Iglesias Pablo A, Shi Changji
Departments of Cell Biology, Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Department of Electrical and Computer Engineering, The Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA.
IET Syst Biol. 2014 Dec;8(6):268-81. doi: 10.1049/iet-syb.2014.0026.
The cells' ability to adapt to changes in the external environment is crucial for the survival of many organisms. There are two broad classes of signalling networks that achieve perfect adaptation. Both rely on complementary regulation of the response by an external signal and an inhibitory process. In one class of systems, inhibition comes about from the response itself, closing a negative feedback (NFB) loop. In the other, the inhibition comes directly from the external signal in what is referred to as an incoherent feedforward (IFF) loop. Although both systems show adaptive behaviour to constant changes in the level of the stimulus, their response to other forms of stimuli can differ. Here the authors consider the respective response to various such disturbances, including ramp increases, removal of the stimulus and pulses. The authors also consider the effect of stochastic fluctuations in signalling that come about from the interaction of the signalling elements. Finally, the authors consider the possible effect of spatially varying signals. The authors show that both the NFB and the IFF motifs can be used to sense static spatial gradients, under a local excitation, global inhibition assumption. The results may help experimentalists develop protocols that can discriminate between the two adaptation motifs.
细胞适应外部环境变化的能力对许多生物体的生存至关重要。有两大类信号网络可实现完美适应。两者都依赖于外部信号和抑制过程对反应的互补调节。在一类系统中,抑制来自反应本身,形成一个负反馈(NFB)回路。在另一类系统中,抑制直接来自外部信号,即所谓的非相干前馈(IFF)回路。尽管这两种系统对刺激水平的持续变化都表现出适应性行为,但它们对其他形式刺激的反应可能不同。在此,作者考虑了对各种此类干扰的各自反应,包括斜坡增加、刺激去除和脉冲。作者还考虑了信号传导中由信号元件相互作用引起的随机波动的影响。最后,作者考虑了空间变化信号的可能影响。作者表明,在局部兴奋、全局抑制假设下,NFB和IFF基序均可用于感知静态空间梯度。这些结果可能有助于实验人员制定能够区分这两种适应基序的方案。