Literature DB >> 17015293

Modelling the checkpoint response to telomere uncapping in budding yeast.

C J Proctor1, D A Lydall, R J Boys, C S Gillespie, D P Shanley, D J Wilkinson, T B L Kirkwood.   

Abstract

One of the DNA damage-response mechanisms in budding yeast is temporary cell-cycle arrest while DNA repair takes place. The DNA damage response requires the coordinated interaction between DNA repair and checkpoint pathways. Telomeres of budding yeast are capped by the Cdc13 complex. In the temperature-sensitive cdc13-1 strain, telomeres are unprotected over a specific temperature range leading to activation of the DNA damage response and subsequently cell-cycle arrest. Inactivation of cdc13-1 results in the generation of long regions of single-stranded DNA (ssDNA) and is affected by the activity of various checkpoint proteins and nucleases. This paper describes a mathematical model of how uncapped telomeres in budding yeast initiate the checkpoint pathway leading to cell-cycle arrest. The model was encoded in the Systems Biology Markup Language (SBML) and simulated using the stochastic simulation system Biology of Ageing e-Science Integration and Simulation (BASIS). Each simulation follows the time course of one mother cell keeping track of the number of cell divisions, the level of activity of each of the checkpoint proteins, the activity of nucleases and the amount of ssDNA generated. The model can be used to carry out a variety of in silico experiments in which different genes are knocked out and the results of simulation are compared to experimental data. Possible extensions to the model are also discussed.

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Year:  2007        PMID: 17015293      PMCID: PMC2358953          DOI: 10.1098/rsif.2006.0148

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  35 in total

1.  RAD53, DUN1 and PDS1 define two parallel G2/M checkpoint pathways in budding yeast.

Authors:  R Gardner; C W Putnam; T Weinert
Journal:  EMBO J       Date:  1999-06-01       Impact factor: 11.598

2.  MathSBML: a package for manipulating SBML-based biological models.

Authors:  Bruce E Shapiro; Michael Hucka; Andrew Finney; John Doyle
Journal:  Bioinformatics       Date:  2004-04-15       Impact factor: 6.937

3.  CDC5 and CKII control adaptation to the yeast DNA damage checkpoint.

Authors:  D P Toczyski; D J Galgoczy; L H Hartwell
Journal:  Cell       Date:  1997-09-19       Impact factor: 41.582

4.  Yeast checkpoint genes in DNA damage processing: implications for repair and arrest.

Authors:  D Lydall; T Weinert
Journal:  Science       Date:  1995-12-01       Impact factor: 47.728

5.  Reciprocal association of the budding yeast ATM-related proteins Tel1 and Mec1 with telomeres in vivo.

Authors:  Hideki Takata; Yutaka Kanoh; Norio Gunge; Katsuhiko Shirahige; Akira Matsuura
Journal:  Mol Cell       Date:  2004-05-21       Impact factor: 17.970

6.  Exo1 and Rad24 differentially regulate generation of ssDNA at telomeres of Saccharomyces cerevisiae cdc13-1 mutants.

Authors:  Mikhajlo K Zubko; Sandrine Guillard; David Lydall
Journal:  Genetics       Date:  2004-09       Impact factor: 4.562

7.  The RAD9 gene controls the cell cycle response to DNA damage in Saccharomyces cerevisiae.

Authors:  T A Weinert; L H Hartwell
Journal:  Science       Date:  1988-07-15       Impact factor: 47.728

8.  Mec1 and Rad53 inhibit formation of single-stranded DNA at telomeres of Saccharomyces cerevisiae cdc13-1 mutants.

Authors:  Xindan Jia; Ted Weinert; David Lydall
Journal:  Genetics       Date:  2004-02       Impact factor: 4.562

9.  Single-stranded DNA arising at telomeres in cdc13 mutants may constitute a specific signal for the RAD9 checkpoint.

Authors:  B Garvik; M Carson; L Hartwell
Journal:  Mol Cell Biol       Date:  1995-11       Impact factor: 4.272

10.  DNA end resection, homologous recombination and DNA damage checkpoint activation require CDK1.

Authors:  Grzegorz Ira; Achille Pellicioli; Alitukiriza Balijja; Xuan Wang; Simona Fiorani; Walter Carotenuto; Giordano Liberi; Debra Bressan; Lihong Wan; Nancy M Hollingsworth; James E Haber; Marco Foiani
Journal:  Nature       Date:  2004-10-21       Impact factor: 49.962

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  4 in total

Review 1.  Stochastic modelling for quantitative description of heterogeneous biological systems.

Authors:  Darren J Wilkinson
Journal:  Nat Rev Genet       Date:  2009-02       Impact factor: 53.242

2.  Annotation of SBML models through rule-based semantic integration.

Authors:  Allyson L Lister; Phillip Lord; Matthew Pocock; Anil Wipat
Journal:  J Biomed Semantics       Date:  2010-06-22

3.  Integrating systems biology models and biomedical ontologies.

Authors:  Robert Hoehndorf; Michel Dumontier; John H Gennari; Sarala Wimalaratne; Bernard de Bono; Daniel L Cook; Georgios V Gkoutos
Journal:  BMC Syst Biol       Date:  2011-08-11

Review 4.  Taming the tiger by the tail: modulation of DNA damage responses by telomeres.

Authors:  David Lydall
Journal:  EMBO J       Date:  2009-07-23       Impact factor: 11.598

  4 in total

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