| Literature DB >> 35394424 |
Seth Teague1, Bohan Chen2, Hina Aftab Khan2, Kyoung Jo2, Emily Freeburne2, Hunter Li2, Bolin Li2, Ran Ran2, Jason R Spence2,1,3,4, Idse Heemskerk2,1,3,5.
Abstract
Human primordial germ cells (hPGCs) form around the time of implantation and are the precursors of eggs and sperm. Many aspects of hPGC specification remain poorly understood because of the inaccessibility of the early postimplantation human embryo for study. Here, we show that micropatterned human pluripotent stem cells (hPSCs) treated with BMP4 give rise to hPGC-like cells (hPGCLC) and use these as a quantitatively reproducible and simple in vitro model to interrogate this important developmental event. We characterize micropatterned hPSCs up to 96 hr and show that hPGCLC populations are stable and continue to mature. By perturbing signaling during hPGCLC differentiation, we identify a previously unappreciated role for Nodal signaling and find that the relative timing and duration of BMP and Nodal signaling are critical parameters controlling the number of hPGCLCs. We formulate a mathematical model for a network of cross-repressive fates driven by Nodal and BMP signaling, which predicts the measured fate patterns after signaling perturbations. Finally, we show that hPSC colony size dictates the efficiency of hPGCLC specification, which led us to dramatically improve the efficiency of hPGCLC differentiation.Entities:
Keywords: cell fate patterning; cell signaling; computational biology; developmental biology; human; human pluripotent stem cells; micropatterning; primordial germ cells; systems biology
Mesh:
Year: 2022 PMID: 35394424 PMCID: PMC9106331 DOI: 10.7554/eLife.72811
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.713