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EIF3D Safeguards the Homeostasis of Key Signaling Pathways in Human Primed Pluripotency [RNA-Seq]

GSE248702 Homo sapiens (human) RNA-seq (gene expression) 75 samples Submitted 2025/04/10 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 75 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
75 samples
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
EIF3D safeguards the homeostasis of key signaling pathways in human primed pluripotencyScience advances · 2025
Summary (written by the submitters)
Pluripotent stem cell identities such as differentiation and infinite proliferation have long been decoded in the frameworks of transcription factor networks, epigenomes, and signal transduction, yet unclear and fragmented. However, directing attention toward translation regulation, the bridge between these events promises to provide new insights into previously unexplained mechanisms.
Read the full summary ↓
Functional screening led to the discovery that EIF3D maintains primed pluripotency via selective translation regulation. The loss of EIF3D unbalanced the pluripotency-associated signaling pathways, disrupting primed pluripotency. Furthermore, we found that EIF3D safeguards robust proliferation by managing the translation of multiple p53 regulators that maintain low p53 activity in the undifferentiated state. Therefore, this study provides a paradigm for selective translation regulation that defines the primed pluripotent stem cell identity.
Published in
EIF3D safeguards the homeostasis of key signaling pathways in human primed pluripotency
Okubo C, Nakamura M, Sato M et al. · Science advances 2025 · PMID 40203091 · doi:10.1126/sciadv.adq5484
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 GSE248702_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 PRJNA1045619 and SRA study SRP474607. Searching any of these in the dataset finder brings you back here.

Samples in this study

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