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The postcopulatory transcriptional response in different sections of the female reproductive tract

GSE305066 Mus musculus (mouse) RNA-seq (gene expression) 39 samples Submitted 2026/02/03 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 39 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
39 samples: 39 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
Postcopulatory transcriptional profiling of the murine uterotubal junction identifies potential sperm selection mediatorsReproduction (Cambridge, England) · 2026
Summary (written by the submitters)
In internally fertilizing species, the first direct molecular contact between the male and female gene products occurs within the female reproductive tract – a highly complex and rapidly evolving structure in many species. While molecular interactions between sperm and oocyte have received a lot of attention, efforts to gain insight into the crosstalk happening during the sperm cells journey to the site of fertilization have been limited, especially in mammals.
Read the full summary ↓
The interactions between sperm cells and the female reproductive tract not only facilitate sperm guiding, storage, and protection against introduced pathogens but also comprise a sophisticated mechanism of female-mediated sperm selection. Molecular interaction partners that are involved directly in sperm assessment and selection, however, are difficult to pinpoint within the massive immunological response happening in the female reproductive tract following copulation. While we have some knowledge of sperm surface proteins interacting with the components of the female reproductive tract, the female counterparts of these interactions are still largely unknown. We characterized the murine female transcriptional response to semen following copulation. We mated males and females from different strains and used strain-specific SNPs to distinguish semen-derived from female reproductive tract-derived transcripts. We specifically focused on the different subdivisions of the female reproductive tract, with the aim to identify female molecules directly involved in sperm assessment. Our results show a large number of differentially expressed genes in uterus, uterotubal junction and oviduct compared to unmated control and significant differences in differential expression between the subsections.
Published in
Postcopulatory transcriptional profiling of the murine uterotubal junction identifies potential sperm selection mediators
Arsić N, de Dios Castresana M, Pericuesta E et al. · Reproduction (Cambridge, England) 2026 · PMID 41575288 · doi:10.1093/reprod/xaag015
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 GSE305066_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 PRJNA1304390 and SRA study SRP608027. Searching any of these in the dataset finder brings you back here.

Study design
39 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 39 sample titles: 39 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
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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.