scholarly journals Multiplexed Screening of Population-level Synthetic Gene Oscillator Libraries

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.

2019 ◽  
Author(s):  
Neil Dalchau ◽  
Paul K. Grant ◽  
Prashant Vaidyanathan ◽  
Carlo Spaccasassi ◽  
Colin Gravill ◽  
...  

AbstractThe dynamic behavior of synthetic gene circuits plays a key role in ensuring their correct function. Although there has been substantial work on modeling dynamic behavior after circuit construction, the forward engineering of dynamic behavior remains a major challenge. Previous engineering methods have focused on quantifying average behaviors of circuits over an extended time window, however this provides a static characterization of behavior that is a poor predictor of dynamics. Here we present a method for characterizing the dynamic behavior of synthetic gene circuits, using parameter inference of dynamical system models applied to time-series measurements of cell cultures growing in microtiter plates. We demonstrate that the behaviors of simple devices can be characterized dynamically and used to predict the behaviors of more complex circuits. Specifically, we compose 23 biological parts into 9 devices and use them to design 9 synthetic gene circuits in E. coli that provide core functionality for engineering cell behavior at the population level, including relays, receivers and a degrader. We embody our method in a software package and corresponding programming language. Our method supports the notion of an inference graph for iterative inference of models as new circuits are constructed, without the need to infer all models from scratch, and lays the foundation for characterizing large libraries of synthetic gene circuits in a scalable manner.


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.


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