|SEARCH TERM: synthetic fluorescent filamentation|
|This is one of the most important topics in Morgellons. The following article describes a method of producing a fluorescent fiber using a synthetic toggle switch. When the bacteria is exposed to a specific chemical, growth is triggered to form a fiber based on a length of time following exposure. This or something similar is what triggers growth of the fluorescent fibers in Morgellons. This is a recent study but this technology has been around for about 10 years, following the invention of this synthetic switch.|
The Bacterial Nanorecorder: Engineering E. coli
2000 Jan 20;403(6767):339-42.
Construction of a genetic toggle switch in Escherichia coli.
Source. Department of Biomedical Engineering, Center for BioDynamics, Boston University, Massachusetts 02215, USA.
Abstract. It has been proposed’ that gene-regulatory circuits with virtually any desired property can be constructed from networks of simple regulatory elements. These properties, which include multistability and oscillations, have been found in specialized gene circuits such as the bacteriophage lambda switch and the Cyanobacteria circadian oscillator. However, these behaviours have not been demonstrated in networks of non-specialized regulatory components. Here we present the construction of a genetic toggle switch-a synthetic, bistable gene-regulatory network-in Escherichia coli and provide a simple theory that predicts the conditions necessary for bistability. The toggle is constructed from any two repressible promoters arranged in a mutually inhibitory network. It is flipped between stable states using transient chemical or thermal induction and exhibits a nearly ideal switching threshold. As a practical device, the toggle switch forms a synthetic, addressable cellular memory unit and has implications for biotechnology, biocomputing and gene therapy.
Synthetic Biology: Applications Come of Age
Abstract. Synthetic biology is bringing together engineers and biologists to design and build novel biomolecular components, networks and pathways, and to use these constructs to rewire and reprogram organisms. These re-engineered organisms will change our lives in the coming years, leading to cheaper drugs, “green” means to fuel our cars, and targeted therapies to attack “superbugs” and diseases such as cancer. The de novoengineering of genetic circuits, biological modules, and synthetic pathways is beginning to address these critical problems and is being used in related practical applications.The circuit-like connectivity of biological parts and their ability to collectively process logical operations was first appreciated nearly 50 years ago1. This inspired attempts to describe biological regulation schemes with mathematical models2–5 and to apply circuit analogies from established frameworks in electrical engineering6, 7. Meanwhile, breakthroughs in genomic research and genetic engineering (e.g., recombinant DNA technology) were supplying the inventory and methods necessary to physically construct and assemble biomolecular parts. As a result, synthetic biology was born with the broad goal of engineering or “wiring” biological circuitry—be it genetic, protein, viral, pathway, or genomic—for manifesting logical forms of cellular control. Synthetic biology, equipped with the engineering-driven approaches of modularization, rationalization, and modeling, has progressed rapidly and generated an ever-increasing suite of genetic devices and biological modules.
The successful design and construction of the first synthetic gene networks—the genetic toggle switch8 and the repressilator9 (Box 1)—demonstrated that engineering-based methodology could indeed be applied to build sophisticated, computing-like behaviour into biological systems. In these two cases, basic transcriptional regulatory elements were designed and assembled to realize the biological equivalents of electronic memory storage and timekeeping (Box 1). Within the framework provided by these two synthetic systems, biological circuits can be built from smaller well-defined parts according to model blueprints, they can be studied and tested in isolation, and their behaviour can be evaluated against model predictions of the system dynamics. This methodology has subsequently been applied in the synthetic construction of additional genetic switches8, 10–18, memory elements8, 14, 15, 19, and oscillators9, 10, 20–23, as well as of other electronics-inspired genetic devices, including pulse generators24, digital logic gates25–30, filters31–33, and communication modules23, 31, 34, 35.
Now, ten years after the demonstration of synthetic biology’s inaugural devices8, 9, engineered biomolecular networks are beginning to move into the application stage and yield solutions to many complex societal problems. While much work remains on elucidating biological design principles36, this foray into practical applications signals an exciting coming-of-age time for the field.Here, we review the practical application of synthetic biology to biosensing, therapeutics, and the production of biofuels, pharmaceuticals and novel biomaterials [AND BIOWEAPONS]. Many of the examples herein do not fit exclusively or neatly into only one of these three application categories; however, it is precisely this multivalent applicability that makes synthetic biology platforms so powerful and promising.
