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Modeling circadian clock–cell cycle interaction effects on cell population growth rates

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dc.contributor.author El Khatib, N.
dc.contributor.author El Cheikh, R.
dc.contributor.author Bernard, S.
dc.date.accessioned 2016-12-06T10:58:51Z
dc.date.available 2016-12-06T10:58:51Z
dc.date.copyright 2014 en_US
dc.date.issued 2016-12-06
dc.identifier.issn 0022-5193 en_US
dc.identifier.uri http://hdl.handle.net/10725/4885
dc.description.abstract The circadian clock and the cell cycle are two tightly coupled oscillators. Recent analytical studies have shown counter-intuitive effects of circadian gating of the cell cycle on growth rates of proliferating cells which cannot be explained by a molecular model or a population model alone. In this work, we present a combined molecular-population model that studies how coupling the circadian clock to the cell cycle, through the protein WEE1, affects a proliferating cell population. We show that the cell cycle can entrain to the circadian clock with different rational period ratios and characterize multiple domains of entrainment. We show that coupling increases the growth rate for autonomous periods of the cell cycle around 24 h and above 48 h. We study the effect of mutation of circadian genes on the growth rate of cells and show that disruption of the circadian clock can lead to abnormal proliferation. Particularly, we show that Cry 1, Cry 2 mutations decrease the growth rate of cells, Per 2 mutation enhances it and Bmal 1 knockout increases it for autonomous periods of the cell cycle less than 21 h and decreases it elsewhere. Combining a molecular model to a population model offers new insight on the influence of the circadian clock on the growth of a cell population. This can help chronotherapy which takes benefits of physiological rhythms to improve anti-cancer efficacy and tolerance to drugs by administering treatments at a specific time of the day. en_US
dc.language.iso en en_US
dc.title Modeling circadian clock–cell cycle interaction effects on cell population growth rates en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SAS en_US
dc.author.idnumber 201104930 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.relation.journal Journal of Theoretical Biology en_US
dc.journal.volume 363 en_US
dc.journal.issue 21 en_US
dc.article.pages 318-331 en_US
dc.keywords Chronotherapy en_US
dc.keywords Age-structured equations en_US
dc.identifier.doi http://dx.doi.org/10.1016/j.jtbi.2014.08.008 en_US
dc.identifier.ctation El Cheikh, R., Bernard, S., & El Khatib, N. (2014). Modeling circadian clock–cell cycle interaction effects on cell population growth rates. Journal of theoretical biology, 363, 318-331. en_US
dc.author.email nader.elkhatib@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S0022519314004561 en_US
dc.author.affiliation Lebanese American University en_US


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