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Computational cell model based on autonomous cell movement regulated by cell-cell signalling successfully recapitulates the "inside and outside" pattern of cell sorting.

Maeda TT, Ajioka I, Nakajima K - BMC Syst Biol (2007)

Bottom Line: Development of multicellular organisms proceeds from a single fertilized egg as the combined effect of countless numbers of cellular interactions among highly dynamic cells.The model gives some insights about what cellular behaviors make an appropriate global pattern of the cell population.The simulation results suggested that direction of cell movement responding to its neighborhood and the cell's mobility are important for this specific rearrangement.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Anatomy, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan. ttmaeda@gsc.riken.jp

ABSTRACT

Background: Development of multicellular organisms proceeds from a single fertilized egg as the combined effect of countless numbers of cellular interactions among highly dynamic cells. Since at least a reminiscent pattern of morphogenesis can be recapitulated in a reproducible manner in reaggregation cultures of dissociated embryonic cells, which is known as cell sorting, the cells themselves must possess some autonomous cell behaviors that assure specific and reproducible self-organization. Understanding of this self-organized dynamics of heterogeneous cell population seems to require some novel approaches so that the approaches bridge a gap between molecular events and morphogenesis in developmental and cell biology. A conceptual cell model in a computer may answer that purpose. We constructed a dynamical cell model based on autonomous cell behaviors, including cell shape, growth, division, adhesion, transformation, and motility as well as cell-cell signaling. The model gives some insights about what cellular behaviors make an appropriate global pattern of the cell population.

Results: We applied the model to "inside and outside" pattern of cell-sorting, in which two different embryonic cell types within a randomly mixed aggregate are sorted so that one cell type tends to gather in the central region of the aggregate and the other cell type surrounds the first cell type. Our model can modify the above cell behaviors by varying parameters related to them. We explored various parameter sets with which the "inside and outside" pattern could be achieved. The simulation results suggested that direction of cell movement responding to its neighborhood and the cell's mobility are important for this specific rearrangement.

Conclusion: We constructed an in silico cell model that mimics autonomous cell behaviors and applied it to cell sorting, which is a simple and appropriate phenomenon exhibiting self-organization of cell population. The model could predict directional cell movement and its mobility are important in the "inside and outside" pattern of cell sorting. Those behaviors are altered by signal molecules and consequently affect the global pattern of the cell sorting. Our model is also applicable to other developmental processes beyond cell sorting.

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Concept of autonomous cell movement. (a) Each cell has two states, in stay and in move, for cell movement. A cell in stay is activated by signals from different cell type, and begins to move, changing its state into in move-state. The cell in move continues to move for short periods and then ceases from moving and returns to in stay. (b) Idea of activation mechanism: The signals from different cell types increase an inner state of a cell in stay. If the inner state of the cell exceeds a threshold, the cell in stay is activated and becomes in move-state.
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Figure 2: Concept of autonomous cell movement. (a) Each cell has two states, in stay and in move, for cell movement. A cell in stay is activated by signals from different cell type, and begins to move, changing its state into in move-state. The cell in move continues to move for short periods and then ceases from moving and returns to in stay. (b) Idea of activation mechanism: The signals from different cell types increase an inner state of a cell in stay. If the inner state of the cell exceeds a threshold, the cell in stay is activated and becomes in move-state.

Mentions: In addition to the spatial mechanical interaction between cells, each cell receives signals from neighboring cells. Here, we postulate the signals trigger autonomous directional cell movement. Each cell has two states, in stay and in move, for cell movement. A cell in stay receives signals from neighboring cells (Fig. 2a). The signals from different cell types increase an inner state of the cell in stay, while those from the same cell type as the cell in question do not (Fig. 2b). If the inner state of the cell exceeds a threshold, the cell in stay becomes activated and then begins to move, changing its in stay-state into in move-state. The cell in move continues to move for short periods without receiving signals from neighboring cells. After the short periods, the cell in move ceases from moving and returns to in stay.


