Hasan A B M Shamim Ul, Kurata Hiroyuki
Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan.
Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan; The Biomedical Informatics R&D Center, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan.
J Theor Biol. 2017 Aug 1;427:28-40. doi: 10.1016/j.jtbi.2017.05.036. Epub 2017 Jun 3.
Biological memory is a ubiquitous function that can generate a sustained response to a transient inductive stimulus. To better understand this function, we must consider the mechanisms by which different structures of genetic networks achieve memory. Here, we investigated two competitive gene regulatory network models: the regulated mutual activation network (MAN) and the regulated mutual repression network (MRN). Stochasticity deteriorated the persistence of memory of both the MAN and the MRN. Mathematical comparison by simulation and theoretical analysis identified functional differences in the stochastic memory between the competitive models: specifically, the MAN provided much more robust, persistent memory than the MRN. The stochastic persistent memory pattern of the MAN can be adjusted by changing the binding strength of the activators, whereas the MRN required highly cooperative and strong binding repressors for robust memory.
生物记忆是一种普遍存在的功能，它能够对短暂的诱导刺激产生持续的反应。为了更好地理解这一功能，我们必须考虑遗传网络的不同结构实现记忆的机制。在此，我们研究了两种竞争性基因调控网络模型：调控相互激活网络（MAN）和调控相互抑制网络（MRN）。随机性削弱了MAN和MRN两者记忆的持久性。通过模拟和理论分析进行的数学比较确定了竞争性模型之间随机记忆的功能差异：具体而言，MAN比MRN提供了更为稳健、持久的记忆。MAN的随机持久记忆模式可以通过改变激活剂的结合强度来调节，而MRN则需要高度协同且强结合的阻遏物才能实现稳健的记忆。
