Quantitative Studies for Cell-Division Cycle Control
The cell-division cycle (CDC) is driven by cyclin-dependent kinases (CDKs). Mathematical models based on molecular networks, as revealed by molecular and genetic studies, have reproduced the oscillatory behavior of CDK activity. Thus, one basic system for representing the CDC is a biochemical oscill...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2019-08-01
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Series: | Frontiers in Physiology |
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Online Access: | https://www.frontiersin.org/article/10.3389/fphys.2019.01022/full |
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author | Yukinobu Arata Hiroaki Takagi |
author_facet | Yukinobu Arata Hiroaki Takagi |
author_sort | Yukinobu Arata |
collection | DOAJ |
description | The cell-division cycle (CDC) is driven by cyclin-dependent kinases (CDKs). Mathematical models based on molecular networks, as revealed by molecular and genetic studies, have reproduced the oscillatory behavior of CDK activity. Thus, one basic system for representing the CDC is a biochemical oscillator (CDK oscillator). However, genetically clonal cells divide with marked variability in their total duration of a single CDC round, exhibiting non-Gaussian statistical distributions. Therefore, the CDK oscillator model does not account for the statistical nature of cell-cycle control. Herein, we review quantitative studies of the statistical properties of the CDC. Over the past 70 years, studies have shown that the CDC is driven by a cluster of molecular oscillators. The CDK oscillator is coupled to transcriptional and mitochondrial metabolic oscillators, which cause deterministic chaotic dynamics for the CDC. Recent studies in animal embryos have raised the possibility that the dynamics of molecular oscillators underlying CDC control are affected by allometric volume scaling among the cellular compartments. Considering these studies, we discuss the idea that a cluster of molecular oscillators embedded in different cellular compartments coordinates cellular physiology and geometry for successful cell divisions. |
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format | Article |
id | doaj.art-868707950510405c93903c1dc0fac9c3 |
institution | Directory Open Access Journal |
issn | 1664-042X |
language | English |
last_indexed | 2024-04-14T00:55:31Z |
publishDate | 2019-08-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Physiology |
spelling | doaj.art-868707950510405c93903c1dc0fac9c32022-12-22T02:21:37ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2019-08-011010.3389/fphys.2019.01022473556Quantitative Studies for Cell-Division Cycle ControlYukinobu Arata0Hiroaki Takagi1Cellular Informatics Laboratory, RIKEN, Saitama, JapanDepartment of Physics, School of Medicine, Nara Medical University, Nara, JapanThe cell-division cycle (CDC) is driven by cyclin-dependent kinases (CDKs). Mathematical models based on molecular networks, as revealed by molecular and genetic studies, have reproduced the oscillatory behavior of CDK activity. Thus, one basic system for representing the CDC is a biochemical oscillator (CDK oscillator). However, genetically clonal cells divide with marked variability in their total duration of a single CDC round, exhibiting non-Gaussian statistical distributions. Therefore, the CDK oscillator model does not account for the statistical nature of cell-cycle control. Herein, we review quantitative studies of the statistical properties of the CDC. Over the past 70 years, studies have shown that the CDC is driven by a cluster of molecular oscillators. The CDK oscillator is coupled to transcriptional and mitochondrial metabolic oscillators, which cause deterministic chaotic dynamics for the CDC. Recent studies in animal embryos have raised the possibility that the dynamics of molecular oscillators underlying CDC control are affected by allometric volume scaling among the cellular compartments. Considering these studies, we discuss the idea that a cluster of molecular oscillators embedded in different cellular compartments coordinates cellular physiology and geometry for successful cell divisions.https://www.frontiersin.org/article/10.3389/fphys.2019.01022/fullcyclin-dependent kinasecyclintransition probabilitycircadian oscillatorultradian oscillatormetabolic oscillator |
spellingShingle | Yukinobu Arata Hiroaki Takagi Quantitative Studies for Cell-Division Cycle Control Frontiers in Physiology cyclin-dependent kinase cyclin transition probability circadian oscillator ultradian oscillator metabolic oscillator |
title | Quantitative Studies for Cell-Division Cycle Control |
title_full | Quantitative Studies for Cell-Division Cycle Control |
title_fullStr | Quantitative Studies for Cell-Division Cycle Control |
title_full_unstemmed | Quantitative Studies for Cell-Division Cycle Control |
title_short | Quantitative Studies for Cell-Division Cycle Control |
title_sort | quantitative studies for cell division cycle control |
topic | cyclin-dependent kinase cyclin transition probability circadian oscillator ultradian oscillator metabolic oscillator |
url | https://www.frontiersin.org/article/10.3389/fphys.2019.01022/full |
work_keys_str_mv | AT yukinobuarata quantitativestudiesforcelldivisioncyclecontrol AT hiroakitakagi quantitativestudiesforcelldivisioncyclecontrol |