Literature DB >> 26278643

Dynamics of P53 in response to DNA damage: Mathematical modeling and perspective.

Tingzhe Sun1, Jun Cui2.   

Abstract

Cells are constantly challenged by intrinsic and extrinsic signals. DNA damage denotes a serious threat to cellular survival due to its extensive destroy to genomic integrity. Appropriate dynamic responses to changing signals are essential for homeostasis. The tumor suppressor p53 can respond to DNA damage and elicit diverse dynamical patterns. How signals and information are encoded and decoded in p53 network under DNA damaging stimuli are not fully understood. From theoretical perspective, we focus on the dynamical patterns of p53 and how such complex dynamics relate to cell fate leading to a better knowledge about its regulation and function.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bimodality; Cell fate decision; Mathematical modeling; Pulse; p53

Mesh:

Substances:

Year:  2015        PMID: 26278643     DOI: 10.1016/j.pbiomolbio.2015.08.017

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  10 in total

Review 1.  Stress and the nonsense-mediated RNA decay pathway.

Authors:  Alexandra E Goetz; Miles Wilkinson
Journal:  Cell Mol Life Sci       Date:  2017-05-13       Impact factor: 9.261

2.  Two-dimensional polynomial type canonical relaxation oscillator model for p53 dynamics.

Authors:  Gökhan Demirkıran; Güleser Kalaycı Demir; Cüneyt Güzeliş
Journal:  IET Syst Biol       Date:  2018-08       Impact factor: 1.615

Review 3.  Significance of Wild-Type p53 Signaling in Suppressing Apoptosis in Response to Chemical Genotoxic Agents: Impact on Chemotherapy Outcome.

Authors:  Razmik Mirzayans; Bonnie Andrais; Piyush Kumar; David Murray
Journal:  Int J Mol Sci       Date:  2017-04-28       Impact factor: 5.923

4.  Modeling amplified p53 responses under DNA-PK inhibition in DNA damage response.

Authors:  Tingzhe Sun; Xinda Li; Pingping Shen
Journal:  Oncotarget       Date:  2017-03-07

Review 5.  Programmed cell death: the battlefield between the host and alpha-herpesviruses and a potential avenue for cancer treatment.

Authors:  Chuankuo Zhao; Mingshu Wang; Anchun Cheng; Qiao Yang; Ying Wu; Dekang Zhu; Shun Chen; Mafeng Liu; XinXin Zhao; Renyong Jia; Kunfeng Sun; Xiaoyue Chen
Journal:  Oncotarget       Date:  2018-07-17

Review 6.  Mathematical Modeling of p53 Pathways.

Authors:  Eunjung Kim; Jae-Young Kim; Joo-Yong Lee
Journal:  Int J Mol Sci       Date:  2019-10-18       Impact factor: 5.923

7.  Understanding non-linear effects from Hill-type dynamics with application to decoding of p53 signaling.

Authors:  Xiaomin Shi; Jeffrey R Reimers
Journal:  Sci Rep       Date:  2018-02-01       Impact factor: 4.379

8.  System-based strategies for p53 recovery.

Authors:  Muhammad Rizwan Azam; Sahar Fazal; Mukhtar Ullah; Aamer I Bhatti
Journal:  IET Syst Biol       Date:  2018-06       Impact factor: 1.615

9.  Sliding mode controller-observer pair for p53 pathway.

Authors:  Muhammad Rizwan Azam; Vadim I Utkin; Ali Arshad Uppal; Aamer Iqbal Bhatti
Journal:  IET Syst Biol       Date:  2019-08       Impact factor: 1.615

10.  Revealing determinants of two-phase dynamics of P53 network under gamma irradiation based on a reduced 2D relaxation oscillator model.

Authors:  Gökhan Demirkıran; Güleser Kalaycı Demir; Cüneyt Güzeliş
Journal:  IET Syst Biol       Date:  2018-02       Impact factor: 1.615

  10 in total

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