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Chemically defined and growth factor-free system for highly efficient endoderm induction of human pluripotent stem cells [RNA-seq]

GSE274488 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2024/11/26 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 15 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
15 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
Chemically defined and growth factor-free system for highly efficient endoderm induction of human pluripotent stem cellsStem cell reports · 2025
Summary (written by the submitters)
Definitive endoderm (DE) derived from human pluripotent stem cells (hPSCs) holds great promise for cell-based therapies and drug discovery. However, current DE differentiation methods required undefined components and/or expensive recombinant proteins, limiting their scalable manufacture and clinical use. Homogeneous DE differentiation in defined and recombinant protein-free conditions remains a major challenge.
Read the full summary ↓
Here, by systematic optimization and high-throughput screening, we report a fully synthetic, small molecule-based defined system that contains only four components (4C), enabling highly efficient and cost-effective DE specification of hPSCs in the absence of recombinant proteins. 4C-induced DE can differentiate into functional hepatocytes, lung epithelium, and pancreatic β cells in vitro and multiple DE-derivatives in vivo. Genomic accessibility analysis reveal that 4C reconfigures chromatin architecture to allow key DE transcription-factor binding and identify TEAD3 as a novel key DE regulator. This system may facilitate mass production of mature DE-derivatives for drug discovery, disease modelling, and cell therapy.
Published in
Chemically defined and growth factor-free system for highly efficient endoderm induction of human pluripotent stem cells
Zhao Z, Zeng F, Nie Y et al. · Stem cell reports 2025 · PMID 39729989 · doi:10.1016/j.stemcr.2024.11.012
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 GSE274488_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 PRJNA1146727 and SRA study SRP525571. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 15 more — browse all 15 samples with per-sample file links →

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