Synthetic biology. Synthetic biology remakes small genomes.
Explore the source record for details and available documents.
Bacteriophage T7↗
SEARCH · PubMed Health
Results for “Synthetic Biology”
Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Synthetic biology--putting engineering into biology.
Synthetic biology is interpreted as the engineering-driven building of increasingly complex biological entities for novel applications. Encouraged by progress in the design of artificial gene networks, de novo DNA synthesis and protein engineering, we review the case for this emerging discipline. Key aspects of an engineering approach are purpose-orientation, deep insight into the underlying scientific principles, a hierarchy of abstraction including suitable interfaces between and within the levels of the hierarchy, standardization and the separation of design and fabrication. Synthetic biology investigates possibilities to implement these requirements into the process of engineering biological systems. This is illustrated on the DNA level by the implementation of engineering-inspired artificial operations such as toggle switching, oscillating or production of spatial patterns. On the protein level, the functionally self-contained domain structure of a number of proteins suggests possibilities for essentially Lego-like recombination which can be exploited for reprogramming DNA binding domain specificities or signaling pathways. Alternatively, computational design emerges to rationally reprogram enzyme function. Finally, the increasing facility of de novo DNA synthesis-synthetic biology's system fabrication process-supplies the possibility to implement novel designs for ever more complex systems. Some of these elements have merged to realize the first tangible synthetic biology applications in the area of manufacturing of pharmaceutical compounds.
Animals↗
Synthetic biology.
Synthetic biologists come in two broad classes. One uses unnatural molecules to reproduce emergent behaviours from natural biology, with the goal of creating artificial life. The other seeks interchangeable parts from natural biology to assemble into systems that function unnaturally. Either way, a synthetic goal forces scientists to cross uncharted ground to encounter and solve problems that are not easily encountered through analysis. This drives the emergence of new paradigms in ways that analysis cannot easily do. Synthetic biology has generated diagnostic tools that improve the care of patients with infectious diseases, as well as devices that oscillate, creep and play tic-tac-toe.
Biology↗
From systems biology to synthetic biology.
Explore the source record for details and available documents.
Biology↗
Synthetic biology. Time for a synthetic biology Asilomar?
Explore the source record for details and available documents.
Bacteria↗
Biological Parts in Yeast Synthetic Biology: From Regulatory Elements to Predictive Design Platforms.
Yeasts, particularly Saccharomyces cerevisiae, are important eukaryotic chassis for synthetic biology because of their tractable genetics, versatile toolkits, and broad utility in metabolic engineering and functional genomics. Progress in this field has been driven by biological parts that enable programmable control of gene expression and cellular behavior. Early efforts focused mainly on promoters, terminators, and other regulatory elements for tuning individual genes. However, as engineering expanded to multigene pathways, genetic circuits, and dynamic regulatory systems, the limits of part-centric design became clear. Part performance is often shaped by genomic context, chromatin state, host physiology, and interactions with other components, which restricts modularity and predictability. In response, yeast synthetic biology is shifting toward integrated design frameworks combining multilayer regulation, standardized assembly, automated experimentation, and computational modeling. This review provides an integrated perspective on the evolution of biological parts across DNA-, RNA-, and protein-level regulation, connecting these advances with assembly frameworks, biofoundries, and machine learning to trace the trajectory from part-centric engineering toward predictive, system-level design in yeast synthetic biology.
Biofoundry↗
Synthetic biology evolves.
Synthetic biology is advancing rapidly as biologists, physicists and engineers are combining their efforts to understand and program cell function. By characterizing isolated genetic components or modules, experimentalists have paved the way for more quantitative analyses of genetic networks. A recent paper presents a method of computational, or in silico, evolution in which a set of components can evolve into networks that display desired behaviors. An integrated approach that includes a strategy of in silico design by evolution, together with efforts exploiting directed evolution in vivo, is likely to be the next step in the evolution of synthetic biology.
Algorithms↗
The use of thymidine analogs to improve the replication of an extra DNA base pair: a synthetic biological system.
Synthetic biology based on a six-letter genetic alphabet that includes the two non-standard nucleobases isoguanine (isoG) and isocytosine (isoC), as well as the standard A, T, G and C, is known to suffer as a consequence of a minor tautomeric form of isoguanine that pairs with thymine, and therefore leads to infidelity during repeated cycles of the PCR. Reported here is a solution to this problem. The solution replaces thymidine triphosphate by 2-thiothymidine triphosphate (2-thioTTP). Because of the bulk and hydrogen bonding properties of the thione unit in 2-thioT, 2-thioT does not mispair effectively with the minor tautomer of isoG. To test whether this might allow PCR amplification of a six-letter artificially expanded genetic information system, we examined the relative rates of misincorporation of 2-thioTTP and TTP opposite isoG using affinity electrophoresis. The concentrations of isoCTP and 2-thioTTP were optimal to best support PCR amplification using thermostable polymerases of a six-letter alphabet that includes the isoC-isoG pair. The fidelity-per-round of amplification was found to be approximately 98% in trial PCRs with this six-letter DNA alphabet. The analogous PCR employing TTP had a fidelity-per-round of only approximately 93%. Thus, the A, 2-thioT, G, C, isoC, isoG alphabet is an artificial genetic system capable of Darwinian evolution.