Cells have evolved a myriad of regulatory circuits—from transcriptional to post-translational—for sensing and responding to diverse and transient environmental signals. These circuits consist of exquisitely tailored sensitive elements that bind analytes and set signal detection thresholds, and transducer modules that filter the signals and mobilize a cellular response (Box 2). The two basic sensing modules must be delicately balanced: this is achieved by programming modularity and specificity into biosensing circuits at the transcriptional, translational and post-translational levels, as described below.
As the first dedicated phase of gene expression, transcription serves as one method by which cells mobilize a cellular response to an environmental perturbation. As such, the transcription machinery, which includes the genes to be expressed, their promoters, RNA polymerase and transcription factors [these are what are engineered in Morgellons], all serve as potential engineering components for transcriptional biosensors. Most synthetic designs have focused on the promoters and their associated transcription factors, given the abundance of known and characterized prokaryotic and eukaryotic environment-responsive promoters, which include the well-known promoters of the Escherichia coli (E. coli) lac, tet, and araoperons. Both the sensory and transducer behaviours of a biosensor can be placed under synthetic control by directly engineering environment-responsive promoter sequences. In fact, this was the early design strategy adopted to establish inducible expression systems37–40. By introducing, removing, or modifying activator and repressor sites, a promoter’s sensitivity to a molecule can be tuned. Synthetic mammalian transactivation systems are generic versions of this strategy, in which an environmentally-sensitive transcription factor is fused to a mammalian transactivation domain to cause inducer-dependent changes in gene expression. Synthetic mammalian biosensors based on this scheme have been created for sensing signals such as antibiotics41–43, quorum-sensing molecules44, 45, gases and metabolites46–49, and temperature changes50, 51. Fussenegger and colleagues have even incorporated this transgene design into mammalian circuits, creating synthetic networks that are responsive to electrical signals52. While the engineering of environment-responsive promoters has been valuable and useful, additional control over modularity and specificity can be achieved by embedding environment-responsive promoters within engineered gene networks. Achieving true modularity with genetic parts is inherently difficult because of unintended interference among native and synthetic parts, and therefore requires careful decoupling of functional modules. One such modular design strategy was employed by Kobayashi et al.34 to develop whole-cell E. coli biosensors that respond to signals in a programmable fashion. In this design, a sensory module (i.e., an environment-responsive promoter and associated transcription factor) was coupled to an engineered gene circuit that functions like a central processing unit. E. coli cells were programmed to respond to a deleterious endogenous input, specifically, DNA-damaging stimuli such as UV radiation or mitomycin C. The gene circuit, which was chosen to be the toggle switch described above (see Box 1), processes the incoming sensory information and flips from an ‘off’ to an ‘on’ state when a signal threshold is exceeded. Because the biosensor has a decoupled, modular nature, it can be wired to any desired output, from the expression of a standard fluorescent reporter to the activation of natural phenotypes, such as biofilm formation (e.g., via expression of traA gene) or cell suicide (e.g., via expression of ccdBgene).Sometimes a single signal may be too general to characterize or define an environment. For such situations, Anderson et al.25 devised a transcriptional AND gate that could be used to integrate multiple environmental signals into a single genetic circuit (Box 2a), thus programming the desired level of biosensing specificity. Genetic biosensors of this sort could be useful for communicating the state of a specific microenvironment (e.g., in an industrial bioreactor) within a “sea” of environmental conditions such as temperature, metabolite levels, or cell density.
RNA molecules have a diverse and important set of cellular functions53. Noncoding RNAs can splice and edit RNA, modify ribosomal RNA, catalyze biochemical reactions, and regulate gene expression at the level of transcription or translation53–56. This last regulatory subset of noncoding RNAs57–59 is well-suited for rational design60 and, in particular, for biosensing applications.
