Literature DB >> 32196468

Coupling of cell fate selection model enhances DNA damage response and may underlie BE phenomenon.

Gökhan Demirkıran1, Güleser Kalaycı Demir2, Cüneyt Güzeliş3.   

Abstract

Double-strand break-induced (DSB) cells send signal that induces DSBs in neighbour cells, resulting in the interaction among cells sharing the same medium. Since p53 network gives oscillatory response to DSBs, such interaction among cells could be modelled as an excitatory coupling of p53 network oscillators. This study proposes a plausible coupling model of three-mode two-dimensional oscillators, which models the p53-mediated cell fate selection in globally coupled DSB-induced cells. The coupled model consists of ATM and Wip1 proteins as variables. The coupling mechanism is realised through ATM variable via a mean-field modelling the bystander signal in the intercellular medium. Investigation of the model reveals that the coupling generates more sensitive DNA damage response by affecting cell fate selection. Additionally, the authors search for the cause-effect relationship between coupled p53 network oscillators and bystander effect (BE) endpoints. For this, they search for the possible values of uncertain parameters that may replicate BE experiments' results. At certain parametric regions, there is a correlation between the outcomes of cell fate and endpoints of BE, suggesting that the intercellular coupling of p53 network may manifest itself as the form of observed BEs.

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Year:  2020        PMID: 32196468      PMCID: PMC8687165          DOI: 10.1049/iet-syb.2019.0081

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  47 in total

1.  The time and spatial effects of bystander response in mammalian cells induced by low dose radiation.

Authors:  Burong Hu; Lijun Wu; Wei Han; Leilei Zhang; Shaopeng Chen; An Xu; Tom K Hei; Zengliang Yu
Journal:  Carcinogenesis       Date:  2005-09-08       Impact factor: 4.944

2.  Synchronization in stress p53 network.

Authors:  Gurumayum Reenaroy Devi; Md Jahoor Alam; R K Brojen Singh
Journal:  Math Med Biol       Date:  2015-02-20       Impact factor: 1.854

Review 3.  History of bystander effects research 1905-present; what is in a name?

Authors:  Carmel Mothersill; Andrej Rusin; Cristian Fernandez-Palomo; Colin Seymour
Journal:  Int J Radiat Biol       Date:  2017-11-29       Impact factor: 2.694

4.  Ionizing radiation induces DNA double-strand breaks in bystander primary human fibroblasts.

Authors:  Mykyta V Sokolov; Lubomir B Smilenov; Eric J Hall; Igor G Panyutin; William M Bonner; Olga A Sedelnikova
Journal:  Oncogene       Date:  2005-11-10       Impact factor: 9.867

5.  Communication of radiation-induced stress or bystander signals between fish in vivo.

Authors:  C Mothersill; C Bucking; R W Smith; N Agnihotri; A Oneill; M Kilemade; C B Seymour
Journal:  Environ Sci Technol       Date:  2006-11-01       Impact factor: 9.028

6.  Radiation-induced intercellular signaling mediated by cytochrome-c via a p53-dependent pathway in hepatoma cells.

Authors:  M He; M Zhao; B Shen; K M Prise; C Shao
Journal:  Oncogene       Date:  2010-12-06       Impact factor: 9.867

Review 7.  Encoding and decoding cellular information through signaling dynamics.

Authors:  Jeremy E Purvis; Galit Lahav
Journal:  Cell       Date:  2013-02-28       Impact factor: 41.582

8.  Inter-Relationship between Low-Dose Hyper-Radiosensitivity and Radiation-Induced Bystander Effects in the Human T98G Glioma and the Epithelial HaCaT Cell Line.

Authors:  Cristian Fernandez-Palomo; Colin Seymour; Carmel Mothersill
Journal:  Radiat Res       Date:  2016-02-05       Impact factor: 2.841

9.  WIP1 phosphatase as a potential therapeutic target in neuroblastoma.

Authors:  Mark Richter; Tajhal Dayaram; Aidan G Gilmartin; Gopinath Ganji; Sandhya Kiran Pemmasani; Harjeet Van Der Key; Jason M Shohet; Lawrence A Donehower; Rakesh Kumar
Journal:  PLoS One       Date:  2015-02-06       Impact factor: 3.240

10.  Towards predicting the response of a solid tumour to chemotherapy and radiotherapy treatments: clinical insights from a computational model.

Authors:  Gibin G Powathil; Douglas J A Adamson; Mark A J Chaplain
Journal:  PLoS Comput Biol       Date:  2013-07-11       Impact factor: 4.475

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