In:
PLOS Computational Biology, Public Library of Science (PLoS), Vol. 18, No. 2 ( 2022-2-18), p. e1009400-
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.
Type of Medium:
Online Resource
ISSN:
1553-7358
DOI:
10.1371/journal.pcbi.1009400
DOI:
10.1371/journal.pcbi.1009400.g001
DOI:
10.1371/journal.pcbi.1009400.g002
DOI:
10.1371/journal.pcbi.1009400.g003
DOI:
10.1371/journal.pcbi.1009400.g004
DOI:
10.1371/journal.pcbi.1009400.g005
DOI:
10.1371/journal.pcbi.1009400.g006
DOI:
10.1371/journal.pcbi.1009400.g007
DOI:
10.1371/journal.pcbi.1009400.g008
DOI:
10.1371/journal.pcbi.1009400.t001
DOI:
10.1371/journal.pcbi.1009400.t002
DOI:
10.1371/journal.pcbi.1009400.s001
DOI:
10.1371/journal.pcbi.1009400.s002
DOI:
10.1371/journal.pcbi.1009400.s003
DOI:
10.1371/journal.pcbi.1009400.s004
DOI:
10.1371/journal.pcbi.1009400.s005
DOI:
10.1371/journal.pcbi.1009400.r001
DOI:
10.1371/journal.pcbi.1009400.r002
DOI:
10.1371/journal.pcbi.1009400.r003
DOI:
10.1371/journal.pcbi.1009400.r004
DOI:
10.1371/journal.pcbi.1009400.r005
DOI:
10.1371/journal.pcbi.1009400.r006
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2193340-6
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