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1.
PLoS One ; 11(3): e0151086, 2016.
Article in English | MEDLINE | ID: mdl-26958852

ABSTRACT

It is well known that single-gene circuits with negative feedback loop can lead to oscillatory gene expression when they operate with time delay. In order to generate these oscillations many processes can contribute to properly timing such delay. Here we show that the time delay coming from the transitions between internal states of the cis-regulatory system (CRS) can drive sustained oscillations in an auto-repressive single-gene circuit operating in a small volume like a cell. We found that the cooperative binding of repressor molecules is not mandatory for a oscillatory behavior if there are enough binding sites in the CRS. These oscillations depend on an adequate balance between the CRS kinetic, and the synthesis/degradation rates of repressor molecules. This finding suggest that the multi-site CRS architecture can play a key role for oscillatory behavior of gene expression. Finally, our results can also help to synthetic biologists on the design of the promoters architecture for new genetic oscillatory circuits.


Subject(s)
Gene Regulatory Networks/genetics , Computer Simulation , Gene Expression Regulation , Models, Genetic
2.
Cell Calcium ; 37(4): 321-32, 2005 Apr.
Article in English | MEDLINE | ID: mdl-15755493

ABSTRACT

We focused our attention on Ca(2+) release from the endoplasmic reticulum through a cluster of inositol(1,4,5)-trisphosphate (IP(3)) receptor channels. The random opening and closing of these receptors introduce stochastic effects that have been observed experimentally. Here, we present a stochastic version of Othmer-Tang model (OTM) for IP(3) receptor clusters. We address the average behavior of the channels in response to IP(3) stimuli. In our stochastic simulation we found that the fraction of open channels versus [IP(3)] follows a Hill curve, whose associate Hill coefficient increases when intracellular Ca(2+) level increase. This finding suggests that feedback from cytosolic Ca(2+) plays a key role in the channel response to IP(3). We also study several aspects of the stochastic properties of Ca(2+) release and we compare with experimental observations.


Subject(s)
Calcium Channels/metabolism , Calcium/metabolism , Receptors, Cytoplasmic and Nuclear/metabolism , Calcium Channels/physiology , Computer Simulation , Cytosol/physiology , Endoplasmic Reticulum/metabolism , Feedback, Physiological , Inositol 1,4,5-Trisphosphate Receptors , Models, Biological , Stochastic Processes
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