scholarly journals Synthetic Gene Circuits: Design with Directed Evolution

Author(s):  
Eric L. Haseltine ◽  
Frances H. Arnold
2021 ◽  
Author(s):  
Andrew Lezia ◽  
Nicholas Csicsery ◽  
Jeff Hasty

Directed evolution has become an invaluable tool in protein engineering and has greatly influenced the construction of synthetic gene circuits. The ability to generate diversity at precise targets for directed evolution approaches has improved vastly, allowing researchers to create large, specific mutant libraries with relative ease. Screening approaches for large mutant libraries have similarly come a long way, especially when the desired behavior can easily be tested for with static, single time-point assays. For more complex gene circuits with dynamic phenotypes that change over time, directed evolution approaches to controlling and tuning circuit behavior have been hindered by the lack of sufficiently high-throughput screening methods to isolate variants with desired characteristics. Here we utilize directed mutagenesis and multiplexed microfluidics to develop a workflow for creating, screening and tuning dynamic gene circuits that operate at the population level. Specifically, we create a mutant library of an existing oscillator, the synchronized lysis circuit, and tune its dynamics while uncovering principles regarding its behavior. Lastly, we utilize this directed evolution workflow to construct a new synchronized genetic oscillator that exhibits robust dynamics over long time scales.


2021 ◽  
pp. 1-18
Author(s):  
Andrew Lezia ◽  
Arianna Miano ◽  
Jeff Hasty

Author(s):  
Barbara Jusiak ◽  
Ramiz Daniel ◽  
Fahim Farzadfard ◽  
Lior Nissim ◽  
Oliver Purcell ◽  
...  

2017 ◽  
Vol 1 (1) ◽  
pp. 30-39 ◽  
Author(s):  
Huijuan Wang ◽  
Maurice H.T. Ling ◽  
Tze Kwang Chua ◽  
Chueh Loo Poh

2019 ◽  
Author(s):  
Javier Santos-Moreno ◽  
Eve Tasiudi ◽  
Joerg Stelling ◽  
Yolanda Schaerli

AbstractGene expression control based on CRISPRi (clustered regularly interspaced short palindromic repeats interference) has emerged as a powerful tool for creating synthetic gene circuits, both in prokaryotes and in eukaryotes; yet, its lack of cooperativity has been pointed out as a potential obstacle for dynamic or multistable circuit construction. Here we use CRISPRi to build prominent synthetic gene circuits in Escherichia coli. We report the first-ever CRISPRi oscillator (“CRISPRlator”), bistable network (toggle switch) and stripe pattern-forming incoherent feed-forward loop (IFFL). Our circuit designs, conceived to feature high predictability and orthogonality, as well as low metabolic burden and context-dependency, allowed us to achieve robust circuit behaviors. Mathematical modeling suggests that unspecific binding in CRISPRi is essential to establish multistability. Our work demonstrates the wide applicability of CRISPRi in synthetic circuits and paves the way for future efforts towards engineering more complex synthetic networks, boosted by the advantages of CRISPR technology.


2021 ◽  
Author(s):  
Kevin S. Farquhar ◽  
Michael Tyler Guinn ◽  
Gábor Balázsi ◽  
Daniel A. Charlebois

Mathematical models and synthetic gene circuits are powerful tools to develop novel treatments for patients with drug-resistant infections and cancers. Mathematical modeling guides the rational design of synthetic gene circuits. These systems are then assembled into unified constructs from existing and/or modified genetic components from a range of organisms. In this chapter, we describe modeling tools for the design and characterization of chemical- and light-inducible synthetic gene circuits in different organisms and highlight how synthetic gene circuits are advancing biomedical research. Specifically, we demonstrate how these quantitative model systems are being used to study drug resistance in microbes and to probe the spatial–temporal dimensions of cancer in mammalian cells.


Sign in / Sign up

Export Citation Format

Share Document