کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4495817 1623812 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The role of time delay in adaptive cellular negative feedback systems
ترجمه فارسی عنوان
نقش تاخیر زمانی در سیستم های بازخورد منفی سلولی انطباق پذیر
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی


• Time delay determines response in biochemical systems containing negative feedbacks.
• We give explicit delay thresholds beyond which the system response patterns change.
• Adaptation of yeast to osmotic stress is optimal.
• A slight change in time delay changes the structural stability of the NF-κB system.

Adaptation in cellular systems is often mediated by negative feedbacks, which usually come with certain time delays causing several characteristic response patterns including an overdamped response, damped or sustained oscillations. Here, we analyse generic two-dimensional delay differential equations with delayed negative feedback describing the dynamics of biochemical adaptive signal-response networks. We derive explicit thresholds and boundaries showing how time delay determines characteristic response patterns of these networks. Applying our theoretical analyses to concrete data we show that adaptation to osmotic stress in yeast is optimal in the sense of minimizing adaptation time without causing oscillatory behaviour, i.e., a critically damped response. In addition, our framework demonstrates that a slight increase of time delay in the NF-κB system might induce a switch from damped to sustained oscillatory behaviour. Thus, we demonstrate how delay differential equations can be used to explicitly study the delay in biochemical negative feedback systems. Our analysis also provides insight into how time delay may tune biological signal-response patterns and control the systems behaviour.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 398, 7 June 2016, Pages 64–73
نویسندگان
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