2019
DOI: 10.1101/548032
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Repressive gene regulation synchronizes development with cellular metabolism

Abstract: Metabolic conditions affect the developmental tempo of most animal species. Consequently, developmental gene regulatory networks (GRNs) must faithfully adjust their dynamics to a variable time scale. We find evidence that layered weak repression of genes provides the necessary coupling between GRN output and cellular metabolism. Using a mathematical model that replicates such a scenario, we find that lowering metabolism corrects developmental errors that otherwise occur when different layers of repression are … Show more

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Cited by 9 publications
(15 citation statements)
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“…In such scenario, the role of the microRNA regulation would be solely to control the “relaxation” rate of the protein level (e.g. Cassidy et al , ). Our model does not exclude a role for protein level threshold and is indeed not mutually exclusive with this traditional view.…”
Section: Discussionmentioning
confidence: 99%
“…In such scenario, the role of the microRNA regulation would be solely to control the “relaxation” rate of the protein level (e.g. Cassidy et al , ). Our model does not exclude a role for protein level threshold and is indeed not mutually exclusive with this traditional view.…”
Section: Discussionmentioning
confidence: 99%
“…Similar to a lower temperature, reduced metabolism decreases the pace of Drosophila development and has recently been shown to increase robustness by decreasing developmental errors ( 58 ). While the mechanism of error suppression in this study is likely different from the temperature-effects observed here, we note that scalable relative connectivity is also likely more robust at lower temperatures because the synaptic ratio of high-probability synapses is established by larger numbers.…”
Section: Discussionmentioning
confidence: 99%
“…For this methodology to be relevant in the prevention of disease and improvement of public health, researchers need to move from descriptive inductive modes of analysis to explanatory models with predictions and testable hypotheses. In particular, researchers need to establish social media not just as a tool for observation, but also as the foundation for explanatory models of the generative factors in health behavior and outcomes, of the type that computational and complexity sciences are already producing, e.g., in molecular and organismal biology (189).…”
Section: Resultsmentioning
confidence: 99%