Literature DB >> 15207474

A mathematical model of ageing in yeast.

Colin S Gillespie1, Carole J Proctor, Richard J Boys, Daryl P Shanley, Darren J Wilkinson, Thomas B L Kirkwood.   

Abstract

Budding yeast, Saccharomyces cerevisiae, is commonly used as a system to study cellular ageing. Yeast mother cells are capable of only a limited number of divisions before they undergo senescence, whereas newly formed daughters usually have their replicative age "reset" to zero. Accumulation of extrachromosomal ribosomal DNA circles (ERCs) appears to be an important contributor to ageing in yeast, and we describe a mathematical model that we developed to examine this process. We show that an age-related accumulation of ERCs readily explains the observed features of yeast ageing but that in order to match the experimental survival curves quantitatively, it is necessary that the probability of ERC formation increases with the age of the cell. This implies that some other mechanism(s), in addition to ERC accumulation, must underlie yeast ageing. We also demonstrate that the model can be used to gain insight into how an extra copy of the Sir2 gene might extend lifespan and we show how the model makes novel, testable predictions about patterns of age-specific mortality in yeast populations.

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Year:  2004        PMID: 15207474     DOI: 10.1016/j.jtbi.2004.03.015

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  11 in total

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Review 6.  Organelle segregation during mitosis: lessons from asymmetrically dividing cells.

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7.  Role of SAGA in the asymmetric segregation of DNA circles during yeast ageing.

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8.  Hydrogen peroxide induced loss of heterozygosity correlates with replicative lifespan and mitotic asymmetry in Saccharomyces cerevisiae.

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9.  Heat stress promotes longevity in budding yeast by relaxing the confinement of age-promoting factors in the mother cell.

Authors:  Sandro Baldi; Alessio Bolognesi; Anne Cornelis Meinema; Yves Barral
Journal:  Elife       Date:  2017-12-28       Impact factor: 8.140

Review 10.  Integration of 'omics' data in aging research: from biomarkers to systems biology.

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Journal:  Aging Cell       Date:  2015-08-30       Impact factor: 9.304

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