13 research outputs found

    MOESM1 of Combinatory optimization of chromosomal integrated mevalonate pathway for β-carotene production in Escherichia coli

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    Additional file 1: Table S1. Primers used in this work. Table S2. Modulating genes of mvaS-mvaA-mavD1 operon for improving β-carotene production. Table S3. Modulating genes of Hmg1-erg12 operon for improving β-carotene production. Table S4. Sequences of representative artificial regulatory parts. Table S5. Plasmids used in this work. Table S6. Escherichia coli strains used in this work. Table S7. Calculated strength of mvaS and Hmg1 RBS, RBS sequence and relative β-carotene yield of strains from Re-modulation libraries. Figure S1. Two-step recombination method for inserting Hmg1-erg12 operon in E. coli chromosome. Figure S2. Two-step recombination method for modulating gene expression in E. coli chromosome by different artificial regulatory parts

    MOESM1 of Engineering Saccharomyces cerevisiae for the production of the valuable monoterpene ester geranyl acetate

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    Additional file 1: Table S1. Primers used in this study. Table S2. Introduction of alcohol acyltransferases from plants and the titer of geranyl acetate. Fig. S1. Plasmid maps and DNA sequences

    MOESM2 of Type IIs restriction based combinatory modulation technique for metabolic pathway optimization

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    Additional file 2: Figure S1. The sequence logo diagrams of the degenerate nucleotides in RBSs. Plasmid maps and DNA sequences

    MOESM1 of Development of a modularized two-step (M2S) chromosome integration technique for integration of multiple transcription units in Saccharomyces cerevisiae

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    Additional file 1: Table S1. The sequence of various promoter. Table S2. The sequence of various terminators. Table S3. L sequence. Table S4. The integration locus of chromosome. Table S5. PCR primers used in this work. Table S6. The sequence of integration locus (site2). Figure S1. The diagrams of promoter plasmids (Circular Display). Figure S2. The diagrams of terminator plasmids (linear display). Figure S3. The diagrams of integration locus (site1) plasmids. Figure S4. The transformants of β-carotene on SC-Ura solid medium

    MOESM1 of Engineering Corynebacterium glutamicum for violacein hyper production

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    Additional file 1: Table S1. Strains, plasmids and oligonucleotides used in this study. Figure S1. The linear relationship between Absorbance at 570 nm a nd concentration of crude violacein. Figure S2. Batch cultivations of C. glutamicum in LBHIS broth

    MOESM1 of Genome editing of Ralstonia eutropha using an electroporation-based CRISPR-Cas9 technique

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    Additional file 1: Figure S1. rfp editing identified by agarose gel electrophoresis and sequencing. Figure S2. pBBR1-Cas9-rfpF-rfpR clearance. Figure S3. Four genes edited by CRISPR-Cas9. Table S1. Putative restriction endonuclease genes in R. eutropha H16. Table S2. Genes related to putative NHEJ in R. eutropha. Table S3. List of plasmids used in this study. Table S4. List of main primers used in this study

    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
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