← BioTransfer GEO Dataset Finder
GEO series

Modulation of mitochondrial abundance in pluripotent stem cells and embryos

GSE268632 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/06/01 Platform GPL24676Platform GPL24247
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 12 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
Unraveling mitochondrial influence on mammalian pluripotency via enforced mitophagyCell · 2025
Summary (written by the submitters)
For billions of years, mitochondria have fueled the development of all eukaryotic organisms. Despite their ubiquitous presence, whether mitochondria are necessary for eukaryotic life has never been directly assessed, as strategies to generate eukaryotic models with partially reduced, or completely eliminated, mitochondrial content are limiting.
Read the full summary ↓
To establish a system in which we can study the necessity for mitochondria in mammalian physiology and development, we established an enforced mitophagy system that allows for the efficient and complete removal of mitochondria from human and mouse pluripotent stem cells (PSCs). We found these cells to maintain many aspects of pluripotency, including the abilities to maintain expression of most mitochondrial genes and give rise to other cell types despite a complete lack of mitochondria. Moreover, we devised a transgenic method that allows for the reduction of mitochondria from in vivo mouse embryos and reveal a threshold of mitochondrial abundance necessary to maintain pre-implantation embryonic development and embryo cleavage.
Published in
Unraveling mitochondrial influence on mammalian pluripotency via enforced mitophagy
Schmitz DA, Oura S, Li L et al. · Cell 2025 · PMID 40499542 · doi:10.1016/j.cell.2025.05.020
This dataset
Open GSE268632 in finder → Find more 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 GSE268632_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 PRJNA1117937 and SRA study SRP510714. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40499542) ↗
Study design
12 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 12 sample titles: 12 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 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.