ArticleIET systems biology2014
Comparison of adaptation motifs: temporal, stochastic and spatial responses.
Article in IET systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Biomolecular mechanisms for signal differentiation.iScience · 2021Article
- Article
- Three-dimensional stochastic simulation of chemoattractant-mediated excitability in cells.PLoS computational biology · 2021Article
- Sensitivity minimization, biological homeostasis and information theory.Biological cybernetics · 2021Review
- Multi-bit Boolean model for chemotactic drift ofIET systems biology · 2020Article
- Membrane Tension Can Enhance Adaptation to Maintain Polarity of Migrating Cells.Biophysical journal · 2020Article
- Adaptive information processing of network modules to dynamic and spatial stimuli.BMC systems biology · 2019Article
- Adaptation of Living Systems.Annual review of condensed matter physics · 2018Article
- Fold-change detection and scale invariance of cell-cell signaling in social amoeba.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Adaptive Responses Limited by Intrinsic Noise.PloS one · 2015Article
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Authors and funding
2 authors.
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Abstract
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.
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