← BioTransfer GEO Dataset Finder
GEO series

Transcriptional activation of the CXCL gene family locus in mature human sperm in the presence of female-derived reproductive fluid

GSE290246 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2026/05/31 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 10 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
10 samples: 10 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.
Summary (written by the submitters)
Mature sperm are widely considered as transcriptionally inactive cells due to the tight compaction of their chromatin with protamine. However, sperm cells have been demonstrated to retain RNA polymerase subunits, chromatin remodelers, and transcription factors, and parts of their chromatin remains in a less condensed, nucleosome-bound configuration.
Read the full summary ↓
Consequently, some studies have suggested that sperm may be transcriptionally more active than previously assumed. Here, we tested this possibility by exposing mature human sperm to follicular fluid, a bioactive liquid surrounding the oocyte. Using RNA sequencing, we first observed that follicular fluid exposure alters sperm transcriptome. Then to validate whether the observed upregulation of selected candidate genes resulted from the transcriptional activation of these genes in sperm, we labeled newly synthesized RNAs with 5-ethynyl uridine. Our results suggest that follicular fluid triggers de novo transcription of sperm CXCL3 and CXCL8 genes and also indicate that some follicular fluid -derived transcripts are selectively transferred in sperm. Collectively, these findings suggest that specific sperm genes may become transcriptionally active in the presence of biologically relevant stimuli, potentially preparing sperm for fertilization and early embryo development. Furthermore, we envisage that activated sperm genes can have novel implications for the deeper mechanistic understanding of sexual selection.
This dataset
Open GSE290246 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 GSE290246_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 PRJNA1226643 and SRA study SRP565588. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
10 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 10 sample titles: 10 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
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.