4.8 Article

Efficient differentiation of human primordial germ cells through geometric control reveals a key role for Nodal signaling

期刊

ELIFE
卷 11, 期 -, 页码 -

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eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.72811

关键词

human pluripotent stem cells; cell fate patterning; primordial germ cells; cell signaling; micropatterning; Human

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资金

  1. University of Michigan Medical School
  2. ETH Zurich Foundation
  3. National Institute of General Medical Sciences [R35 GM138346]
  4. University of Michigan Medical School Pioneer Fellowship

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In this study, micropatterned human pluripotent stem cells (hPSCs) treated with BMP4 were used as a model to study hPGC specification, and the important role of Nodal signaling in this process was identified. Additionally, a mathematical model was developed to predict fate patterns after signaling perturbations, and it was found that the size of hPSC colonies affects the efficiency of hPGCLC specification.
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.

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