← BioTransfer GEO Dataset Finder
GEO series

Effect of Oleuropein-based olive leaf extract supplementation on the transcriptomic response to moderate and intense exercise in human

GSE318937 Homo sapiens (human) RNA-seq (gene expression) 119 samples Submitted 2026/05/20 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 119 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
119 samples: 119 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
Oleuropein-based olive leaf extract enhances muscle mitochondrial bioenergetics response to moderate - but not maximal - intensity exercise in humansThe Journal of physiology · 2026
Summary (written by the submitters)
Sprint interval exercise (SIE) and moderate-intensity continuous exercise (MICE) both induce mitochondrial adaptations in skeletal muscle but likely via distinct molecular responses. Oleuropein from olive leaf extract (OLE) has been shown to promote mitochondrial Ca²⁺ uptake and pyruvate dehydrogenase (PDH) activation, suggesting a potential interaction with exercise-induced mitochondrial signaling.
Read the full summary ↓
In a randomized, double-blind crossover study, healthy males performed either MICE or SIE with or without OLE supplementation. Vastus lateralis muscle biopsies were collected before, immediately after, and 24 h post-exercise. Transcriptomic analyses revealed that OLE significantly modulated exercise-induced gene expression responses, particularly pathways related to mitochondrial function and inflammation, following both MICE and SIE. These molecular effects occurred despite limited functional changes and were accompanied by increased PDH activity only after MICE.
Published in
Oleuropein-based olive leaf extract enhances muscle mitochondrial bioenergetics response to moderate - but not maximal - intensity exercise in humans
Lanfranchi C, Moreno-Asso A, Horstman AMH et al. · The Journal of physiology 2026 · PMID 41979147 · doi:10.1113/JP290316
This dataset
Open GSE318937 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 GSE318937_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 PRJNA1420851 and SRA study SRP675888. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41979147) ↗
Study design
119 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 119 sample titles: 119 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

+ 79 more — browse all 119 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.