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A Stochastic Step Model of Replicative Senescence Explains ROS Production Rate in Ageing Cell Populations

Increases in cellular Reactive Oxygen Species (ROS) concentration with age have been observed repeatedly in mammalian tissues. Concomitant increases in the proportion of replicatively senescent cells in ageing mammalian tissues have also been observed. Populations of mitotic human fibroblasts cultur...

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Autores principales: Lawless, Conor, Jurk, Diana, Gillespie, Colin S., Shanley, Daryl, Saretzki, Gabriele, von Zglinicki, Thomas, Passos, João F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3281103/
https://www.ncbi.nlm.nih.gov/pubmed/22359661
http://dx.doi.org/10.1371/journal.pone.0032117
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author Lawless, Conor
Jurk, Diana
Gillespie, Colin S.
Shanley, Daryl
Saretzki, Gabriele
von Zglinicki, Thomas
Passos, João F.
author_facet Lawless, Conor
Jurk, Diana
Gillespie, Colin S.
Shanley, Daryl
Saretzki, Gabriele
von Zglinicki, Thomas
Passos, João F.
author_sort Lawless, Conor
collection PubMed
description Increases in cellular Reactive Oxygen Species (ROS) concentration with age have been observed repeatedly in mammalian tissues. Concomitant increases in the proportion of replicatively senescent cells in ageing mammalian tissues have also been observed. Populations of mitotic human fibroblasts cultured in vitro, undergoing transition from proliferation competence to replicative senescence are useful models of ageing human tissues. Similar exponential increases in ROS with age have been observed in this model system. Tracking individual cells in dividing populations is difficult, and so the vast majority of observations have been cross-sectional, at the population level, rather than longitudinal observations of individual cells. One possible explanation for these observations is an exponential increase in ROS in individual fibroblasts with time (e.g. resulting from a vicious cycle between cellular ROS and damage). However, we demonstrate an alternative, simple hypothesis, equally consistent with these observations which does not depend on any gradual increase in ROS concentration: the Stochastic Step Model of Replicative Senescence (SSMRS). We also demonstrate that, consistent with the SSMRS, neither proliferation-competent human fibroblasts of any age, nor populations of hTERT overexpressing human fibroblasts passaged beyond the Hayflick limit, display high ROS concentrations. We conclude that longitudinal studies of single cells and their lineages are now required for testing hypotheses about roles and mechanisms of ROS increase during replicative senescence.
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spelling pubmed-32811032012-02-22 A Stochastic Step Model of Replicative Senescence Explains ROS Production Rate in Ageing Cell Populations Lawless, Conor Jurk, Diana Gillespie, Colin S. Shanley, Daryl Saretzki, Gabriele von Zglinicki, Thomas Passos, João F. PLoS One Research Article Increases in cellular Reactive Oxygen Species (ROS) concentration with age have been observed repeatedly in mammalian tissues. Concomitant increases in the proportion of replicatively senescent cells in ageing mammalian tissues have also been observed. Populations of mitotic human fibroblasts cultured in vitro, undergoing transition from proliferation competence to replicative senescence are useful models of ageing human tissues. Similar exponential increases in ROS with age have been observed in this model system. Tracking individual cells in dividing populations is difficult, and so the vast majority of observations have been cross-sectional, at the population level, rather than longitudinal observations of individual cells. One possible explanation for these observations is an exponential increase in ROS in individual fibroblasts with time (e.g. resulting from a vicious cycle between cellular ROS and damage). However, we demonstrate an alternative, simple hypothesis, equally consistent with these observations which does not depend on any gradual increase in ROS concentration: the Stochastic Step Model of Replicative Senescence (SSMRS). We also demonstrate that, consistent with the SSMRS, neither proliferation-competent human fibroblasts of any age, nor populations of hTERT overexpressing human fibroblasts passaged beyond the Hayflick limit, display high ROS concentrations. We conclude that longitudinal studies of single cells and their lineages are now required for testing hypotheses about roles and mechanisms of ROS increase during replicative senescence. Public Library of Science 2012-02-16 /pmc/articles/PMC3281103/ /pubmed/22359661 http://dx.doi.org/10.1371/journal.pone.0032117 Text en Lawless 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
Lawless, Conor
Jurk, Diana
Gillespie, Colin S.
Shanley, Daryl
Saretzki, Gabriele
von Zglinicki, Thomas
Passos, João F.
A Stochastic Step Model of Replicative Senescence Explains ROS Production Rate in Ageing Cell Populations
title A Stochastic Step Model of Replicative Senescence Explains ROS Production Rate in Ageing Cell Populations
title_full A Stochastic Step Model of Replicative Senescence Explains ROS Production Rate in Ageing Cell Populations
title_fullStr A Stochastic Step Model of Replicative Senescence Explains ROS Production Rate in Ageing Cell Populations
title_full_unstemmed A Stochastic Step Model of Replicative Senescence Explains ROS Production Rate in Ageing Cell Populations
title_short A Stochastic Step Model of Replicative Senescence Explains ROS Production Rate in Ageing Cell Populations
title_sort stochastic step model of replicative senescence explains ros production rate in ageing cell populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3281103/
https://www.ncbi.nlm.nih.gov/pubmed/22359661
http://dx.doi.org/10.1371/journal.pone.0032117
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