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Tailor-made transcriptional biosensors for optimizing microbial cell factories

Brecht De Paepe (UGent) , Gert Peters (UGent) , Pieter Coussement (UGent) , Jo Maertens (UGent) and Marjan De Mey (UGent)
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Abstract
Monitoring cellular behavior and eventually properly adapting cellular processes is key to handle the enormous complexity of today’s metabolic engineering questions. Hence, transcriptional biosensors bear the potential to augment and accelerate current metabolic engineering strategies, catalyzing vital advances in industrial biotechnology. The development of such transcriptional biosensors typically starts with exploring nature’s richness. Hence, in a first part, the transcriptional biosensor architecture and the various modi operandi are briefly discussed, as well as experimental and computational methods and relevant ontologies to search for natural transcription factors and their corresponding binding sites. In the second part of this review, various engineering approaches are reviewed to tune the main characteristics of these (natural) transcriptional biosensors, i.e., the response curve and ligand specificity, in view of specific industrial biotechnology applications, which is illustrated using success stories of transcriptional biosensor engineering.
Keywords
Transcriptional biosensor, Transcriptional regulation, Prokaryotes, Ligand specificity engineering, Response curve engineering, ESCHERICHIA-COLI K-12, BACTERIAL REGULATORY PROTEINS, DNA-BINDING PROTEIN, GENE-EXPRESSION, TET REPRESSOR, LA-CARTE, IN-VIVO, ENHANCED BIOSYNTHESIS, METABOLITE PRODUCTION, EFFECTOR SPECIFICITY

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MLA
De Paepe, Brecht, et al. “Tailor-Made Transcriptional Biosensors for Optimizing Microbial Cell Factories.” JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY, vol. 44, no. 4, 2017, pp. 623–45, doi:10.1007/s10295-016-1862-3.
APA
De Paepe, B., Peters, G., Coussement, P., Maertens, J., & De Mey, M. (2017). Tailor-made transcriptional biosensors for optimizing microbial cell factories. JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY, 44(4), 623–645. https://doi.org/10.1007/s10295-016-1862-3
Chicago author-date
De Paepe, Brecht, Gert Peters, Pieter Coussement, Jo Maertens, and Marjan De Mey. 2017. “Tailor-Made Transcriptional Biosensors for Optimizing Microbial Cell Factories.” JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY 44 (4): 623–45. https://doi.org/10.1007/s10295-016-1862-3.
Chicago author-date (all authors)
De Paepe, Brecht, Gert Peters, Pieter Coussement, Jo Maertens, and Marjan De Mey. 2017. “Tailor-Made Transcriptional Biosensors for Optimizing Microbial Cell Factories.” JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY 44 (4): 623–645. doi:10.1007/s10295-016-1862-3.
Vancouver
1.
De Paepe B, Peters G, Coussement P, Maertens J, De Mey M. Tailor-made transcriptional biosensors for optimizing microbial cell factories. JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY. 2017;44(4):623–45.
IEEE
[1]
B. De Paepe, G. Peters, P. Coussement, J. Maertens, and M. De Mey, “Tailor-made transcriptional biosensors for optimizing microbial cell factories,” JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY, vol. 44, no. 4, pp. 623–645, 2017.
@article{8508360,
  abstract     = {{Monitoring cellular behavior and eventually properly adapting cellular processes is key to handle the enormous complexity of today’s metabolic engineering questions. Hence, transcriptional biosensors bear the potential to augment and accelerate current metabolic engineering strategies, catalyzing vital advances in industrial biotechnology. The development of such transcriptional biosensors typically starts with exploring nature’s richness. Hence, in a first part, the transcriptional biosensor architecture and the various modi operandi are briefly discussed, as well as experimental and computational methods and relevant ontologies to search for natural transcription factors and their corresponding binding sites. In the second part of this review, various engineering approaches are reviewed to tune the main characteristics of these (natural) transcriptional biosensors, i.e., the response curve and ligand specificity, in view of specific industrial biotechnology applications, which is illustrated using success stories of transcriptional biosensor engineering.}},
  author       = {{De Paepe, Brecht and Peters, Gert and Coussement, Pieter and Maertens, Jo and De Mey, Marjan}},
  issn         = {{1367-5435}},
  journal      = {{JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY}},
  keywords     = {{Transcriptional biosensor,Transcriptional regulation,Prokaryotes,Ligand specificity engineering,Response curve engineering,ESCHERICHIA-COLI K-12,BACTERIAL REGULATORY PROTEINS,DNA-BINDING PROTEIN,GENE-EXPRESSION,TET REPRESSOR,LA-CARTE,IN-VIVO,ENHANCED BIOSYNTHESIS,METABOLITE PRODUCTION,EFFECTOR SPECIFICITY}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{623--645}},
  title        = {{Tailor-made transcriptional biosensors for optimizing microbial cell factories}},
  url          = {{http://dx.doi.org/10.1007/s10295-016-1862-3}},
  volume       = {{44}},
  year         = {{2017}},
}

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