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How time delay and network design shape response patterns in biochemical negative feedback systems

Overview of attention for article published in BMC Systems Biology, August 2016
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Title
How time delay and network design shape response patterns in biochemical negative feedback systems
Published in
BMC Systems Biology, August 2016
DOI 10.1186/s12918-016-0325-9
Pubmed ID
Authors

Anastasiya Börsch, Jörg Schaber

Abstract

Negative feedback in combination with time delay can bring about both sustained oscillations and adaptive behaviour in cellular networks. Here, we study which design features of systems with delayed negative feedback shape characteristic response patterns with special emphasis on the role of time delay. To this end, we analyse generic two-dimensional delay differential equations describing the dynamics of biochemical signal-response networks. We investigate the influence of several design features on the stability of the model equilibrium, i.e., presence of auto-inhibition and/or mass conservation and the kind and/or strength of the delayed negative feedback. We show that auto-inhibition and mass conservation have a stabilizing effect, whereas increasing abruptness and decreasing feedback threshold have a de-stabilizing effect on the model equilibrium. Moreover, applying our theoretical analysis to the mammalian p53 system we show that an auto-inhibitory feedback can decouple period and amplitude of an oscillatory response, whereas the delayed feedback can not. Our theoretical framework provides insight into how time delay and design features of biochemical networks act together to elicit specific characteristic response patterns. Such insight is useful for constructing synthetic networks and controlling their behaviour in response to external stimulation.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Student > Bachelor 1 7%
Other 1 7%
Student > Master 1 7%
Researcher 1 7%
Other 0 0%
Unknown 6 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 27%
Agricultural and Biological Sciences 2 13%
Social Sciences 2 13%
Physics and Astronomy 1 7%
Unknown 6 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 August 2016.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Systems Biology
#1,006
of 1,126 outputs
Outputs of similar age
#304,042
of 344,917 outputs
Outputs of similar age from BMC Systems Biology
#27
of 32 outputs
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