Inherent regulatory asymmetry emanating from network architecture in a prevalent autoregulatory motif
Robert Brewster
Predicting gene expression from DNA sequence remains a major goal in the field of gene regulation. A challenge to this goal is the connectivity of the network, whose role in altering gene expression remains unclear. Here, we study a common autoregulatory network motif, the negative single-input module, to explore the regulatory properties inherited from the motif. Using stochastic simulations and a synthetic biology approach in E. coli, we find that the TF gene and its...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see
our documentation.