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Meiotic prophase I disruption as a strategy for non-hormonal male contraception using small-molecule inhibitor JQ1

GSE310342 Mus musculus (mouse) Single-cell RNA-seq 15 samples Submitted 2026/03/23 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 15 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
15 samples: 5 conditions, mostly in triplicateGroups 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
Meiotic prophase I disruption as a strategy for nonhormonal male contraception using small-molecule inhibitor JQ1Proceedings of the National Academy of Sciences of the United States of America · 2026
Summary (written by the submitters)
The small-molecule bromodomain inhibitor JQ1 transiently suppresses spermatogenesis by targeting BRDT, a testis-specific transcriptional regulator required for meiotic and post-meiotic differentiation. To define the transcriptional and cellular consequences of JQ1 exposure and recovery, we performed single-cell RNA sequencing (scRNA-seq) of mouse testes collected from untreated controls, JQ1-treated males, and recovery cohorts following treatment withdrawal.
Read the full summary ↓
This dataset includes 15 libraries representing all experimental groups and captures germ cell and somatic populations spanning spermatogonial, meiotic, and spermiogenic stages. The data provide a comprehensive transcriptional atlas of JQ1-induced meiotic disruption and subsequent restoration of spermatogenesis, supporting mechanistic and contraceptive studies of BRDT inhibition.
Published in
Meiotic prophase I disruption as a strategy for nonhormonal male contraception using small-molecule inhibitor JQ1
Tanis S, Simon LE, Alexander AK et al. · Proceedings of the National Academy of Sciences of the United States of America 2026 · PMID 41945432 · doi:10.1073/pnas.2517498123
This dataset
Open GSE310342 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 GSE310342_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1365793 and SRA study SRP646618. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41945432) ↗
Study design
5 conditions, mostly in triplicate
scRNA-seq_3-week Treatment ×3 scRNA-seq_3-week Vehicle-Treated ×3 scRNA-seq_3-week Recovery ×3 scRNA-seq_3-week Vehicle-Recovery ×3 scRNA-seq_3-week Untreated ×3

Supports a between-group comparison across 15 samples.

How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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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