2012
DOI: 10.1007/978-3-642-20164-6_9
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Modelling Oscillator Synchronisation During Vertebrate Axis Segmentation

Abstract: The somitogenesis clock regulates the periodicity with which somites form in the posterior pre-somitic mesoderm. Whilst cell heterogeneity results in noisy oscillation rates amongst constituent cells, synchrony within the population is maintained as oscillators are entrained via juxtracine signalling mechanisms. Here we consider a population of phase-coupled oscillators and investigate how biologically motivated perturbations to the entrained state can perturb synchrony within the population. We find that the … Show more

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Cited by 2 publications
(9 citation statements)
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“…Therefore our results represent a lower bound on the effect of mitosis on the clock. Using the estimated values of T G and T M for zebrafish (see methods for calculation), we find that the presence of cell division creates asynchrony as reported previously ( Murray et al (2013 )), and has no identifiable effect on frequency (figure 6B-C). Fixing T G + T M = 187.5 mins and varying T M shows a T M -dependent trend where synchrony decreases with increasing T M (figure 6E).…”
Section: Resultssupporting
confidence: 70%
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“…Therefore our results represent a lower bound on the effect of mitosis on the clock. Using the estimated values of T G and T M for zebrafish (see methods for calculation), we find that the presence of cell division creates asynchrony as reported previously ( Murray et al (2013 )), and has no identifiable effect on frequency (figure 6B-C). Fixing T G + T M = 187.5 mins and varying T M shows a T M -dependent trend where synchrony decreases with increasing T M (figure 6E).…”
Section: Resultssupporting
confidence: 70%
“…As previous models of mitosis and the segmentation clock have been two-dimensional and therefore may not quantitatively recapture the cell mixing and geometry present in zebrafish ( Murray et al (2013 , 2019)), we sought to investigate the effect of mitosis in the presence of the more accurate three-dimensional geometry and cell mixing. To do so, we simulated cell division by assigning each cell a cell cycle phase Ο„ that increases at a constant rate of 1 min βˆ’1 , and spawning a new cell adjacent to that cell once that its Ο„ β‰₯ T G + T M , where T G denotes the total time in minutes to complete G1, S, and G2 phases of the cell cycle, and T M denotes the time spent in M phase, in minutes.…”
Section: Resultsmentioning
confidence: 99%
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