Literature DB >> 21755456

Molecular network dynamics of cell cycle control: transitions to start and finish.

Attila Csikász-Nagy1, Alida Palmisano, Judit Zámborszky.   

Abstract

The cell cycle is controlled by complex regulatory network to ensure that the phases of the cell cycle happen in the right order and transitions between phases happen only if the earlier phase is properly finished. This regulatory network receives signals from the environment, monitors the state of the DNA, and decides when the cell can proceed in its cycle. The transcriptional and post-translational regulatory interactions in this network can lead to complex dynamical responses. The cell cycle dependent oscillations in protein activities are driven by these interactions as the regulatory system moves between steady states that correspond to different phases of the cell cycle. The analysis of such complex molecular network behavior can be investigated with the tools of computational systems biology. Here we review the basic physiological and molecular transitions in the cell cycle and present how the system-level emergent properties were found by the help of mathematical/computational modeling.

Mesh:

Year:  2011        PMID: 21755456     DOI: 10.1007/978-1-61779-182-6_19

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

Review 1.  The Ubiquitin Proteasome Pathway (UPP) in the regulation of cell cycle control and DNA damage repair and its implication in tumorigenesis.

Authors:  Yaqin Tu; Cai Chen; Junru Pan; Junfa Xu; Zhi-Guang Zhou; Cong-Yi Wang
Journal:  Int J Clin Exp Pathol       Date:  2012-10-01

2.  Hierarchical decomposition of dynamically evolving regulatory networks.

Authors:  Ahmet Ay; Dihong Gong; Tamer Kahveci
Journal:  BMC Bioinformatics       Date:  2015-05-15       Impact factor: 3.169

3.  Evolution of opposing regulatory interactions underlies the emergence of eukaryotic cell cycle checkpoints.

Authors:  Rosa D Hernansaiz-Ballesteros; Csenge Földi; Luca Cardelli; László G Nagy; Attila Csikász-Nagy
Journal:  Sci Rep       Date:  2021-05-27       Impact factor: 4.379

4.  Genetic interactions derived from high-throughput phenotyping of 6589 yeast cell cycle mutants.

Authors:  Jenna E Gallegos; Neil R Adames; Mark F Rogers; Pavel Kraikivski; Aubrey Ibele; Kevin Nurzynski-Loth; Eric Kudlow; T M Murali; John J Tyson; Jean Peccoud
Journal:  NPJ Syst Biol Appl       Date:  2020-05-06
  4 in total

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