DC Field | Value | Language |
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dc.contributor.author | Jang, Sungho | - |
dc.contributor.author | Jung, Gyoo Yeol | - |
dc.date.accessioned | 2018-06-15T05:52:44Z | - |
dc.date.available | 2018-06-15T05:52:44Z | - |
dc.date.created | 2017-12-21 | - |
dc.date.issued | 2018-01 | - |
dc.identifier.issn | 0006-3592 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/50941 | - |
dc.description.abstract | Riboswitches form a class of genetically encoded sensor-regulators and are considered as promising tools for monitoring various metabolites. Functional parameters of a riboswitch, like dynamic or operational range, should be optimized before the riboswitch is implemented in a specific application for monitoring the target molecule efficiently. However, optimization of a riboswitch was not straightforward and required detailed studies owing to its complex sequence-function relationship. Here, we present three approaches for tuning and optimization of functional parameters of a riboswitch using an artificial L-tryptophan riboswitch as an example. First, the constitutive expression level was adjusted to control the dynamic range of an L-tryptophan riboswitch. The dynamic range increased as the constitutive expression level increased. Then, the function of a riboswitch-encoded protein was utilized to connect the regulatory response of the riboswitch to another outcome for amplifying the dynamic range. Riboswitch-mediated control of the host cell growth enabled the amplification of the riboswitch response. Finally, L-tryptophan aptamers with different dissociation constants were employed to alter the operational range of the riboswitch. The dose-response curve was shifted towards higher L-tryptophan concentrations when an aptamer with higher dissociation constant was employed. All strategies were effective in modifying the distinct functional parameters of the L-tryptophan riboswitch, and they could be easily applied to optimization of other riboswitches owing to their simplicity. | - |
dc.language | English | - |
dc.publisher | WILEY | - |
dc.relation.isPartOf | BIOTECHNOLOGY AND BIOENGINEERING | - |
dc.subject | DUAL GENETIC SELECTION | - |
dc.subject | EMERGING APPLICATIONS | - |
dc.subject | SYNTHETIC BIOLOGY | - |
dc.subject | RNA | - |
dc.subject | APTAMERS | - |
dc.subject | BACTERIA | - |
dc.title | Systematic optimization of L-tryptophan riboswitches for efficient monitoring of the metabolite in Escherichia coli | - |
dc.type | Article | - |
dc.identifier.doi | 10.1002/bit.26448 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | BIOTECHNOLOGY AND BIOENGINEERING, v.115, no.1, pp.266 - 271 | - |
dc.identifier.wosid | 000416114400024 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 271 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 266 | - |
dc.citation.title | BIOTECHNOLOGY AND BIOENGINEERING | - |
dc.citation.volume | 115 | - |
dc.contributor.affiliatedAuthor | Jung, Gyoo Yeol | - |
dc.identifier.scopusid | 2-s2.0-85035064641 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 6 | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | DUAL GENETIC SELECTION | - |
dc.subject.keywordPlus | EMERGING APPLICATIONS | - |
dc.subject.keywordPlus | SYNTHETIC BIOLOGY | - |
dc.subject.keywordPlus | RNA | - |
dc.subject.keywordPlus | APTAMERS | - |
dc.subject.keywordPlus | BACTERIA | - |
dc.subject.keywordAuthor | biosensor | - |
dc.subject.keywordAuthor | dose-response curve | - |
dc.subject.keywordAuthor | L-tryptophan | - |
dc.subject.keywordAuthor | riboswitch tuning | - |
dc.subject.keywordAuthor | synthetic biology | - |
dc.relation.journalWebOfScienceCategory | Biotechnology & Applied Microbiology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Biotechnology & Applied Microbiology | - |
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