%0 Journal Article %1 CsikaszNagy2011Molecular %A Csikász-Nagy, Attila %A Palmisano, Alida %A Zámborszky, Judit %D 2011 %J Methods in molecular biology (Clifton, N.J.) %K cell-cycle network-dynamics %P 277--291 %R 10.1007/978-1-61779-182-6\_19 %T Molecular network dynamics of cell cycle control: transitions to start and finish. %U http://dx.doi.org/10.1007/978-1-61779-182-6\_19 %V 761 %X 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.

@article{CsikaszNagy2011Molecular, 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.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Csik\'{a}sz-Nagy, Attila and Palmisano, Alida and Z\'{a}mborszky, Judit}, biburl = {https://www.bibsonomy.org/bibtex/2a2dfbb3f80fc8ff31211509c287fece7/karthikraman}, citeulike-article-id = {9577699}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-1-61779-182-6\_19}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/21755456}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=21755456}, doi = {10.1007/978-1-61779-182-6\_19}, interhash = {ca16fa1204c45e4d9e51a0cb31262f49}, intrahash = {a2dfbb3f80fc8ff31211509c287fece7}, issn = {1940-6029}, journal = {Methods in molecular biology (Clifton, N.J.)}, keywords = {cell-cycle network-dynamics}, pages = {277--291}, pmid = {21755456}, posted-at = {2011-07-25 06:04:42}, priority = {2}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Molecular network dynamics of cell cycle control: transitions to start and finish.}, url = {http://dx.doi.org/10.1007/978-1-61779-182-6\_19}, volume = 761, year = 2011 }