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Elimination of senescent cells with senolytic host-directed therapy reduces tuberculosis progression in mice.

GSE301446 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/03/24 Platform GPL21103
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
Elimination of senescent cells with senolytic drugs as adjunctive host-directed therapy reduces tuberculosis progression in miceNature communications · 2026
Summary (written by the submitters)
By eliciting lung necrosis, which enhances aerosol transmission, Mycobacterium tuberculosis (Mtb) sustains its long-term survival as a human pathogen. In studying the necrotic granuloma lesions unique tocharacteristic of Mtb-infected B6.Sst1S mice, we found that lung myeloid cells display elevated senescence markers including cell cycle arrest proteins p21 and p16, the DNA damage marker γH2A.X, senescence-associated β-Galactosidase activity, and senescence-associated secretory phenotype (SASP) proteins.
Read the full summary ↓
These same markers were also elevated in Mtb-infected aged wild type (WT) mice but not in young WT mice. Global transcriptomics data revealed activation of pro-survival (PI3K, MAPK) and anti-apoptotic pathways in TNFα- treated and Mtb- infected B6.Sst1S BMDMs. As senescent cells have been postulated shown to be long-lived, non-dividing cells which release tissue damaging signaling molecules, we treated Mtb-infected mice with a cocktail of three senolytic drugs (dasatinib, quercetin, and fisetin) designed to kill senescent cells. Senolytic drug treatment prolonged survival and reduced Mtb lung counts in B6.Sst1S and aged WT mice to a greater degree than young WT mice and concomitantly reduced lung senescence markers. These findings indicate that (1) Mtb infection may induce lung myeloid cells to enter a senescent state and that these cells play a causal role in disease progression, and (2) Senolytics merit consideration for human clinical trials against tuberculosis (TB)Senolytics should be tested in human clinical trials against TB.
Published in
Elimination of senescent cells with senolytic drugs as adjunctive host-directed therapy reduces tuberculosis progression in mice
Shee S, Martinez-Martinez YB, Koleske B et al. · Nature communications 2026 · PMID 42098153 · doi:10.1038/s41467-026-72874-y
This dataset
Open GSE301446 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 GSE301446_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 PRJNA1285174 and SRA study SRP597361. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42098153) ↗
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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