30 research outputs found

    A Procedural Framework for Benchmarking Biofoundry Capabilities

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    Benchmarking compares the performance of a product or service with a competitor. In a biofoundry context, capability benchmarking enables more effective use of development resources and furthering business development efforts. Biofoundries considering benchmarking activities are immediately faced with many implementation questions and decisions. While differing circumstances between biofoundries may lead to different answers to those same questions, a common framework for the benchmarking process is desirable. Perhaps the framework described here, and developed for the United States Department of Energy Agile BioFoundry, will be useful to other biofoundries around the world

    PaR-PaR Laboratory Automation Platform

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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

    Structure of C<sub>20</sub> [5]-ladderane fatty acid, and the proposed major steps of the ladderane biosynthetic pathway.

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    <p>desaturation of acyl-ACPs to form polyunsaturated (all-<i>trans</i>) intermediates and cyclization <i>via</i> a radical cascade mechanism (adapted from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151087#pone.0151087.ref011" target="_blank">11</a>]).</p

    Growth and fatty acid profiles for strain expressing operons 1 and 2 and control strain.

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    <p>(A) Growth curve of ladd-initial and control strains. (B) GC/MS total ion chromatograms (TIC) of fatty acids extracted from ladd-initial and control strains post-cultivation and subjected to methyl ester derivatization. The most prominent fatty acid methyl esters are labeled with numbers: 1, C14:1; 2, C14:0; 3, C16:1; 4, C16:0; 5, C17 cyclopropane fatty acid (CFA); 6, C18:1; 7, C18:0; 8, C19 CFA.</p

    DNA assembly scheme for construction of operons 3–11 (see Table 2 for additional detail).

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    <p>Each operon has a unique P<sub>tet</sub> promoter, bicistronic design (BCD) element, and terminator chosen from the BIOFAB database. Restriction sites in each final operon plasmid allow for efficient, modular assembly of multiple operons in a final vector, such as a bacterial artificial chromosome or fosmid.</p

    <i>In vivo</i> tests of function in putative phytoene desaturases from <i>K</i>. <i>stuttgartiensis</i> (kuste3336 and kuste3607).

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    <p>(Left) Phytoene desaturation to lycopene catalyzed by CrtI and schematic of the pLyc vector. (Right) Lycopene production in <i>E</i>. <i>coli</i> MG1655 strains (from left to right): Lyc (positive control), Lyc36 (<i>crtI</i> in pLyc replaced with kuste3336), Lyc07 (<i>crtI</i> in pLyc replaced with kuste3607), and Lyc-no-CrtI (negative control with <i>crtI</i> gene removed) (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151087#pone.0151087.t001" target="_blank">Table 1</a> for details on strains).</p
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