The diversity and complexity of signal transduction pathways are vast. Factors such as the nature of the molecular interactions, the number of interconnected proteins in a cascade, and the use of spatial mechanisms dictate which signals are transmitted, whether a signal is amplified or attenuated, and the dynamics of the response. Despite the multitude of factors and interacting components, signal transduction pathways are, in the simplest sense, hierarchical schemes based on sensitive elements and downstream transducer modules, and can be rationalized as such for engineering protein-based biosensors.The primary sensitive element for most signal transduction pathways is the protein receptor. Whereas environment-responsive promoters and RNA aptamers are typically identified from nature or selected with high-throughput combinatorial methods, protein receptors can be designed de novo at the level of molecular interactions. Looger et al.77, for instance, devised a computational method for redesigning natural protein receptors to bind new target ligands. Starting with a “basis” of five proteins from the E. coli periplasmic binding protein (PBP) superfamily, the researchers replaced each of the wild-type (WT) ligands with a new, non-native target ligand and then used an algorithm to combinatorially explore all binding pocket residue mutations and ligand-docking configurations. This procedure was used to predict novel receptors for a carcinogen and explosive (trinitrotoluene, TNT), a medically-important metabolite (L-lactate), and a chemical associated with psychiatric conditions (serotonin). The predicted receptor designs were experimentally confirmed to be strong and specific in vitro sensors, as well as in vivocell-based biosensors.Protein receptors, such as the ones discussed above, are typically membrane-bound; they trigger protein signaling cascades that ultimately result in a cellular response. However, several synthetic methods can be employed to transmit captured sensory information in a tunable and desirable manner. Skerker et al.78 rationally rewired the transmission of information through two-component systems, by identifying rules governing the specificity of a histidine kinase to its cognate response regulator. Alternatively, engineered protein scaffolds can be designed to physically recruit pathway modulators and synthetically reshape the dynamical response behaviour of a system79 (Box 2c). This constitutes a modular method for programming protein-based biosensors to have any desired response, including accelerated, delayed or ultrasensitive responses, to upstream signals.
Combining synthetic transcriptional, translational, and post-translational circuits into hybrid solutions, and harnessing desired characteristics from each, could lead to the creation of cell-based biosensors that are as robust as those of natural organisms. Using a synthetic hybrid approach, Voigt and colleagues developed E. coli-based optical sensors80–82. A synthetic sensor kinase was engineered to allow cells to identify and report the presence of red light. As a result, a bacterial lawn of the engineered cells could faithfully “print” a projected image, in the biological equivalent of photographic film. Specifically, a membrane-bound photoreceptor from cyanobacteria was fused to an E. coli intracellular histidine kinase to induce light-dependent changes in gene expression80 (Box 2d). In a clever example of its use, the bacterial optical sensor was applied in image edge detection82. In this case, by wiring the optical sensor to transcriptional circuits that perform cell-cell communication (quorum sensing system from Vibrio fischeri) and logical functions (Box 2d), the researchers programmed only the cells that receive light anddirectly neighbor cells that do not receive light to produce a pigment, thus tracing the edges of a projected image. Indeed, this work shows that complex behaviour can emerge from properly wiring together smaller genetic programs, with unique advantages to real-world applications.
Human health is afflicted by new and old foes, including emergent drug-resistant microbes, cancer, and obesity. All the while, progress in medicine is faced with challenges at each stage of the therapeutic spectrum, ranging from the drying up of pharmaceutical pipelines to limited global access to viable medicines. In a relatively short amount of time, synthetic biology has made promising strides in reshaping and streamlining this spectrum (Box 3). Indeed, the rational and model-guided construction of biological parts is enabling new therapeutic platforms, from the identification of disease mechanisms and druggable targets to the production and delivery of small molecules.
An electrical engineer is likely to prototype portions of a circuit on a breadboard before printing it as an entire integrated circuit. This allows for the rigorous testing of submodules in an isolated, well-characterized environment. Similarly, synthetic biology provides a framework for synthetically reconstructing natural biological systems to explore how pathological behaviours may emerge. This strategy was employed to lend mechanistic insight into a primary immunodeficiency, known as agammaglobulinemia, in which patients cannot generate mature B cells and as a result are unable to properly fight infections83. The researchers developed a synthetic testbed by systematically reconstructing the various components of the human B cell antigen receptor (BCR) signaling pathway in an orthogonal environment. This allowed them to identify network topology features that trigger BCR signaling and assembly. A rare mutation in the Igβ-encoding gene, identified in one patient, was then introduced into the synthetic system and shown to abolish assembly of the BCR on the cell surface, thereby linking this faulty pathway component with disease onset. Pathogenic viral genomes can similarly be reconstructed to study the molecular underpinnings of infectious disease pandemics. For instance, synthetic reconstruction of the Severe Acquired Respiratory Syndrome (SARS) coronavirus84 and the 1918 Spanish influenza virus85helped to identify genetic mutations that may have conferred human tropism and increased virulence.
Drug Target Identification
Building up synthetic pathways and systems from individual parts is one way of identifying disease mechanisms and therapeutic targets. Another is to deploy synthetic biology devices to systematically probe the function of individual components of a natural pathway. Our group, for instance, has engineered modular riboregulators that can be used to tune the expression of a toxic protein or any gene within a biological network86. To achieve post-transcriptional control over a target gene, the mRNA sequence of its 5′-UTR was designed to form a hairpin structure that sequesters the ribosomal binding site (RBS) and prevents ribosome access to it. Translational repression of this cis-repressed mRNA could then be alleviated by an independently regulated trans-activating RNA that targets the stem-loop for unfolding. Engineered riboregulators were used in a subsequent study to tightly regulate the expression of CcdB, a toxic bacterial protein that inhibits DNA gyrase, so as to gain a better understanding of the sequence of events leading to induced bacterial cell death87. These synthetic biology studies, in conjunction with systems biology studies of quinolones (antibiotics that inhibit gyrase)87, led to the discovery that all major classes of bactericidal antibiotics induce a common oxidative damage cellular death pathway88, 89. This work provided new insights into how bacteria respond to lethal stimuli, and paved the way for the development of more effective antibacterial therapies.
Drug Discovery. Once a faulty pathway component or target is identified, whole-cell screening assays can be designed using synthetic biology strategies for drug discovery. As a demonstration of this approach, Fussenegger and colleagues90 developed a synthetic platform for screening small molecules that could potentiate a Mycobacterium tuberculosis antibiotic (Box 3a). Ethionamide, currently the last line of defense in the treatment of multidrug-resistant tuberculosis, depends on activation by the M. tuberculosis enzyme EthA for efficacy. Due to transcriptional repression of ethA by the protein EthR, however, ethionamide-based therapy is often rendered ineffective. To address this problem, the researchers designed a synthetic mammalian gene circuit, featuring an EthR-based transactivator of a reporter gene, and used it to screen for and identify EthR inhibitors that could abrogate resistance to ethionamide. Importantly, because the system is a cell-based assay, it intrinsically enriches for inhibitors that are nontoxic and membrane-permeable to mammalian cells, which are key drug criteria as M. tuberculosisis an intracellular pathogen. This framework, in which drug discovery is applied to whole cells that have been engineered with circuits that highlight a pathogenic mechanism, could be extended to other diseases and phenotypes.
Synthetic biology devices have additionally been developed to serve as therapies themselves. Entire engineered viruses and organisms can be programmed to target specific pathogenic agents and pathological mechanisms. In two separate studies91, 92, for instance, engineered bacteriophages were deployed to combat antibiotic-resistant bacteria, by endowing them with genetic mechanisms that target and thwart bacteria’s antibiotic evasion techniques. The first study was prompted by the observation that biofilms, in which bacteria are encapsulated in an extracellular matrix, have inherent resistance to antimicrobial therapies and are implicated sources of persistent infections. To more effectively penetrate this protective environment, T7 phage was engineered to express the biofilm matrix-degrading enzyme dispersin B (DspB) upon infection91. The two-pronged attack of phage-induced lysis fueling the creation and spread of matrix-degrading enzyme resulted in 99.997% removal of biofilm bacterial cells.In the second study92, it was hypothesized that inhibition of certain bacterial genetic programs could help current antibiotic therapies achieve more effective activity. In this case, bacteriophages were deliberately designed to be non-lethal so as not to elicit resistance mechanisms; instead, non-lytic M13 phage was used to suppress the bacterial SOS DNA damage response by overexpression of its repressor, lexA3. The engineered bacteriophage significantly enhanced killing by three major classes of antibiotics in traditional cell culture and in E. coli-infected mice, potentiated killing of antibiotic-resistant bacteria, and importantly reduced the incidence of antibiotic-induced resistant cells.Synthetically engineered viruses and organisms that are able to sense and link their therapeutic activity to pathological cues may be useful in the treatment of cancer, where current therapies often indiscriminately attack tumors and normal tissues. Adenoviruses, for instance, were programmed to couple their replication to the state of the p53 pathway in human cells93. Normal p53 production would result in inhibition of a critical viral replication component, whereas a defunct p53 pathway, which is characteristic of tumor cells, would allow viral replication and cell killing. In another demonstration of translational synthetic biology applied to cancer therapy, Voigt and colleagues94 developed cancer-targeting bacteria and linked their ability to invade the cancer cells to specific environmental signals. Constitutive expression of the heterologous inv gene (from Yersinia pseudotuberculosis) can induce E. coli cells to invade both normal and cancer human cell lines. So, to preferentially invade cancer cells, the researchers placed invunder the control of transcriptional operons that are activated by environmental signals specific to the tumor microenvironment. These engineered bacteria could be made to carry or synthesize cancer therapies for the treatment of tumors.
In addition to engineered therapeutic organisms, synthetic circuits and pathways can be used for the controlled delivery of drugs as well as for gene and metabolic therapy. In some cases, sophisticated, kinetic control over drug release in the body may yield therapeutic advantages and reduce undesired side effects. Most hormones in the body are released in time-dependent pulses. Glucocorticoid secretion, for instance, has a circadian and ultradian pattern of release, with important transcriptional consequences for glucocorticoid-responsive cells95. Faithfully mimicking these patterns in the administration of synthetic hormones to patients with glucocorticoid-responsive diseases, such as rheumatoid arthritis, may decrease known side effects and improve therapeutic response95. Periodic synthesis and release of biologic drugs can be autonomously achieved with synthetic oscillator circuits9, 10, 20–22 or programmed time-delay circuits96. In other cases, one may wish to place a limit on the amount of drug released by programming the synthetic system to self-destruct after a defined number of cell cycles or drug release pulses. Our group has recently developed two variants of a synthetic gene counter14that could be adapted for such an application.Gene therapy is beginning to make some promising advances in clinical areas where traditional drug therapy is ineffective, such as in the treatment of many hereditary and metabolic diseases. Synthetic circuits offer a more controlled approach to gene therapy, such as the ability to dynamically silence, activate, and tune the expression of desired genes. In one such example12, a genetic switch was developed in mammalian cells that couples transcriptional repressor proteins and an RNA interference (RNAi) module for tight, tunable, and reversible control over the expression of desired genes (Box 3b). This system would be particularly useful in gene silencing applications, as it was shown to yield > 99% repression of a target gene.Additionally, the construction of non-native pathways offers a unique and versatile approach to gene therapy, such as for the treatment of metabolic disorders. Operating at the interface of synthetic biology and metabolic engineering, for instance, Liao and colleagues97recently introduced the glyoxylate shunt pathway into mammalian liver cells and mice to explore its effects on fatty acid metabolism and, more broadly, whole-body metabolism. Remarkably, the researchers found that when transplanted into mammals the shunt actually increased fatty acid oxidation, evidently by creating an alternative cycle. Furthermore, mice expressing the shunt showed resistance to diet-induced obesity when placed on a high-fat diet, with corresponding decreases in total fat mass, plasma triglycerides, and cholesterol levels. This work offers a new synthetic biology model for studying metabolic networks and disorders, and for developing treatments for the increasing problem of obesity.The discovery of drugs and effective treatments may not quickly or ever translate to the people who need them the most, because drug production processes can be difficult and costly. As reviewed below, here synthetic biology is bringing more cost-effective manufacturing processes to the production of such rare and costly drugs (Box 3c).
