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 |