Fig. 6: Genetic layout of the optimizer module.
From: A blueprint for a synthetic genetic feedback optimizer
The realization relies on genetic parts and modules that are already available, in particular: (i) protein-based transcriptional control50; (ii) inducible degradation via the M. florum Lon protease and ssrA tag47,48; (iii) a repressilator-based oscillator43,44; (iv) CRISPRi-based toggle switches51; and (v) STAR-based logic gates53,54. The mass action kinetics-based mathematical model underpinning the dynamics of the integrated system is included in Supplementary Section 2.1, together with detailed discussion of the typical range of model parameters in Supplementary Section 2.2, and their selected values in Supplementary Table 1. Here, we assume that the host genome is already equipped with a dCas9 expression cassette95, otherwise the optimizer must also include it.
