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Transcription Factor-Based Biosensors in High-Throughput Screening: Advances and Applications.
Journal article

Transcription Factor-Based Biosensors in High-Throughput Screening: Advances and Applications.

  • Cheng F Key Laboratory of Bioorganic Synthesis of Zhejiang Province, College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China.
  • Tang XL Key Laboratory of Bioorganic Synthesis of Zhejiang Province, College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China.
  • Kardashliev T Bioprocess Laboratory, Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
  • 2018-02-28
Published in:
  • Biotechnology journal. - 2018
Biosensors
Enzyme engineering
High-throughput screening
Strain evolution
Transcription factor
Amino Acids
Animals
Biomarkers
Biosensing Techniques
Cells, Cultured
Directed Molecular Evolution
Escherichia coli
High-Throughput Screening Assays
Pharmaceutical Preparations
Transcription Factors
English The molecular mechanisms that cells use to sense changes in the intra- and extracellular environment are increasingly utilized in synthetic biology to build genetic reporter constructs for various applications. Although in nature sensing can be RNA-mediated, most existing genetically-encoded biosensors are based on transcription factors (TF) and cognate DNA sequences. Here, the recent advances in the integration of TF-based biosensors in metabolic and protein engineering screens whereas distinction is made between production-driven and competitive screening systems for enzyme evolution under physiological conditions are discussed. Furthermore, the advantages and disadvantages of existing TF-based biosensors are examined with respects to dynamic range, sensitivity, and robustness, and compared to other screening approaches. The application examples discussed in this review demonstrate the promising potential TF-based biosensors hold as screening tools in laboratory evolution of proteins and metabolic pathways, alike.
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://sonar.rero.ch/global/documents/275311
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