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Published on: October 4, 2024
Metabolic dynamics restricted by conserved carriers: Jamming and feedback.
Tetsuhiro S Hatakeyama1, Chikara Furusawa2,3
1Department of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, Meguro-ku, Tokyo, Japan.
This study introduces the carrier cycling cascade (CCC) model to understand metabolic dynamics. The model reveals how conserved quantities cause flux jamming and feedback, leading to robust yet responsive metabolic systems.
Area of Science:
- Systems Biology
- Metabolic Engineering
- Biophysics
Background:
- Understanding cellular physiology requires insight into metabolic dynamics.
- Constraint-based approaches predict metabolic steady states using conserved quantities like ATP/ADP and NADH/NAD+.
- The dynamic impact of these conservation laws on metabolic systems remains incompletely understood.
Purpose of the Study:
- To investigate the dynamics of metabolic systems using a novel model.
- To explore the role of carrier cycling cascades (CCC) in metabolic pathways.
- To analyze how conservation laws influence metabolic flux and feedback.
Main Methods:
- Proposed a carrier cycling cascade (CCC) model incorporating substrate and carrier dynamics.
- Analyzed the effects of conservation laws on flux and feedback within the CCC model.
- Investigated the robustness and responsiveness of the CCC model to environmental and internal fluctuations.
Main Results:
- Demonstrated that conservation laws induce flux jamming and feedback in metabolic systems.
- Showed that the CCC exhibits slow relaxation dynamics, distinct from elementary reaction timescales.
- The CCC model displays robustness against small environmental fluctuations and responsiveness to large changes.
- Identified key parameters conferring robustness against both external and internal fluctuations.
Conclusions:
- The CCC model provides a framework for understanding metabolic dynamics influenced by conserved quantities.
- Metabolic systems exhibit inherent robustness and responsiveness due to conserved moiety dynamics.
- Identified critical parameters for tuning metabolic system stability and adaptability.
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