Stochastic oscillations induced by intrinsic ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Stochastic oscillations induced by intrinsic fluctuations in a self-repressing gene
Auteur(s) :
Wang, Jingkui [Auteur]
Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 [PhLAM]
Lefranc, Marc [Auteur]
Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 [PhLAM]
Thommen, Quentin [Auteur correspondant]
Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 [PhLAM]
Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 [PhLAM]
Lefranc, Marc [Auteur]
Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 [PhLAM]
Thommen, Quentin [Auteur correspondant]
Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 [PhLAM]
Titre de la revue :
Biophysical Journal
Pagination :
2403–2416
Éditeur :
Biophysical Society
Date de publication :
2014-11-18
ISSN :
0006-3495
Mot(s)-clé(s) en anglais :
Hes1
Moment closure
Master equation
Self-repressing gene
genetic oscillations
Stochastic gene expression
Moment closure
Master equation
Self-repressing gene
genetic oscillations
Stochastic gene expression
Discipline(s) HAL :
Sciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
Informatique [cs]/Bio-informatique [q-bio.QM]
Informatique [cs]/Bio-informatique [q-bio.QM]
Résumé en anglais : [en]
Biochemical reaction networks are subjected to large fluctuations attributable to small molecule numbers, yet underlie reliable biological functions. Thus, it is important to understand how regularity can emerge from noise. ...
Lire la suite >Biochemical reaction networks are subjected to large fluctuations attributable to small molecule numbers, yet underlie reliable biological functions. Thus, it is important to understand how regularity can emerge from noise. Here, we study the stochastic dynamics of a self-repressing gene with arbitrarily long or short response time. We find that when the mRNA and protein half-lives are approximately equal to the gene response time, fluctuations can induce relatively regular oscillations in the protein concentration. To gain insight into this phenomenon at the crossroads of determinism and stochasticity, we use an intermediate theoretical approach, based on a moment-closure approximation of the master equation, which allows us to take into account the binary character of gene activity. We thereby obtain differential equations that describe how nonlinearity can feed-back fluctuations into the mean-field equations to trigger oscillations. Finally, our results suggest that the self-repressing Hes1 gene circuit exploits this phenomenon to generate robust oscillations, inasmuch as its time constants satisfy precisely the conditions we have identified.Lire moins >
Lire la suite >Biochemical reaction networks are subjected to large fluctuations attributable to small molecule numbers, yet underlie reliable biological functions. Thus, it is important to understand how regularity can emerge from noise. Here, we study the stochastic dynamics of a self-repressing gene with arbitrarily long or short response time. We find that when the mRNA and protein half-lives are approximately equal to the gene response time, fluctuations can induce relatively regular oscillations in the protein concentration. To gain insight into this phenomenon at the crossroads of determinism and stochasticity, we use an intermediate theoretical approach, based on a moment-closure approximation of the master equation, which allows us to take into account the binary character of gene activity. We thereby obtain differential equations that describe how nonlinearity can feed-back fluctuations into the mean-field equations to trigger oscillations. Finally, our results suggest that the self-repressing Hes1 gene circuit exploits this phenomenon to generate robust oscillations, inasmuch as its time constants satisfy precisely the conditions we have identified.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Source :
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- https://hal.archives-ouvertes.fr/hal-00687504v4/document
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- http://arxiv.org/pdf/1204.3310
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- https://hal.archives-ouvertes.fr/hal-00687504v4/document
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- https://hal.archives-ouvertes.fr/hal-00687504v4/document
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- document
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- Wang_Stochastic_Oscillations.pdf
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- 1204.3310
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