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https://doi.org/10.1038/srep04515
Title: | Predictive combinatorial design of mRNA translation initiation regions for systematic optimization of gene expression levels | Authors: | Seo, S.W Yang, J.-S Cho, H.-S Yang, J Kim, S.C Park, J.M Kim, S Jung, G.Y |
Keywords: | messenger RNA algorithm Escherichia coli gene expression gene library genetics metabolic engineering procedures RNA translation Algorithms Escherichia coli Gene Expression Gene Library Metabolic Engineering Peptide Chain Initiation, Translational RNA, Messenger |
Issue Date: | 2014 | Publisher: | Nature Publishing Groups | Citation: | Seo, S.W, Yang, J.-S, Cho, H.-S, Yang, J, Kim, S.C, Park, J.M, Kim, S, Jung, G.Y (2014). Predictive combinatorial design of mRNA translation initiation regions for systematic optimization of gene expression levels. Scientific Reports 4 : 4515. ScholarBank@NUS Repository. https://doi.org/10.1038/srep04515 | Rights: | Attribution 4.0 International | Abstract: | Balancing the amounts of enzymes is one of the important factors to achieve optimum performance of a designed metabolic pathway. However, the random mutagenesis approach is impractical since it requires searching an unnecessarily large number of variants and often results in searching a narrow range of expression levels which are out of optimal level. Here, we developed a predictive combinatorial design method, called UTR Library Designer, which systematically searches a large combinatorial space of expression levels. It accomplishes this by designing synthetic translation initiation region of mRNAs in a predictive way based on a thermodynamic model and genetic algorithm. Using this approach, we successfully enhanced lysine and hydrogen production in Escherichia coli. Our method significantly reduced the number of variants to be explored for covering large combinatorial space and efficiently enhanced pathway efficiency, thereby facilitating future efforts in metabolic engineering and synthetic biology. | Source Title: | Scientific Reports | URI: | https://scholarbank.nus.edu.sg/handle/10635/177767 | ISSN: | 20452322 | DOI: | 10.1038/srep04515 | Rights: | Attribution 4.0 International |
Appears in Collections: | Staff Publications Elements |
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