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Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
Published on: June 9, 2023
Boolean network model predicts cell cycle sequence of fission yeast.
Maria I Davidich1, Stefan Bornholdt
1Institut für Theoretische Physik, Universität Bremen, Bremen, Germany.
A Boolean network model of fission yeast (Schizosaccharomyces Pombe) cell cycle reveals robust regulation without parameters. The model accurately simulates protein activity and shows the G1 state as a dominant attractor.
Area of Science:
- Systems biology
- Computational biology
- Cell cycle regulation
Background:
- The cell cycle is a fundamental biological process crucial for cell division and organism development.
- Understanding the regulatory networks governing the cell cycle is key to deciphering cellular behavior and disease mechanisms.
- Existing models often rely on differential equations and numerous parameters, limiting insights into network topology's role.
Purpose of the Study:
- To construct a Boolean network model of the fission yeast (Schizosaccharomyces Pombe) cell-cycle regulatory network based solely on biochemical interaction topology.
- To simulate the model and compare its dynamics with known cell cycle progression in living cells.
- To investigate the robustness of cell cycle regulation and compare fission yeast dynamics with that of Saccharomyces cerevisiae.
Main Methods:
- Development of a Boolean network model using only the known biochemical interaction topology of the fission yeast cell-cycle regulatory network.
- Computer simulation of the Boolean model to reproduce the temporal sequence of regulatory protein activity during the cell cycle.
- Analysis of dynamical properties, including attractors and trajectories, and comparison with a similar model in Saccharomyces cerevisiae.
Main Results:
- The Boolean model successfully reproduced the known activity sequence of regulatory proteins in the fission yeast cell cycle without using any parameters.
- The model's dynamics demonstrated that the biological sequence is robustly implemented, with the G1 state as the dominant attractor and the cell cycle sequence as an attractive trajectory.
- A significant difference in circuitry and dynamics was observed when compared to a Saccharomyces cerevisiae model; fission yeast operates as an auto-excited system, unlike the damped system of S. cerevisiae.
Conclusions:
- Boolean network modeling, based purely on network topology, can faithfully represent complex biological dynamics like the cell cycle.
- The fission yeast cell-cycle network possesses inherent robustness, with its structure dictating a stable and predictable progression through cell cycle phases.
- Comparative analysis highlights distinct strategies employed by different yeast species in cell cycle regulation, suggesting evolutionary divergence in network architecture and dynamics.
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