Mathematical modeling accurately predicts the dynamics and scaling of nuclear growth in discrete cytoplasmic volumes
Hazel, James W.
Gatlin, Jesse C.
Lindsay, Alan E.
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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.
© The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Leech, V., Hazel, J. W., Gatlin, J. C., Lindsay, A. E., & Manhart, A. Mathematical modeling accurately predicts the dynamics and scaling of nuclear growth in discrete cytoplasmic volumes. Journal of Theoretical Biology, 533, (2022): 110936, https://doi.org/10.1016/j.jtbi.2021.110936.
Suggested CitationLeech, V., Hazel, J. W., Gatlin, J. C., Lindsay, A. E., & Manhart, A. (2022). Mathematical modeling accurately predicts the dynamics and scaling of nuclear growth in discrete cytoplasmic volumes. Journal of Theoretical Biology, 533, 110936.
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