BIOFUELS, PHARMACEUTICALS AND BIOMATERIALS
Recent excitement surrounding the production of biofuels, pharmaceuticals and biomaterials from engineered microorganisms is matched by the challenges that loom in bringing these technologies to production scale and quality. The most widely used biofuel is ethanol produced from corn or sugar cane98; however, the heavy agricultural burden combined with the suboptimal fuel properties of ethanol make this approach to biofuels problematic and limited.Microorganisms engineered with optimized biosynthetic pathways to efficiently convert biomass into biofuels are an alternative and promising source of renewable energy. These strategies will succeed only if their production costs can be made to compete with, or even out-compete, current fuel production costs. Similarly, there are many drugs whose production processes preclude their capacity for a wider and more cost-effective therapeutic reach. New synthetic biology tools would also greatly advance the microbial production of biomaterials and the development of altogether novel materials.
Constructing biosynthetic pathways
One of the first design decisions when engineering for biofuels, drugs, or biomaterials is which biosynthetic pathway(s) to construct around and, further to that, which host organism to use. Typically, this decision originates with searching for organisms innately capable of achieving some desired biosynthetic activity or phenotype99. For biofuel production, for instance, microorganisms have evolved to be proficient in converting lignocellulosic material to ethanol, biobutanol, and other biofuels. These native isolates possess unique catabolic activity, heightened tolerances for toxic materials, and a host of enzymes designed to break down the lignocellulosic components. Unfortunately, these highly desired properties exist in pathways that are tightly regulated according to the host’s evolved needs and therefore may not be suitable in their native state for production scale. A longstanding challenge in metabolic and genetic engineering is determining whether to improve the isolate host’s production capacity or whether to transplant the desired genes/pathways into an industrial model host, such as E. coli or S. cerevisiae; these important considerations and tradeoffs are reviewed elsewhere99.The example of the microbial production of biobutanol, a higher energy density alternative to ethanol, provides a useful glimpse into these design tradeoffs. Butanol is converted naturally from acetyl-coenzyme A (acetyl-coA) by Clostridium acetobutylicum100. However, it is produced in low yields and as a mixture with acetone and ethanol, thus requiring significant cellular engineering of a strain for which most standard molecular biology techniques do not apply101, 102. On the other hand, importing the biosynthetic genes into an industrial microbial host can lead to metabolic imbalances103. In an altogether different approach, Liao and colleagues104 bypassed standard fermentation pathways and recognized that a broad set of the 2-keto acid intermediates of E. coliamino acid biosynthesis could be synthetically shunted to achieve high-yield production of butanol and other higher alcohols in two enzymatic steps.Complementary to efforts in traditional metabolic and genetic engineering is the use of engineering principles for constructing functional, predictable, and non-native biological pathways de novo to control and improve microbial production. In an exemplary illustration of this, Keasling and colleagues engineered the microbial production of precursors to the antimalarial drug artemisinin to industrial levels105, 106 (Box 3c). There are now many such examples of the successful application of synthetic approaches to biosynthetic pathway construction, for instance in the microbial production of fatty-acid-derived fuels and chemicals (e.g., fatty esters, fatty alcohols, and waxes)107, methyl halide-derived fuels and chemicals 108, polyketide synthases that make cholesterol-lowering drugs109, and polyketides made from megaenzymes that are encoded by very large synthetic gene clusters110.
Optimizing pathway flux
Once biosynthetic pathways are constructed, the expression levels of all the components need to be orchestrated to optimize metabolic flux and achieve high product titers. A standard approach is to drive the expression of pathway components with strong and exogenously tunable promoters, such as the PLtet, PLlac, and PBAD promoters from the tet, lac, and ara operons of E. coli, respectively. To this end, there are ongoing synthetic biology efforts to create and characterize more reusable, biological control elements based on promoters for predictably tuning expression levels111, 112. Further to this, synthetic biologists have devised a number of alternative methods for biological pathway balance, ranging from reconfiguring network connectivity to fine-tuning individual components. A richer discussion of these topics, including the fine-tuning of parts, model-guided approaches, and the development of next-generation interoperable parts, is presented elsewhere113. In Box 4, we detail a few such synthetic biology strategies that specifically pertain to the optimization of metabolic pathway flux. These strategies span a spectrum from those driven by evolutionary techniques to those driven by rational design and in silico models, to those that combine both approaches.
