Synthetic biological circuit

Synthetic biological circuits are an application of synthetic biology where biological parts inside a cell are designed to perform logical functions mimicking those observed in electronic circuits. The applications range from simply inducing production to adding a measurable element, like GFP, to an existing natural biological circuit, to implementing completely new systems of many parts. Synthetic biological circuits are an application of synthetic biology where biological parts inside a cell are designed to perform logical functions mimicking those observed in electronic circuits. The applications range from simply inducing production to adding a measurable element, like GFP, to an existing natural biological circuit, to implementing completely new systems of many parts. The goal of synthetic biology is to generate an array of tunable and characterized parts, or modules, with which any desirable synthetic biological circuit can be easily designed and implemented. These circuits can serve as a method to modify cellular functions, create cellular responses to environmental conditions, or influence cellular development. By implementing rational, controllable logic elements in cellular systems, researchers can use living systems as engineered 'biological machines' to perform a vast range of useful functions. The first natural gene circuit studied in detail was the lac operon. In studies of diauxic growth of E. coli on two-sugar media, Jacques Monod and Francois Jacob discovered that E.coli preferentially consumes the more easily processed glucose before switching to lactose metabolism. They discovered that the mechanism that controlled the metabolic 'switching' function was a two-part control mechanism on the lac operon. When lactose is present in the cell the enzyme β-galactosidase is produced to convert lactose into glucose or galactose. When lactose is absent in the cell the lac repressor inhibits the production of the enzyme β-galactosidase to prevent any inefficient processes within the cell. The lac operon is used in the biotechnology industry for production of recombinant proteins for therapeutic use. The gene or genes for producing an exogenous protein are placed on a plasmid under the control of the lac promoter. Initially the cells are grown in a medium that does not contain lactose or other sugars, so the new genes are not expressed. Once the cells reach a certain point in their growth, Isopropyl β-D-1-thiogalactopyranoside (IPTG) is added. IPTG, a molecule similar to lactose, but with a sulfur bond that is not hydrolyzable so that E. Coli does not digest it, is used to activate or 'induce' the production of the new protein. Once the cells are induced, it is difficult to remove IPTG from the cells and therefore it is difficult to stop expression. Two early examples of synthetic biological circuits were published in Nature in 2000. One, by Tim Gardner, Charles Cantor, and Jim Collins working at Boston University, demonstrated a 'bistable' switch in E. coli. The switch is turned on by heating the culture of bacteria and turned off by addition of IPTG. They used GFP as a reporter for their system. The second, by Michael Elowitz and Stanislas Leibler, showed that three repressor genes could be connected to form a negative feedback loop termed the Repressilator that produces self-sustaining oscillations of protein levels in E. coli. Currently, synthetic circuits are a burgeoning area of research in systems biology with more publications detailing synthetic biological circuits published every year. There has been significant interest in encouraging education and outreach as well: the International Genetically Engineered Machines Competition manages the creation and standardization of BioBrick parts as a means to allow undergraduate and high school students to design their own synthetic biological circuits. Both immediate and long term applications exist for the use of synthetic biological circuits, including different applications for metabolic engineering, and synthetic biology. Those demonstrated successfully include pharmaceutical production, and fuel production. However methods involving direct genetic introduction are not inherently effective without invoking the basic principles of synthetic cellular circuits. For example, each of these successful systems employs a method to introduce all-or-none induction or expression. This is a biological circuit where a simple repressor or promoter is introduced to facilitate creation of the product, or inhibition of a competing pathway. However, with the limited understanding of cellular networks and natural circuitry, implementation of more robust schemes with more precise control and feedback is hindered. Therein lies the immediate interest in synthetic cellular circuits. Development in understanding cellular circuitry can lead to exciting new modifications, such as cells which can respond to environmental stimuli. For example, cells could be developed that signal toxic surroundings and react by activating pathways used to degrade the perceived toxin. To develop such a cell, it is necessary to create a complex synthetic cellular circuit which can respond appropriately to a given stimulus. Given synthetic cellular circuits represent a form of control for cellular activities, it can be reasoned that with complete understanding of cellular pathways, 'plug and play' cells with well defined genetic circuitry can be engineered. It is widely believed that if a proper toolbox of parts is generated, synthetic cells can be developed implementing only the pathways necessary for cell survival reproduction. From this cell, to be thought of as a minimal genome cell, one can add pieces from the toolbox to create a well defined pathway with appropriate synthetic circuitry for an effective feedback system. Because of the basic ground up construction method, and the proposed database of mapped circuitry pieces, techniques mirroring those used to model computer or electronic circuits can be used to redesign cells and model cells for easy troubleshooting and predictive behavior and yields.