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Nested autoinhibitory feedbacks alter the resistance of homeostatic adaptive biochemical networks
Author(s) -
Jörg Schaber,
Anastasiya Lapytsko,
Dietrich Flockerzi
Publication year - 2013
Publication title -
journal of the royal society interface
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.655
H-Index - 139
eISSN - 1742-5689
pISSN - 1742-5662
DOI - 10.1098/rsif.2013.0971
Subject(s) - negative feedback , context (archaeology) , computer science , positive feedback , signalling , systems biology , adaptive response , stimulus (psychology) , biological system , control theory (sociology) , adaptive system , control (management) , biology , physics , engineering , bioinformatics , microbiology and biotechnology , artificial intelligence , psychology , paleontology , genetics , voltage , electrical engineering , psychotherapist , quantum mechanics
Negative feedback control is a ubiquitous feature of biochemical systems, as is time delay between a signal and its response. Negative feedback in conjunction with time delay can lead to oscillations. In a cellular context, it might be beneficial to mitigate oscillatory behaviour to avoid recurring stress situations. This can be achieved by increasing the distance between the parameters of the system and certain thresholds, beyond which oscillations occur. This distance has been termed resistance. Here, we prove that in a generic three-dimensional negative feedback system the resistance of the system is modified by nested autoinhibitory feedbacks. Our system features negative feedbacks through both input-inhibition as well as output-activation, a signalling component with mass conservation and perfect adaptation. We show that these features render the system applicable to biological data, exemplified by the high osmolarity glycerol system in yeast and the mammalian p53 system. Output-activation is better supported by data than input-inhibition and also shows distinguished properties with respect to the system's stimulus. Our general approach might be useful in designing synthetic systems in which oscillations can be tuned by synthetic autoinhibitory feedbacks.

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