Energy landscape reveals that the budding yeast cell cycle is a robust and adaptive multi-stage process.
Energy landscape reveals that the budding yeast cell cycle is a robust and adaptive multi-stage process.
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能源景观揭示出芽酵母细胞周期是一个稳健且适应性强的多阶段过程
DOI:
10.1371/journal.pcbi.1004156
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发表时间:
2015-03
影响因子:
4.3
通讯作者:
Li T
中科院分区:
文献类型:
--
作者:
Lv C;Li X;Li F;Li T
Quantitatively understanding the robustness, adaptivity and efficiency of cell cycle dynamics under the influence of noise is a fundamental but difficult question to answer for most eukaryotic organisms. Using a simplified budding yeast cell cycle model perturbed by intrinsic noise, we systematically explore these issues from an energy landscape point of view by constructing an energy landscape for the considered system based on large deviation theory. Analysis shows that the cell cycle trajectory is sharply confined by the ambient energy barrier, and the landscape along this trajectory exhibits a generally flat shape. We explain the evolution of the system on this flat path by incorporating its non-gradient nature. Furthermore, we illustrate how this global landscape changes in response to external signals, observing a nice transformation of the landscapes as the excitable system approaches a limit cycle system when nutrients are sufficient, as well as the formation of additional energy wells when the DNA replication checkpoint is activated. By taking into account the finite volume effect, we find additional pits along the flat cycle path in the landscape associated with the checkpoint mechanism of the cell cycle. The difference between the landscapes induced by intrinsic and extrinsic noise is also discussed. In our opinion, this meticulous structure of the energy landscape for our simplified model is of general interest to other cell cycle dynamics, and the proposed methods can be applied to study similar biological systems.
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影响因子:
21.3
作者:
Novak, Bela;Tyson, John J.;Csikasz-Nagy, Attila
通讯作者:
Csikasz-Nagy, Attila
影响因子:
64.5
作者:
Ferrell, James E., Jr.;Tsai, Tony Yu-Chen;Yang, Qiong
通讯作者:
Yang, Qiong
影响因子:
7.5
作者:
Friedel, Anna M.;Pike, Brietta L.;Gasser, Susan M.
通讯作者:
Gasser, Susan M.
影响因子:
64.8
作者:
Skotheim, Jan M.;Di Talia, Stefano;Siggia, Eric D.;Cross, Frederick R.
通讯作者:
Cross, Frederick R.
DOI:
10.1126/science.1216379
发表时间:
2012-04-13
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Munsky B;Neuert G;van Oudenaarden A
通讯作者:
van Oudenaarden A