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Stochastic comparison of synchronization in activator- and repressor-based coupled gene oscillators
by
A B M Shamim Ul Hasan
, Singh, Abhyudai
, Kurata, Hiroyuki
, Dey, Supravat
in
Embryogenesis
/ Molecular modelling
/ mRNA
/ Oscillators
/ Pattern formation
/ Segmentation
/ Stochasticity
/ Synchronization
/ Systems Biology
2021
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Stochastic comparison of synchronization in activator- and repressor-based coupled gene oscillators
by
A B M Shamim Ul Hasan
, Singh, Abhyudai
, Kurata, Hiroyuki
, Dey, Supravat
in
Embryogenesis
/ Molecular modelling
/ mRNA
/ Oscillators
/ Pattern formation
/ Segmentation
/ Stochasticity
/ Synchronization
/ Systems Biology
2021
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Do you wish to request the book?
Stochastic comparison of synchronization in activator- and repressor-based coupled gene oscillators
by
A B M Shamim Ul Hasan
, Singh, Abhyudai
, Kurata, Hiroyuki
, Dey, Supravat
in
Embryogenesis
/ Molecular modelling
/ mRNA
/ Oscillators
/ Pattern formation
/ Segmentation
/ Stochasticity
/ Synchronization
/ Systems Biology
2021
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Stochastic comparison of synchronization in activator- and repressor-based coupled gene oscillators
Paper
Stochastic comparison of synchronization in activator- and repressor-based coupled gene oscillators
2021
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Overview
Inside living cells, proteins or mRNA can show oscillations even without a periodic driving force. Such genetic oscillations are precise timekeepers for cell-cycle regulations, pattern formation during embryonic development in higher animals, and daily cycle maintenance in most organisms. The synchronization between oscillations in adjacent cells happens via intercellular coupling, which is essential for periodic segmentation formation in vertebrates and other biological processes. While molecular mechanisms of generating sustained oscillations are quite well understood, how do simple intercellular coupling produces robust synchronizations are still poorly understood? To address this question, we investigate two models of coupled gene oscillators - activator-based coupled oscillators (ACO) and repressor-based coupled oscillators (RCO) models. In our study, a single autonomous oscillator (that operates in a single cell) is based on a negative feedback, which is delayed by intracellular dynamics of an intermediate species. For the ACO model (RCO), the repressor protein of one cell activates (represses) the production of another protein in the neighbouring cell after a intercellular time delay. We investigate the coupled models in the presence of intrinsic noise due to the inherent stochasticity of the biochemical reactions. We analyze the collective oscillations from stochastic trajectories in the presence and absence of explicit coupling delay and make careful comparison between two models. Our results show no clear synchronizations in the ACO model when the coupling time delay is zero. However, a non-zero coupling delay can lead to anti-phase synchronizations in ACO. Interestingly, the RCO model shows robust in-phase synchronizations in the presence and absence of the coupling time delay. Our results suggest that the naturally occurring intercellular couplings might be based on repression rather than activation where in-phase synchronization is crucial. Competing Interest Statement The authors have declared no competing interest.
Publisher
Cold Spring Harbor Laboratory Press,Cold Spring Harbor Laboratory
Subject
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