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Microfluidic applications have expanded greatly over the past decade. For the most part, however, each microfluidics platform is developed with a specific task in mind, rather than as a general-purpose device with a wide-range of functionality. Here, we show how a microfluidic system, originally developed to investigate protein phase behavior, can be modified and repurposed for another application, namely DNA construction. We added new programable controllers to direct the flow of reagents across the chip. We designed the assembly of a combinatorial Golden Gate DNA library using TeselaGen DESIGN software and used the repurposed microfluidics platform to assemble the designed library from off-chip prepared DNA assembly pieces. Further experiments verified the sequences and function of the on-chip assembled DNA constructs.

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BACKGROUND: Synthetic biology aims to engineer biological systems for desired behaviors. The construction of these systems can be complex, often requiring genetic reprogramming, extensive de novo DNA synthesis, and functional screening. RESULTS: Herein, we present a programmable, multipurpose microfluidic platform and associated software and apply the platform to major steps of the synthetic biology research cycle: design, construction, testing, and analysis. We show the platform's capabilities for multiple automated DNA assembly methods, including a new method for Isothermal Hierarchical DNA Construction, and for Escherichia coli and Saccharomyces cerevisiae transformation. The platform enables the automated control of cellular growth, gene expression induction, and proteogenic and metabolic output analysis. CONCLUSIONS: Taken together, we demonstrate the microfluidic platform's potential to provide end-to-end solutions for synthetic biology research, from design to functional analysis.

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To enable protocol standardization, sharing, and efficient implementation across laboratory automation platforms, we have further developed the PR-PR open-source high-level biology-friendly robot programming language as a cross-platform laboratory automation system. Beyond liquid-handling robotics, PR-PR now supports microfluidic and microscopy platforms, as well as protocol translation into human languages, such as English. While the same set of basic PR-PR commands and features are available for each supported platform, the underlying optimization and translation modules vary from platform to platform. Here, we describe these further developments to PR-PR, and demonstrate the experimental implementation and validation of PR-PR protocols for combinatorial modified Golden Gate DNA assembly across liquid-handling robotic, microfluidic, and manual platforms. To further test PR-PR cross-platform performance, we then implement and assess PR-PR protocols for Kunkel DNA mutagenesis and hierarchical Gibson DNA assembly for microfluidic and manual platforms.

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We report an all-in-one platform - ScanDrop - for the rapid and specific capture, detection, and identification of bacteria in drinking water. The ScanDrop platform integrates droplet microfluidics, a portable imaging system, and cloud-based control software and data storage. The cloud-based control software and data storage enables robotic image acquisition, remote image processing, and rapid data sharing. These features form a "cloud" network for water quality monitoring. We have demonstrated the capability of ScanDrop to perform water quality monitoring via the detection of an indicator coliform bacterium, Escherichia coli, in drinking water contaminated with feces. Magnetic beads conjugated with antibodies to E. coli antigen were used to selectively capture and isolate specific bacteria from water samples. The bead-captured bacteria were co-encapsulated in pico-liter droplets with fluorescently-labeled anti-E. coli antibodies, and imaged with an automated custom designed fluorescence microscope. The entire water quality diagnostic process required 8 hours from sample collection to online-accessible results compared with 2-4 days for other currently available standard detection methods.

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Labor-intensive multistep biological tasks, such as the construction and cloning of DNA molecules, are prime candidates for laboratory automation. Flexible and biology-friendly operation of robotic equipment is key to its successful integration in biological laboratories, and the efforts required to operate a robot must be much smaller than the alternative manual lab work. To achieve these goals, a simple high-level biology-friendly robot programming language is needed. We have developed and experimentally validated such a language: Programming a Robot (PaR-PaR). The syntax and compiler for the language are based on computer science principles and a deep understanding of biological workflows. PaR-PaR allows researchers to use liquid-handling robots effectively, enabling experiments that would not have been considered previously. After minimal training, a biologist can independently write complicated protocols for a robot within an hour. Adoption of PaR-PaR as a standard cross-platform language would enable hand-written or software-generated robotic protocols to be shared across laboratories.

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The extraordinary fidelity, sensory and regulatory capacity of natural intracellular machinery is generally confined to their endogenous environment. Nevertheless, synthetic bio-molecular components have been engineered to interface with the cellular transcription, splicing and translation machinery in vivo by embedding functional features such as promoters, introns and ribosome binding sites, respectively, into their design. Tapping and directing the power of intracellular molecular processing towards synthetic bio-molecular inputs is potentially a powerful approach, albeit limited by our ability to streamline the interface of synthetic components with the intracellular machinery in vivo. Here we show how a library of synthetic DNA devices, each bearing an input DNA sequence and a logical selection module, can be designed to direct its own probing and processing by interfacing with the bacterial DNA mismatch repair (MMR) system in vivo and selecting for the most abundant variant, regardless of its function. The device provides proof of concept for programmable, function-independent DNA selection in vivo and provides a unique example of a logical-functional interface of an engineered synthetic component with a complex endogenous cellular system. Further research into the design, construction and operation of synthetic devices in vivo may lead to other functional devices that interface with other complex cellular processes for both research and applied purposes.

