Modeling circadian clock–cell cycle interaction effects on cell population growth rates
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...
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Veröffentlicht in: | Journal of theoretical biology 2014-12, Vol.363, p.318-331 |
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description | 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 24h and above 48h. 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 21h 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.
•We develop a mathematical model for cell cycle–circadian clock coupling.•We characterize multiple regions of cell cycle entrainment by the circadian clock.•Influence of coupling on cell proliferation is studied.•Coupling increases growth rate for cell cycle period around 24h and >48h.•Effects of mutating clock genes on the growth rate are studied. |
doi_str_mv | 10.1016/j.jtbi.2014.08.008 |
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•We develop a mathematical model for cell cycle–circadian clock coupling.•We characterize multiple regions of cell cycle entrainment by the circadian clock.•Influence of coupling on cell proliferation is studied.•Coupling increases growth rate for cell cycle period around 24h and >48h.•Effects of mutating clock genes on the growth rate are studied.</description><identifier>ISSN: 0022-5193</identifier><identifier>EISSN: 1095-8541</identifier><identifier>DOI: 10.1016/j.jtbi.2014.08.008</identifier><identifier>PMID: 25152215</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Age-structured equations ; ARNTL Transcription Factors - genetics ; Cell Cycle - physiology ; Cell Cycle Proteins - metabolism ; Cell Proliferation - physiology ; Chronotherapy ; Chronotherapy - methods ; Circadian Clocks - genetics ; Circadian Clocks - physiology ; Cryptochromes - genetics ; Dynamical Systems ; Gene Expression Regulation - genetics ; Gene Expression Regulation - physiology ; Humans ; Mathematics ; Models, Theoretical ; Mutation - genetics ; Nuclear Proteins - metabolism ; Period Circadian Proteins - genetics ; Protein-Tyrosine Kinases - metabolism ; Time Factors</subject><ispartof>Journal of theoretical biology, 2014-12, Vol.363, p.318-331</ispartof><rights>2014 Elsevier Ltd</rights><rights>Copyright © 2014 Elsevier Ltd. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c467t-9f75ac4f242bbdcfc71181ec9bc9f8d8098ac6d96add96d0a89482d68ef73c323</citedby><cites>FETCH-LOGICAL-c467t-9f75ac4f242bbdcfc71181ec9bc9f8d8098ac6d96add96d0a89482d68ef73c323</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jtbi.2014.08.008$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25152215$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01055081$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>El Cheikh, R.</creatorcontrib><creatorcontrib>Bernard, S.</creatorcontrib><creatorcontrib>El Khatib, N.</creatorcontrib><title>Modeling circadian clock–cell cycle interaction effects on cell population growth rates</title><title>Journal of theoretical biology</title><addtitle>J Theor Biol</addtitle><description>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 24h and above 48h. 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 21h 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.
•We develop a mathematical model for cell cycle–circadian clock coupling.•We characterize multiple regions of cell cycle entrainment by the circadian clock.•Influence of coupling on cell proliferation is studied.•Coupling increases growth rate for cell cycle period around 24h and >48h.•Effects of mutating clock genes on the growth rate are studied.</description><subject>Age-structured equations</subject><subject>ARNTL Transcription Factors - genetics</subject><subject>Cell Cycle - physiology</subject><subject>Cell Cycle Proteins - metabolism</subject><subject>Cell Proliferation - physiology</subject><subject>Chronotherapy</subject><subject>Chronotherapy - methods</subject><subject>Circadian Clocks - genetics</subject><subject>Circadian Clocks - physiology</subject><subject>Cryptochromes - genetics</subject><subject>Dynamical Systems</subject><subject>Gene Expression Regulation - genetics</subject><subject>Gene Expression Regulation - physiology</subject><subject>Humans</subject><subject>Mathematics</subject><subject>Models, Theoretical</subject><subject>Mutation - genetics</subject><subject>Nuclear Proteins - metabolism</subject><subject>Period Circadian Proteins - genetics</subject><subject>Protein-Tyrosine Kinases - metabolism</subject><subject>Time Factors</subject><issn>0022-5193</issn><issn>1095-8541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkcFu1DAQhi1ERZfCC3BAOdJDwtixE1viUlVAkRb1AgdOljO2Wy_ZeLGzRb31HXhDngSnW3pEXGzL_ubXeD5CXlFoKNDu7abZzENoGFDegGwA5BOyoqBELQWnT8kKgLFaUNUek-c5bwBA8bZ7Ro6ZoIIxKlbk2-do3RimqwpDQmODmSocI37_ffcL3ThWeIujq8I0u2RwDnGqnPcO51yV4z2xi7v9aO6frlL8OV9XycwuvyBH3ozZvXzYT8jXD--_nF_U68uPn87P1jXyrp9r5XthkHvG2TBY9NhTKqlDNaDy0kpQ0mBnVWdsWSwYqbhktpPO9y22rD0hp4fcazPqXQpbk251NEFfnK31cgcUhABJb2hh3xzYXYo_9i7Pehvy8gkzubjPmnaiNMVYL_8DbTnrecehoOyAYoo5J-cf26CgF1N6oxdTejGlQepiqhS9fsjfD1tnH0v-qinAuwPgyvBugks6Y3ATOhtSmb-2Mfwr_w9zxqWf</recordid><startdate>20141221</startdate><enddate>20141221</enddate><creator>El Cheikh, R.</creator><creator>Bernard, S.</creator><creator>El Khatib, N.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>1XC</scope><scope>VOOES</scope></search><sort><creationdate>20141221</creationdate><title>Modeling circadian clock–cell cycle interaction effects on cell population growth rates</title><author>El Cheikh, R. ; Bernard, S. ; El Khatib, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c467t-9f75ac4f242bbdcfc71181ec9bc9f8d8098ac6d96add96d0a89482d68ef73c323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Age-structured equations</topic><topic>ARNTL Transcription Factors - genetics</topic><topic>Cell Cycle - physiology</topic><topic>Cell Cycle Proteins - metabolism</topic><topic>Cell Proliferation - physiology</topic><topic>Chronotherapy</topic><topic>Chronotherapy - methods</topic><topic>Circadian Clocks - genetics</topic><topic>Circadian Clocks - physiology</topic><topic>Cryptochromes - genetics</topic><topic>Dynamical Systems</topic><topic>Gene Expression Regulation - genetics</topic><topic>Gene Expression Regulation - physiology</topic><topic>Humans</topic><topic>Mathematics</topic><topic>Models, Theoretical</topic><topic>Mutation - genetics</topic><topic>Nuclear Proteins - metabolism</topic><topic>Period Circadian Proteins - genetics</topic><topic>Protein-Tyrosine Kinases - metabolism</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>El Cheikh, R.</creatorcontrib><creatorcontrib>Bernard, S.</creatorcontrib><creatorcontrib>El Khatib, N.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Journal of theoretical biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>El Cheikh, R.</au><au>Bernard, S.</au><au>El Khatib, N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling circadian clock–cell cycle interaction effects on cell population growth rates</atitle><jtitle>Journal of theoretical biology</jtitle><addtitle>J Theor Biol</addtitle><date>2014-12-21</date><risdate>2014</risdate><volume>363</volume><spage>318</spage><epage>331</epage><pages>318-331</pages><issn>0022-5193</issn><eissn>1095-8541</eissn><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 24h and above 48h. 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 21h 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.
•We develop a mathematical model for cell cycle–circadian clock coupling.•We characterize multiple regions of cell cycle entrainment by the circadian clock.•Influence of coupling on cell proliferation is studied.•Coupling increases growth rate for cell cycle period around 24h and >48h.•Effects of mutating clock genes on the growth rate are studied.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>25152215</pmid><doi>10.1016/j.jtbi.2014.08.008</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Age-structured equations ARNTL Transcription Factors - genetics Cell Cycle - physiology Cell Cycle Proteins - metabolism Cell Proliferation - physiology Chronotherapy Chronotherapy - methods Circadian Clocks - genetics Circadian Clocks - physiology Cryptochromes - genetics Dynamical Systems Gene Expression Regulation - genetics Gene Expression Regulation - physiology Humans Mathematics Models, Theoretical Mutation - genetics Nuclear Proteins - metabolism Period Circadian Proteins - genetics Protein-Tyrosine Kinases - metabolism Time Factors |
title | Modeling circadian clock–cell cycle interaction effects on cell population growth rates |
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