Literature DB >> 24345497

A mathematical model of HiF-1α-mediated response to hypoxia on the G1/S transition.

B Bedessem1, A Stéphanou2.   

Abstract

Hypoxia is known to influence the cell cycle by increasing the G1 phase duration or by inducing a quiescent state (arrest of cell proliferation). This entry into quiescence is a mean for the cell to escape from hypoxia-induced apoptosis. It is suggested that some cancer cells have gain the advantage over normal cells to easily enter into quiescence when environmental conditions, such as oxygen pressure, are unfavorable [43,1]. This ability contributes in the appearance of highly resistant and aggressive tumor phenotypes [2]. The HiF-1α factor is the key actor of the intracellular hypoxia pathway. As tumor cells undergo chronic hypoxic conditions, HiF-1α is present in higher level in cancer than in normal cells. Besides, it was shown that genetic mutations promoting overstabilization of HiF-1α are a feature of various types of cancers [7]. Finally, it is suggested that the intracellular level of HiF-1α can be related to the aggressiveness of the tumors [53,24,4,10]. However, up to now, mathematical models describing the G1/S transition under hypoxia, did not take into account the HiF-1α factor in the hypoxia pathway. Therefore, we propose a mathematical model of the G1/S transition under hypoxia, which explicitly integrates the HiF-1α pathway. The model reproduces the slowing down of G1 phase under moderate hypoxia, and the entry into quiescence of proliferating cells under severe hypoxia. We show how the inhibition of cyclin D by HiF-1α can induce quiescence; this result provides a theoretical explanation to the experimental observations of Wen et al. (2010) [50]. Thus, our model confirms that hypoxia-induced chemoresistance can be linked, for a part, to the negative regulation of cyclin D by HiF-1α.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer; Cell cycle arrest; G1/S transition; HiF-1; Hypoxia; Quiescence

Mesh:

Substances:

Year:  2013        PMID: 24345497     DOI: 10.1016/j.mbs.2013.11.007

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  10 in total

1.  From invasion to latency: intracellular noise and cell motility as key controls of the competition between resource-limited cellular populations.

Authors:  Pilar Guerrero; Helen M Byrne; Philip K Maini; Tomás Alarcón
Journal:  J Math Biol       Date:  2015-04-02       Impact factor: 2.259

2.  Spaceflight/microgravity inhibits the proliferation of hematopoietic stem cells by decreasing Kit-Ras/cAMP-CREB pathway networks as evidenced by RNA-Seq assays.

Authors:  Peng Wang; Hongling Tian; Jiayu Zhang; Juanjuan Qian; Ling Li; Lu Shi; Yong Zhao
Journal:  FASEB J       Date:  2019-02-05       Impact factor: 5.191

3.  In silico simulation of the effect of hypoxia on MCF-7 cell cycle kinetics under fractionated radiotherapy.

Authors:  Adrian S Remigio
Journal:  J Biol Phys       Date:  2021-09-17       Impact factor: 1.560

4.  Role of compartmentalization on HiF-1α degradation dynamics during changing oxygen conditions: a computational approach.

Authors:  Baptiste Bedessem; Angélique Stéphanou
Journal:  PLoS One       Date:  2014-10-22       Impact factor: 3.240

5.  Towards the Design of a Patient-Specific Virtual Tumour.

Authors:  Flavien Caraguel; Anne-Cécile Lesart; François Estève; Boudewijn van der Sanden; Angélique Stéphanou
Journal:  Comput Math Methods Med       Date:  2016-12-19       Impact factor: 2.238

6.  Coarse-graining and hybrid methods for efficient simulation of stochastic multi-scale models of tumour growth.

Authors:  Roberto de la Cruz; Pilar Guerrero; Juan Calvo; Tomás Alarcón
Journal:  J Comput Phys       Date:  2017-12-01       Impact factor: 3.553

7.  Interleukin-15 Signaling in HIF-1α Regulation in Natural Killer Cells, Insights Through Mathematical Models.

Authors:  Anna Coulibaly; Anja Bettendorf; Ekaterina Kostina; Ana Sofia Figueiredo; Sonia Y Velásquez; Hans-Georg Bock; Manfred Thiel; Holger A Lindner; Maria Vittoria Barbarossa
Journal:  Front Immunol       Date:  2019-10-16       Impact factor: 7.561

8.  Stochastic multi-scale models of competition within heterogeneous cellular populations: Simulation methods and mean-field analysis.

Authors:  Roberto de la Cruz; Pilar Guerrero; Fabian Spill; Tomás Alarcón
Journal:  J Theor Biol       Date:  2016-07-22       Impact factor: 2.691

9.  NOX4 downregulation leads to senescence of human vascular smooth muscle cells.

Authors:  Dorota Przybylska; Dorota Janiszewska; Aleksandra Goździk; Anna Bielak-Zmijewska; Piotr Sunderland; Ewa Sikora; Grażyna Mosieniak
Journal:  Oncotarget       Date:  2016-10-11

10.  Mathematical modelling of interacting mechanisms for hypoxia mediated cell cycle commitment for mesenchymal stromal cells.

Authors:  Bo Zhang; Hua Ye; Aidong Yang
Journal:  BMC Syst Biol       Date:  2018-04-02
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.