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Modeling epigenetic regulation of PRC1 protein accumulation in the cell cycle
BACKGROUND: Epigenetic regulation contributes to many important processes in biological cells. Examples include developmental processes, differentiation and maturation of stem cells, evolution of malignancy and other. Cell cycle regulation has been subject of mathematical modeling by a number of aut...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4603771/ https://www.ncbi.nlm.nih.gov/pubmed/26458878 http://dx.doi.org/10.1186/s13062-015-0078-1 |
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author | Dolbniak, Marzena Kimmel, Marek Smieja, Jaroslaw |
author_facet | Dolbniak, Marzena Kimmel, Marek Smieja, Jaroslaw |
author_sort | Dolbniak, Marzena |
collection | PubMed |
description | BACKGROUND: Epigenetic regulation contributes to many important processes in biological cells. Examples include developmental processes, differentiation and maturation of stem cells, evolution of malignancy and other. Cell cycle regulation has been subject of mathematical modeling by a number of authors that resulted in many interesting models and application of analytic techniques ranging from stochastic processes to partial differential equations and to integral, functional and operator equations. In this paper we address the question of how the regulation of protein contents influences the long-term dynamics of the population. To accomplish this, we follow the philosophy of a 1984 model by Kimmel et al., but adjust the details to fit the experimental data on protein PRC1 from a more recent paper. RESULTS: We built a model of cell cycle dynamics of the PRC1 and fitted it to the data made available by Cohen and his co-authors. We have run the model for a large number of cell generations, recording the PRC1 contents in all cells of the resulting pedigree, at constant time intervals. During cell division the PRC1 is unequally divided between daughter cells. The picture emerging from simulations of Data set 1 is that of a very well-tuned regulatory circuit that provides a stable distribution of PRC1 contents and interdivision times. Data set 2 seems qualitatively different, with more variation in cell cycle duration. CONCLUSIONS: The main question we address is whether the regulatory feedbacks deduced from single cell cycle data provide epigenetic regulation of cell characteristics in long run. PRC1 is a good candidate because of its role in setting timing of division. Findings of the current paper include tight regulation of the cell cycle (particularly the timing of the cell cycle) even that PRC1 is only one of the players in cell dynamics. Understanding that association, even close, does not necessarily imply causation, we consider this an interesting and important result. REVIEWERS: This article was reviewed by Ollivier Hyrien, Anna Marciniak-Czochra and Alberto d’Onofrio. |
format | Online Article Text |
id | pubmed-4603771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46037712015-10-14 Modeling epigenetic regulation of PRC1 protein accumulation in the cell cycle Dolbniak, Marzena Kimmel, Marek Smieja, Jaroslaw Biol Direct Research BACKGROUND: Epigenetic regulation contributes to many important processes in biological cells. Examples include developmental processes, differentiation and maturation of stem cells, evolution of malignancy and other. Cell cycle regulation has been subject of mathematical modeling by a number of authors that resulted in many interesting models and application of analytic techniques ranging from stochastic processes to partial differential equations and to integral, functional and operator equations. In this paper we address the question of how the regulation of protein contents influences the long-term dynamics of the population. To accomplish this, we follow the philosophy of a 1984 model by Kimmel et al., but adjust the details to fit the experimental data on protein PRC1 from a more recent paper. RESULTS: We built a model of cell cycle dynamics of the PRC1 and fitted it to the data made available by Cohen and his co-authors. We have run the model for a large number of cell generations, recording the PRC1 contents in all cells of the resulting pedigree, at constant time intervals. During cell division the PRC1 is unequally divided between daughter cells. The picture emerging from simulations of Data set 1 is that of a very well-tuned regulatory circuit that provides a stable distribution of PRC1 contents and interdivision times. Data set 2 seems qualitatively different, with more variation in cell cycle duration. CONCLUSIONS: The main question we address is whether the regulatory feedbacks deduced from single cell cycle data provide epigenetic regulation of cell characteristics in long run. PRC1 is a good candidate because of its role in setting timing of division. Findings of the current paper include tight regulation of the cell cycle (particularly the timing of the cell cycle) even that PRC1 is only one of the players in cell dynamics. Understanding that association, even close, does not necessarily imply causation, we consider this an interesting and important result. REVIEWERS: This article was reviewed by Ollivier Hyrien, Anna Marciniak-Czochra and Alberto d’Onofrio. BioMed Central 2015-10-12 /pmc/articles/PMC4603771/ /pubmed/26458878 http://dx.doi.org/10.1186/s13062-015-0078-1 Text en © Dolbniak et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Dolbniak, Marzena Kimmel, Marek Smieja, Jaroslaw Modeling epigenetic regulation of PRC1 protein accumulation in the cell cycle |
title | Modeling epigenetic regulation of PRC1 protein accumulation in the cell cycle |
title_full | Modeling epigenetic regulation of PRC1 protein accumulation in the cell cycle |
title_fullStr | Modeling epigenetic regulation of PRC1 protein accumulation in the cell cycle |
title_full_unstemmed | Modeling epigenetic regulation of PRC1 protein accumulation in the cell cycle |
title_short | Modeling epigenetic regulation of PRC1 protein accumulation in the cell cycle |
title_sort | modeling epigenetic regulation of prc1 protein accumulation in the cell cycle |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4603771/ https://www.ncbi.nlm.nih.gov/pubmed/26458878 http://dx.doi.org/10.1186/s13062-015-0078-1 |
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