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The throughput of DNA reading (i.e., sequencing) has dramatically increased recently owing to the incorporation of in vitro clonal amplification. The throughput of DNA writing (i.e., synthesis) is trailing behind, with cloning and sequencing constituting the main bottleneck. To overcome this bottleneck, an in vitro alternative for in vivo DNA cloning needs to be integrated into DNA synthesis methods. Here, we show how a new single-molecule PCR (smPCR)-based procedure can be employed as a general substitute for in vivo cloning, thereby allowing for the first time in vitro DNA synthesis. We integrated this rapid and high fidelity in vitro procedure into our previously described recursive DNA synthesis and error correction procedure and used it to efficiently construct and error-correct a 1.8-kb DNA molecule from synthetic unpurified oligonucleotides, entirely in vitro. Although we demonstrate incorporating smPCR in a particular method, the approach is general and can be used, in principle, in conjunction with other DNA synthesis methods as well.

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Making faultless complex objects from potentially faulty building blocks is a fundamental challenge in computer engineering, nanotechnology, and synthetic biology. We developed an error-correcting recursive construction procedure that attempts to address this challenge. Making DNA molecules from synthetic oligonucleotides using the procedure described here surpasses existing methods for de novo DNA synthesis in speed, precision, and amenability to automation. It provides for the first time a unified DNA construction platform for combining synthetic and natural DNA fragments, for constructing designer DNA libraries, and for making the faultless long synthetic DNA building blocks needed for de novo genome construction.

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Synthetic biology is a nascent field that emerged in earnest only around the turn of the millennium. It aims to engineer new biological systems and impart new biological functionality, often through genetic modifications. The design and construction of new biological systems is a complex, multistep process, requiring multidisciplinary collaborative efforts from "fusion" scientists who have formal training in computer science or engineering, as well as hands-on biological expertise. The public has high expectations for synthetic biology and eagerly anticipates the development of solutions to the major challenges facing humanity. This article discusses laboratory practices and the conduct of research in synthetic biology. It argues that the fusion science approach, which integrates biology with computer science and engineering best practices, including standardization, process optimization, computer-aided design and laboratory automation, miniaturization, and systematic management, will increase the predictability and reproducibility of experiments and lead to breakthroughs in the construction of new biological systems. The article also discusses several successful fusion projects, including the development of software tools for DNA construction design automation, recursive DNA construction, and the development of integrated microfluidics systems.

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Making error-free, custom DNA assemblies from potentially faulty building blocks is a fundamental challenge in synthetic biology. Here, we show how recursion can be used to address this challenge using a recursive procedure that constructs error-free DNA molecules and their libraries from error-prone synthetic oligonucleotides and naturally existing DNA. Specifically, we describe how divide and conquer (D&C), the quintessential recursive problem-solving technique, is applied in silico to divide target DNA sequences into overlapping, albeit error prone, oligonucleotides, and how recursive construction is applied in vitro to combine them to form error-prone DNA molecules. To correct DNA sequence errors, error-free fragments of these molecules are then identified, extracted, and used as new, typically longer and more accurate, inputs to another iteration of the recursive construction procedure; the entire process repeats until an error-free target molecule is formed. The method allows combining synthetic and natural DNA fragments into error-free designer DNA libraries, thus providing a foundation for the design and construction of complex synthetic DNA assemblies.

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Bacterial cloning was first introduced over a century ago and has since become one of the most useful procedures in biological research, perhaps paralleled in its ubiquity only by PCR and DNA sequencing. However, unlike PCR and sequencing, cloning has generally remained a manual, labor-intensive, low-throughput procedure. Here we address this issue by developing an automated, computer-aided bacterial cloning method using liquid medium that is based on the principles of (i) limiting dilution of bacteria, (ii) inference of colony forming units (CFUs) based on optical density (OD) readings, and (iii) verification of monoclonality using a mixture of differently colored fluorescently labeled bacteria for transformation. We demonstrate the high-throughput utility of this method by employing it as a cloning platform for a DNA synthesis process.

