Abstract
The present study focused on beating synchronization, and tried to elucidate the interlayer regulatory mechanisms between the cells and clump in beating synchronization with using the stochastic simulations which realize the beating synchronizations in beating cells with low cell-cell conductance. Firstly, the fluctuation in interbeat intervals (IBIs) of beating cells encouraged the process of beating synchronization, which was identified as the stochastic resonance. Secondly, fluctuation in the synchronized IBIs of a clump decreased as the number of beating cells increased. The decrease in IBI fluctuation due to clump formation implied both a decline of the electrophysiological plasticity of each beating cell and an enhancement of the electrophysiological stability of the clump. These findings were identified as the community effects. Because IBI fluctuation and the community effect facilitated the beating stability of the cell and clump, these factors contributed to the spontaneous ordering in beating synchronization. Thirdly, the cellular layouts in clump affected the synchronized beating rhythms. The synchronized beating rhythm in clump was implicitly regulated by a complicated synergistic effect among IBI fluctuation of each beating cell, the community effect and the cellular layout. This finding was indispensable for leading an elucidation of mechanism of emergence. The stochastic simulations showed the necessity of considering the synergistic effect, to elucidate the interlayer regulatory mechanisms in biological system.
| Original language | English |
|---|---|
| Pages (from-to) | 208-215 |
| Number of pages | 8 |
| Journal | BioSystems |
| Volume | 111 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2013 Mar |
| Externally published | Yes |
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Keywords
- Beating synchronization
- Community effect
- Emergence
- Fluctuation
- Stochastic resonance
- Stochastic simulation
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Applied Mathematics
- Modelling and Simulation
- Statistics and Probability
Cite this
Exploring the implicit interlayer regulatory mechanism between cells and tissue : Stochastic mathematical analyses of the spontaneous ordering in beating synchronization. / Hamada, Hiroyuki; Nomura, Fumimasa; Kaneko, Tomoyuki; Yasuda, Kenji; Okamoto, Masahiro.
In: BioSystems, Vol. 111, No. 3, 03.2013, p. 208-215.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Exploring the implicit interlayer regulatory mechanism between cells and tissue
T2 - Stochastic mathematical analyses of the spontaneous ordering in beating synchronization
AU - Hamada, Hiroyuki
AU - Nomura, Fumimasa
AU - Kaneko, Tomoyuki
AU - Yasuda, Kenji
AU - Okamoto, Masahiro
PY - 2013/3
Y1 - 2013/3
N2 - The present study focused on beating synchronization, and tried to elucidate the interlayer regulatory mechanisms between the cells and clump in beating synchronization with using the stochastic simulations which realize the beating synchronizations in beating cells with low cell-cell conductance. Firstly, the fluctuation in interbeat intervals (IBIs) of beating cells encouraged the process of beating synchronization, which was identified as the stochastic resonance. Secondly, fluctuation in the synchronized IBIs of a clump decreased as the number of beating cells increased. The decrease in IBI fluctuation due to clump formation implied both a decline of the electrophysiological plasticity of each beating cell and an enhancement of the electrophysiological stability of the clump. These findings were identified as the community effects. Because IBI fluctuation and the community effect facilitated the beating stability of the cell and clump, these factors contributed to the spontaneous ordering in beating synchronization. Thirdly, the cellular layouts in clump affected the synchronized beating rhythms. The synchronized beating rhythm in clump was implicitly regulated by a complicated synergistic effect among IBI fluctuation of each beating cell, the community effect and the cellular layout. This finding was indispensable for leading an elucidation of mechanism of emergence. The stochastic simulations showed the necessity of considering the synergistic effect, to elucidate the interlayer regulatory mechanisms in biological system.
AB - The present study focused on beating synchronization, and tried to elucidate the interlayer regulatory mechanisms between the cells and clump in beating synchronization with using the stochastic simulations which realize the beating synchronizations in beating cells with low cell-cell conductance. Firstly, the fluctuation in interbeat intervals (IBIs) of beating cells encouraged the process of beating synchronization, which was identified as the stochastic resonance. Secondly, fluctuation in the synchronized IBIs of a clump decreased as the number of beating cells increased. The decrease in IBI fluctuation due to clump formation implied both a decline of the electrophysiological plasticity of each beating cell and an enhancement of the electrophysiological stability of the clump. These findings were identified as the community effects. Because IBI fluctuation and the community effect facilitated the beating stability of the cell and clump, these factors contributed to the spontaneous ordering in beating synchronization. Thirdly, the cellular layouts in clump affected the synchronized beating rhythms. The synchronized beating rhythm in clump was implicitly regulated by a complicated synergistic effect among IBI fluctuation of each beating cell, the community effect and the cellular layout. This finding was indispensable for leading an elucidation of mechanism of emergence. The stochastic simulations showed the necessity of considering the synergistic effect, to elucidate the interlayer regulatory mechanisms in biological system.
KW - Beating synchronization
KW - Community effect
KW - Emergence
KW - Fluctuation
KW - Stochastic resonance
KW - Stochastic simulation
UR - http://www.scopus.com/inward/record.url?scp=84875275474&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875275474&partnerID=8YFLogxK
U2 - 10.1016/j.biosystems.2013.02.007
DO - 10.1016/j.biosystems.2013.02.007
M3 - Article
C2 - 23454354
AN - SCOPUS:84875275474
VL - 111
SP - 208
EP - 215
JO - BioSystems
JF - BioSystems
SN - 0303-2647
IS - 3
ER -