Open Access
Open access
volume 18 issue 2 pages e1009400

The correlation between cell and nucleus size is explained by an eukaryotic cell growth model

Publication typeJournal Article
Publication date2022-02-18
scimago Q1
wos Q1
SJR1.503
CiteScore7.2
Impact factor3.6
ISSN1553734X, 15537358
Molecular Biology
Genetics
Computational Theory and Mathematics
Cellular and Molecular Neuroscience
Ecology, Evolution, Behavior and Systematics
Ecology
Modeling and Simulation
Abstract

In eukaryotes, the cell volume is observed to be strongly correlated with the nuclear volume. The slope of this correlation depends on the cell type, growth condition, and the physical environment of the cell. We develop a computational model of cell growth and proteome increase, incorporating the kinetics of amino acid import, protein/ribosome synthesis and degradation, and active transport of proteins between the cytoplasm and the nucleoplasm. We also include a simple model of ribosome biogenesis and assembly. Results show that the cell volume is tightly correlated with the nuclear volume, and the cytoplasm-nucleoplasm transport rates strongly influence the cell growth rate as well as the cell/nucleus volume ratio (C/N ratio). Ribosome assembly and the ratio of ribosomal proteins to mature ribosomes also influence the cell volume and the cell growth rate. We find that in order to regulate the cell growth rate and the cell/nucleus volume ratio, the cell must optimally control groups of kinetic and transport parameters together, which could explain the quantitative roles of canonical growth pathways. Finally, although not explicitly demonstrated in this work, we point out that it is possible to construct a detailed proteome distribution using our model and RNAseq data, provided that a quantitative cell division mechanism is known.

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GOST |
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GOST Copy
Wu Y. et al. The correlation between cell and nucleus size is explained by an eukaryotic cell growth model // PLoS Computational Biology. 2022. Vol. 18. No. 2. p. e1009400.
GOST all authors (up to 50) Copy
Wu Y., Pegoraro A. F., Weitz D. A., Janmey P. A., Sun S. X. The correlation between cell and nucleus size is explained by an eukaryotic cell growth model // PLoS Computational Biology. 2022. Vol. 18. No. 2. p. e1009400.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1371/journal.pcbi.1009400
UR - https://doi.org/10.1371/journal.pcbi.1009400
TI - The correlation between cell and nucleus size is explained by an eukaryotic cell growth model
T2 - PLoS Computational Biology
AU - Wu, Yufei
AU - Pegoraro, Adrian F
AU - Weitz, D. A.
AU - Janmey, Paul A.
AU - Sun, Sean X.
PY - 2022
DA - 2022/02/18
PB - Public Library of Science (PLoS)
SP - e1009400
IS - 2
VL - 18
PMID - 35180215
SN - 1553-734X
SN - 1553-7358
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Wu,
author = {Yufei Wu and Adrian F Pegoraro and D. A. Weitz and Paul A. Janmey and Sean X. Sun},
title = {The correlation between cell and nucleus size is explained by an eukaryotic cell growth model},
journal = {PLoS Computational Biology},
year = {2022},
volume = {18},
publisher = {Public Library of Science (PLoS)},
month = {feb},
url = {https://doi.org/10.1371/journal.pcbi.1009400},
number = {2},
pages = {e1009400},
doi = {10.1371/journal.pcbi.1009400}
}
MLA
Cite this
MLA Copy
Wu, Yufei, et al. “The correlation between cell and nucleus size is explained by an eukaryotic cell growth model.” PLoS Computational Biology, vol. 18, no. 2, Feb. 2022, p. e1009400. https://doi.org/10.1371/journal.pcbi.1009400.