Leech, V;
Hazel, JW;
Gatlin, JC;
Lindsay, AE;
Manhart, A;
(2021)
Mathematical modeling accurately predicts the dynamics and scaling of nuclear growth in discrete cytoplasmic volumes.
Journal of Theoretical Biology
, Article 110936. 10.1016/j.jtbi.2021.110936.
(In press).
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Abstract
Scaling of nuclear size with cell size has been observed in many species and cell types. In this work we formulate a modeling framework based on the limiting component hypothesis. We derive a family of spatio-temporal mathematical models for nuclear size determination based on different transport and growth mechanisms. We analyse model properties and use in vitro experimental data to identify the most probable mechanism. This suggests that nuclear volume scales with cell volume and that a nucleus controls its import rate as it grows. We further test the model by comparing to data of early frog development, where rapid cell divisions set the relevant time scales.
Type: | Article |
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Title: | Mathematical modeling accurately predicts the dynamics and scaling of nuclear growth in discrete cytoplasmic volumes |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.jtbi.2021.110936 |
Publisher version: | https://doi.org/10.1016/j.jtbi.2021.110936 |
Language: | English |
Additional information: | This version is the author accepted manuscript, avaiable under the Creative Commons Attribution 4.0 International |
Keywords: | Free boundary problems, Nuclear Growth, Partial differential equations |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10137188 |
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