{"title":"Coupling between the cell cycle and the circadian clock: Lessons from computational modelling and consequences for cancer chronotherapy","authors":"Didier Gonze","doi":"10.1016/j.coisb.2024.100507","DOIUrl":null,"url":null,"abstract":"<div><p>Chronotherapy aims at optimising the time of day and dosing of drugs administration. This is a promising perspective because the toxicity and efficacy of many drugs show a dependence on the time of the day at which they are administrated. Efficient cancer chronotherapy requires a good understanding of the interplay between the cell cycle and the circadian clock. Computational models offer a way to study the dynamics resulting from the coupling between these two biological oscillators and to predict successful therapeutic protocols. We review here recent advances and highlight key challenges for further developments of predictive mathematical models.</p></div>","PeriodicalId":37400,"journal":{"name":"Current Opinion in Systems Biology","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Systems Biology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452310024000039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Chronotherapy aims at optimising the time of day and dosing of drugs administration. This is a promising perspective because the toxicity and efficacy of many drugs show a dependence on the time of the day at which they are administrated. Efficient cancer chronotherapy requires a good understanding of the interplay between the cell cycle and the circadian clock. Computational models offer a way to study the dynamics resulting from the coupling between these two biological oscillators and to predict successful therapeutic protocols. We review here recent advances and highlight key challenges for further developments of predictive mathematical models.
期刊介绍:
Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution