR transformylase/IMP cyclohydrolase and XOR. Inhibiting purine salvage using HGPRT knockout or inhibition alters the expression of many stimulation-induced genes, suppresses macrophage migration and phagocytosis, and increases the proliferation of the intracellular parasite Toxoplasma gondii. Together, these results thoroughly uncover the dynamic reprogramming of macrophage nucleotide metabolism upon classical activation and elucidate the regulatory mechanisms and functional significance of such reprogramming.
Published in
Classically activated macrophages undergo functionally significant nucleotide metabolism remodelling driven by nitric oxide
John SV, Seim GL, Erazo-Flores BJ et al. · Nature metabolism 2025 · PMID 40759751 · doi:10.1038/s42255-025-01337-3
This dataset
Open GSE267546 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 GSE267546_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 PRJNA1111814 and SRA study SRP507935. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40759751) ↗
Study design
12 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 12 sample titles: 12 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.