Cargando…
Stochastic E2F Activation and Reconciliation of Phenomenological Cell-Cycle Models
The transition of the mammalian cell from quiescence to proliferation is a highly variable process. Over the last four decades, two lines of apparently contradictory, phenomenological models have been proposed to account for such temporal variability. These include various forms of the transition pr...
Autores principales: | , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943438/ https://www.ncbi.nlm.nih.gov/pubmed/20877711 http://dx.doi.org/10.1371/journal.pbio.1000488 |
_version_ | 1782187017979822080 |
---|---|
author | Lee, Tae J. Yao, Guang Bennett, Dorothy C. Nevins, Joseph R. You, Lingchong |
author_facet | Lee, Tae J. Yao, Guang Bennett, Dorothy C. Nevins, Joseph R. You, Lingchong |
author_sort | Lee, Tae J. |
collection | PubMed |
description | The transition of the mammalian cell from quiescence to proliferation is a highly variable process. Over the last four decades, two lines of apparently contradictory, phenomenological models have been proposed to account for such temporal variability. These include various forms of the transition probability (TP) model and the growth control (GC) model, which lack mechanistic details. The GC model was further proposed as an alternative explanation for the concept of the restriction point, which we recently demonstrated as being controlled by a bistable Rb-E2F switch. Here, through a combination of modeling and experiments, we show that these different lines of models in essence reflect different aspects of stochastic dynamics in cell cycle entry. In particular, we show that the variable activation of E2F can be described by stochastic activation of the bistable Rb-E2F switch, which in turn may account for the temporal variability in cell cycle entry. Moreover, we show that temporal dynamics of E2F activation can be recast into the frameworks of both the TP model and the GC model via parameter mapping. This mapping suggests that the two lines of phenomenological models can be reconciled through the stochastic dynamics of the Rb-E2F switch. It also suggests a potential utility of the TP or GC models in defining concise, quantitative phenotypes of cell physiology. This may have implications in classifying cell types or states. |
format | Text |
id | pubmed-2943438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-29434382010-09-28 Stochastic E2F Activation and Reconciliation of Phenomenological Cell-Cycle Models Lee, Tae J. Yao, Guang Bennett, Dorothy C. Nevins, Joseph R. You, Lingchong PLoS Biol Research Article The transition of the mammalian cell from quiescence to proliferation is a highly variable process. Over the last four decades, two lines of apparently contradictory, phenomenological models have been proposed to account for such temporal variability. These include various forms of the transition probability (TP) model and the growth control (GC) model, which lack mechanistic details. The GC model was further proposed as an alternative explanation for the concept of the restriction point, which we recently demonstrated as being controlled by a bistable Rb-E2F switch. Here, through a combination of modeling and experiments, we show that these different lines of models in essence reflect different aspects of stochastic dynamics in cell cycle entry. In particular, we show that the variable activation of E2F can be described by stochastic activation of the bistable Rb-E2F switch, which in turn may account for the temporal variability in cell cycle entry. Moreover, we show that temporal dynamics of E2F activation can be recast into the frameworks of both the TP model and the GC model via parameter mapping. This mapping suggests that the two lines of phenomenological models can be reconciled through the stochastic dynamics of the Rb-E2F switch. It also suggests a potential utility of the TP or GC models in defining concise, quantitative phenotypes of cell physiology. This may have implications in classifying cell types or states. Public Library of Science 2010-09-21 /pmc/articles/PMC2943438/ /pubmed/20877711 http://dx.doi.org/10.1371/journal.pbio.1000488 Text en Lee 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Lee, Tae J. Yao, Guang Bennett, Dorothy C. Nevins, Joseph R. You, Lingchong Stochastic E2F Activation and Reconciliation of Phenomenological Cell-Cycle Models |
title | Stochastic E2F Activation and Reconciliation of Phenomenological Cell-Cycle Models |
title_full | Stochastic E2F Activation and Reconciliation of Phenomenological Cell-Cycle Models |
title_fullStr | Stochastic E2F Activation and Reconciliation of Phenomenological Cell-Cycle Models |
title_full_unstemmed | Stochastic E2F Activation and Reconciliation of Phenomenological Cell-Cycle Models |
title_short | Stochastic E2F Activation and Reconciliation of Phenomenological Cell-Cycle Models |
title_sort | stochastic e2f activation and reconciliation of phenomenological cell-cycle models |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943438/ https://www.ncbi.nlm.nih.gov/pubmed/20877711 http://dx.doi.org/10.1371/journal.pbio.1000488 |
work_keys_str_mv | AT leetaej stochastice2factivationandreconciliationofphenomenologicalcellcyclemodels AT yaoguang stochastice2factivationandreconciliationofphenomenologicalcellcyclemodels AT bennettdorothyc stochastice2factivationandreconciliationofphenomenologicalcellcyclemodels AT nevinsjosephr stochastice2factivationandreconciliationofphenomenologicalcellcyclemodels AT youlingchong stochastice2factivationandreconciliationofphenomenologicalcellcyclemodels |