An excitable gene regulatory circuit induces transient cellular differentiation

By Gürol M. Süel, Jordi García-Ojalvo, Louisa M. Liberman, Michael B. Elowitz. Nature, 2006

772 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f800b9db9e2ad6581d575d5603c2a8896a220a13

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Citations in the corpus

Functional Motifs in Biochemical Reaction Networks (2010, background): “(66) to explain the competence network in bacteria.”
Nonequilibrium physics in biology (2019, background): “Together, ComK, ComS, and the MecA complex form an entangled regulatory network that involves both negative and positive feedback, which can generate excitable dynamics involving pulses of ComK production and hence bacterial competence (Süel et al., 2006, 2007).”
Inferring Biological Networks by Sparse Identification of Nonlinear Dynamics (2016, methodology): “[71] demonstrated that a dynamic gene network enables cells to switch between multiple behaviors – in this case B.”
Stochastic gene expression and its consequences (2008, background): “…ComK promotes its own expression: when the feedback loop is activated, high levels of ComK are produced, activating a host of downstream genes involved in DNA uptake, whereas noncompetent cells produce only low basal amounts of ComK (Maamar and Dubnau, 2005; Smits et al., 2005; Suel et al., 2006).”
A Recently Evolved Transcriptional Network Controls Biofilm Development in Candida albicans (2012, background): “Hence, transcription regulators represent a powerful entry point to understanding a biological process.”
Bistability in bacteria (2006, background): “It has been proposed based on experiments with fluorescence microscopy, that this negative feedback loop governs the escape from the competent state; a decrease in the ComS content of the competent cells would lead to increased degradation of ComK (Suel et al., 2006).”
Engineering microbial consortia: a new frontier in synthetic biology. (2008, background): “From the synthesis of an anti-malarial drug [12] to the study of microbial genetic competency [ 13 ], engineered microbes have advanced technology while providing insight into the workings of the cell.”
Cellular Decision-Making and Biological Noise: From Microbes to Mammals (2011, background): “Süel and colleagues developed a mathematical model, showing that the nested positive and negative feedback loops enable excitable dynamics (Figures 3B and 3C), generating pulses of ComKprotein expression and episodes of competence (Süel et al., 2006).”
Stochasticity and Cell Fate (2008, background): “Each cell makes a binary choice between these two states randomly [7-10].”
Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems (2016, background): “An earlier application of this approach led to a good understanding of the ubiquitous phenomenon of bistability in biological systems [511], where there are typically limit cycle attractors and, during cell cycle control, noise can trigger a differentiation process by driving the system from a limit”