14 research outputs found

    Methods and results for semi-automated cloning using integrated robotics.

    No full text
    The Joint Center for Structural Genomics (JCSG) has emphasized automation and parallel processing approaches. Here, we describe automated methods used across the cloning process with results from JCSG projects. The protocols for PCR, restriction digests and ligations, as well as for gel electrophoresis and microtiter plate assays have all been automated. The system has the capacity to routinely process 384 clones a week. This throughput can adequately supply our expression and purification pipeline with expression-ready clones, including novel targets and truncations. The utility of our system is demonstrated by our results from three diverse projects. In summary, 94% of the PCR amplicons generated to date have been successfully cloned and verified by sequencing (83% of the total attempted targets). Our results demonstrate the capabilities of this robotic platform to provide an avenue to high-throughput cloning which requires little manpower and is rapid and cost-effective while providing insights for method optimization

    Experimental and Computational Assessment of Conditionally Essential Genes in Escherichia coli

    No full text
    Genome-wide gene essentiality data sets are becoming available for Escherichia coli, but these data sets have yet to be analyzed in the context of a genome scale model. Here, we present an integrative model-driven analysis of the Keio E. coli mutant collection screened in this study on glycerol-supplemented minimal medium. Out of 3,888 single-deletion mutants tested, 119 mutants were unable to grow on glycerol minimal medium. These conditionally essential genes were then evaluated using a genome scale metabolic and transcriptional-regulatory model of E. coli, and it was found that the model made the correct prediction in ∼91% of the cases. The discrepancies between model predictions and experimental results were analyzed in detail to indicate where model improvements could be made or where the current literature lacks an explanation for the observed phenotypes. The identified set of essential genes and their model-based analysis indicates that our current understanding of the roles these essential genes play is relatively clear and complete. Furthermore, by analyzing the data set in terms of metabolic subsystems across multiple genomes, we can project which metabolic pathways are likely to play equally important roles in other organisms. Overall, this work establishes a paradigm that will drive model enhancement while simultaneously generating hypotheses that will ultimately lead to a better understanding of the organism
    corecore