ArticlePLoS computational biology2022
The correlation between cell and nucleus size is explained by an eukaryotic cell growth model.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
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- Single-cell transcriptomic atlas of frontoinsular cortex reveals molecular correlates of selective neuronal vulnerability in FTD.bioRxiv : the preprint server for biology · 2026Article
- Getting nuclear size just right - emerging mechanisms regulating nuclear scaling and morphology.Journal of cell science · 2026Review
- Generalizable, high-throughput image analysis of subcellular structures using dispersion indices.iScience · 2026Article
- Nuclear Mechanics and Nuclear Mechanotransduction in Cancer Cell Migration and Invasion.Biomolecules · 2026Review
- Geranylgeranyl Transferase Inhibitors Mitigate Intestinal Radiation Toxicity.International journal of radiation oncology, biology, physics · 2026Article
- Stochasticity in mammalian cell growth rates drives cell-to-cell variability independently of cell size and divisions.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Morphological specializations of mosquito COProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Highly multiplexed 3D profiling of cell states and immune niches in human tumors.Nature methods · 2025Article
- Role of nuclear ATPases in nuclear mechanics and cell migration through confined spaces: opposite effects of BRG1 and cohesin.bioRxiv : the preprint server for biology · 2025Article
- MAPK and mTORC1 signaling converge to drive cyclin D1 protein production to enable cell cycle reentry in melanoma persister cells.Science signaling · 2025Article
- Cells prioritize the regulation of cell mass density.Science advances · 2025Article
- Phenotypic Changes and Oxidative Stress in THP-1 Macrophages in Response to Vanilloids Following Stimulation with Allergen Act d 1 and LPS.Antioxidants (Basel, Switzerland) · 2025Article
- An Insight into Cancer Cells and Disease Progression Through the Lens of Mathematical Modeling.Current issues in molecular biology · 2025Review
- Metabolically intact nuclei are fluidized by the activity of the chromatin remodeling motor BRG1.Biophysical journal · 2025Article
- Suppressed Protein Translation Caused by MSP-8 Deficiency Determines Fungal Multidrug Resistance with Fitness Cost.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Unifying fragmented perspectives with additive deep learning for high-dimensional models from partial faceted datasets.npj biological physics and mechanics · 2025Article
- Cytoskeletal activation of NHE1 regulates mechanosensitive cell volume adaptation and proliferation.Cell reports · 2024Article
- Review
- Optimising in-cell NMR acquisition for nucleic acids.Journal of biomolecular NMR · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.