AbstractBiochemical 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 tak...
AbstractThe temporal dynamics of the concentrations of several proteins are tightly regulated, parti...
The stochastic mutual repressor model is analysed using perturbation methods. This simple model of a...
AbstractAutoregulatory feedback loops, where the protein expressed from a gene inhibits or activates...
AbstractBiochemical reaction networks are subjected to large fluctuations attributable to small mole...
Accepted for publication in Physical Review Letters.International audienceWe revisit the dynamics of...
Accepted for publication in Physical Review Letters.International audienceWe revisit the dynamics of...
The components that are central to cellular processing are proteins, whose production is regulated b...
[[abstract]]Background Noise has many important roles in cellular genetic regulatory functions at th...
We investigate the propagation of random fluctuations through biochemical networks in which the numb...
This manuscript presents a comparison of noise properties exhibited by two stochastic binary models ...
Abstract — Gene products (RNAs, proteins) often occur at low molecular counts inside individual cell...
The dynamics of transcriptional control involves small numbers of molecules and result in significan...
AbstractTranscriptional regulation is an inherently noisy process. The origins of this stochastic be...
AbstractGene regulatory networks are multistable dynamical systems in which attractor states represe...
AbstractWe quantify the potential landscape to determine the global stability and coherence of biolo...
AbstractThe temporal dynamics of the concentrations of several proteins are tightly regulated, parti...
The stochastic mutual repressor model is analysed using perturbation methods. This simple model of a...
AbstractAutoregulatory feedback loops, where the protein expressed from a gene inhibits or activates...
AbstractBiochemical reaction networks are subjected to large fluctuations attributable to small mole...
Accepted for publication in Physical Review Letters.International audienceWe revisit the dynamics of...
Accepted for publication in Physical Review Letters.International audienceWe revisit the dynamics of...
The components that are central to cellular processing are proteins, whose production is regulated b...
[[abstract]]Background Noise has many important roles in cellular genetic regulatory functions at th...
We investigate the propagation of random fluctuations through biochemical networks in which the numb...
This manuscript presents a comparison of noise properties exhibited by two stochastic binary models ...
Abstract — Gene products (RNAs, proteins) often occur at low molecular counts inside individual cell...
The dynamics of transcriptional control involves small numbers of molecules and result in significan...
AbstractTranscriptional regulation is an inherently noisy process. The origins of this stochastic be...
AbstractGene regulatory networks are multistable dynamical systems in which attractor states represe...
AbstractWe quantify the potential landscape to determine the global stability and coherence of biolo...
AbstractThe temporal dynamics of the concentrations of several proteins are tightly regulated, parti...
The stochastic mutual repressor model is analysed using perturbation methods. This simple model of a...
AbstractAutoregulatory feedback loops, where the protein expressed from a gene inhibits or activates...