Synthetic Biology: From Gene Circuits to Novel Biological Tools

Author(s):  
Nina G. Argibay ◽  
Eric M. Vazquez ◽  
Cortney E. Wilson ◽  
Travis J.A. Craddock ◽  
Robert P. Smith
2019 ◽  
Vol 41 (3) ◽  
pp. 24-27 ◽  
Author(s):  
Lucas M. Bush ◽  
Chelsea Gibbs ◽  
Tara L. Deans

Synthetic biology is a multidisciplinary field that focuses on the rational design and construction of novel genetic tools for the purpose of engineering cells to behave in controllable and predictable ways. The promise of this modern technology relies on our understanding of basic genetics and gene expression to engineer cells with unique functions. This is accomplished by designing biological parts and assembling them into higher-order gene circuits that control cell operations through tight regulation of gene expression, effectively reprogramming and rewiring the cells. In this article, we review the basic concepts of gene expression, discuss the framework of how synthetic biologists reprogram cells and outline how cells can be engineered to function as new vehicles for delivering therapeutic proteins.


2019 ◽  
Author(s):  
Philip Bittihn ◽  
Andriy Didovyk ◽  
Lev S. Tsimring ◽  
Jeff Hasty

AbstractRapid advances in cellular engineering1,2have positioned synthetic biology to address therapeutic3,4and industrial5problems, but a significant obstacle is the myriad of unanticipated cellular responses in heterogeneous environments such as the gut6,7, solid tumors8,9, bioreactors10or soil11. Complex interactions between the environment and cells often arise through non-uniform nutrient availability, which can generatebidirectionalcoupling as cells both adjust to and modify their local environment through different growth phenotypes across a colony.12,13While spatial sensing14and gene expression patterns15–17have been explored under homogeneous conditions, the mutual interaction between gene circuits, growth phenotype, and the environment remains a challenge for synthetic biology. Here, we design gene circuits which sense and control spatiotemporal phenotype patterns in a model system of heterogeneous microcolonies containing both growing and dormant bacteria. We implement pattern control by coupling different downstream modules to a tunable sensor module that leveragesE. coli⁉sstress response and is activated upon growth arrest. One is an actuator module that slows growth and thereby creates an environmental negative feedback via nutrient diffusion. We build a computational model of this system to understand the interplay between gene regulation, population dynamics, and chemical transport, which predicts oscillations in both growth and gene expression. Experimentally, this circuit indeed generates robust cycling between growth and dormancy in the interior of the colony. We also use the stress sensor to drive an inducible gating module that enables selective gene expression in non-dividing cells. The ‘stress-gated lysis circuit’ derived from this module radically alters the growth pattern through elimination of the dormant phenotype upon a chemical cue. Our results establish a strategy to leverage and control the presence of distinct microbial growth phenotypes for synthetic biology applications in complex environments.


2019 ◽  
Vol 116 (18) ◽  
pp. 9002-9007 ◽  
Author(s):  
Tetsuhiro Harimoto ◽  
Zakary S. Singer ◽  
Oscar S. Velazquez ◽  
Joanna Zhang ◽  
Samuel Castro ◽  
...  

Synthetic biology is transforming therapeutic paradigms by engineering living cells and microbes to intelligently sense and respond to diseases including inflammation, infections, metabolic disorders, and cancer. However, the ability to rapidly engineer new therapies far outpaces the throughput of animal-based testing regimes, creating a major bottleneck for clinical translation. In vitro approaches to address this challenge have been limited in scalability and broad applicability. Here, we present a bacteria-in-spheroid coculture (BSCC) platform that simultaneously tests host species, therapeutic payloads, and synthetic gene circuits of engineered bacteria within multicellular spheroids over a timescale of weeks. Long-term monitoring of bacterial dynamics and disease progression enables quantitative comparison of critical therapeutic parameters such as efficacy and biocontainment. Specifically, we screen Salmonella typhimurium strains expressing and delivering a library of antitumor therapeutic molecules via several synthetic gene circuits. We identify candidates exhibiting significant tumor reduction and demonstrate high similarity in their efficacies, using a syngeneic mouse model. Last, we show that our platform can be expanded to dynamically profile diverse microbial species including Listeria monocytogenes, Proteus mirabilis, and Escherichia coli in various host cell types. This high-throughput framework may serve to accelerate synthetic biology for clinical applications and for understanding the host–microbe interactions in disease sites.


