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Reliability of Transcriptional Cycles and the Yeast Cell-Cycle Oscillator
Author(s) -
Volkan Sevi̇m,
Xinwei Gong,
Joshua E. S. Socolar
Publication year - 2010
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1000842
Subject(s) - reliability (semiconductor) , yeast , stability (learning theory) , gene regulatory network , noise (video) , biology , computer science , biological system , construct (python library) , negative feedback , control theory (sociology) , saccharomyces cerevisiae , physics , genetics , power (physics) , control (management) , gene , artificial intelligence , gene expression , quantum mechanics , voltage , machine learning , image (mathematics) , programming language
A recently published transcriptional oscillator associated with the yeast cell cycle provides clues and raises questions about the mechanisms underlying autonomous cyclic processes in cells. Unlike other biological and synthetic oscillatory networks in the literature, this one does not seem to rely on a constitutive signal or positive auto-regulation, but rather to operate through stable transmission of a pulse on a slow positive feedback loop that determines its period. We construct a continuous-time Boolean model of this network, which permits the modeling of noise through small fluctuations in the timing of events, and show that it can sustain stable oscillations. Analysis of simpler network models shows how a few building blocks can be arranged to provide stability against fluctuations. Our findings suggest that the transcriptional oscillator in yeast belongs to a new class of biological oscillators.

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