Programming novel functionality and materials
Beyond facilitating metabolic tasks, synthetic systems can infuse novel functionality into engineered organisms for production purposes or for building new materials. Early work in the field laid the groundwork for constructing basic circuits that could sense and process signals, perform logic operations, and actuate biological responses114. Wiring these modules together to bring about reliable, higher-order functionality is one of synthetic biology’s next major goals113, and an important application of this objective is the layering of “smart” control mechanisms over metabolic engineering. For instance, circuits designed to sense the bioreactor environment and shift metabolic phases accordingly would further improve biofuel production. Alternatively, autonomous timing circuits could be used to shut down metabolic processes after a prescribed duration of time. Biological timers of this sort have been developed using genetic toggle switches that had been deliberately rendered imbalanced through model-guided promoter engineering112. These genetic timers were used to program the time-dependent flocculation of yeast cells to facilitate the separation of cells from, for instance, the alcohol produced in industrial fermentation processes.Synthetic control systems can also be employed to extract and purify the synthesized product. This is particularly important in the production of recombinant proteins, bioplastics, and other large biomaterials, whose high titer can lead to intracellular accumulation, the formation of inclusion bodies, and cell toxicity. For instance, to export recombinant spider silk monomers, Widmaier et al.115 searched for a secretion system that would enable efficient and indiscriminate secretion of proteins through both bacterial membranes. The Salmonellatype III secretion system (T3SS) not only fulfills these criteria but also possesses a natural regulatory scheme that ties expression of the protein to be secreted to the secretion capacity of the cell; as a result, the desired protein is only expressed when sufficient secretion complexes have been built. The researchers needed only to engineer a control circuit that hitches their heterologous genes to the innate genetic machinery for environmental sensing and secretion commitment to obtain superior secretion rates of recombinant silk protein.Finally, there is an emerging branch of synthetic biology that seeks to program coordinated behaviour in populations of cells, which could lead to the fabrication of novel biomaterials for a variety of applications. The engineering of synthetic multicellular systems is typically achieved with cell-cell communication and associated intracellular signal processing modules, as was elegantly employed by Hasty and colleagues to bring about synchronized oscillations in a population of bacterial cells23. Weiss and colleagues have similarly done pioneering work in building biomolecular signal processing architectures that are able to filter communication signals originating from ‘sender’ cells24, 31. These systems, which can be programmed to form intricate multicellular patterns from a solid-phase cellular lawn, would aid the development of fabrication-free scaffolds for tissue engineering.
FUTURE CHALLENGES AND CONCLUSIONS
The future of translational synthetic biology is dependent on and limited by the development of reliable means for connecting smaller functional circuits to realize higher-order networks with predictable behaviours. In a previous perspective113, we outlined four research efforts aimed at improving and accelerating the overall design cycle and allowing more seamless integration of biological circuitry (Box 5).Beyond the challenge of improving the design cycle, applied synthetic biology would benefit from once again summoning the original inspiration of biocomputing. The ability to program higher-level decision-making into synthetic networks would yield more robust and dynamic organisms, including ones that can accomplish many tasks simultaneously. Furthermore, as adaptive and predictive behaviours are naturally present in all organisms (including microbes)116, 117, synthetic learning networks built from genetic and biological parts118, 119would infuse engineered organisms with more sophisticated automation for biosensing and related applications.Finally, the majority of synthetic biology is currently practiced in microbes. Yet, many of the most pressing problems, and in particular those of human health, are inherently problems with mammalian systems. Therefore, a more concerted effort towards advancing mammalian synthetic biology is critical to next-generation therapeutic solutions, including engineering synthetic gene networks for stem cell generation and differentiation.By addressing such challenges, we will be limited, not by the technicalities of construction or the robustness of synthetic gene networks, but only by the imagination of researchers and the number of societal problems and applications for which synthetic biology can resolve.
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