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Enhanced activities of OCT4 and SOX2 facilitates epigenetic reprogramming by modulating cell cycle [RNA-Seq]

GSE222738 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/01/01 Platform GPL19057Platform GPL16417
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
Samples
12 samples: 6 conditions, mostly in duplicateGroups 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
Enhanced Activities of OCT4 and SOX2 Promote Epigenetic Reprogramming by Shortening G1 PhaseAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
Summary (written by the submitters)
Fusing VP16 transcription activation domain with OCT4 and SOX2 (OvSvK) promoted the generation of induced pluripotency stem cells (iPSCs) by remodeling cell cycle and epigenetic modification. Multiomic analyses revealed that the other 80% upregulated genes experienced increase in H3K4me3 and decrease in H3K27me3 and were enriched with genes which undergo more intensive DNA demethylation during cell proliferation.
Read the full summary ↓
Consistent results were obtained when siCcnd1, siCdkn2a and Ccne1 were screened out and used to mimic the cell cycle remodeling. In summary, these studies set up a correlation between epigenetic modification during cell cycle remodeling and cell fate conversion.
Published in
Enhanced Activities of OCT4 and SOX2 Promote Epigenetic Reprogramming by Shortening G1 Phase
Guo L, Lin J, Ren Q et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2025 · PMID 40448624 · doi:10.1002/advs.202415528
This dataset
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.

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 GSE222738_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA913303 and SRA study SRP416233. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
O Bulk RNA-seq ×2 S Bulk RNA-seq ×2 K Bulk RNA-seq ×2 OS Bulk RNA-seq ×2 SK Bulk RNA-seq ×2 OK Bulk RNA-seq ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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
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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.