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Cross-sectional study of human spermatozoa mRNA from infertility study participants and proven-fertile control participants

GSE281732 Homo sapiens (human) RNA-seq (gene expression) 70 samples Submitted 2025/01/16 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 70 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
Homo sapiens (human)
Samples
70 samples: 57 distinct titles, 1 of them repeatedGroups 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
Downregulation of spermatogenesis-associated transcripts in the spermatozoa of idiopathic infertile menAndrology · 2025
Summary (written by the submitters)
The goal of this study was to identify mRNAs in spermatozoa that differ between idiopathic infertile men and proven-fertile men. The rationale is that there are many idiopathic infertile or subfertile men, and that semen parameters cannot reliably distinguish idopathic infertile men from fertile men. Spermatozoa contain thousands of RNAs, and the levels of those RNAs may reflect the extent of normal spermatogenesis and sperm maturation. We hypothesized that we could identify differences between two patient populations that would reflect their clinical fertility status.
Published in
Downregulation of spermatogenesis-associated transcripts in the spermatozoa of idiopathic infertile men
Qi X, Ji H, Bianchi E et al. · Andrology 2025 · PMID 40346865 · doi:10.1111/andr.70060
This dataset
Open GSE281732 in finder → Find more human 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 GSE281732_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 PRJNA1185388 and SRA study SRP544811. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40346865) ↗
Study design
57 distinct titles, 1 of them repeated
spermatozoa, proven-fertile, ×14

How we read this: Read from 70 sample titles: 57 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

+ 30 more — browse all 70 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.