Synthetic circuit for exact adaptation and fold-change detection
نویسندگان
چکیده
منابع مشابه
Synthetic circuit for exact adaptation and fold-change detection
Biological organisms use their sensory systems to detect changes in their environment. The ability of sensory systems to adapt to static inputs allows wide dynamic range as well as sensitivity to input changes including fold-change detection, a response that depends only on fold changes in input, and not on absolute changes. This input scale invariance underlies an important strategy for search...
متن کاملOptimal Regulatory Circuit Topologies for Fold-Change Detection.
Evolution repeatedly converges on only a few regulatory circuit designs that achieve a given function. This simplicity helps us understand biological networks. However, why so few circuits are rediscovered by evolution is unclear. We address this question for the case of fold-change detection (FCD): a response to relative changes of input rather than absolute changes. Two types of FCD circuits ...
متن کاملFold-change detection in biological systems
Many sensory systems in cells and organisms share a recurring property called fold-change detection (FCD). FCD describes a system whose dynamics – including amplitude and response time – are determined only by the relative change in input signal, rather than its absolute change. FCD entails two important features – exact adaptation and the Weber–Fechner law. Systems with FCD include bacterial a...
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15 صفحه اولFold-change detection and scalar symmetry of sensory input fields.
Recent studies suggest that certain cellular sensory systems display fold-change detection (FCD): a response whose entire shape, including amplitude and duration, depends only on fold changes in input and not on absolute levels. Thus, a step change in input from, for example, level 1 to 2 gives precisely the same dynamical output as a step from level 2 to 4, because the steps have the same fold...
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ژورنال
عنوان ژورنال: Nucleic Acids Research
سال: 2014
ISSN: 1362-4962,0305-1048
DOI: 10.1093/nar/gku233