Departments of Physics, Laboratory of Network Biology Research, Technion - Israel Institute of Technology, Haifa 32000, Israel.
Proc Natl Acad Sci U S A. 2009 Dec 29;106(52):22558-63. doi: 10.1073/pnas.0902146106. Epub 2009 Dec 15.
Many membrane channels and receptors exhibit adaptive, or desensitized, response to a strong sustained input stimulus. A key mechanism that underlies this response is the slow, activity-dependent removal of responding molecules to a pool which is unavailable to respond immediately to the input. This mechanism is implemented in different ways in various biological systems and has traditionally been studied separately for each. Here we highlight the common aspects of this principle, shared by many biological systems, and suggest a unifying theoretical framework. We study theoretically a class of models which describes the general mechanism and allows us to distinguish its universal from system-specific features. We show that under general conditions, regardless of the details of kinetics, molecule availability encodes an averaging over past activity and feeds back multiplicatively on the system output. The kinetics of recovery from unavailability determines the effective memory kernel inside the feedback branch, giving rise to a variety of system-specific forms of adaptive response-precise or input-dependent, exponential or power-law-as special cases of the same model.
许多膜通道和受体对强持续输入刺激表现出适应性或脱敏反应。这种反应的一个关键机制是,活性依赖性地将反应分子缓慢地从一个无法立即对输入做出反应的池转移到一个池中。这种机制在不同的生物系统中以不同的方式实现,并且传统上分别对每个系统进行研究。在这里,我们强调了许多生物系统共有的这一原则的共同方面,并提出了一个统一的理论框架。我们从理论上研究了一类模型,该模型描述了一般机制,并允许我们区分其普遍特征和系统特定特征。我们表明,在一般情况下,无论动力学的细节如何,分子可用性都对过去的活动进行平均,并对系统输出进行乘法反馈。从不可用性中恢复的动力学决定了反馈分支中的有效记忆核,从而导致各种特定于系统的自适应响应形式-精确或输入依赖性,指数或幂律作为同一模型的特例。