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NK cells in the female reproductive tract (FRT) acquire an effector transcriptional program during menstruation

GSE297609 Mus musculus (mouse) RNA-seq (gene expression) 19 samples Submitted 2025/05/30 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 19 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
19 samples: 5 × UFRT_D8_pospos vs 5 × Spleen_D8 vs 5 × Spleen_MPA vs 4 × MPA_UFRT_posposGroups 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
Murine modeling of menstruation identifies immune correlates of protection during Chlamydia muridarum challengePLoS pathogens · 2025
Summary (written by the submitters)
To evaluate the impact of the menstrual cycle on the transcriptional programs of NK cells in the female reproductive tract (FRT), we compared NK cells (Live lymphocytes, CD45.2+, DX5+, NK1.1+, Ly6G-, CD3-, CD19-) from the spleen and FRT of female C57BL/6J mice either treated with medroxy-progesterone acetate (MPA) or on day 8 of the pseudopregnancy / menstruation protocol.
Read the full summary ↓
Prior to euthanasia, mice were injected intravenously with anti-CD45 antibody to discern between tissue and circulating NK cells in the FRT, with only tissue-resident cells sorted for analysis. Sorted splenic NK cells were not separated based on CD45 staining. The results indicate that FRT NK cells isolated on day 8 of the pseudopregnancy / menstruation protocol express genes associated with NK cell effector responses compared to FRT NK cells in mice treated with MPA and compared to splenic NK cells in both models.
Published in
Murine modeling of menstruation identifies immune correlates of protection during Chlamydia muridarum challenge
Lawrence LA, Williams ME, Vidal P et al. · PLoS pathogens 2025 · PMID 40478914 · doi:10.1371/journal.ppat.1012276
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 GSE297609_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 PRJNA1265255 and SRA study SRP586387. Searching any of these in the dataset finder brings you back here.

Study design
5 × UFRT_D8_pospos vs 5 × Spleen_D8 vs 5 × Spleen_MPA vs 4 × MPA_UFRT_pospos

Supports a between-group comparison across 19 samples.

How we read this: 4 replicated groups read from 19 sample titles; they account for 19 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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