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Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells

The cell cycle is the fundamental process of cell populations, it is regulated by environmental cues and by intracellular checkpoints. Cell cycle variability in clonal cell population is caused by stochastic processes such as random partitioning of cellular components to progeny cells at division an...

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Autores principales: Mura, Marzena, Feillet, Céline, Bertolusso, Roberto, Delaunay, Franck, Kimmel, Marek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6564046/
https://www.ncbi.nlm.nih.gov/pubmed/31158226
http://dx.doi.org/10.1371/journal.pcbi.1007054
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author Mura, Marzena
Feillet, Céline
Bertolusso, Roberto
Delaunay, Franck
Kimmel, Marek
author_facet Mura, Marzena
Feillet, Céline
Bertolusso, Roberto
Delaunay, Franck
Kimmel, Marek
author_sort Mura, Marzena
collection PubMed
description The cell cycle is the fundamental process of cell populations, it is regulated by environmental cues and by intracellular checkpoints. Cell cycle variability in clonal cell population is caused by stochastic processes such as random partitioning of cellular components to progeny cells at division and random interactions among biomolecules in cells. One of the important biological questions is how the dynamics at the cell cycle scale, which is related to family dependencies between the cell and its descendants, affects cell population behavior in the long-run. We address this question using a “mechanistic” model, built based on observations of single cells over several cell generations, and then extrapolated in time. We used cell pedigree observations of NIH 3T3 cells including FUCCI markers, to determine patterns of inheritance of cell-cycle phase durations and single-cell protein dynamics. Based on that information we developed a hybrid mathematical model, involving bifurcating autoregression to describe stochasticity of partitioning and inheritance of cell-cycle-phase times, and an ordinary differential equation system to capture single-cell protein dynamics. Long-term simulations, concordant with in vitro experiments, demonstrated the model reproduced the main features of our data and had homeostatic properties. Moreover, heterogeneity of cell cycle may have important consequences during population development. We discovered an effect similar to genetic drift, amplified by family relationships among cells. In consequence, the progeny of a single cell with a short cell cycle time had a high probability of eventually dominating the population, due to the heritability of cell-cycle phases. Patterns of epigenetic heritability in proliferating cells are important for understanding long-term trends of cell populations which are either required to provide the influx of maturing cells (such as hematopoietic stem cells) or which started proliferating uncontrollably (such as cancer cells).
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spelling pubmed-65640462019-06-20 Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells Mura, Marzena Feillet, Céline Bertolusso, Roberto Delaunay, Franck Kimmel, Marek PLoS Comput Biol Research Article The cell cycle is the fundamental process of cell populations, it is regulated by environmental cues and by intracellular checkpoints. Cell cycle variability in clonal cell population is caused by stochastic processes such as random partitioning of cellular components to progeny cells at division and random interactions among biomolecules in cells. One of the important biological questions is how the dynamics at the cell cycle scale, which is related to family dependencies between the cell and its descendants, affects cell population behavior in the long-run. We address this question using a “mechanistic” model, built based on observations of single cells over several cell generations, and then extrapolated in time. We used cell pedigree observations of NIH 3T3 cells including FUCCI markers, to determine patterns of inheritance of cell-cycle phase durations and single-cell protein dynamics. Based on that information we developed a hybrid mathematical model, involving bifurcating autoregression to describe stochasticity of partitioning and inheritance of cell-cycle-phase times, and an ordinary differential equation system to capture single-cell protein dynamics. Long-term simulations, concordant with in vitro experiments, demonstrated the model reproduced the main features of our data and had homeostatic properties. Moreover, heterogeneity of cell cycle may have important consequences during population development. We discovered an effect similar to genetic drift, amplified by family relationships among cells. In consequence, the progeny of a single cell with a short cell cycle time had a high probability of eventually dominating the population, due to the heritability of cell-cycle phases. Patterns of epigenetic heritability in proliferating cells are important for understanding long-term trends of cell populations which are either required to provide the influx of maturing cells (such as hematopoietic stem cells) or which started proliferating uncontrollably (such as cancer cells). Public Library of Science 2019-06-03 /pmc/articles/PMC6564046/ /pubmed/31158226 http://dx.doi.org/10.1371/journal.pcbi.1007054 Text en © 2019 Mura et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mura, Marzena
Feillet, Céline
Bertolusso, Roberto
Delaunay, Franck
Kimmel, Marek
Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells
title Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells
title_full Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells
title_fullStr Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells
title_full_unstemmed Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells
title_short Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells
title_sort mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6564046/
https://www.ncbi.nlm.nih.gov/pubmed/31158226
http://dx.doi.org/10.1371/journal.pcbi.1007054
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