2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Andreas K. Brödel ◽  
Alfonso Jaramillo ◽  
Mark Isalan

Abstract Synthetic biology has seen an explosive growth in the capability of engineering artificial gene circuits from transcription factors (TFs), particularly in bacteria. However, most artificial networks still employ the same core set of TFs (for example LacI, TetR and cI). The TFs mostly function via repression and it is difficult to integrate multiple inputs in promoter logic. Here we present to our knowledge the first set of dual activator-repressor switches for orthogonal logic gates, based on bacteriophage λ cI variants and multi-input promoter architectures. Our toolkit contains 12 TFs, flexibly operating as activators, repressors, dual activator–repressors or dual repressor–repressors, on up to 270 synthetic promoters. To engineer non cross-reacting cI variants, we design a new M13 phagemid-based system for the directed evolution of biomolecules. Because cI is used in so many synthetic biology projects, the new set of variants will easily slot into the existing projects of other groups, greatly expanding current engineering capacities.


Author(s):  
Nina G. Argibay ◽  
Eric M. Vazquez ◽  
Cortney E. Wilson ◽  
Travis J.A. Craddock ◽  
Robert P. Smith

2020 ◽  
Vol 48 (6) ◽  
pp. 3379-3394 ◽  
Author(s):  
Joan Miquel Bernabé-Orts ◽  
Alfredo Quijano-Rubio ◽  
Marta Vazquez-Vilar ◽  
Javier Mancheño-Bonillo ◽  
Victor Moles-Casas ◽  
...  

Abstract Synthetic biology has advanced from the setup of basic genetic devices to the design of increasingly complex gene circuits to provide organisms with new functions. While many bacterial, fungal and mammalian unicellular chassis have been extensively engineered, this progress has been delayed in plants due to the lack of reliable DNA parts and devices that enable precise control over these new synthetic functions. In particular, memory switches based on DNA site-specific recombination have been the tool of choice to build long-term and stable synthetic memory in other organisms, because they enable a shift between two alternative states registering the information at the DNA level. Here we report a memory switch for whole plants based on the bacteriophage ϕC31 site-specific integrase. The switch was built as a modular device made of standard DNA parts, designed to control the transcriptional state (on or off) of two genes of interest by alternative inversion of a central DNA regulatory element. The state of the switch can be externally operated by action of the ϕC31 integrase (Int), and its recombination directionality factor (RDF). The kinetics, memory, and reversibility of the switch were extensively characterized in Nicotiana benthamiana plants.


2015 ◽  
Vol 112 (47) ◽  
pp. 14429-14435 ◽  
Author(s):  
Shimyn Slomovic ◽  
Keith Pardee ◽  
James J. Collins

There is a growing need to enhance our capabilities in medical and environmental diagnostics. Synthetic biologists have begun to focus their biomolecular engineering approaches toward this goal, offering promising results that could lead to the development of new classes of inexpensive, rapidly deployable diagnostics. Many conventional diagnostics rely on antibody-based platforms that, although exquisitely sensitive, are slow and costly to generate and cannot readily confront rapidly emerging pathogens or be applied to orphan diseases. Synthetic biology, with its rational and short design-to-production cycles, has the potential to overcome many of these limitations. Synthetic biology devices, such as engineered gene circuits, bring new capabilities to molecular diagnostics, expanding the molecular detection palette, creating dynamic sensors, and untethering reactions from laboratory equipment. The field is also beginning to move toward in vivo diagnostics, which could provide near real-time surveillance of multiple pathological conditions. Here, we describe current efforts in synthetic biology, focusing on the translation of promising technologies into pragmatic diagnostic tools and platforms.


Biology ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 504
Author(s):  
Xiaofan Feng ◽  
Mario Andrea Marchisio

Synthetic gene circuits are made of DNA sequences, referred to as transcription units, that communicate by exchanging proteins or RNA molecules. Proteins are, mostly, transcription factors that bind promoter sequences to modulate the expression of other molecules. Promoters are, therefore, key components in genetic circuits. In this review, we focus our attention on the construction of artificial promoters for the yeast S. cerevisiae, a popular chassis for gene circuits. We describe the initial techniques and achievements in promoter engineering that predated the start of the Synthetic Biology epoch of about 20 years. We present the main applications of synthetic promoters built via different methods and discuss the latest innovations in the wet-lab engineering of novel promoter sequences.


Author(s):  
Jesús M. Miró ◽  
Alfonso Rodríguez-Patón

Synthetic biology and biomolecular computation are disciplines that fuse when it comes to designing and building information processing devices. In this chapter, we study several devices that are representative of this fusion. These are three gene circuits implementing logic gates, a DNA nanodevice and a biomolecular automaton. The operation of these devices is based on gene expression regulation, the so-called competitive hybridization and the workings of certain biomolecules like restriction enzymes or regulatory proteins. Synthetic biology, biomolecular computation, systems biology and standard molecular biology concepts are also defined to give a better understanding of the chapter. The aim is to acquaint readers with these biomolecular devices born of the marriage between synthetic biology and biomolecular computation.


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