← BioTransfer GEO Dataset Finder
GEO series

The influence of the geroprotective cytokine on the transcriptome of young and old mesenchymal stem cells

GSE287646 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/04/30 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples: 4 × MCS, MMC-/GDF-, vs 4 × MCS, MMC-/GDF+, vs 4 × MCS, MMC+/GDF-, vs 4 × MCS, MMC+/GDF+,Groups 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
The influence of the geroprotective cytokine on the transcriptome of young and senescent mesenchymal stem cellsBMC research notes · 2025
Summary (written by the submitters)
Increasing longevity and the growing elderly population necessitate a deeper understanding of aging mechanisms to prolong productive life and improve treatments for age-related diseases linked with cellular senescence. Mesenchymal stem cells (MSCs) are crucial for maintaining tissue homeostasis, but their physiological changes during senescence are not well understood.
Read the full summary ↓
Growth differentiation factor 11 (GDF11) has emerged as a potential rejuvenation factor, enhancing MSC viability, mobility, and angiogenic functions, which improves outcomes in ischemic models and cardiac repair. This study aims to identify transcriptomic changes in young and senescent MSCs influenced by GDF11, highlighting its potential in MSC-based therapies.
Published in
The influence of the geroprotective cytokine on the transcriptome of young and senescent mesenchymal stem cells
Kondratyeva LG, Matveeva DK, Ezdakova MI et al. · BMC research notes 2025 · PMID 40275319 · doi:10.1186/s13104-025-07262-8
This dataset
Open GSE287646 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 GSE287646_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 PRJNA1214177 and SRA study SRP558987. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40275319) ↗
Study design
4 × MCS, MMC-/GDF-, vs 4 × MCS, MMC-/GDF+, vs 4 × MCS, MMC+/GDF-, vs 4 × MCS, MMC+/GDF+,

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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

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.