PT - JOURNAL ARTICLE AU - Enoch Yeung AU - Aaron J. Dy AU - Kyle B. Martin AU - Andrew H. Ng AU - Domitilla Del Vecchio AU - James L. Beck AU - James J. Collins AU - Richard M. Murray TI - The Effect of Compositional Context on Synthetic Gene Networks AID - 10.1101/083329 DP - 2016 Jan 01 TA - bioRxiv PG - 083329 4099 - http://biorxiv.org/content/early/2016/11/30/083329.short 4100 - http://biorxiv.org/content/early/2016/11/30/083329.full AB - It is well known that synthetic gene expression is highly sensitive to how comprising genetic elements (promoter structure, spacing regions between promoter and coding sequences, ribosome binding sites, etc.) are spatially configured. An important topic that has received far less attention is how the physical layout of entire genes within a synthetic gene network affects their individual expression levels. In this paper we show, both quantitatively and qualitatively, that compositional context can significantly alter expression levels in synthetic gene networks. We also show that these compositional context effects are pervasive both at the transcriptional and translational level. Further, we demonstrate that key characteristics of gene induction, such as ultra-sensitivity and dynamic range, are heavily dependent on compositional context. We postulate that supercoiling can be used to explain these interference effects and validate this hypothesis through modeling and a series of in vitro supercoiling relaxation experiments. On the whole, these results suggest that compositional context introduces feedback in synthetic gene networks. As an illustrative example, we show that a design strategy incorporating compositional context effects can improve threshold detection and memory properties of the toggle switch.