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Resources » Paper

Kuang, Xiangyu et al. (2021) International Worm Meeting "Computable early C. elegans embryo with a data-driven phase field model"

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  • Overview

    Status:
    Publication type:
    Meeting_abstract
    WormBase ID:
    WBPaper00063254

    Kuang, Xiangyu, Guan, Guoye, Wong, Ming-Kin, Chan, Lu-Yan, Zhao, Zhongying, Tang, Chao, & Zhang, Lei (2021). Computable early C. elegans embryo with a data-driven phase field model presented in International Worm Meeting. Unpublished information; cite only with author permission.

    Morphogenesis is a precise and robust dynamic process during metazoan embryogenesis, consisting of both cell proliferation and cell migration. Despite the fact that much is known about specific regulations at the molecular level, how cell proliferation and migration together drive the morphogenesis at the cellular and organismic levels is not well understood. Here, using Caenorhabditis elegans as the model animal, we present a data-driven phase field model to compute the early embryonic morphogenesis within a confined eggshell. By using three-dimensional time-lapse cellular morphological information generated by imaging experiments to set the model parameters, we can not only reproduce the precise evolution of cell location, cell shape and cell-cell contact relationship in vivo, but also reveal the critical roles of cell division and cell-cell attraction in governing the early development of C. elegans embryo. In brief, we provide a generic approach to compute the embryonic morphogenesis and decipher the underlying mechanisms (Kuang†, Guan†, et al. bioRxiv, 2020, 422560).

    Affiliations:
    - Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
    - Department of Biology, Hong Kong Baptist University, Hong Kong, China
    - Beijing International Center for Mathematical Research, Peking University, Beijing, China
    - School of Physics, Peking University, Beijing, China
    - State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong, China
    - Center for Quantitative Biology, Peking University, Beijing, China


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