|
Special Issue:
SPECIAL TOPIC — Soft matter and biological physics
|
| SPECIAL TOPIC—Soft matter and biological physics |
Prev
Next
|
|
|
The birhythmicity increases the diversity of p53 oscillation induced by DNA damage |
| Dao-Guang Wang(王道光)1,2, Chun-Hong Zhou(周春红)2, Xiao-Peng Zhang(张小鹏)1,3 |
1. National Laboratory of Solid State Microstructure and Department of Physics, Nanjing University, Nanjing 210093, China;
2. School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China;
3. Kuang Yaming Honors School, Nanjing University, Nanjing 210023, China |
|
|
|
|
Abstract The tumor suppressor p53 mediates the cellular response to various stresses. It was experimentally shown that the concentration of p53 can show oscillations with short or long periods upon DNA damage. The underlying mechanism for this phenomenon is still not fully understood. Here, we construct a network model comprising the ATM-p53-Wip1 and p53-Mdm2 negative feedback loops and ATM autoactivation. We recapitulate the typical features of p53 oscillations including p53 birhythmicity. We show the dependence of p53 birhythmicity on various factors such as the phosphorylation status of ATM. We also perform stochastic simulation and find the noise-induced transitions between two modes of p53 oscillation, which increases the p53 variability in both the amplitude and period. These results suggest that p53 birhythmicity enhances the responsiveness of p53 network, which may facilitate its tumor suppressive function.
|
Received: 08 October 2017
Revised: 16 October 2017
Accepted manuscript online:
|
|
PACS:
|
87.18.Mp
|
(Signal transduction networks)
|
| |
82.40.Bj
|
(Oscillations, chaos, and bifurcations)
|
| |
82.39.Rt
|
(Reactions in complex biological systems)
|
| |
87.18.Tt
|
(Noise in biological systems)
|
|
| Fund: Project supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Grant Nos. 16KJB180007 and 16KJB140014), the Special Foundation of Theoretical Physics Research Program of China (Grant No. 11547025), and the National Natural Science Foundation of China (Grant No. 11574139). |
Corresponding Authors:
Xiao-Peng Zhang
E-mail: zhangxp@nju.edu.cn
|
Cite this article:
Dao-Guang Wang(王道光), Chun-Hong Zhou(周春红), Xiao-Peng Zhang(张小鹏) The birhythmicity increases the diversity of p53 oscillation induced by DNA damage 2017 Chin. Phys. B 26 128709
|
| [1] |
Schisano B, Tripathi G, McGee K, McTernan P G and Ceriello A 2011 Diabetologia 54 1219
|
| [2] |
Kamb A, Gruis N A, Weaver-Feldhaus J, Liu Q Y, Harshman K, Tavtigian S V, Stockert E, Day R S, Johnson B E and Skolnick M H 1994 Science 264 436
|
| [3] |
Lincoln G A, Clarke I J, Hut R A and Hazlerigg D G 2006 Science 314 1941
|
| [4] |
Moran F and Goldbeter A 1984 Biophys.Chem. 20 149
|
| [5] |
Leloup J C and Goldbeter A 1999 J.Theor.Biol. 198 445
|
| [6] |
Decroly O and Goldbeter A 1982 Proc. Natl. Acad. Sci. USA 79 6917
|
| [7] |
Haberichter T, Marhl M and Heinrich R 2001 Biophys. Chem. 90 17
|
| [8] |
Goldbeter A and Morán F 1988 Eur. Biophys. J. 15 277
|
| [9] |
Kuerbitz S J, Plunkett B S, Walsh W V and Kastan M B 1992 Proc. Natl. Acad. Sci. USA 89 7491
|
| [10] |
Levine A J1997 Cell 88 323
|
| [11] |
Serrano M, Lin A W, McCurrach M E, Beach D and Lowe S W 1997 Cell 88 593
|
| [12] |
Loewer A, Karanam K, Mock C and Lahav G 2013 BMC Biol. 11 114
|
| [13] |
Geva-Zatorsky N, Rosenfeld N, Itzkovitz S, Milo R, Sigal A, Dekel E, Yarnitzky T, Liron Y, Polak P, Lahav G and Alon U 2006 Mol. Syst. Biol. 2 0033
|
| [14] |
Ouattara D A, Abou-Jaoudé W and Kaufman M 2010 J. Theor. Biol. 264 1177
|
| [15] |
Kim J K and Jackson T L 2013 PLoS One 8 e65242
|
| [16] |
Geva-Zatorsky N, Dekel E, Batchelor E, Lahav G and Alon U 2010 Proc. Natl. Acad. Sci. USA 107 13550
|
| [17] |
Abou-Jaoudé W, Chaves M and Gouzé J L 2011 PLoS One 6 e17075
|
| [18] |
Bakkenist C J and Kastan M B 2003 Nature 421 499
|
| [19] |
Batchelor E, Mock C S, Bhan I, Loewer A and Lahav G 2008 Mol. Cell 30 277
|
| [20] |
Zhang X P, Liu F and Wang W 2011 Proc. Natl. Acad. Sci. USA 108 8990
|
| [21] |
Batchelor E, Loewer A, Mock C and Lahav G 2011 Mol. Syst. Biol. 7 488
|
| [22] |
Zhang X P, Liu F, Cheng Z and Wang W 2009 Proc. Natl. Acad. Sci. USA 106 12245
|
| [23] |
Vassilev L T, Vu B T, Graves B, Carvajal D, Podlaski F, Filipovic Z, Kong N, Kammlott U, Lukacs C, Klein C, Fotouhi N and Liu E A 2004 Science 303 844
|
| [24] |
Kozlov S V, Graham M E, Jakob B, Tobias F, Kijas A W, Tanuji M, Chen P, Robinson P J, Taucher-Scholz G, Suzuki K, So S, Chen D and Lavin M F 2011 J. Biol. Chem. 286 9107
|
| [25] |
Shiloh Y and Ziv Y 2013 Nat. Rev. Mol. Cell Biol. 14 197
|
| [26] |
Stommel J M and Wahl G M 2004 EMBO J. 23 1547
|
| [27] |
Shreeram S, Demidov O N, Hee W K, Yamaguchi H, Onishi N, Kek C, Timofeev O N, Dudgeon C, Fornace A J, Anderson C W, Minami Y, Appella E and Bulavin D V 2006 Mol. Cell 23 757
|
| [28] |
Banin S, Moyal L, Shieh S-Y, Taya Y, Anderson CW, Chessa L, Smorodinsky NI, Prives C, Reiss Y, Shiloh Y and Ziv Y 1998 Science 281 1674
|
| [29] |
Canman C E, Lim D-S, Cimprich K A, Taya Y, Tamai K, Sakaguchi K, Appella E, Kastan M B and Siliciano J D 1998 Science 281 1677
|
| [30] |
Dupré A, Boyer-Chatenet L and Gautier J 2006 Nat. Struct. Mol. Biol. 13 451
|
| [31] |
Wang L F, Qiu K and Jia Y 2017 Chin. Phys. B 26 030503
|
| [32] |
Elowitz M B, Levine A J, Siggia E D and Swain P S 2002 Science 297 1183
|
| [33] |
Rosenfeld N, Young J W, Alon U, Swain P S and Elowitz M B 2005 Science 307 1962
|
| [34] |
Bowsher C G, Voliotis M and Swain P S 2013 PLoS. Comput. Biol. 9 e1002965
|
| [35] |
Uhlenbeck G E and Ornstein L S 1930 Phys. Rev. 36 823
|
| [36] |
Gillespie D T 1996 Phys. Rev. E 54 2084
|
| [37] |
Li W, Zhang M T and Zhao J F 2017 Chin. Phys. B 26 090501
|
| [38] |
Fox R F 1991 Phys. Rev. A 43 2649
|
| [39] |
Biswas D, Banerjee T and Kurths J 2017 Chaos 27 063110
|
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