Computational cell model based on autonomous cell movement regulated by cell-cell signalling successfully recapitulates the "inside and outside" pattern of cell sorting.

Maeda TT, Ajioka I, Nakajima K - BMC Syst Biol (2007)

Concept of autonomous cell movement. (a) Each cell has two states, in stay and in move, for cell movement. A cell in stay is activated by signals from different cell type, and begins to move, changing its state into in move-state. The cell in move continues to move for short periods and then ceases from moving and returns to in stay. (b) Idea of activation mechanism: The signals from different cell types increase an inner state of a cell in stay. If the inner state of the cell exceeds a threshold, the cell in stay is activated and becomes in move-state.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2100066&req=5

Figure 2: Concept of autonomous cell movement. (a) Each cell has two states, in stay and in move, for cell movement. A cell in stay is activated by signals from different cell type, and begins to move, changing its state into in move-state. The cell in move continues to move for short periods and then ceases from moving and returns to in stay. (b) Idea of activation mechanism: The signals from different cell types increase an inner state of a cell in stay. If the inner state of the cell exceeds a threshold, the cell in stay is activated and becomes in move-state.
Mentions: In addition to the spatial mechanical interaction between cells, each cell receives signals from neighboring cells. Here, we postulate the signals trigger autonomous directional cell movement. Each cell has two states, in stay and in move, for cell movement. A cell in stay receives signals from neighboring cells (Fig. 2a). The signals from different cell types increase an inner state of the cell in stay, while those from the same cell type as the cell in question do not (Fig. 2b). If the inner state of the cell exceeds a threshold, the cell in stay becomes activated and then begins to move, changing its in stay-state into in move-state. The cell in move continues to move for short periods without receiving signals from neighboring cells. After the short periods, the cell in move ceases from moving and returns to in stay.

Bottom Line: Development of multicellular organisms proceeds from a single fertilized egg as the combined effect of countless numbers of cellular interactions among highly dynamic cells.The model gives some insights about what cellular behaviors make an appropriate global pattern of the cell population.The simulation results suggested that direction of cell movement responding to its neighborhood and the cell's mobility are important for this specific rearrangement.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Anatomy, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan. ttmaeda@gsc.riken.jp

ABSTRACT

Background: Development of multicellular organisms proceeds from a single fertilized egg as the combined effect of countless numbers of cellular interactions among highly dynamic cells. Since at least a reminiscent pattern of morphogenesis can be recapitulated in a reproducible manner in reaggregation cultures of dissociated embryonic cells, which is known as cell sorting, the cells themselves must possess some autonomous cell behaviors that assure specific and reproducible self-organization. Understanding of this self-organized dynamics of heterogeneous cell population seems to require some novel approaches so that the approaches bridge a gap between molecular events and morphogenesis in developmental and cell biology. A conceptual cell model in a computer may answer that purpose. We constructed a dynamical cell model based on autonomous cell behaviors, including cell shape, growth, division, adhesion, transformation, and motility as well as cell-cell signaling. The model gives some insights about what cellular behaviors make an appropriate global pattern of the cell population.

Results: We applied the model to "inside and outside" pattern of cell-sorting, in which two different embryonic cell types within a randomly mixed aggregate are sorted so that one cell type tends to gather in the central region of the aggregate and the other cell type surrounds the first cell type. Our model can modify the above cell behaviors by varying parameters related to them. We explored various parameter sets with which the "inside and outside" pattern could be achieved. The simulation results suggested that direction of cell movement responding to its neighborhood and the cell's mobility are important for this specific rearrangement.

Conclusion: We constructed an in silico cell model that mimics autonomous cell behaviors and applied it to cell sorting, which is a simple and appropriate phenomenon exhibiting self-organization of cell population. The model could predict directional cell movement and its mobility are important in the "inside and outside" pattern of cell sorting. Those behaviors are altered by signal molecules and consequently affect the global pattern of the cell sorting. Our model is also applicable to other developmental processes beyond cell sorting.

Show MeSH
Related in: MedlinePlus