Base Pairing↗
From biological analysis to synthetic biology.
Explore the source record for details and available documents.
Biological Evolution↗
Systems biology as a foundation for genome-scale synthetic biology.
As the ambitions of synthetic biology approach genome-scale engineering, comprehensive characterization of cellular systems is required, as well as a means to accurately model cell-scale molecular interactions. These requirements are coincident with the goals of systems biology and, thus, systems biology will become the foundation for genome-scale synthetic biology. Systems biology will form this foundation through its efforts to reconstruct and integrate cellular systems, develop the mathematics, theory and software tools for the accurate modeling of these integrated systems, and through evolutionary mechanisms. As genome-scale synthetic biology is so enabled, it will prove to be a positive feedback driver of systems biology by exposing and forcing researchers to confront those aspects of systems biology which are inadequately understood.
Biology↗
A perspective of synthetic biology: assembling building blocks for novel functions.
Synthetic biology is a recently emerging field that applies engineering formalisms to design and construct new biological parts, devices, and systems for novel functions or life forms that do not exist in nature. Synthetic biology relies on and shares tools from genetic engineering, bioengineering, systems biology and many other engineering disciplines. It is also different from these subjects, in both insights and approach. Applications of synthetic biology have great potential for novel contributions to established fields and for offering opportunities to answer fundamentally new biological questions. This article does not aim at a thorough survey of the literature and detailing progress in all different directions. Instead, it is intended to communicate a way of thinking for synthetic biology in which basic functional elements are defined and assembled into living systems or biomaterials with new properties and behaviors. Four major application areas with a common theme are discussed and a procedure (or "protocol") for a standard synthetic biology work is suggested.
Biomimetics↗
Synthetic biology: navigating the challenges ahead.
The emerging field of synthetic biology is broadly defined as the area of intersection of biology and engineering that focuses on the modification or creation of novel biological systems that do not have a counterpart in nature. Potential applications of this technology range from creating systems for environmental cleanup tasks, for medical diagnosis and treatment, to economical generation of hydrogen fuel. This technology is in tis nascent state and there are a number of concerns surrounding its potential applications and the nature of research being performed. With the potential to create hitherto unknown "living organisms", it raises a number of challenges along different dimensions. This article reviews the current state of the technology and analyzes synthetic biology using different lenses: patentability, ethics, and regulation. It proposes a classification system for the products of synthetic biology and provides recommendations in each of the above areas (patentability, ethics, and regulation) in the context of this classification system. These recommendations include an improved framework for patentability testing, ethical principles to guide work in this area, a controlled approval process, and reference frameworks for regulation.
Bacteria↗
Advances in synthetic biology: on the path from prototypes to applications.
Synthetic biology combines knowledge from various disciplines including molecular biology, engineering, mathematics and physics to design and build novel proteins, genetic circuits and metabolic networks. Early efforts aimed at altering the behavior of individual elements have now evolved to focus on the construction of complex networks in single-cell and multicellular systems. Recent achievements include the development of sophisticated non-native behaviors such as bi-stability, oscillations, proteins customized for biosensing, optimized drug synthesis and programmed spatial pattern formation. The de novo construction of such systems offers valuable quantitative insight into naturally occurring information processing activities. Furthermore, as the techniques for system design, synthesis and optimization mature, we will witness a rapid growth in the capabilities of synthetic systems with a wide-range of applications.
Gene Expression Regulation↗
RNA synthetic biology.
RNA molecules play important and diverse regulatory roles in the cell by virtue of their interaction with other nucleic acids, proteins and small molecules. Inspired by this natural versatility, researchers have engineered RNA molecules with new biological functions. In the last two years efforts in synthetic biology have produced novel, synthetic RNA components capable of regulating gene expression in vivo largely in bacteria and yeast, setting the stage for scalable and programmable cellular behavior. Immediate challenges for this emerging field include determining how computational and directed-evolution techniques can be implemented to increase the complexity of engineered RNA systems, as well as determining how such systems can be broadly extended to mammalian systems. Further challenges include designing RNA molecules to be sensors of intracellular and environmental stimuli, probes to explore the behavior of biological networks and components of engineered cellular control systems.
Computational Biology↗
Another side of genomics: synthetic biology as a means for the exploitation of whole-genome sequence information.
The successful completion of the Human Genome Project and other sequencing projects opened the door for another quantum jump in science advancement. The most important public sequence databases are doubling in size every 18 months. By revealing the genetic program of many organisms, these efforts endow biologists with the ability to study the basic information of life in toto as an initial step toward a comprehensive understanding of the complexity of entire organisms. We review the area of synthetic biology, defined as the making and use of biosystems founded on the chemical synthesis of the coding DNA (and potentially RNA). The recent developments discussed here introduce a rich source of oligonucleotides to the field: in situ synthesised microarrays, which in fact represent nothing else but matrix nucleic acid synthesisers. With this new way of producing the oligonucleotides used in the making of synthetic genes in a very cost-effective manner, the field of synthetic biology can be expected to change dramatically in the next decade. Synthetic genes will then be the tools of choice to obtain any sequence at any time in any laboratory.
