GEO series

The metabolic cofactor Coenzyme A enhances alternative macrophage activation via MyD88-linked signaling [RNA-seq]

GSE324239 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/03/13 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.

Summary (written by the submitters)

Metabolites and metabolic co-factors can shape the innate immune response, though the pathways by which these molecules adjust inflammation remain incompletely understood. Here we show that the metabolic cofactor Coenzyme A (CoA) enhances IL-4 driven alternative macrophage activation [M(IL-4)] in vitro and in vivo. Unexpectedly, we found that perturbations in intracellular CoA metabolism did not influence M(IL-4) differentiation.

Read the full summary ↓

Rather, we discovered that exogenous CoA is a weak TLR4 agonist which primes macrophages for increased receptivity to IL-4 signals and resolution of inflammation via MyD88. Mechanistic studies revealed MyD88- linked signals enhance IL-4 responsiveness, in part, by reshaping chromatin accessibility to enhance transcription of IL-4-linked genes. The results identify CoA as a host metabolic co-factor that influences macrophage function through an extrinsic TLR4-dependent mechanism and suggest that damage-associated molecular patterns (DAMPs) can prime macrophages for alternative activation and resolution of inflammation.

This dataset

Open GSE324239 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 GSE324239_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 PRJNA1434288 and SRA study SRP682175. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

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

GSM9571678 BMDM, NT,48hrs, rep1,R1
GSM9571679 BMDM, NT,48hrs, rep2,R1
GSM9571680 BMDM, NT,48hrs, rep3,R1
GSM9571681 BMDM, NT,48hrs, rep4,R1
GSM9571682 BMDM, IL-4,48hrs, rep1,R1
GSM9571683 BMDM, IL-4,48hrs, rep2,R1
GSM9571684 BMDM, IL-4,48hrs, rep3,R1
GSM9571685 BMDM, IL-4,48hrs, rep4,R1
GSM9571686 BMDM, IL-4+ 1mM CoA,48hrs, rep1,R1
GSM9571687 BMDM, IL-4+ 1mM CoA,48hrs, rep2,R1
GSM9571688 BMDM, IL-4+ 1mM CoA,48hrs, rep3,R1
GSM9571689 BMDM, IL-4+ 1mM CoA,48hrs, rep4,R1

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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.