The Relationship between microscopic and collective properties in gene regulatory network-based morphogenetic systems

Hyobin Kim*, Hiroki Sayama

*この研究の対応する著者

研究成果: Conference contribution

抄録

Gene regulatory network (GRN)-based morphogenetic systems have recently attracted an increasing attention in artificial life and morphogenetic engineering research. However, the relationship between microscopic properties of intracellular GRNs and collective properties of morphogenetic systems has not been fully explored yet. Thus, we propose a new GRN-based framework to elucidate how critical dynamics of GRNs in individual cells affect cell fates such as proliferation, apoptosis, and differentiation in resulting morphogenetic systems. Our model represents an aggregation of cells, where each cell has a GRN in it. We used Kauffman's NK Boolean networks for GRNs. Specifically, we randomly assigned three cell fates to the attractors. Varying the properties of GRNs from ordered, through critical, to chaotic regimes, we observed the process that cells are aggregated. We found that the criticality of a GRN made an optimal partition of basins of attraction, which led to a maximum balance between cell fates. Based on the result, we can conclude that the criticality of a GRN is an important controller to determine the frequencies of cell fates in morphogenetic systems.

本文言語English
ホスト出版物のタイトルProceedings of the Artificial Life Conference 2016, ALIFE 2016
編集者Carlos Gershenson, Tom Froese, Jesus M. Siqueiros, Wendy Aguilar, Eduardo J. Izquierdo, Sayama Hiroki
出版社MIT Press Journals
ISBN(電子版)9780262339360
出版ステータスPublished - 2016
外部発表はい
イベント15th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2016 - Cancun, Mexico
継続期間: 2016 7 42016 7 8

出版物シリーズ

名前Proceedings of the Artificial Life Conference 2016, ALIFE 2016

Conference

Conference15th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2016
国/地域Mexico
CityCancun
Period16/7/416/7/8

ASJC Scopus subject areas

  • 生化学、遺伝学、分子生物学(全般)
  • 人工知能
  • モデリングとシミュレーション

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