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UNLABELLED: Polymerase Chain Reaction (PCR) is the DNA-equivalent of Gutenberg's movable type printing, both allowing large-scale replication of a piece of text. De novo DNA synthesis is the DNA-equivalent of mechanical typesetting, both ease the setting of text for replication. What is the DNA-equivalent of the word processor? Biology labs engage daily in DNA processing-the creation of variations and combinations of existing DNA-using a plethora of manual labor-intensive methods such as site-directed mutagenesis, error-prone PCR, assembly PCR, overlap extension PCR, cleavage and ligation, homologous recombination, and others. So far no universal method for DNA processing has been proposed and, consequently, no engineering discipline that could eliminate this manual labor has emerged. Here we present a novel operation on DNA molecules, called Y, which joins two DNA fragments into one, and show that it provides a foundation for DNA processing as it can implement all basic text processing operations on DNA molecules including insert, delete, replace, cut and paste and copy and paste. In addition, complicated DNA processing tasks such as the creation of libraries of DNA variants, chimeras and extensions can be accomplished with DNA processing plans consisting of multiple Y operations, which can be executed automatically under computer control. The resulting DNA processing system, which incorporates our earlier work on recursive DNA composition and error correction, is the first demonstration of a unified approach to DNA synthesis, editing, and library construction. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11693-010-9059-y) contains supplementary material, which is available to authorized users.

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The throughput of DNA reading (sequencing) has dramatically increased recently due to the incorporation of in vitro clonal amplification. The throughput of DNA writing (synthesis) is trailing behind, with cloning and sequencing constituting the main bottleneck. To overcome this bottleneck, an in vitro alternative for in vivo DNA cloning must be integrated into DNA synthesis methods. Here we show how a new single molecule PCR (smPCR)-based procedure can be employed as a general substitute to in vivo cloning thereby allowing for the first time in vitro DNA synthesis. We integrated this rapid and high fidelity in vitro procedure into our earlier recursive DNA synthesis and error correction procedure and used it to efficiently construct and error-correct a 1.8-kb DNA molecule from synthetic unpurified oligos completely in vitro. Although we demonstrate incorporating smPCR in a particular method, the approach is general and can be used in principle in conjunction with other DNA synthesis methods as well.

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Making faultless complex objects from potentially faulty building blocks is a fundamental challenge in computer engineering, nanotechnology and synthetic biology. Here, we show for the first time how recursion can be used to address this challenge and demonstrate a recursive procedure that constructs error-free DNA molecules and their libraries from error-prone oligonucleotides. Divide and Conquer (D&C), the quintessential recursive problem-solving technique, is applied in silico to divide the target DNA sequence into overlapping oligonucleotides short enough to be synthesized directly, albeit with errors; error-prone oligonucleotides are recursively combined in vitro, forming error-prone DNA molecules; error-free fragments of these molecules are then identified, extracted and used as new, typically longer and more accurate, inputs to another iteration of the recursive construction procedure; the entire process repeats until an error-free target molecule is formed. Our recursive construction procedure surpasses existing methods for de novo DNA synthesis in speed, precision, amenability to automation, ease of combining synthetic and natural DNA fragments, and ability to construct designer DNA libraries. It thus provides a novel and robust foundation for the design and construction of synthetic biological molecules and organisms.

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Stochastic computing has a broad range of applications, yet electronic computers realize its basic step, stochastic choice between alternative computation paths, in a cumbersome way. Biomolecular computers use a different computational paradigm and hence afford novel designs. We constructed a stochastic molecular automaton in which stochastic choice is realized by means of competition between alternative biochemical pathways, and choice probabilities are programmed by the relative molar concentrations of the software molecules coding for the alternatives. Programmable and autonomous stochastic molecular automata have been shown to perform direct analysis of disease-related molecular indicators in vitro and may have the potential to provide in situ medical diagnosis and cure.

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Human phenylalanyl-tRNA synthetase (PheRS) was cloned and expressed in Escherichia coli. The cDNAs of the alpha and beta subunits were cloned into pET-21b(+) and pET-28b(+) vectors. The 6x histidine-tagged (HT) plasmids pET-21_HTbeta, pET-28_HTalpha, and pET-28_HTbeta were constructed. Three different types of (alphabeta)(2) heterodimers of human PheRS carrying HT at the N-terminus of either of two alpha or beta subunits or simultaneously on both of them were overproduced and purified. The heterodimeric protein with HT appended to the N-terminus of the beta subunit revealed no activity in the aminoacylation reaction as opposed to those with HT on the alpha subunit. It is known from the structure of the Thermus thermophilus Phe system that the N-terminal coiled-coil domain of the alpha subunit is involved in the binding of cognate tRNA(Phe). Our data demonstrate that a histidine-tagged N-terminal extension appended to the alpha subunit does not affect the kinetic parameters of tRNA(Phe) aminoacylation. Elimination of the HT from the alpha subunit by thrombin cleavage leads to nonspecific splitting of the enzyme that occurs in parallel to the main reaction. In addition to the tagged proteins the properly assembled heterodimer containing intact alpha and beta subunits free of HT was overproduced and purified. Aminoacylation activity of the overproduced human PheRS in the crude bacterial extract is two orders of magnitude higher than the corresponding activity in human placenta and the yield of the recombinant enzyme overproduced in E. coli is five times higher.

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