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Induction of Senescence During Postpartum Mammary Gland Involution supports tissue remodeling and promotes postpartum tumorigenesis

GSE285005 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/12/02 Platform GPL23479
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 × Whole mammary gland involution day 0 vs 3 × Whole mammary gland involution day 1 vs 3 × Whole mammary gland involution day 3 vs 3 × Whole mammary gland involution day 7Groups 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
Induction of senescence during postpartum mammary gland involution supports tissue remodeling and promotes postpartum tumorigenesisNature aging · 2026
Summary (written by the submitters)
Cellular senescence is an evolutionarily conserved stress response which contributes to tissue repair and tumor suppression, yet its accumulation is also linked to aging and disease. Whether physiological senescence can be exploited by oncogenic events to promote tumorigenesis is unknown. Postpartum mammary gland involution is a major adult tissue-remodeling event, resembling wound healing, and is closely associated with postpartum breast cancer (PPBC).
Read the full summary ↓
Here, we show that during mammary gland involution in mice, a p16-dependent senescence response is induced in alveolar luminal cells. Eliminating senescent cells disrupts tissue remodeling and delays involution, demonstrating their physiological importance. However, in a PPBC model where oncogenic activation coincides with involution, removing involution-associated senescent cells extended tumor latency. Mechanistically, senescent cells enhance tumor cell plasticity via the senescence-associated secretory phenotype (SASP), fostering metastasis. Our findings reveal that senescence, while required for postpartum tissue remodelling, can be hijacked to facilitate tumorigenesis, defining senescence as a unifying mechanism linking tissue repair to tumorigenesis.
Published in
Induction of senescence during postpartum mammary gland involution supports tissue remodeling and promotes postpartum tumorigenesis
Chiche A, Djoual L, Charifou E et al. · Nature aging 2026 · PMID 41708829 · doi:10.1038/s43587-025-01058-y
This dataset
Open GSE285005 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 GSE285005_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 PRJNA1200780 and SRA study SRP552804. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41708829) ↗
Study design
3 × Whole mammary gland involution day 0 vs 3 × Whole mammary gland involution day 1 vs 3 × Whole mammary gland involution day 3 vs 3 × Whole mammary gland involution day 7

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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