Literature DB >> 23266715

A predictive mathematical model of the DNA damage G2 checkpoint.

Kevin J Kesseler1, Michael L Blinov, Timothy C Elston, William K Kaufmann, Dennis A Simpson.   

Abstract

A predictive mathematical model of the transition from the G2 phase in the cell cycle to mitosis (M) was constructed from the known interactions of the proteins that are thought to play significant roles in the G2 to M transition as well as the DNA damage- induced G2 checkpoint. The model simulates the accumulation of active cyclin B1/Cdk1 (MPF) complexes in the nucleus to activate mitosis, the inhibition of this process by DNA damage, and transport of component proteins between cytoplasm and nucleus. Interactions in the model are based on activities of individual phospho-epitopes and binding sites of proteins involved in G2/M. Because tracking phosphoforms leads to combinatorial explosion, we employ a rule-based approach using the BioNetGen software. The model was used to determine the effects of depletion or over-expression of selected proteins involved in the regulation of the G2 to M transition in the presence and absence of DNA damage. Depletion of Plk1 delayed mitotic entry and recovery from the DNA damage-induced G2 arrest and over-expression of MPF attenuated the DNA damage-induced G2 delay. The model recapitulates the G2 delay observed in the biological response to varying levels of a DNA damage signal. The model produced the novel prediction that depletion of pkMyt1 results in an abnormal biological state in which G2 cells with DNA damage accumulate inactive nuclear MPF. Such a detailed model may prove useful for predicting DNA damage G2 checkpoint function in cancer and, therefore, sensitivity to cancer therapy. Published by Elsevier Ltd.

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Year:  2012        PMID: 23266715      PMCID: PMC3654547          DOI: 10.1016/j.jtbi.2012.12.011

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


  38 in total

Review 1.  Control of the G2/M transition.

Authors:  George R Stark; William R Taylor
Journal:  Mol Biotechnol       Date:  2006-03       Impact factor: 2.695

2.  Linking cell division to cell growth in a spatiotemporal model of the cell cycle.

Authors:  Ling Yang; Zhangang Han; W Robb MacLellan; James N Weiss; Zhilin Qu
Journal:  J Theor Biol       Date:  2006-01-04       Impact factor: 2.691

Review 3.  DNA damage checkpoints in mammals.

Authors:  Hiroyuki Niida; Makoto Nakanishi
Journal:  Mutagenesis       Date:  2005-11-28       Impact factor: 3.000

Review 4.  Rules for modeling signal-transduction systems.

Authors:  William S Hlavacek; James R Faeder; Michael L Blinov; Richard G Posner; Michael Hucka; Walter Fontana
Journal:  Sci STKE       Date:  2006-07-18

Review 5.  The DNA damage response: ten years after.

Authors:  J Wade Harper; Stephen J Elledge
Journal:  Mol Cell       Date:  2007-12-14       Impact factor: 17.970

6.  Irreversible cell-cycle transitions are due to systems-level feedback.

Authors:  Bela Novak; John J Tyson; Bela Gyorffy; Attila Csikasz-Nagy
Journal:  Nat Cell Biol       Date:  2007-07       Impact factor: 28.824

7.  Coupling of human circadian and cell cycles by the timeless protein.

Authors:  Keziban Unsal-Kaçmaz; Thomas E Mullen; William K Kaufmann; Aziz Sancar
Journal:  Mol Cell Biol       Date:  2005-04       Impact factor: 4.272

Review 8.  Getting in and out of mitosis with Polo-like kinase-1.

Authors:  Marcel A T M van Vugt; René H Medema
Journal:  Oncogene       Date:  2005-04-18       Impact factor: 9.867

9.  Identification of both Myt-1 and Wee-1 as necessary mediators of the p21-independent inactivation of the cdc-2/cyclin B1 complex and growth inhibition of TRAMP cancer cells by genistein.

Authors:  Lara H El Touny; Partha P Banerjee
Journal:  Prostate       Date:  2006-10-01       Impact factor: 4.104

10.  Defective cell cycle checkpoint functions in melanoma are associated with altered patterns of gene expression.

Authors:  William K Kaufmann; Kathleen R Nevis; Pingping Qu; Joseph G Ibrahim; Tong Zhou; Yingchun Zhou; Dennis A Simpson; Jennifer Helms-Deaton; Marila Cordeiro-Stone; Dominic T Moore; Nancy E Thomas; Honglin Hao; Zhi Liu; Janiel M Shields; Glynis A Scott; Norman E Sharpless
Journal:  J Invest Dermatol       Date:  2007-06-28       Impact factor: 8.551

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  4 in total

Review 1.  Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.

Authors:  Lily A Chylek; Leonard A Harris; Chang-Shung Tung; James R Faeder; Carlos F Lopez; William S Hlavacek
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-09-30

2.  Stathmin and microtubules regulate mitotic entry in HeLa cells by controlling activation of both Aurora kinase A and Plk1.

Authors:  Victoria C Silva; Lynne Cassimeris
Journal:  Mol Biol Cell       Date:  2013-10-23       Impact factor: 4.138

3.  A predictor for predicting Escherichia coli transcriptome and the effects of gene perturbations.

Authors:  Maurice H T Ling; Chueh Loo Poh
Journal:  BMC Bioinformatics       Date:  2014-05-13       Impact factor: 3.169

4.  Systematic expression analysis of WEE family kinases reveals the importance of PKMYT1 in breast carcinogenesis.

Authors:  Yu Liu; Jian Qi; Zhen Dou; Jiliang Hu; Li Lu; Haiming Dai; Hongzhi Wang; Wulin Yang
Journal:  Cell Prolif       Date:  2019-12-14       Impact factor: 6.831

  4 in total

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