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Aging and the pathophysiology of pulmonary Mycobacterium avium complex (MAC) disease

GSE287501 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/03/18 Platform GPL19057
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: 3 × Young mice control vs 3 × Old mice control vs 3 × Young mice 2 months after MAC infection vs 3 × Old mice 2 months after MAC infectionGroups 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
The Nrf2-SLPI axis in aging and its role in the pathophysiology of pulmonary Mycobacterium avium complex diseaseFrontiers in immunology · 2026
Summary (written by the submitters)
We infected 18-month-old mice (old mice) and 9-week-old mice (young mice) with 1 × 10⁷ CFU of Mycobacterium avium via the respiratory tract for comparison analysis. Two months post-infection, both bacterial loads and mortality rates were significantly higher in old mice compared to young mice. RNA-seq analysis of lung tissues were performed.
Published in
The Nrf2-SLPI axis in aging and its role in the pathophysiology of pulmonary Mycobacterium avium complex disease
Matsumura S, Matsuyama M, Nakajima M et al. · Frontiers in immunology 2026 · PMID 41822512 · doi:10.3389/fimmu.2026.1733057
This dataset
Open GSE287501 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 GSE287501_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 PRJNA1213102 and SRA study SRP558532. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41822512) ↗
Study design
3 × Young mice control vs 3 × Old mice control vs 3 × Young mice 2 months after MAC infection vs 3 × Old mice 2 months after MAC infection

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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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.