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Interferon epsilon as a novel anti-viral agent in the testis [human]

GSE252991 Homo sapiens (human) RNA-seq (gene expression) 48 samples Submitted 2024/10/18 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 48 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
48 samples: 16 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
Interferon epsilon is produced in the testis and protects the male reproductive tract against virus infection, inflammation and damagePLoS pathogens · 2024
Summary (written by the submitters)
The testis is susceptible to viral infections, which can impair fertility. Spermatogenic cells were thought to lack anti-viral defences, including interferon (IFN) or IFN-stimulated gene (ISG) expression. Challenging this dogma, we discovered that interferon-epsilon (IFNɛ), a type-I IFN first identified in female reproductive epithelia, is constitutively expressed by spermatogenic cells and macrophages in mouse and human testes.
Read the full summary ↓
Moreover, mice lacking IFNɛ are more susceptible to viral epididymo-orchitis. The mechanisms of IFNɛ-mediated anti-viral protection in the testis were examined in this study.
Published in
Interferon epsilon is produced in the testis and protects the male reproductive tract against virus infection, inflammation and damage
Wijayarathna R, de Geus ED, Genovese R et al. · PLoS pathogens 2024 · PMID 39621805 · doi:10.1371/journal.ppat.1012702
This dataset
Open GSE252991 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 GSE252991_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 PRJNA1063600 and SRA study SRP483171. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39621805) ↗
Study design
16 conditions, mostly in triplicate
Human Sertoli cells, therapeutic buffer treat… ×3 Human Sertoli cells, therapeutic buffer treat… ×3 Human Sertoli cells, therapeutic IFNε treatme… ×3 Human Sertoli cells, therapeutic IFNε treatme… ×3 Human Sertoli cells, prophylactic buffer trea… ×3 Human Sertoli cells, prophylactic buffer trea… ×3 Human Sertoli cells, prophylactic IFNε treatm… ×3 Human Sertoli cells, prophylactic IFNε treatm… ×3 +8 more

Supports a between-group comparison across 48 samples.

How we read this: 16 replicated groups read from 48 sample titles; they account for 48 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

+ 8 more — browse all 48 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.