Engineering stability in gene networks by autoregulation

作者: Attila Becskei , Luis Serrano

DOI: 10.1038/35014651

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摘要: The genetic and biochemical networks which underlie such things as homeostasis in metabolism the developmental programs of living cells, must withstand considerable variations random perturbations parameters. These occur transient changes in, for example, transcription, translation, RNA protein degradation. intensity duration these differ between cells a population. unique state thus diversity population, is owing to different environmental stimuli individual experience inherent stochastic nature processes (for refs 5 6). It has been proposed, but not demonstrated, that autoregulatory, negative feedback loops gene circuits provide stability, thereby limiting range over concentrations network components fluctuate. Here we have designed constructed simple consisting regulator transcriptional repressor modules Escherichia coli show gain stability produced by feedback.

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