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Analyzing the impact of antibiotics treatment on lung inflammation in Mtb infected mouse lungs using bulk RNA transcriptomics

GSE300035 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/12/30 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 7 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.
Paper
Inflammatory Macrophages Associate With Tissue Injury and Fibrosis in a Mouse Model of TuberculosisThe Journal of infectious diseases · 2025
Summary (written by the submitters)
C3HeB/FeJ mice were infected with Erdman strain of Mycobacterium tuberculosis (Mtb) for 12 weeks. Mice were then treated with RIPE (rifampin, isoniazid, pyrazinamide, and ethambutol) or carrier (water). Lungs were harvested after 2, 4, and 8 weeks of treatment (times 14, 16, and 20 weeks post0infection) for RNA preparation and bulk RNA sequencing.
Published in
Inflammatory Macrophages Associate With Tissue Injury and Fibrosis in a Mouse Model of Tuberculosis
Boucau J, Ruelas Castillo J, Naidoo T et al. · The Journal of infectious diseases 2025 · PMID 40629518 · doi:10.1093/infdis/jiaf361
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 GSE300035_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 PRJNA1278745 and SRA study SRP592753. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly in triplicate
Uninfected - biol ×3 12 weeks Mtb infected + 2 weeks carrier treat… ×3 12 weeks Mtb infected + 2 weeks RIPE treated-… ×3 12 weeks Mtb infected + 4 weeks carrier treat… ×3 12 weeks Mtb infected + 8 weeks carrier treat… ×3 12 weeks Mtb infected + 8 weeks RIPE treated-… ×3 12 weeks Mtb infected + 4 weeks RIPE treated-… ×2

Supports a between-group comparison across 20 samples.

How we read this: 7 replicated groups read from 20 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
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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.