Base Sequence↗
A new class of synthetic biological response modifiers: the methylfurylbutyrolactones (Nafocare B).
A new class of synthetic biological response modifiers (BRMs) has been produced by combining a highly electrophilic reactant, 2-methyl-2, 5-dihydrofuran (a cyclic acetal of cis-3-acetyl acrolein), with L-ascorbic acid. The parent class of compounds can be referred to as methylfurylbutyrolactones (MFBL), previously termed Nafocare B. This parent molecule is amorphous, has a molecular weight of 252.7, and the chemical name [3,6] cyclohemiketal of 2-(5-methyl-2-furyl)-3-keto-L-butyrolactone. Two crystalline forms were produced by a reaction of the MFBL parent molecule with either succinic anhydride or succinimide, to create MFBL-SA (Nafocare B2) and MFBL-S (Nafocare B3) dimers, respectively. The structure of these compounds has been confirmed by modern methods of analytical chemistry, including x-ray crystallography. All three forms of the MFBLs showed negligible toxicity in single-dose acute LD-50s in mice. Also, the MFBLs did not demonstrate genotoxic activity at 800 mg/kg in the mouse micronucleus assay. The MFBLs are immunostimulatory in assays involving T- and B-lymphocytes, but not in immunoassays on macrophages derived from resident- or thioglycollate-elicited peritoneal exudate cells (PEC). Spleen cells from mice treated 4 days via the intraperitoneal, intravenous, or the oral routes responded significantly over controls to suboptimal stimulatory concentrations of polyclonal mitogens in the lymphocyte stimulation assay. The MFBLs were not mitogenic, since they did not increase DNA synthesis in resting spleen cells from MFBL-treated mice. Antibody production is also amplified by the MFBLs. Mice immunized with sheep erythrocytes, a T-cell-dependent antigen, and treated with MFBLs had a 200-800% increase in the numbers of antibody-producing splenic lymphocytes detected by the Jerne hemolytic plaque assay. Also, mice immunized with soluble bovine serum albumin (BSA), and treated with a MFBL, demonstrated at least a fourfold increase in IgG-specific antibodies to BSA, when compared with controls. To demonstrate effects of MFBLs on macrophages, we used the Fc receptor (FcR) surface marker and superoxide anion assays. Only at the highest in vitro dose of MFBL (16 micrograms/ml) was a significant increase in erythrocyte antibody rosette formation detected, using resident macrophages isolated from PEC. In the superoxide anion release assay neither resident- nor thioglycollate-elicited PECs, obtained from in vivo-treated mice or macrophages treated in vitro, showed increased production of superoxide anion.(ABSTRACT TRUNCATED AT 400 WORDS)
Aldehydes↗
Synthetic biology.
Chemistry is a broadly powerful discipline in contemporary science because it has the ability to create new forms of the matter that it studies. By doing so, chemistry can test models that connect molecular structure to behaviour without having to rely on what nature has provided. This creation, known as 'synthesis', began to be applied to living systems in the 1980s as recombinant DNA technologies allowed biologists to deliberately change the molecular structure of the microbes that they studied, and automated chemical synthesis of DNA became widely available to support these activities. The impact of the information that has emerged has made biologists aware of a truism that has long been known in chemistry: synthesis drives discovery and understanding in ways that analysis cannot. Synthetic biology is now setting an ambitious goal: to recreate in artificial systems the emergent properties found in natural biology. By doing so, it is advancing our understanding of the molecular basis of genetics in ways that analysis alone cannot. More practically, it has yielded artificial genetic systems that improve the healthcare of some 400,000 Americans annually. Synthetic biology is now set to take the next step, to create artificial Darwinian systems by direct construction. Supported by the National Science Foundation as part of its Chemical Bonding program, this work cannot help but generate clarity in our understanding of how biological systems work.
Animals↗
Synthetic biology: new engineering rules for an emerging discipline.
Synthetic biologists engineer complex artificial biological systems to investigate natural biological phenomena and for a variety of applications. We outline the basic features of synthetic biology as a new engineering discipline, covering examples from the latest literature and reflecting on the features that make it unique among all other existing engineering fields. We discuss methods for designing and constructing engineered cells with novel functions in a framework of an abstract hierarchy of biological devices, modules, cells, and multicellular systems. The classical engineering strategies of standardization, decoupling, and abstraction will have to be extended to take into account the inherent characteristics of biological devices and modules. To achieve predictability and reliability, strategies for engineering biology must include the notion of cellular context in the functional definition of devices and modules, use rational redesign and directed evolution for system optimization, and focus on accomplishing tasks using cell populations rather than individual cells. The discussion brings to light issues at the heart of designing complex living systems and provides a trajectory for future development.
Cells↗