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Combinatorial BMP4 and Activin direct choice between alternate routes to endoderm during human gastrulation [RNA-seq]

GSE274677 Homo sapiens (human) Single-cell RNA-seq 51 samples Submitted 2025/10/01 Platform GPL20301
At a glance

Single-cell RNA-seq · human · 51 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
51 samples: 17 conditions, mostly in triplicateGroups 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
Combinatorial BMP4 and activin direct the choice between alternate routes to endoderm in a stem cell model of human gastrulationDevelopmental cell · 2025
Summary (written by the submitters)
Cellular differentiation requires the proper interpretation of multiple signalling cues which vary in concentration. How exactly the combination and history of signals a cell is exposed to influences a fate decision remains poorly understood. In this study we use hESCs as a tractable model system to explore how combinations of cues guide state transitions during gastrulation.
Read the full summary ↓
Using single-cell transcriptomics and live-cell imaging of engineered hESCs expressing endogenous cell state reporters, we reconstructed developmental lineages and obtained single-cell measurements of fate specification dynamics during gastrulation. We found that definitive endoderm, one of the three germ layers, arises from two distinct developmental trajectories: a direct route from pluripotency, and an indirect route via a mesoderm progenitor state. Furthermore, by modulating the signalling input we found that the relative concentration of Activin and BMP4 controls the choice between alternate trajectories to endoderm. These findings reveal a lineage convergence event during human gastrulation with multiple routes existing to definitive endoderm dictated by the combination of signalling cues presented. This work shows that the combination cues a cell is exposed to not only directs the final fate outcome it assumes, but the developmental route taken.
Published in
Combinatorial BMP4 and activin direct the choice between alternate routes to endoderm in a stem cell model of human gastrulation
Inge OCK, Copin E, Cornwall-Scoones J et al. · Developmental cell 2025 · PMID 40930099 · doi:10.1016/j.devcel.2025.08.009
This dataset
Open GSE274677 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 GSE274677_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1147640 and SRA study SRP526052. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40930099) ↗
Study design
17 conditions, mostly in triplicate
Untreated_0hr ×3 Activin100BMP410_1hr ×3 Activin100BMP410_6hr ×3 Activin100BMP410_12hr ×3 Activin100BMP410_24hr ×3 Activin100BMP410_36hr ×3 Activin100BMP410_48hr ×3 Activin100BMP410_72hr ×3 +9 more

Supports a between-group comparison across 51 samples.

How we read this: 17 replicated groups read from 51 sample titles; they account for 51 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

+ 11 more — browse all 51 samples with per-sample file links →

Datasets on a similar topic

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