Combinatorial BMP4 and activin direct the choice between alternate routes to endoderm in a stem cell model of human gastrulation
Lineage specification requires accurate interpretation of multiple signaling cues. However, how combinatorial signaling histories influence fate outcomes remains unclear. We combined single-cell transcriptomics, live-cell imaging, and mathematical modeling to explore how activin and bone morphogenetic protein 4 (BMP4) guide fate specification during human gastrulation. We see that these signals interact both synergistically and antagonistically to drive fate decisions. We find that definitive endoderm arises from lineage convergence: a direct route from pluripotency and an indirect route via a mesoderm progenitor state. Cells pass through temporal windows of signaling competency, and the relative concentration of activin and BMP4 dictates the trajectory choice. The efficiency between routes is underpinned by a dual role of BMP4 in inducing mesoderm genes while promoting pluripotency exit. This work underscores that the combination of signals a cell is exposed to not only directs its final fate but also the developmental route taken, suggesting lineage convergence enhances robustness in fate specification.
Authors
- Irene Rodríguez‐Hernández (ORCID: https://orcid.org/0000-0002-6487-452X)
- Silvia D. M. Santos (ORCID: https://orcid.org/0000-0002-2906-7888)
- Pablo Soro-Barrio (ORCID: https://orcid.org/0000-0003-4509-6109)
- James Briscoe (ORCID: https://orcid.org/0000-0002-1020-5240)
- Probir Chakravarty (ORCID: https://orcid.org/0000-0003-1146-8824)
- Oliver C K Inge
- Borzo Gharibi (ORCID: https://orcid.org/0009-0002-9379-3929)
- Jake Cornwall-Scoones (ORCID: https://orcid.org/0000-0002-7435-486X)
- Molly Strom
- Elias Copin (ORCID: https://orcid.org/0000-0001-6831-5568)
Institutions
- The Francis Crick Institute (GB)
Publication Details
- Journal
- Developmental Cell
- Published
- 2025-09-10
- DOI
- https://doi.org/10.1016/j.devcel.2025.08.009
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00