Oscillatory expression of Hes1, p53, and NF-kappaB driven by transcriptional time delays.

By Nicholas A. M. Monk. Current Biology, 2003

725 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6b89e9675479ce532ce6ad91c0dae6a6b42e352f

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In Molecular Biology

Citations in the corpus

Stochasticity in gene expression: from theories to phenotypes (2005, background): “Despite the stabilizing effects described above, negative feedback can also have a destabilizing effect and so result in dampened or sustained oscillations if it involves a time dela”
Partial differential equations for self-organization in cellular and developmental biology (2008, background): “Estimates range from just over ten minutes to several hours [99, 100].”
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes (2008, neutral): “This example model describes the oscillatory behaviour of the concentration of mRNA and its corresponding protein level in a genetic regulatory network, introduced by Monk [10].”
Hopf bifurcation in a DDE model of gene expression (2008, methodology): “In this paper we analyze a simple model previously proposed in the biological literature [ 4 ], and we show that the transition between equilibrium and oscillation is a Hopf bifurcation.”
Functional Motifs in Biochemical Reaction Networks (2010, background): “, p53-Mdm2 and NFκB-IκBα) may actually be longer loops because the interactions involve transcription-translation delays and transport between nucleus and cytoplasm (43).”
Autoinhibition with transcriptional delay: a simple mechanism for the zebrafish somitogenesis oscillator. (2003, positive): “As Holley et al. [ 6 ], Hirata et al. what phase of the oscillation cycle it is itself in. [18], and Bessho et al. [17] have emphasized, negative feedback regulation of this sort provides the basis for an oscillator.”
Coherent Pattern Prediction in Swarms of Delay-Coupled Agents (2012, background): “models are common in many areas of mathematical biology including population dynamics, neural networks, blood cell maturation, virus dynamics, and genetic networks [29]–[37].”