Literature DB >> 35922625

In Vivo Screening Method for the Identification and Characterization of Prokaryotic, Metabolite-Responsive Transcription Factors.

Amber Joka Bernauw1, Veerke De Kock1, Indra Bervoets2.   

Abstract

In prokaryotes, transcription factors (TFs) are of uttermost importance for the regulation of gene expression. However, the majority of TFs are not characterized today, which hampers both the understanding of fundamental processes and the development of TF-based applications, such as biosensors, used in metabolic engineering, synthetic biology, diagnostics, etc. One way of analyzing TFs is through in vivo screening, enabling the study of TF-promoter interactions, ligand inducibility, and ligand specificity in a high-throughput fashion. Here, an approach is described for the selection and cloning of TF-promoter pairs, the development of a reporter system, and the measurement and analysis of fluorescent reporter assays. Furthermore, the importance of a suitable inducible plasmid system is illustrated together with prospective adaptations to modify a reporter system's output signal. The given approach can be used for the investigation of native, heterologous, or even artificially created TFs in Escherichia coli, and can be extended toward use in other microorganisms.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biosensor; Escherichia coli; Gene regulation; Heterologous; High-throughput; In vivo screening; Ligand-induced response; Metabolite-responsive; Transcription factor

Mesh:

Substances:

Year:  2022        PMID: 35922625     DOI: 10.1007/978-1-0716-2413-5_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  20 in total

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8.  Dynamic regulation of metabolic flux in engineered bacteria using a pathway-independent quorum-sensing circuit.

Authors:  Apoorv Gupta; Irene M Brockman Reizman; Christopher R Reisch; Kristala L J Prather
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9.  Optogenetic regulation of engineered cellular metabolism for microbial chemical production.

Authors:  Evan M Zhao; Yanfei Zhang; Justin Mehl; Helen Park; Makoto A Lalwani; Jared E Toettcher; José L Avalos
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10.  A genome-wide approach for identification and characterisation of metabolite-inducible systems.

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