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IFN-γ induced the formation of foamy macrophages by CD40 signaling control during Mycobacterium abscessus pulmonary infection

GSE287681 Mus musculus (mouse) RNA-seq (gene expression) 17 samples Submitted 2025/08/06 Platform GPL23479
At a glance

RNA-seq (gene expression) · mouse · 17 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
17 samples: 5 × IFN_gamma_MAB vs 4 × Uninfected vs 4 × IFN_gamma vs 4 × MABGroups 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
Bufei Jiedu Formula enhances CD40 activation and macrophage polarization to eliminate intracellular MRSA persistersFrontiers in immunology · 2025
Summary (written by the submitters)
Transcriptome sequencing was performed to identify genes that might be responsible for the formation of a large number of lipid droplets with a combination of IFN-γ pretreatment and M. abscessus infection
Published in
Bufei Jiedu Formula enhances CD40 activation and macrophage polarization to eliminate intracellular MRSA persisters
Zhang S, Chen J, Qiu L et al. · Frontiers in immunology 2025 · PMID 40746551 · doi:10.3389/fimmu.2025.1623182
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 GSE287681_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 PRJNA1214242 and SRA study SRP559113. Searching any of these in the dataset finder brings you back here.

Study design
5 × IFN_gamma_MAB vs 4 × Uninfected vs 4 × IFN_gamma vs 4 × MAB

Supports a between-group comparison across 17 samples.

How we read this: 4 replicated groups read from 17 sample titles; they account for 17 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
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