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Organellar responses to lactation-induced stress impact the fate of post-partum mammary glands.

GSE272881 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/05/28 Platform GPL21493
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples
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
Differential ER stress responses during lactation and postpartum outcomes in mice depending on their mitochondrial genotypeNature communications · 2025
Summary (written by the submitters)
Breastfeeding protects against breast cancer, but not in all women and the mechanism remains elusive. Lactation implicates secretion of proteins through the endoplasmic reticulum (ER) and ER- mitochondria contacts for lipid metabolism. We show that in mice that share the same nuclear genome (BL/6) but differ in mitochondrial genomes (C57 or NZB) the outcome of lactation differs drastically.
Read the full summary ↓
We analyzed the unfolded protein responses (UPR) of both organelles during lactation. In contrast to the BL/6C57mice, in BL/6NZB females, UPRs signaling is abruptly inhibited, no apoptosis is observed, post-partum hyperplasia develops and RNAseq demonstrates expression of pro-tumorigenic genes, which is consistent with increased post-partum tumor development. However, forced-induction of pro-apoptotic UPRER reverses this phenotype. Remarkably, milk fatty acids (FA) differ between genotypes and correlate with breast cancer risk in humans. These results indicate that mitochondrial genetics modulates organellar responses to lactation and its protective effect. Our results further raise the possibility of using milk FA-signature as a read-out of the underlying biology to predict risk of breast cancer in the future.
Published in
Differential ER stress responses during lactation and postpartum outcomes in mice depending on their mitochondrial genotype
Chattopadhyay M, Jenkins EC, Janssen W et al. · Nature communications 2025 · PMID 40645964 · doi:10.1038/s41467-025-61666-5
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 GSE272881_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 PRJNA1139167 and SRA study SRP521663. Searching any of these in the dataset finder brings you back here.

Samples in this study

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