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dc.contributor.authorCampanelli, Mark
dc.contributor.authorGedeon, Tomáš
dc.date.accessioned2016-02-02T23:41:59Z
dc.date.available2016-02-02T23:41:59Z
dc.date.issued2010-04
dc.identifier.citationM. Campanelli and T. Gedeon, “Somitogenesis clock-wave initiation requires differential decay and multiple binding sites for clock protein”, PLoS Comp. Biol. 6(4), e1000728, (April 2010).en_US
dc.identifier.issn1553-734X
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/9528
dc.description.abstractSomitogenesis is a process common to all vertebrate embryos in which repeated blocks of cells arise from the presomitic mesoderm (PSM) to lay a foundational pattern for trunk and tail development. Somites form in the wake of passing waves of periodic gene expression that originate in the tailbud and sweep posteriorly across the PSM. Previous work has suggested that the waves result from a spatiotemporally graded control protein that affects the oscillation rate of clock-gene expression. With a minimally constructed mathematical model, we study the contribution of two control mechanisms to the initial formation of this gene-expression wave. We test four biologically motivated model scenarios with either one or two clock protein transcription binding sites, and with or without differential decay rates for clock protein monomers and dimers. We examine the sensitivity of wave formation with respect to multiple model parameters and robustness to heterogeneity in cell population. We find that only a model with both multiple binding sites and differential decay rates is able to reproduce experimentally observed waveforms. Our results show that the experimentally observed characteristics of somitogenesis wave initiation constrain the underlying genetic control mechanisms.en_US
dc.rightsCC BY 4.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.titleSomitogenesis clock-wave initiation requires differential decay and multiple binding sites for clock proteinen_US
dc.typeArticleen_US
mus.citation.extentfirstpagee10000728en_US
mus.citation.issue4en_US
mus.citation.journaltitlePloS Computational Biologyen_US
mus.citation.volume6en_US
mus.identifier.categoryPhysics & Mathematicsen_US
mus.identifier.doi10.1371/journal.pcbi.1000728en_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentMathematical Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.data.thumbpage6en_US


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